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style=\"text-align:justify;\">MITRE’s mission-driven teams are dedicated to solving problems for a safer world. 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engineers.\u003C/p>","2024-08-15T12:22:03.321Z","2024-08-15T12:22:04.983Z","2024-08-15T12:22:04.976Z","160",{"id":894,"name":1166,"alternativeText":15,"caption":15,"width":1167,"height":1168,"formats":1169,"hash":1187,"ext":1085,"mime":690,"size":1188,"url":1189,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1190,"updatedAt":1190},"mark-768x284.jpg",768,284,{"small":1170,"medium":1175,"thumbnail":1181},{"ext":1085,"url":1171,"hash":1172,"mime":690,"name":1173,"path":15,"size":1174,"width":658,"height":989},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/small_mark_768x284_594e84d5a2.jpg","small_mark_768x284_594e84d5a2","small_mark-768x284.jpg",10.65,{"ext":1085,"url":1176,"hash":1177,"mime":690,"name":1178,"path":15,"size":1179,"width":650,"height":1180},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/medium_mark_768x284_594e84d5a2.jpg","medium_mark_768x284_594e84d5a2","medium_mark-768x284.jpg",17.67,277,{"ext":1085,"url":1182,"hash":1183,"mime":690,"name":1184,"path":15,"size":1185,"width":607,"height":1186},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_mark_768x284_594e84d5a2.jpg","thumbnail_mark_768x284_594e84d5a2","thumbnail_mark-768x284.jpg",4.98,91,"mark_768x284_594e84d5a2",17.74,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/mark_768x284_594e84d5a2.jpg","2024-08-15T12:21:18.422Z",{"id":1192,"variation":807,"button":1193},59,[1194],{"id":576,"label":810,"size":617,"color":618,"style":15,"icon":619,"iconPosition":620,"url":1195,"newWindow":46,"downloadable":15,"shape":15},"http://www.markiiisys.com/","-132",{"id":276,"name":1198,"description":1199,"createdAt":1200,"updatedAt":1201,"publishedAt":1202,"url_path_id":1203,"logo":1204,"website":1232,"url_path":1237},"Mirabilis","\u003Cp style=\"text-align:justify;\">Mirabilis Design provides Digital Twins solution for the architecture trade-off, functional validation and failure analysis of flights missions, avionics, radars, software-defined systems and infotainment. &nbsp;This Digital Twin solution is used throughout the design process from concept to end-of-life by enabling both the shift-left and shift-right methodology. &nbsp;The product, VisualSim, uses a system-level modeling and simulation software with a large library of electronics, software, network and semiconductors components.\u003C/p>","2024-08-26T12:16:18.480Z","2024-08-26T12:16:19.942Z","2024-08-26T12:16:19.936Z","165",{"id":1205,"name":1206,"alternativeText":15,"caption":15,"width":774,"height":774,"formats":1207,"hash":1228,"ext":1085,"mime":690,"size":1229,"url":1230,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1231,"updatedAt":1231},146,"Mirabilis black.jpg",{"large":1208,"small":1213,"medium":1218,"thumbnail":1223},{"ext":1085,"url":1209,"hash":1210,"mime":690,"name":1211,"path":15,"size":1212,"width":693,"height":693},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/large_Mirabilis_black_b106c6a2f4.jpg","large_Mirabilis_black_b106c6a2f4","large_Mirabilis black.jpg",24.87,{"ext":1085,"url":1214,"hash":1215,"mime":690,"name":1216,"path":15,"size":1217,"width":658,"height":658},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/small_Mirabilis_black_b106c6a2f4.jpg","small_Mirabilis_black_b106c6a2f4","small_Mirabilis black.jpg",10.56,{"ext":1085,"url":1219,"hash":1220,"mime":690,"name":1221,"path":15,"size":1222,"width":650,"height":650},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/medium_Mirabilis_black_b106c6a2f4.jpg","medium_Mirabilis_black_b106c6a2f4","medium_Mirabilis black.jpg",17.55,{"ext":1085,"url":1224,"hash":1225,"mime":690,"name":1226,"path":15,"size":1227,"width":361,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Mirabilis_black_b106c6a2f4.jpg","thumbnail_Mirabilis_black_b106c6a2f4","thumbnail_Mirabilis black.jpg",2.21,"Mirabilis_black_b106c6a2f4",238.45,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Mirabilis_black_b106c6a2f4.jpg","2024-08-26T12:15:40.399Z",{"id":1233,"variation":807,"button":1234},60,[1235],{"id":282,"label":810,"size":617,"color":618,"style":15,"icon":619,"iconPosition":620,"url":1236,"newWindow":46,"downloadable":15,"shape":15},"https://www.mirabilisdesign.com/","-137",{"id":244,"name":1239,"description":1240,"createdAt":1241,"updatedAt":1242,"publishedAt":1243,"url_path_id":1244,"logo":1245,"website":1259,"url_path":1266},"Core Avionics and Industrial, Inc.","\u003Cp style=\"text-align:justify;\">CoreAVI’s comprehensive software suite enables development and deployment of complete safety critical solutions for aerospace, automotive, and industrial applications requiring certification to the highest safety levels coupled with full lifecycle support.\u003C/p>\u003Cp style=\"text-align:justify;\">CoreAVI’s solutions are used to develop and deliver both graphics and compute applications including safe autonomy, machine vision and AI in commercial and military avionics systems. CoreSuite 2.0 includes AI application development tools, libraries, and a deployment infrastructure that includes its VkCore® SC implementation enabling high-performance compute acceleration as well as ComputeCore™ - CoreAVI’s AI/ML acceleration library that provide APIs for BLAS, FFT, and a neural network inference engine.\u003C/p>\u003Cp style=\"text-align:justify;\">CoreAVI software is used in safe, reliable, and certifiable systems including avionics flight decks for fixed and rotary wing aircraft, crew displays, and ground control stations. CoreAVI’s suite of Safe AI tools, libraries and open standards meet FACE and MOSA specifications. Our abstraction layer sets the stage for the future of software defined embedded systems, and we support a range of real-time operating systems, graphics chipsets, and hardware platforms. Certification evidence is available to DO-17B Level A and DO-254 DAL A.\u003C/p>","2024-08-31T01:08:22.587Z","2024-08-31T01:08:24.339Z","2024-08-31T01:08:24.329Z","166",{"id":1246,"name":1247,"alternativeText":15,"caption":15,"width":1248,"height":800,"formats":1249,"hash":1255,"ext":1085,"mime":690,"size":1256,"url":1257,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1258,"updatedAt":1258},152,"CoreAVI-NEW-COLOR-SM.jpg",400,{"thumbnail":1250},{"ext":1085,"url":1251,"hash":1252,"mime":690,"name":1253,"path":15,"size":1254,"width":607,"height":996},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Core_AVI_NEW_COLOR_SM_72c6ae0ce9.jpg","thumbnail_Core_AVI_NEW_COLOR_SM_72c6ae0ce9","thumbnail_CoreAVI-NEW-COLOR-SM.jpg",7.92,"Core_AVI_NEW_COLOR_SM_72c6ae0ce9",15.9,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Core_AVI_NEW_COLOR_SM_72c6ae0ce9.jpg","2024-08-31T01:08:00.342Z",{"id":1260,"variation":807,"button":1261},61,[1262],{"id":1263,"label":1264,"size":617,"color":618,"style":15,"icon":619,"iconPosition":620,"url":1265,"newWindow":46,"downloadable":15,"shape":15},87,"website","http://www.coreavi.com/","-138",{"id":92,"name":1268,"description":1269,"createdAt":1270,"updatedAt":1271,"publishedAt":1272,"url_path_id":1273,"logo":1274,"website":1308,"url_path":1313},"Parallax","\u003Cp style=\"text-align:justify;\">Parallax Advanced Research is a 501(c)(3) private nonprofit research institute that tackles global challenges through strategic partnerships with government, industry, and academia. It accelerates innovation, addresses critical global issues, and develops groundbreaking ideas with its partners. With offices in Ohio and Virginia, Parallax aims to deliver new solutions and speed them to market. In 2023, Parallax and the Ohio Aerospace Institute, a private 501(c)(3) nonprofit research institute, entered an affiliation to drive innovation and technological advancements in Ohio and for the Nation. The Ohio Aerospace Institute plays a pivotal role in advancing the aerospace industry in Ohio and the Nation by fostering collaborations between universities, aerospace industries, and government organizations and managing aerospace research, education, and workforce development projects.\u003C/p>","2024-09-23T22:10:04.745Z","2024-09-23T22:10:06.448Z","2024-09-23T22:10:06.441Z","179",{"id":1275,"name":1276,"alternativeText":15,"caption":15,"width":1277,"height":1278,"formats":1279,"hash":1304,"ext":18,"mime":19,"size":1305,"url":1306,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1307,"updatedAt":1307},172,"ParallaxLogo_Primary_CMYk.png",1800,951,{"large":1280,"small":1286,"medium":1292,"thumbnail":1298},{"ext":18,"url":1281,"hash":1282,"mime":19,"name":1283,"path":15,"size":1284,"width":693,"height":1285},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/large_Parallax_Logo_Primary_CM_Yk_c695819a27.png","large_Parallax_Logo_Primary_CM_Yk_c695819a27","large_ParallaxLogo_Primary_CMYk.png",71.36,528,{"ext":18,"url":1287,"hash":1288,"mime":19,"name":1289,"path":15,"size":1290,"width":658,"height":1291},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/small_Parallax_Logo_Primary_CM_Yk_c695819a27.png","small_Parallax_Logo_Primary_CM_Yk_c695819a27","small_ParallaxLogo_Primary_CMYk.png",33.11,264,{"ext":18,"url":1293,"hash":1294,"mime":19,"name":1295,"path":15,"size":1296,"width":650,"height":1297},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/medium_Parallax_Logo_Primary_CM_Yk_c695819a27.png","medium_Parallax_Logo_Primary_CM_Yk_c695819a27","medium_ParallaxLogo_Primary_CMYk.png",52.84,396,{"ext":18,"url":1299,"hash":1300,"mime":19,"name":1301,"path":15,"size":1302,"width":607,"height":1303},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Parallax_Logo_Primary_CM_Yk_c695819a27.png","thumbnail_Parallax_Logo_Primary_CM_Yk_c695819a27","thumbnail_ParallaxLogo_Primary_CMYk.png",16.97,129,"Parallax_Logo_Primary_CM_Yk_c695819a27",24.61,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Parallax_Logo_Primary_CM_Yk_c695819a27.png","2024-09-23T22:09:41.457Z",{"id":1309,"variation":807,"button":1310},65,[1311],{"id":1186,"label":616,"size":617,"color":618,"style":15,"icon":619,"iconPosition":620,"url":1312,"newWindow":46,"downloadable":15,"shape":15},"https://parallaxresearch.org/","-147",{"pagination":1315},{"page":5,"pageSize":270,"pageCount":5,"total":244},{"id":276,"heading":271,"pageHeader":1317,"sections":1318},{"id":276,"description":15,"showPageHeader":46,"backgroundColor":49,"image":15},[1319,1360,1689],{"id":270,"__component":1320,"componentVariation":1321,"styles":15,"header":1322,"body":1358},"content.content","Content Image Left",{"id":233,"heading":15,"prose":45,"lead":15,"eyebrow":15,"badge":15,"componentVariation":1323,"containerWidth":15,"image":1324},"Heading Center",{"id":1325,"name":1326,"alternativeText":15,"caption":15,"width":1327,"height":1328,"formats":1329,"hash":1354,"ext":18,"mime":19,"size":1355,"url":1356,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1357,"updatedAt":1357},149,"DASC Tutorials (1).png",1545,2000,{"large":1330,"small":1336,"medium":1342,"thumbnail":1348},{"ext":18,"url":1331,"hash":1332,"mime":19,"name":1333,"path":15,"size":1334,"width":1335,"height":693},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/large_DASC_Tutorials_1_ad996a8749.png","large_DASC_Tutorials_1_ad996a8749","large_DASC Tutorials (1).png",629.57,773,{"ext":18,"url":1337,"hash":1338,"mime":19,"name":1339,"path":15,"size":1340,"width":1341,"height":658},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/small_DASC_Tutorials_1_ad996a8749.png","small_DASC_Tutorials_1_ad996a8749","small_DASC Tutorials (1).png",210.22,386,{"ext":18,"url":1343,"hash":1344,"mime":19,"name":1345,"path":15,"size":1346,"width":1347,"height":650},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/medium_DASC_Tutorials_1_ad996a8749.png","medium_DASC_Tutorials_1_ad996a8749","medium_DASC Tutorials (1).png",403.68,579,{"ext":18,"url":1349,"hash":1350,"mime":19,"name":1351,"path":15,"size":1352,"width":1353,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_DASC_Tutorials_1_ad996a8749.png","thumbnail_DASC_Tutorials_1_ad996a8749","thumbnail_DASC Tutorials (1).png",32.39,121,"DASC_Tutorials_1_ad996a8749",381.57,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/DASC_Tutorials_1_ad996a8749.png","2024-08-29T22:03:24.048Z",{"id":264,"title":15,"body":1359,"containerWidth":15,"buttonGroup":15,"media":15},"\u003Cfigure class=\"table\">\u003Ctable>\u003Ctbody>\u003Ctr>\u003Ctd style=\"height:16.0pt;width:133pt;\" colspan=\"5\">\u003Cstrong>SUNDAY, SEPT. 29, 2024\u003C/strong>\u003C/td>\u003Ctd>&nbsp;\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"height:16.0pt;\">\u003Cstrong>Time\u003C/strong>\u003C/td>\u003Ctd style=\"border-left-style:none;\">\u003Cstrong>Label\u003C/strong>\u003C/td>\u003Ctd style=\"border-left-style:none;\">\u003Cstrong>Presenter\u003C/strong>\u003C/td>\u003Ctd>\u003Cstrong>Tutorial Title\u003C/strong>\u003C/td>\u003Ctd>\u003Cstrong>Track\u003C/strong>\u003C/td>\u003Ctd>\u003Cstrong>Room\u003C/strong>\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">8-11am\u003C/td>\u003Ctd style=\"border-left-style:none;\">SM1\u003C/td>\u003Ctd>Tim Etherington\u003C/td>\u003Ctd style=\"border-left-style:none;\">Modern Avionics Architectures\u003C/td>\u003Ctd style=\"border-top-style:none;\">Avionics and Space Systems\u003C/td>\u003Ctd>Monterey\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">11:30am-2:30pm\u003C/td>\u003Ctd style=\"border-top-style:none;\">SL1\u003C/td>\u003Ctd style=\"border-top-style:none;\">George Andrews\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">Spacecraft Systems Engineering - I\u003C/td>\u003Ctd>Avionics and Space Systems\u003C/td>\u003Ctd>Monterey\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">3-6pm\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">SA1\u003C/td>\u003Ctd style=\"border-top-style:none;\">George Andrews\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">Spacecraft Systems Engineering - II\u003C/td>\u003Ctd>Avionics and Space Systems\u003C/td>\u003Ctd>Monterey\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"height:16.0pt;\">11:30am-2:30pm\u003C/td>\u003Ctd>SL2\u003C/td>\u003Ctd>Maarten Ujit de Haag\u003C/td>\u003Ctd style=\"border-left-style:none;\">Assured Navigation for Unmanned Aircraft Systems\u003C/td>\u003Ctd>UAS\u003C/td>\u003Ctd>Bel Aire Ballroom\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">3-6pm\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">SA2\u003C/td>\u003Ctd style=\"border-top-style:none;\">Giancarmine Fasano\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">Detect and Avoid for Unmanned Aircraft Systems\u003C/td>\u003Ctd>UAS\u003C/td>\u003Ctd>Carmel\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">8-11am\u003C/td>\u003Ctd style=\"border-left-style:none;\">SM3\u003C/td>\u003Ctd>Krishna Sampigethaya\u003C/td>\u003Ctd style=\"border-left-style:none;\">Introduction to Aviation Cybersecurity&nbsp;\u003C/td>\u003Ctd>Aviation Cyber Security\u003C/td>\u003Ctd>Carmel\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">11:30am-2:30pm\u003C/td>\u003Ctd style=\"border-left-style:none;\">SL3\u003C/td>\u003Ctd style=\"border-top-style:none;\">Krishna Sampigethaya\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">Introduction to Ethical Hacking and Penetration Testing\u003C/td>\u003Ctd>Aviation Cyber Security\u003C/td>\u003Ctd>Carmel\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">11:30am-2:30pm\u003C/td>\u003Ctd style=\"border-top-style:none;\">SL4\u003C/td>\u003Ctd style=\"border-top-style:none;\">Vance Hilderman\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">Applying the new Aviation Safety/Systems Standards:&nbsp; SAE ARP4754B &amp; ARP4761A [an AFuzion tutorial]\u003C/td>\u003Ctd>Aircraft Certification\u003C/td>\u003Ctd>La Jolla\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">3-6pm\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">SA4\u003C/td>\u003Ctd style=\"border-top-style:none;\">Vance Hilderman\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">Understanding and Optimizing Avionics Requirements per DO-178C, DO-254, and ARP4754A [an AFuzion© tutorial]\u003C/td>\u003Ctd>Aircraft Certification\u003C/td>\u003Ctd>La Jolla\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"height:16.0pt;\">3-6pm\u003C/td>\u003Ctd>SA5\u003C/td>\u003Ctd>Rohit Mital, Ram Raju, Brian O'Donnell\u003C/td>\u003Ctd style=\"border-left-style:none;\">FREE TUTORIAL: Demystifying Machine Learning, Deep Learning and Generative AI\u003C/td>\u003Ctd>FREE Tutorial\u003C/td>\u003Ctd>Bel Aire Ballroom\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"height:15.5pt;\">&nbsp;\u003C/td>\u003Ctd>&nbsp;\u003C/td>\u003Ctd>&nbsp;\u003C/td>\u003Ctd>&nbsp;\u003C/td>\u003Ctd>&nbsp;\u003C/td>\u003Ctd>&nbsp;\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"height:16.0pt;\" colspan=\"5\">\u003Cstrong>MONDAY, SEPT. 30, 2024\u003C/strong>\u003C/td>\u003Ctd>&nbsp;\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"height:16.0pt;\">8-11am\u003C/td>\u003Ctd style=\"border-left-style:none;\">MM1\u003C/td>\u003Ctd>Banavar Sridhar\u003C/td>\u003Ctd style=\"border-left-style:none;\">Impact of Aviation Induced Contrails and Emissions on Climate: Challenges in the Detection, Prediction and Avoidance of Contrail and the Use of ML Techniques to Reduce Uncertainties\u003C/td>\u003Ctd>Autonomy and ATM\u003C/td>\u003Ctd>Monterey\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">11:30am-2:30pm\u003C/td>\u003Ctd style=\"border-top-style:none;\">ML1\u003C/td>\u003Ctd style=\"border-top-style:none;\">Xavier Olive\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">Machine Learning Techniques for Aircraft Trajectory Analysis\u003C/td>\u003Ctd>Autonomy and ATM\u003C/td>\u003Ctd>Monterey\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">3-6pm\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">MA1\u003C/td>\u003Ctd style=\"border-top-style:none;\">Krishna Kalyanam, Stephen Clarke\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">Application of AI/ML tools for Air Traffic Management – a NASA perspective\u003C/td>\u003Ctd>Autonomy and ATM\u003C/td>\u003Ctd>Monterey\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">8-11am\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">MM3\u003C/td>\u003Ctd style=\"border-top-style:none;\">Leonidas Kosmidis\u003C/td>\u003Ctd style=\"border-top-style:none;\">Introduction to CUDA Programming and GPU Hardware Architecture\u003C/td>\u003Ctd style=\"border-left-style:none;\">Aviation Technology\u003C/td>\u003Ctd>Carmel\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">11:30am-2:30pm\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">ML3\u003C/td>\u003Ctd style=\"border-top-style:none;\">Leonidas Kosmidis\u003C/td>\u003Ctd style=\"border-top-style:none;\">Introduction to Certifiable General Purpose GPU Programming for Avionics Systems\u003C/td>\u003Ctd style=\"border-left-style:none;\">Aviation Technology\u003C/td>\u003Ctd>Carmel\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"height:16.0pt;\">3-6pm\u003C/td>\u003Ctd style=\"border-left-style:none;\">MA3\u003C/td>\u003Ctd>Zamira Daw, Kim Wasson, Michael Holloway\u003C/td>\u003Ctd>A Guide to Argument-Based Assurance and Certification\u003C/td>\u003Ctd>Aviation Technology\u003C/td>\u003Ctd>Carmel\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">11:30am-2:30pm\u003C/td>\u003Ctd style=\"border-top-style:none;\">ML4\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;width:304pt;\">Steven Harbour\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">Neuromorphic Engineering\u003C/td>\u003Ctd>Innovations in Aviation\u003C/td>\u003Ctd>La Jolla\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">3-6pm\u003C/td>\u003Ctd style=\"border-top-style:none;\">MA4\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">Siddhartha Gupta, Umut Durak\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">Scenario Modeling for AI-Based Airborne Systems\u003C/td>\u003Ctd>Innovations in Aviation\u003C/td>\u003Ctd>La Jolla\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">8-11am\u003C/td>\u003Ctd style=\"border-top-style:none;\">MM5\u003C/td>\u003Ctd style=\"border-top-style:none;\">Tuan Bui, John Ross, William Vance\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">FREE TUTORIAL: Introduction to Multi-Core Processing Interference Channel Analysis, Identification, and Mitigation for Safety-Critical Applications&nbsp;\u003C/td>\u003Ctd>FREE Tutorial\u003C/td>\u003Ctd>Bel Aire Ballroom\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-top-style:none;height:16.0pt;\">11:30am-2:30pm\u003C/td>\u003Ctd style=\"border-top-style:none;\">ML5\u003C/td>\u003Ctd style=\"border-top-style:none;\">Sabatini, Gardi, Blasch, et. al.\u003C/td>\u003Ctd style=\"border-left-style:none;border-top-style:none;\">AESS FREE TUTORIAL: Digital Avionics for Sustainability\u003C/td>\u003Ctd style=\"border-top-style:none;\">FREE Tutorial\u003C/td>\u003Ctd>Bel Aire Ballroom\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>",{"id":5,"__component":1361,"componentVariation":1362,"contactsVariation":1363,"styles":15,"header":1364,"sessionsGroup":1366},"content.sessions","Sessions Base","Card Contact Full",{"id":155,"heading":1365,"prose":45,"lead":15,"eyebrow":15,"badge":15,"componentVariation":1323,"containerWidth":15,"image":15},"Sunday, September 29",[1367,1437,1522,1574,1628],{"id":5,"groupTitle":1368,"sessions":1369},"Avionics and Space Systems",[1370,1404],{"id":5,"session":1371},{"id":5,"title":1372,"teaser":1373,"body":1374,"createdAt":1375,"updatedAt":1376,"publishedAt":1377,"url_path_id":1378,"contacts":1379,"url_path":1403},"Modern Avionics Architectures","\u003Cp style=\"text-align:justify;\">This tutorial explores architectures from numerous civil and military aircraft. Key architecture and design challenges are described for legacy as well as the newest aircraft types. Architectures are examined with comparisons of hardware and avionics functions of each are discussed in detail. Civil aircraft investigated include Boeing 787 and Airbus A350. Military aircraft include F-22 and Rafael. IMA 2G and other advanced concepts will be explored.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">Specific architecture examples are used to represent real word design challenges and solutions. Integrated and connected aircraft concepts are explored in reference to the integrated modular avionics architectures and how they can support integrated digital datalink and future air traffic management. Architectures have been carefully chosen to cover the following:&nbsp;\u003C/p>\u003Cul style=\"list-style-type:disc;\">\u003Cli style=\"text-align:justify;\">Broad spectrum of aircraft types, military and civilian\u003C/li>\u003Cli style=\"text-align:justify;\">Federated and integrated designs with emphasis on the latest modern commercial and military aircraft\u003C/li>\u003Cli style=\"text-align:justify;\">Emphasis on the latest integrated architectures with partitioning and connected aircraft\u003C/li>\u003Cli style=\"text-align:justify;\">Line Replaceable Unit (LRU) vis-à-vis modular packaging&nbsp;\u003C/li>\u003Cli style=\"text-align:justify;\">Impact of the Modular Open Systems Approach (MOSA) on architecture\u003C/li>\u003Cli style=\"text-align:justify;\">Range of non-essential to flight critical applications and the impact on future designs\u003C/li>\u003Cli style=\"text-align:justify;\">Connected aircraft and design decisions for integrated designs\u003C/li>\u003C/ul>","2024-06-29T00:16:53.819Z","2024-06-29T00:16:57.780Z","2024-06-29T00:16:57.773Z","94",[1380],{"id":98,"name":1381,"committee":15,"position":15,"affiliation":15,"email":15,"biography":1382,"createdAt":1383,"updatedAt":1384,"url_path_id":1385,"contactPhoto":1386,"socialLinks":1401,"url_path":1402},"Tim Etherington","\u003Cp style=\"text-align:justify;\">Timothy Etherington graduated from North Dakota State University with a Master of Science in Electrical Engineering in 1987. Tim conducts flight deck research at NASA Langley Research Center and is recently retired from Collins Aerospace as a Technical Fellow. Mr. Etherington had worked at Rockwell Collins for over thirty years with extensive experience in military and commercial flight deck design and applied human factors. He helped design the flight decks for the Canadair Regional Jet and other business and regional primary flight display systems. He led the perspective, synthetic and enhanced flight deck research at Rockwell Collins including the flight-testing completed with NASA Langley and Air Force Research labs. He holds an FAA Airline Transport Pilot certificate with a Citation Type Rating and holds commercial fixed wing and private pilot rotorcraft ratings. Mr. Etherington is co-chair for RTCA SC-213 working on standards for enhanced and synthetic vision systems.\u003C/p>","2024-06-29T00:15:48.949Z","2024-07-05T07:28:12.934Z","93",{"id":1387,"name":1388,"alternativeText":15,"caption":15,"width":344,"height":1389,"formats":1390,"hash":1397,"ext":1085,"mime":690,"size":1398,"url":1399,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1400,"updatedAt":1400},97,"etherington-tim-142x200.jpg",157,{"thumbnail":1391},{"ext":1085,"url":1392,"hash":1393,"mime":690,"name":1394,"path":15,"size":1395,"width":1396,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_etherington_tim_142x200_e69cb49680.jpg","thumbnail_etherington_tim_142x200_e69cb49680","thumbnail_etherington-tim-142x200.jpg",4.68,141,"etherington_tim_142x200_e69cb49680",4.76,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/etherington_tim_142x200_e69cb49680.jpg","2024-07-05T07:28:10.207Z",[],"-69","-70",{"id":27,"session":1405},{"id":27,"title":1406,"teaser":1407,"body":1408,"createdAt":1409,"updatedAt":1410,"publishedAt":1411,"url_path_id":1412,"contacts":1413,"url_path":1436},"Spacecraft Avionics Systems Engineering Fundamentals -I and II","\u003Cp style=\"text-align:justify;\">This course offers a detailed look at basic spacecraft avionics systems engineering and design processes and principals. All spacecraft avionics systems have similarities, but differ in many ways. This course addresses the up-front systems engineering process; requirement levels, trade studies, requirements allocation/linking requirements derivation, requirements verification, risk and risk assessment, safety, integration and test, costing, scheduling, and then applying all this to the avionics subsystem level design on a subsystem-by-subsystem basis. Attendees will be exposed to avionics subsystem designs that are typically used on satellite buses and will learn the terms, nomenclature and rules of thumb used in the development process. Each avionics subsystem is explained in detail to gain insight into manpower and cost requirements. In addition to spacecraft avionics equipment, the design, fabrication, and qualification of the electrical ground support equipment required for satellites are discussed in detail.\u003C/p>","\u003Cp style=\"margin-left:0in;text-align:justify;\">\u003Cspan style=\"color:#333333;\">\u003Cstrong>Who Should Attend:\u003C/strong>&nbsp;\u003C/span>\u003C/p>\u003Cp style=\"margin-left:0in;text-align:justify;\">\u003Cspan style=\"color:#333333;\">Space, Spacecraft, and Launch Vehicle Systems Engineers, Avionics Subsystem Designers, Managers, Business Development personnel, System Safety Engineers, Risk Engineers and Managers, Electrical Ground Support Equipment Engineers, Integration and Test Engineers, and Environmental Test Engineers\u003C/span>\u003C/p>\u003Cp style=\"margin-left:0in;text-align:justify;\">\u003Cspan style=\"color:#333333;\">\u003Cstrong>What You Will Learn:\u003C/strong>&nbsp;\u003C/span>\u003C/p>\u003Cp style=\"margin-left:0in;text-align:justify;\">\u003Cspan style=\"color:#333333;\">Applying the systems engineering process and principles to the system level design, developing the overall and subsystem architectures and then down into each of the Avionics Subsystems. How the systems engineering process is applied to evaluate and determine the risks, safety, and trade studies to the requirements derivation process, subsystem design, and then requirements verification.\u003C/span>\u003C/p>","2024-06-29T00:18:38.689Z","2024-06-29T00:18:44.092Z","2024-06-29T00:18:44.086Z","95",[1414],{"id":130,"name":1415,"committee":15,"position":15,"affiliation":1416,"email":15,"biography":1417,"createdAt":1418,"updatedAt":1419,"url_path_id":1420,"contactPhoto":1421,"socialLinks":1434,"url_path":1435},"George N. Andrew","GNA Aerospace Consulting Group","\u003Cp style=\"text-align:justify;\">George Andrew has over 38 years of experience relating to spacecraft, space instrument and launch vehicle avionics architecture, design, manufacturing and testing\u003Cbr>In addition, Mr. Andrew has extensive mission / systems engineering, and program/project management experience. He has consulted with start-up launch vehicle and spacecraft companies, managing the flight and ground hardware/software architecture, design, development, manufacturing, test, and launch. Mr. Andrew has been the program/project manager for several spacecraft program contracts and the Avionics Department Manager for two start-up launch vehicles. He is currently supporting the NASA Earth Science Program Office in the Program Systems Engineering office located at the NASA Goddard Space Flight Center in Greenbelt, MD.\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cbr>Mr. Andrew is President of GNA Aerospace Consulting Group and is an Associate Fellow within the AIAA.\u003Cbr>&nbsp;\u003C/p>","2023-12-19T20:30:01.270Z","2024-06-29T00:17:41.729Z","10",{"id":1069,"name":1422,"alternativeText":15,"caption":15,"width":1423,"height":1423,"formats":1424,"hash":1430,"ext":1085,"mime":690,"size":1431,"url":1432,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1433,"updatedAt":1433},"1516351127941.jpg",337,{"thumbnail":1425},{"ext":1085,"url":1426,"hash":1427,"mime":690,"name":1428,"path":15,"size":1429,"width":361,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_1516351127941_fb24ed4c42.jpg","thumbnail_1516351127941_fb24ed4c42","thumbnail_1516351127941.jpg",4.96,"1516351127941_fb24ed4c42",16.12,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/1516351127941_fb24ed4c42.jpg","2024-02-27T01:56:54.097Z",[],"-7","-71",{"id":27,"groupTitle":1438,"sessions":1439},"UAS",[1440,1475],{"id":111,"session":1441},{"id":111,"title":1442,"teaser":1443,"body":1444,"createdAt":1445,"updatedAt":1446,"publishedAt":1447,"url_path_id":1448,"contacts":1449,"url_path":1474},"Assured Navigation for Unmanned Aircraft Systems","\u003Cp style=\"text-align:justify;\">This course provides a fundamental background in assured navigation for unmanned aircraft systems (UAS). It first introduces the various UAS/RPAS application domains and operational environments, UAS flight management and path planning, required performance parameters, and autonomy at the various levels of the Guidance, Navigation and Control function.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">Furthermore, it addresses the foundations of Global Navigation Satellite Systems (GNSS) and inertial navigation and discusses the challenges of operating in the various target environments with sole-means GNSS. Next, augmentation methods and alternative navigation methods will be discussed with a focus on guaranteeing required navigation performance in, especially, GNSS-challenged environments. Finally, the course will talk about the role of the navigation function in surveillance, geo-fencing and relative navigation in case of swarms of UAS.\u003C/p>","2024-06-29T00:22:19.112Z","2024-06-29T00:25:23.460Z","2024-06-29T00:25:23.454Z","97",[1450],{"id":161,"name":1451,"committee":15,"position":15,"affiliation":1452,"email":15,"biography":1453,"createdAt":1454,"updatedAt":1455,"url_path_id":1456,"contactPhoto":1457,"socialLinks":1472,"url_path":1473},"Maarten Uijt de Haag","TU Berlin","\u003Cp style=\"text-align:justify;\">Dr. Maarten Uijt de Haag is Professor at the Technische Universität Berlin (TU Berlin) and leads the Chair of Flight Guidance and Air Traffic in the Institute of Aeronautics &amp; Astronautics. He obtained his M.S.E.E. (‘ir’) degree from Delft University in The Netherlands in 1994 and a Ph.D. in Electrical Engineering from Ohio University in Athens, Ohio in 1999. He has been involved with navigation-related research since 1992. More recently, his research activities have focused on sensor integration methods using lasers, vision, GNSS, and inertial for manned and unmanned aerial vehicles, terrain referenced navigation, aerial vehicle surveillance, collision avoidance and information management systems. He has authored or co-authored over 180 navigation-related publications and seven book chapters. He is a member of the Institute of Navigation (ION), a senior member of the IEEE and an associate Fellow of the AIAA and Royal Institute of Navigation (RIN). He was awarded the 2007 Institute of Navigation Colonel Thomas L. Thurlow Award for his contributions to laser-based navigation and integrity monitors for synthetic vision systems.\u003C/p>","2024-06-29T00:21:12.296Z","2024-09-24T14:24:49.158Z","96",{"id":1458,"name":1459,"alternativeText":15,"caption":15,"width":1460,"height":1461,"formats":1462,"hash":1468,"ext":1085,"mime":690,"size":1469,"url":1470,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1471,"updatedAt":1471},109,"Picture1.jpg",208,269,{"thumbnail":1463},{"ext":1085,"url":1464,"hash":1465,"mime":690,"name":1466,"path":15,"size":1467,"width":1353,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Picture1_fb807dea6f.jpg","thumbnail_Picture1_fb807dea6f","thumbnail_Picture1.jpg",4.95,"Picture1_fb807dea6f",10.96,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Picture1_fb807dea6f.jpg","2024-08-07T14:06:25.708Z",[],"-72","-73",{"id":130,"session":1476},{"id":130,"title":1477,"teaser":1478,"body":1479,"createdAt":1480,"updatedAt":1481,"publishedAt":1482,"url_path_id":1483,"contacts":1484,"url_path":1521},"Detect and Avoid for Unmanned Aircraft Systems","\u003Cp style=\"text-align:justify;\">In the latest years, sense and avoid (SAA), or detect and avoid (DAA), has represented one of the main roadblocks to the integration of unmanned aircraft systems (UAS) operations. This course outlines and reviews architectures, technologies, and algorithms for SAA. First, starting from a discussion about what constitutes a UAS and how it is different than manned aircraft, basic SAA definitions and taxonomies are discussed.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">Ground-based/airborne and cooperative/non-cooperative architectures are covered. The SAA process is dissected into its fundamental tasks, which are discussed in details. Different sensing algorithms and technologies are presented, including radar and optical systems. Potential and challenges of multi-sensor-based systems and data fusion are pointed out. Techniques for conflict detection, and approaches for remotely operated or autonomous avoidance are introduced. The tutorial ends with an overview of current perspectives and recent progress relevant to SAA for UAS integration in the Air Traffic Management (ATM) system and in the framework of UAS Traffic Management (UTM) / U-Space and Urban Air Mobility. &nbsp;&nbsp;\u003C/p>","2024-06-29T00:27:13.178Z","2024-06-29T00:27:16.795Z","2024-06-29T00:27:16.791Z","98",[1485],{"id":426,"name":1486,"committee":15,"position":15,"affiliation":1487,"email":15,"biography":1488,"createdAt":1489,"updatedAt":1490,"url_path_id":1491,"contactPhoto":1492,"socialLinks":1519,"url_path":1520},"Giancarmine Fasano","University of Naples","\u003Cp style=\"text-align:justify;\">Giancarmine Fasano is Associate Professor at the University of Naples \"Federico II\", &nbsp;where he holds courses in \"Unmanned Aircraft Systems\" and \"Space Flight Dynamics\". &nbsp;His research activities in the field of aeronautics are focused on UAS, and in particular on sense and avoid and cooperative multi-UAV systems. In the space field he is mainly interested in distributed space systems and proximity operations, with emphasis on relative motion design and control. He is Member of the Avionics Systems Panel of the IEEE Aerospace and Electronic Systems Society and Associate Editor of the IEEE AESS Magazine for the UAS area of specialty. He is also Member of the AIAA Sensor Systems and Information Fusion Technical Committee and of the IAA Committee on Small Satellites. He has co-authored over 110 publications and five book chapters.\u003C/p>","2023-12-19T20:31:23.856Z","2024-06-29T00:26:16.419Z","14",{"id":1263,"name":1493,"alternativeText":15,"caption":15,"width":1494,"height":1495,"formats":1496,"hash":1514,"ext":18,"mime":19,"size":1515,"url":1516,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1517,"updatedAt":1518},"Giancarmine Fasano.png",760,950,{"small":1497,"medium":1502,"thumbnail":1508},{"ext":18,"url":1498,"hash":1499,"mime":19,"name":1500,"path":15,"size":1501,"width":1248,"height":658},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/small_Giancarmine_Fasano_ff92308499.png","small_Giancarmine_Fasano_ff92308499","small_Giancarmine Fasano.png",449.74,{"ext":18,"url":1503,"hash":1504,"mime":19,"name":1505,"path":15,"size":1506,"width":1507,"height":650},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/medium_Giancarmine_Fasano_ff92308499.png","medium_Giancarmine_Fasano_ff92308499","medium_Giancarmine Fasano.png",955.14,600,{"ext":18,"url":1509,"hash":1510,"mime":19,"name":1511,"path":15,"size":1512,"width":1513,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Giancarmine_Fasano_ff92308499.png","thumbnail_Giancarmine_Fasano_ff92308499","thumbnail_Giancarmine Fasano.png",52.56,125,"Giancarmine_Fasano_ff92308499",272.39,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Giancarmine_Fasano_ff92308499.png","2024-03-29T07:02:39.468Z","2024-11-13T19:28:35.533Z",[],"-11","-74",{"id":111,"groupTitle":1523,"sessions":1524},"Aviation Cyber Security",[1525,1558],{"id":197,"session":1526},{"id":197,"title":1527,"teaser":1528,"body":1529,"createdAt":1530,"updatedAt":1531,"publishedAt":1532,"url_path_id":1533,"contacts":1534,"url_path":1557},"Introduction to Aviation Cyber Security","\u003Cp style=\"text-align:justify;\">The cyber threat landscape of aviation is increasing. Threats bring new security risks that are specific to aviation and impact public safety and well-being. This tutorial will introduce you to aviation cyber security, focusing on the aircraft at the center of an increasingly complex and technology-driven aviation ecosystem.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">Upon completion of this tutorial, you will be able to:&nbsp;\u003C/span>\u003C/p>\u003Cul style=\"list-style-type:disc;\">\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">comprehensively summarize and skillfully analyze today’s aviation cyber threat and security landscape.&nbsp;\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">considerations in securing crewed aircraft, UAS aircraft, and their supporting systems.&nbsp;\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">analyze case studies to evaluate threats from vulnerabilities as well as risks from threats to aviation systems.&nbsp;\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">recognize, examine, and compare some of the recent advances in aviation cyber security, including those related to avionics, crew, and aircraft, air traffic control, UAS, and UTM systems.\u003C/span>\u003C/li>\u003C/ul>\u003Cul>\u003Cli style=\"text-align:justify;\">cybersecurity terms and concepts and their application to the aviation industry\u003C/li>\u003Cli style=\"text-align:justify;\">Identify and discuss applicable legal and governmental policy frameworks and issues.\u003C/li>\u003C/ul>","2024-06-29T00:29:08.075Z","2024-06-29T00:29:12.061Z","2024-06-29T00:29:12.056Z","99",[1535],{"id":148,"name":1536,"committee":15,"position":15,"affiliation":1537,"email":15,"biography":1538,"createdAt":1539,"updatedAt":1540,"url_path_id":1541,"contactPhoto":1542,"socialLinks":1555,"url_path":1556},"Krishna Sampigethaya","Embry-Riddle Aeronautical University-Prescott","\u003Cp style=\"text-align:justify;\">Krishna Sampigethaya is Professor and Department Chair of Cyber Intelligence and Security at the Embry-Riddle Aeronautical University in Prescott, AZ. https://prescott.erau.edu/cyber. The department is DHS/NSA CAE-CD designated, ABET-Cyber accredited, US Cyber Command AEN member, DoD Cyber Scholarship winner, and part of the only NSF SFS institution for aviation and aerospace cyber security.\u003C/p>\u003Cp style=\"text-align:justify;\">Krishna received his Ph.D. in electrical engineering from the University of Washington (2007) and was one of the first in the world to defend a thesis on connected vehicle privacy and aviation cyber security research. He then joined The Boeing Company and was soon selected as the first Boeing Associate Technical Fellow for aviation cyber-physical security in 2012. Most recently he was an Associate Director for cyber security at the United Technologies Corporation (UTC) Research Center (2016-2018), focusing on the security of aerospace systems and commercial products. He has also been an Assistant Director for the Masters in Telecom program at the University of Maryland (2014-2015), developing new courses on software-defined networks and connected vehicles.\u003C/p>\u003Cp style=\"text-align:justify;\">Krishna founded the first aviation cyber security technical committee, sponsored by the SAE in 2008, and has been organizing aviation cyber security tracks at SAE as well as AIAA/IEEE conferences since then. He co-edited the first special issue on cyber-physical systems, published in the first centennial year issue of the Proceedings of the IEEE journal (2012). He has authored over 50 papers—including 3 award-winning publications (at IEEE DASC and I-CNS)—delivered over 16 keynotes and holds over 16 US patents in aviation cyber security. His work has been recognized in the community with awards such as the American Society of Engineers of Indian Origin (ASEI) Engineer of the Year Award (2013), ASEI Corporate Engineering Excellence Award (2013), and a Best Instructor Award at UMD (2015). Most recently, he led a team of Embry-Riddle cybersecurity program students to design the first aviation cybersecurity competition at the DEF CON Aerospace Village, AIAA, Aviation ISAC, and DHS ACI. He is one of the main instructors for the only in-person ICAO professional course on aviation cyber security.\u003Cbr>&nbsp;\u003C/p>","2023-12-19T20:30:44.787Z","2024-08-08T19:23:59.598Z","12",{"id":1543,"name":1459,"alternativeText":15,"caption":15,"width":1544,"height":1545,"formats":1546,"hash":1552,"ext":1085,"mime":690,"size":314,"url":1553,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1554,"updatedAt":1554},123,395,362,{"thumbnail":1547},{"ext":1085,"url":1548,"hash":1549,"mime":690,"name":1466,"path":15,"size":1550,"width":1551,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Picture1_c87bcf4740.jpg","thumbnail_Picture1_c87bcf4740",9.23,170,"Picture1_c87bcf4740","https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Picture1_c87bcf4740.jpg","2024-08-08T19:23:57.235Z",[],"-9","-75",{"id":148,"session":1559},{"id":148,"title":1560,"teaser":1561,"body":1562,"createdAt":1563,"updatedAt":1564,"publishedAt":1565,"url_path_id":1566,"contacts":1567,"url_path":1573},"Introduction to Ethical Hacking and Penetration Testing","\u003Cp style=\"text-align:justify;\">To securely build and defend your systems against attacks, it is essential to adopt the mindset of an adversary. This tutorial will enable you to do so and provide you a foundational understanding of cybersecurity principles and practices in the context of aviation. You will learn about ethical hacking and penetration testing methodologies and explore how they are used to identify and exploit vulnerabilities in computer systems and networks.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">Essential topics such as information gathering and reconnaissance, network scanning and enumeration, and system exploitation, along with some demonstrations are provided. Standards, legal and ethical frameworks and guidelines are also covered.\u003C/p>","2024-06-29T00:30:28.148Z","2024-06-29T00:30:31.940Z","2024-06-29T00:30:31.934Z","100",[1568],{"id":148,"name":1536,"committee":15,"position":15,"affiliation":1537,"email":15,"biography":1538,"createdAt":1539,"updatedAt":1540,"url_path_id":1541,"contactPhoto":1569,"socialLinks":1572,"url_path":1556},{"id":1543,"name":1459,"alternativeText":15,"caption":15,"width":1544,"height":1545,"formats":1570,"hash":1552,"ext":1085,"mime":690,"size":314,"url":1553,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1554,"updatedAt":1554},{"thumbnail":1571},{"ext":1085,"url":1548,"hash":1549,"mime":690,"name":1466,"path":15,"size":1550,"width":1551,"height":361},[],"-76",{"id":130,"groupTitle":1575,"sessions":1576},"Aircraft Certification",[1577,1612],{"id":406,"session":1578},{"id":406,"title":1579,"teaser":1580,"body":1581,"createdAt":1582,"updatedAt":1583,"publishedAt":1584,"url_path_id":1585,"contacts":1586,"url_path":1611},"Applying the new Aviation Safety/Systems Standards:  SAE ARP4754B & ARP4761A [an AFuzion tutorial]","\u003Cp style=\"text-align:justify;\">SAE-ARP4754B provides guidance for the development of aircraft and aircraft systems while taking into account the overall aircraft operating environment and functions. ARP4761A is the corresponding Safety Assessment for aircraft and electronic systems (“avionics”). &nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">ARP4754 was long “suggested” for commercial avionicsl, ARP4754A was mandatory, and the newest version ARP4754B (along with ARP4761A) is now required and increasingly mandatory for all avionics including worldwide militaries and UAV’s beginning 2024. &nbsp;ARP-754B is commonly called “DO-178 for Aircraft &amp; Aviation Systems”, but it’s really much different: &nbsp;ARP4754B requires detailed Safety processes (ARP4761A), a full ecosystem of 7 Planning documents, optional Model-Based Systems Engineering (MBSE) and enhanced Validation, Unintended Behaviors, FDAL/IDAL assignment per FHA and updates via PASA/PSSA, traceability with verification, and tight configuration management. &nbsp;While bearing some semblance to DO-178C, the new ARP4754B and 4761A really covers the Aviation Development Ecosystem and is a mandatory foundation – it must come BEFORE DO-178C/254 and have continuous evidence of usage throughout aircraft and system development. The processes for developing systems requirements are rigorous and formal processes must be proven in place before software and hardware development begin.\u003C/p>\u003Cp style=\"text-align:justify;\">&nbsp;\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#333333;\">\u003Cstrong>KEY FEATURES:\u003C/strong>\u003C/span>\u003C/p>\u003Cul style=\"list-style-type:disc;\">\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">How ARP4754B fits into the Avionics Development Ecosystem including ARP4761A, DO-178C, and DO-254\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">Example Checklists per AP4754B\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">Differences between ARP4754B and ARP4754A, and ARP4761A versus 4761\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">ARP4754B Planning – what is really required including FDAL/IDAL per FHAs\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">Aviation Safety: &nbsp;what is required for ARP4761A\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">Model-Based Systems Engineering – MBSE per ARP4754B and ARP4761\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">System Requirements – What, Where, Why, and How\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">Planning, Development, and Traceability Processes for Aircraft &amp; Systems\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">ARP4754B / ARP4761A Documentation\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">ARP4754B Verification &amp; Validation\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">ARP4754B Best Practices &amp; Common Mistakes\u003C/span>\u003C/li>\u003C/ul>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#333333;\">&nbsp;\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#333333;\">\u003Cstrong>WHO:\u003C/strong>\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#333333;\">Attendees may include systems or safety engineers, managers, software/hardware engineers, quality assurance or certification personnel; no prior expertise required.\u003C/span>\u003C/p>","2024-06-29T00:31:38.298Z","2024-06-29T01:26:15.987Z","2024-06-29T00:31:41.896Z","102",[1587],{"id":84,"name":1588,"committee":15,"position":15,"affiliation":1052,"email":15,"biography":1589,"createdAt":1590,"updatedAt":1591,"url_path_id":1592,"contactPhoto":1593,"socialLinks":1609,"url_path":1610},"Vance Hilderman","\u003Cp style=\"text-align:justify;\">Mr. Vance Hilderman is CTO of AFuzion, the world’s largest dedicated avionics certification services company. &nbsp;Hilderman is a 35-year avionics safety-critical engineering expert, holding a BSEE and MBA from Gonzaga University, and a Masters in Computer Engineering from USC (Hughes Fellow). &nbsp;Mr. Hilderman has focused on safety-critical aviation and avionics software, safety, systems, hardware development and related technical certification solutions for his entire career. &nbsp;Hilderman has trained over 35,000 engineers and certification professionals worldwide in ARP4754A/4761 and DO-178C/DO-254. &nbsp;Of the four books published on aviation certification, Hilderman is the author of two. &nbsp; His company AFuzion is America’s largest aviation certification services company performing aircraft and avionics development and certification services. AFuzion’s solutions are onboard 75% of the world’s aircraft via working with 85% of the world’s top 400 aircraft and avionics systems developers. &nbsp;Of the top 10 eVTOL aircraft developers, six of those have selected AFuzion’s development/certification training, AFuzion Avionics Framework for certification to ARP4754A/DO-178C/DO-254, Mentoring, and/or engineering. &nbsp;Each year AFuzion and Hilderman work in 20+ countries worldwide on 50+ aviation development and certification projects.\u003C/p>","2024-06-29T00:31:16.299Z","2024-08-07T14:07:05.747Z","101",{"id":1594,"name":1595,"alternativeText":15,"caption":15,"width":1596,"height":1597,"formats":1598,"hash":1605,"ext":1085,"mime":690,"size":1606,"url":1607,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1608,"updatedAt":1608},110,"Picture2.jpg",211,294,{"thumbnail":1599},{"ext":1085,"url":1600,"hash":1601,"mime":690,"name":1602,"path":15,"size":1603,"width":1604,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Picture2_dcb1852084.jpg","thumbnail_Picture2_dcb1852084","thumbnail_Picture2.jpg",3.87,112,"Picture2_dcb1852084",10.38,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Picture2_dcb1852084.jpg","2024-08-07T14:07:02.422Z",[],"-77","-78",{"id":426,"session":1613},{"id":426,"title":1614,"teaser":1615,"body":1616,"createdAt":1617,"updatedAt":1618,"publishedAt":1619,"url_path_id":1620,"contacts":1621,"url_path":1627},"Understanding and Optimizing Avionics Requirements per DO-178C, DO-254, and ARP4754A [an AFuzion© tutorial]","\u003Cp style=\"text-align:justify;\">Aircraft, systems, software, and hardware have one common Primary Ingredient: &nbsp;“REQUIREMENTS”! But unlike other industries, aviation has very explicit rules and best-practices for developing and managing those “requirements”. &nbsp;But can you answer these questions below?\u003C/p>","\u003Cul>\u003Cli style=\"text-align:justify;\">What are good versus great systems/software/hardware requirements?\u003C/li>\u003Cli style=\"text-align:justify;\">What is the role of ARP4754B and ARP4761A in creating good aircraft, systems, and safety requirements?\u003C/li>\u003Cli style=\"text-align:justify;\">What are necessary requirements “Standards” for DO-XXX and ARP47XX and what are actual samples of such requirements standards?\u003C/li>\u003Cli style=\"text-align:justify;\">What is a “derived” versus “safety” versus “functional” versus “decomposed” requirement?\u003C/li>\u003Cli style=\"text-align:justify;\">How should requirements be decomposed and what is requirements-based Transitions and Traceability?\u003C/li>\u003Cli style=\"text-align:justify;\">How does Model Based Development (MBD) change requirements definition, capture, and management?\u003C/li>\u003Cli style=\"text-align:justify;\">How should requirements be validated?&nbsp; Verified?\u003C/li>\u003Cli style=\"text-align:justify;\">What are best practices for FAA, EASA, and Military certification authorities for requirements certification?\u003C/li>\u003Cli style=\"text-align:justify;\">What are the common mistakes of requirements development and how to avoid them?\u003C/li>\u003C/ul>\u003Cp style=\"margin-left:.25in;text-align:justify;\">&nbsp;\u003C/p>\u003Cp style=\"margin-left:.25in;text-align:justify;\">If you know the answers to the above, this course will be interesting. If you know most of the answers, this course will be useful. If you aren’t sure of most of the answer, this course should be like aviation requirements:&nbsp; “Mandatory”.\u003C/p>\u003Cp style=\"margin-left:.25in;text-align:justify;\">&nbsp;\u003C/p>\u003Cp style=\"margin-left:.25in;text-align:justify;\">\u003Cstrong>KEY FEATURES:\u003C/strong>\u003C/p>\u003Cul style=\"list-style-type:disc;\">\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">Answers will provided to fully understand aircraft, systems, software, and hardware requirements per ARP47XX and DO-XXX.\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">Answers will provided to all of the above Questions in the course description.\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:#737E86;\">Example Systems Requirements Checklists walkthrough per AP4754B\u003C/span>\u003C/li>\u003C/ul>\u003Cp style=\"text-align:justify;\">&nbsp;\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#333333;\">\u003Cstrong>WHO:\u003C/strong>\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#333333;\">Attendees may include systems or safety engineers, managers, software/hardware engineers, quality assurance or certification personnel; no prior expertise required.\u003C/span>\u003C/p>","2024-06-29T00:32:07.985Z","2024-06-29T01:27:47.522Z","2024-06-29T00:32:11.654Z","103",[1622],{"id":84,"name":1588,"committee":15,"position":15,"affiliation":1052,"email":15,"biography":1589,"createdAt":1590,"updatedAt":1591,"url_path_id":1592,"contactPhoto":1623,"socialLinks":1626,"url_path":1610},{"id":1594,"name":1595,"alternativeText":15,"caption":15,"width":1596,"height":1597,"formats":1624,"hash":1605,"ext":1085,"mime":690,"size":1606,"url":1607,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1608,"updatedAt":1608},{"thumbnail":1625},{"ext":1085,"url":1600,"hash":1601,"mime":690,"name":1602,"path":15,"size":1603,"width":1604,"height":361},[],"-79",{"id":197,"groupTitle":1629,"sessions":1630},"FREE Tutorial",[1631],{"id":469,"session":1632},{"id":469,"title":1633,"teaser":1634,"body":1635,"createdAt":1636,"updatedAt":1637,"publishedAt":1638,"url_path_id":1639,"contacts":1640,"url_path":1688},"FREE Tutorial: Demystifying Machine Learning, Deep Learning and Generative AI","\u003Cp style=\"text-align:justify;\">This tutorial is designed to provide a hands-on, deep dive into Machine Learning and Deep Learning models by applying such models in a real-world use cases.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">Operators and analysts are being overwhelmed with the amount of data available in aerospace environments. The magnitude of the data becomes potentially too great to analyze by conventional means. Machine Learning has been proposed as a solution to “big data” problems which will enable analysts to evaluate and determine courses of action based on the information derived from the data. A lot of misinformation surrounds Machine Learning and its potential to enhance operational efficiencies and address current challenges.\u003C/p>\u003Cp style=\"text-align:justify;\">This tutorial will delve into Machine Learning and Neural Network models and show how such models can solve potential problems of interest to participants. It presents an overview of current technologies but especially the crucial details on Machine Learning algorithms for aspiring or current users so that they can successfully utilize these techniques in their exploitation of existing data. A key aspect of this course is the discussion of how and when Machine Learning is applicable. An overview of emerging technologies in Machine Learning and Artificial Intelligence will be presented. Although many of the examples presented in this course deal with the exploitation of operational data, the techniques can be applied to other data types and domains as well.\u003C/p>\u003Cp style=\"text-align:justify;\">Timeliness and intended audience.\u003Cbr>Machine learning is gaining traction within the aerospace domain. It is likely that the importance of machine learning will only continue to expand as computers become more efficient and new methods are developed. Whether the audience wants to apply machine learning within their own applications or gain a better understanding of methods being used by their colleagues, this course will help prepare the audience for an era where machine learning has an ever-growing impact on our field.\u003Cbr>&nbsp;\u003C/p>","2024-06-29T00:35:20.319Z","2024-08-07T14:19:22.361Z","2024-06-29T00:35:24.094Z","106",[1641,1656,1673],{"id":276,"name":1642,"committee":15,"position":15,"affiliation":1643,"email":15,"biography":1644,"createdAt":1645,"updatedAt":1646,"url_path_id":1647,"contactPhoto":1648,"socialLinks":1654,"url_path":1655},"Rohit Mital","KBR","\u003Cp style=\"text-align:justify;\">Mr. Rohit Mital is Chief Technologist at KBR. He has over 25 years of experience in developing and delivering high-performance, scalable, complex software systems and solutions in multiple industries, including transportation, insurance, capital markets, telecommunications, and defense. He leads several initiatives in partnership with KBR customers in leveraging digital technologies including Cloud, AI/Machine Learning, Edge Computing and Distributed Ledger. Prior to joining KBR, Rohit spent two decades managing innovation and technology development for early-stage technology companies. He was featured as one of the creative people in small cities across the U.S. by Fast Company in 2004. Rohit has master’s degrees in\u003Cbr>Electrical Engineering and Mathematics. He has published and presented at conferences on big data, machine learning and distributed ledger in transportation and space domains.\u003Cbr>&nbsp;\u003C/p>","2024-06-29T00:33:28.106Z","2024-08-19T17:39:26.202Z","104",{"id":1023,"name":1649,"alternativeText":15,"caption":15,"width":361,"height":361,"formats":15,"hash":1650,"ext":1085,"mime":690,"size":1651,"url":1652,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1653,"updatedAt":1653},"thumbnail_Picture3_0cd41055d9.jpg","thumbnail_Picture3_0cd41055d9_61553ff062",4.11,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Picture3_0cd41055d9_61553ff062.jpg","2024-08-19T17:39:23.107Z",[],"-80",{"id":244,"name":1657,"committee":15,"position":15,"affiliation":1658,"email":15,"biography":1659,"createdAt":1660,"updatedAt":1661,"url_path_id":1662,"contactPhoto":1663,"socialLinks":1671,"url_path":1672},"Ramakrishna (Ram) Raju","Volpe National Transportation Systems Center","\u003Cp style=\"text-align:justify;\">Mr. Ramakrishna (Ram) Raju is a subject matter expert supporting FAA and DOT projects at the Volpe National Transportation Systems Center in Cambridge, MA for over 15 years. He has over 25 years of experience in the field of designing and developing IT solutions to meet customer needs. He has successfully led the development and deployment of several mission-critical FAA systems. Ram is also the lead of KBRs AI/ML Academy, a company wide initiative to train KBR staff skills in the AI and ML domain.\u003C/p>","2024-06-29T00:34:14.717Z","2024-08-19T17:41:11.944Z","105",{"id":344,"name":1664,"alternativeText":15,"caption":15,"width":1665,"height":1666,"formats":15,"hash":1667,"ext":18,"mime":19,"size":1668,"url":1669,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1670,"updatedAt":1670},"Picture4_7c1ceeb671.png",108,103,"Picture4_7c1ceeb671_63cb26f5c2",8.7,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Picture4_7c1ceeb671_63cb26f5c2.png","2024-08-19T17:41:09.333Z",[],"-81",{"id":866,"name":1674,"committee":15,"position":15,"affiliation":1658,"email":15,"biography":1675,"createdAt":1676,"updatedAt":1676,"url_path_id":1677,"contactPhoto":1678,"socialLinks":1686,"url_path":1687},"Brian O'Donnell","\u003Cp style=\"text-align:justify;\">Brian O’Donnell is a senior project manager and AI subject matter expert at the Volpe National Transportation Systems Center, an agency of the U.S. Department of Transportation. Before joining Volpe, Brian worked on machine learning, computer vision, and signal processing technologies in industry and the private sector. He served as the Vice President of Technology for G4S, the world’s largest security company, and was their subject matter expert for biometrics and intelligent surveillance. Brian invented AI-based stock trading algorithms for a start-up company working as a 'Wall Street Quant.' Brian has a B.S. in Applied Physics and an M.S. in Electrical Engineering and is a doctoral student in computer science with a specialization in AI. In addition, Brian is a senior member of the I.E.E.E. and holds several U.S. patents for machine learning and image processing applications in the defense and surveillance industries. Brian is a retired Navy officer and spent the last part of his career as an Engineering Duty Officer in the Reserves working on Los Angeles Class nuclear submarines.\u003C/p>","2024-08-07T14:18:54.899Z","140",{"id":1679,"name":1680,"alternativeText":15,"caption":15,"width":1681,"height":1681,"formats":15,"hash":1682,"ext":18,"mime":19,"size":1683,"url":1684,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1685,"updatedAt":1685},113,"Picture5.png",131,"Picture5_a61e32781d",14.25,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Picture5_a61e32781d.png","2024-08-07T14:18:36.061Z",[],"-116","-82",{"id":27,"__component":1361,"componentVariation":1362,"contactsVariation":1363,"styles":15,"header":1690,"sessionsGroup":1692},{"id":338,"heading":1691,"prose":45,"lead":15,"eyebrow":15,"badge":15,"componentVariation":1323,"containerWidth":15,"image":15},"Monday, September 30",[1693,1816,1907,2030],{"id":148,"groupTitle":1694,"sessions":1695},"Autonomy and ATM",[1696,1731,1765],{"id":508,"session":1697},{"id":508,"title":1698,"teaser":1699,"body":1700,"createdAt":1701,"updatedAt":1702,"publishedAt":1703,"url_path_id":1704,"contacts":1705,"url_path":1730},"Impact of Aviation Induced Contrails and Emissions on Climate: Challenges in the Detection, Prediction and Avoidance of Contrail and the Use of ML Techniques to Reduce Uncertainties","\u003Cp style=\"text-align:justify;\">The main goal of Air Traffic Management (ATM) is to enable safe operation of air traffic while accommodating the demand and doing it efficiently with minimum disruption to schedules. The impact of aircraft emissions and contrails on the environment adds an additional dimension to the planning of aircraft operations.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">This tutorial describes fundamentals of aircraft emissions, contrails and how they can be modeled in a simulation capability to analyze the relationship between air traffic operations and their impact on the environment. The simulation integrates an airspace simulation with models of aircraft emissions and contrails, a common metric to combine the effects of different types of emissions, and algorithms to generate alternate aircraft trajectories for aircraft traveling between city-pairs. The integrated simulation is used to evaluate the energy efficiency of contrail reduction strategies. The aircraft trajectories are varied from their baseline plans to reduce contrails in three different ways: (a) changes to altitude, (b) optimal changes to planned route, and (c) three-dimensional change of trajectory. The method is applied to three different scenarios: changing the trajectory of a single aircraft, simulated traffic between 12 city-pairs and to all aircraft flying in the US airspace. Initial results show that contrail reduction strategies involving altitude changes applied to medium and long-range flights on days with high-contrail activity are promising and provide the maximum environmental benefit for a small reduction in energy efficiency. The tutorial discusses the effect of uncertainties in the planning of aircraft routing and the role of machine intelligence to provide further understanding and operational solutions to the problem.\u003C/p>\u003Cp style=\"text-align:justify;\">Timeliness and intended audience: The impact of aviation on climate and the effect of changes in climate on aviation is of concern to all nations. Several national and international organizations (NASA, ICAO, Eurocontrol and others) have established goals to reduce the impact both ways. This tutorial is timely as it serves to educate undergraduate and graduate students, workforce and leaders in the government, industry and academia on the promise and challenge in addressing this area.&nbsp;\u003C/p>","2024-06-29T00:37:11.361Z","2024-06-29T00:37:15.329Z","2024-06-29T00:37:15.324Z","108",[1706],{"id":92,"name":1707,"committee":15,"position":15,"affiliation":1708,"email":15,"biography":1709,"createdAt":1710,"updatedAt":1711,"url_path_id":1712,"contactPhoto":1713,"socialLinks":1728,"url_path":1729},"Banavar Sridhar","University of California, Berkeley","\u003Cp style=\"text-align:justify;\">The course will be conducted by Dr. Banavar Sridhar, Visiting Professor and Senior Fellow, Institute of Transportation Studies, University of California, Berkeley, CA. At Berkeley, Banavar created and taught the first of its kind graduate and undergraduate course in Data Sciences and Aviation combining machine learning, use of big data and concepts in aviation operations to advance simulation, modeling and optimization of U.S National Airspace System to accommodate current and emerging new class of aircraft with electric, hydrogen and alternative fuels. Earlier he served as the NASA Senior Scientist for Air Transportation Systems. His research interests are in the application of modeling and optimization techniques to aerospace systems. He has authored more than 200 publications in the areas of Air Transportation, Optimization, Data Analytics, Neural Networks, Automated Helicopter Guidance and Control Systems. Dr. Sridhar received the 2004 IEEE Control System Technology Award for his contributions to the development of modeling and simulation techniques for multi-vehicle traffic networks. He led the development of traffic flow management software, Future ATM Concepts Evaluation Tool (FACET), which received the AIAA Engineering Software Award in 2009, the NASA Invention of the Year Award in 2010 and the FAA Award for the Excellence in Aviation Research in 2010. He is a Fellow of the IEEE and the AIAA.\u003C/p>","2024-06-29T00:36:20.210Z","2024-08-07T14:19:54.177Z","107",{"id":1714,"name":1715,"alternativeText":15,"caption":15,"width":1716,"height":1717,"formats":1718,"hash":1724,"ext":1085,"mime":690,"size":1725,"url":1726,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1727,"updatedAt":1727},114,"Picture6.jpg",282,354,{"thumbnail":1719},{"ext":1085,"url":1720,"hash":1721,"mime":690,"name":1722,"path":15,"size":936,"width":1723,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Picture6_622689d991.jpg","thumbnail_Picture6_622689d991","thumbnail_Picture6.jpg",124,"Picture6_622689d991",11.38,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Picture6_622689d991.jpg","2024-08-07T14:19:50.942Z",[],"-83","-84",{"id":220,"session":1732},{"id":220,"title":1733,"teaser":1734,"body":1735,"createdAt":1736,"updatedAt":1737,"publishedAt":1738,"url_path_id":1739,"contacts":1740,"url_path":1764},"Machine Learning Techniques for Aircraft Trajectory Analysis","\u003Cp style=\"text-align:justify;\">This tutorial aims to provide participants with a comprehensive understanding of aircraft trajectory analysis using deterministic rule-based methods and machine learning techniques. Over the course of three hours, participants will learn how to access trajectory data, implement analysis techniques in Python, and design machine learning algorithms for more advanced studies. By the end of the tutorial, participants will acquire the necessary knowledge to analyse and interpret aircraft trajectories in diverse real-world scenarios.\u003C/p>","\u003Cp style=\"text-align:justify;\">\u003Cspan lang=\"EN-GB\" dir=\"ltr\">\u003Cstrong>Introduction.&nbsp;\u003C/strong>An overview of use cases for aircraft trajectory analysis, including commercial aviation, general aviation, and other low-altitude activities. The introduction will cover a wide array of possible applications, including situational awareness, airspace management, safety assessment, optimization, and collaborative decision-making.\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan lang=\"EN-GB\" dir=\"ltr\">\u003Cstrong>Accessing trajectory data and meta-information.&nbsp;\u003C/strong>A practical guide on accessing open-access trajectory data. Participants will gain an understanding of various data formats and standards commonly used in the aviation industry, including ADS-B, Mode S, ADS-C for trajectories, and other open sources of data for complementing context information. We will demonstrate how to effectively access and parse trajectory data using Python.\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan lang=\"EN-GB\" dir=\"ltr\">\u003Cstrong>Deterministic approaches to trajectory analysis.&nbsp;\u003C/strong>We will explain data cleaning, trajectory filtering and smoothing, essential steps for preparing trajectory data for analysis. Then, we will explore methods for integrating trajectory data with external sources such as weather data and flight plans, enhancing the contextual understanding of aircraft movements.\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan lang=\"EN-GB\" dir=\"ltr\">\u003Cstrong>Machine Learning approaches.\u003C/strong> Unsupervised machine learning techniques for trajectory clustering, classification, and anomaly detection. We will learn how to uncover patterns and insights within trajectory data. Additionally, we will address the benefits of machine learning approaches over rule-based methods in different contexts. Graph Neural Networks and generative models will also be covered.\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan lang=\"EN-GB\" dir=\"ltr\">\u003Cstrong>Designing a Toolchain for Trajectory Analysis.\u003C/strong> Best practices for conducting transparent and reproducible research, emphasizing the importance of open data, transparent methodologies, and reproducible analyses.\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan lang=\"EN-GB\" dir=\"ltr\">\u003Cstrong>Conclusion.&nbsp;\u003C/strong>Suggestions for further exploration and research in aircraft trajectory analysis, emerging trends, potential areas for innovation, and future research.\u003C/span>\u003C/p>","2024-06-29T00:39:11.371Z","2024-06-29T00:39:15.118Z","2024-06-29T00:39:15.114Z","110",[1741],{"id":155,"name":1742,"committee":15,"position":15,"affiliation":1743,"email":15,"biography":1744,"createdAt":1745,"updatedAt":1746,"url_path_id":1747,"contactPhoto":1748,"socialLinks":1762,"url_path":1763},"Xavier Olive","ONERA","\u003Cp style=\"text-align:justify;\">Dr Xavier Olive is a Research Scientist at ONERA, The French Aerospace Lab. His main interests include Data Science, Machine Learning and Decision Science applied to aviation, with a particular focus on optimization, anomaly and pattern detection. Applications range from air traffic management, operations, predictive maintenance, safety analyses and risk assessment. He is also passionate about aircraft, data visualization, geographic information systems and programming languages and maintains the traffic library which interfaces with the OpenSky Network.\u003C/p>","2024-06-29T00:38:03.129Z","2024-08-07T14:20:29.819Z","109",{"id":1749,"name":1750,"alternativeText":15,"caption":15,"width":1751,"height":1751,"formats":1752,"hash":1758,"ext":1085,"mime":690,"size":1759,"url":1760,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1761,"updatedAt":1761},115,"Picture7.jpg",267,{"thumbnail":1753},{"ext":1085,"url":1754,"hash":1755,"mime":690,"name":1756,"path":15,"size":1757,"width":361,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Picture7_546da36204.jpg","thumbnail_Picture7_546da36204","thumbnail_Picture7.jpg",5.89,"Picture7_546da36204",13.28,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Picture7_546da36204.jpg","2024-08-07T14:20:25.988Z",[],"-85","-86",{"id":527,"session":1766},{"id":527,"title":1767,"teaser":1768,"body":1769,"createdAt":1770,"updatedAt":1771,"publishedAt":1772,"url_path_id":1773,"contacts":1774,"url_path":1815},"Application of AI/ML tools for Air Traffic Management – a NASA perspective","\u003Cp style=\"text-align:justify;\">The tutorial introduces several Air Traffic Management (ATM) initiatives envisioned by the Federal Aviation Administration (FAA) for a bold future airspace that combines conventional traffic and new entrants (e.g., drones) without sacrificing safety. In this framework, we demonstrate the use of state-of-the-art AI/ML modeling and prediction tools that will enable efficient and safe traffic flow in the U.S. National Airspace System (NAS).&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">In particular, Natural Language Processing (NLP) tools can help extract data (e.g., airspace constraints) that are currently contained in legacy text and audio format and convert them into digital information. The digitized information can be ingested by route planning, arrival scheduling and other decision support tools both on the ground and in the flight deck. We also show how historical data (track, weather &amp; events) can be preprocessed, cleaned and utilized to create accurate models to predict flight trajectories and events of interest (e.g., Traffic Management Initiatives). We show several application areas within ATM that benefit from AI/ML including trajectory prediction, airport runway configuration management, automatic speech to text (of FAA command center webinars) and digitization of Letters of Agreement. The overarching goal of the work is to accelerate the integration of package delivery drones, air taxis and autonomous cargo aircraft into the NAS without impacting the safety and efficacy of current manned operations. With the correct application of modern AI/ML tools and availability of abundant data (both structured and unstructured), it is possible to build accurate models to do both prediction (e.g., estimated time of arrival) and provide recommendations (e.g., which runway configuration should be used). This tutorial is tailored to educate students, researchers and practitioners on what NASA is doing in this problem space and how AI/ML can help in solving some challenging problems in ATM. We will showcase several AI/ML methods used e.g., random forest, XGBoost, model free RL and NER by showing code snippets, input data samples and example output/results that validate our research.\u003C/p>","2024-06-29T00:41:36.216Z","2024-06-29T00:41:40.387Z","2024-06-29T00:41:40.382Z","113",[1775,1799],{"id":338,"name":1776,"committee":15,"position":15,"affiliation":1777,"email":15,"biography":1778,"createdAt":1779,"updatedAt":1780,"url_path_id":1781,"contactPhoto":1782,"socialLinks":1797,"url_path":1798},"Krishna M. Kalyanam","NASA Ames Research Center","\u003Cp style=\"text-align:justify;\">Krishna M. Kalyanam is a Sr. Aerospace Research Engineer with NASA Ames Research Center. He is the AI/ML tech lead for AAM and NextGen ATM initiatives within NASA Aviation Systems Division and NASA Aeronautics Research Institute (NARI). He received the B.Tech. degree from the Indian Institute of Technology, Madras, in 2000, and the M.S. and Ph.D. degrees from the University of California at Los Angeles, in 2003 and 2005, respectively, all in mechanical engineering. Prior to joining NASA, he did various research stints with GE Global Research, U.S. Air Force Research Lab (AFRL) and Xerox Palo Alto Research Center (PARC). Over the years, his work has spanned precision machining (PhD), Train optimal control and Wind Farm layout optimization (for GE) and multi-UAV scheduling and optimization for AFRL. He has co-authored 20+ journal articles and 40+ peer-reviewed conference publications in diverse areas including optimal control, operations research and autonomous systems. He is a co-inventor of GE’s Trip Optimizer and WindLAYOUT optimization services, both of which have generated multi-billion dollar revenues for GE. He has co-designed several multi-UAV scheduling algorithms that have been successfully flight tested as part of AFRL’s Intelligent Control &amp; Evaluation of Teams (ICE-T) program. He is an associate fellow of AIAA and senior member of IEEE.\u003C/p>","2024-06-29T00:39:56.960Z","2024-08-07T14:21:05.770Z","111",{"id":1783,"name":1784,"alternativeText":15,"caption":15,"width":1785,"height":1786,"formats":1787,"hash":1793,"ext":1085,"mime":690,"size":1794,"url":1795,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1796,"updatedAt":1796},116,"Picture8.jpg",306,372,{"thumbnail":1788},{"ext":1085,"url":1789,"hash":1790,"mime":690,"name":1791,"path":15,"size":1792,"width":937,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Picture8_8ed19f9db2.jpg","thumbnail_Picture8_8ed19f9db2","thumbnail_Picture8.jpg",5.04,"Picture8_8ed19f9db2",21.62,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Picture8_8ed19f9db2.jpg","2024-08-07T14:21:02.421Z",[],"-87",{"id":320,"name":1800,"committee":15,"position":15,"affiliation":1777,"email":15,"biography":1801,"createdAt":1802,"updatedAt":1803,"url_path_id":1804,"contactPhoto":1805,"socialLinks":1813,"url_path":1814},"Stephen Clarke ","\u003Cp style=\"text-align:justify;\">Stephen Clarke is a Aerospace Research Engineer affiliated with the NASA Aeronautics Research Institute (NARI) at NASA Ames Research Center. In this position, he is interested in &nbsp;applying cutting edge AI/ML techniques to complex decision problems in Air Traffic Management (ATM) with a focus on natural language processing. Some specific areas of interest include text data mining, transfer learning and speech to text. He holds a BS in Computer Science and Mathematics from Sacred Heart University and an MS in Computer Engineering from Fairleigh Dickenson University.\u003C/p>","2024-06-29T00:40:37.831Z","2024-08-07T14:21:31.837Z","112",{"id":1806,"name":1807,"alternativeText":15,"caption":15,"width":1808,"height":631,"formats":15,"hash":1809,"ext":18,"mime":19,"size":1810,"url":1811,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1812,"updatedAt":1812},117,"Picture9.png",118,"Picture9_d806bb4fd3",12.13,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Picture9_d806bb4fd3.png","2024-08-07T14:21:28.552Z",[],"-88","-89",{"id":406,"groupTitle":1817,"sessions":1818},"Aviation Technology",[1819,1845,1858],{"id":135,"session":1820},{"id":135,"title":1821,"teaser":1822,"body":1823,"createdAt":1824,"updatedAt":1825,"publishedAt":1826,"url_path_id":1827,"contacts":1828,"url_path":1844},"Introduction to CUDA Programming and GPU Hardware Architecture","\u003Cp style=\"text-align:justify;\">GPUs are currently considered from all safety critical industries, including avionics and aerospace to accelerate general purpose computations and meet performance requirements of new advanced functionalities, which are not possible with the legacy, single-core processors used in these domains, such as in the recent Airbus project Automatic Taxi, Take- off and Landing (ATTOL) project.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">This tutorial aims to provide a basic understanding of GPU programming and the GPU architecture. Both aspects are required for the acceleration of high performance algorithms for new generation avionics and aerospace systems, and more importantly for their certification. The tutorial will focus on GPU programming using the CUDA programming language and will explain the Hardware Architecture of both NVIDIA GPUs as well as AMD GPUs, which are currently used in avionics systems mainly for graphics, but also considered for general purpose computing in the near future.&nbsp;\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">This tutorial provides an introduction of all the basic concepts required of the attendees of the “Introduction to Certifiable General Purpose GPU Programming for Avionics Systems” Tutorial of the same instructors.&nbsp;\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">Objectives include: learn the basics of GPU programming using the CUDA programming language; understand the basics of the NVIDIA and AMD GPU hardware; learn how to compile, execute and profile a GPU program.&nbsp;\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">\u003Cstrong>What is expected from the tutorial attendees:\u003C/strong>\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">Almost no prior knowledge is required from the tutorial attendees. They only need to be familiar with the C programming language. In order to participate in the hands on session, the tutorial attendees will need to bring their laptops, with WiFi connection and need to have installed an SSH client.\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">\u003Cstrong>What resources are given to the attendees:\u003C/strong>\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">The attendees will be provided with the slides of the tutorial, as well as the descriptions of the exercises and their source code. The exercises will be self-paced and self-guided, so that the attendees will be able to complete them also on their own after the tutorial. Remote access to NVIDIA and AMD GPUs will be provided by presenters with all relevant software and development tools.\u003C/span>\u003C/p>","2024-06-29T00:44:23.759Z","2024-06-29T00:44:28.087Z","2024-06-29T00:44:28.082Z","115",[1829],{"id":233,"name":1830,"committee":15,"position":15,"affiliation":1831,"email":15,"biography":1832,"createdAt":1833,"updatedAt":1834,"url_path_id":1835,"contactPhoto":1836,"socialLinks":1842,"url_path":1843},"Leonidas Kosmidis ","Universitat Politècnica de Catalunya ","\u003Cp style=\"text-align:justify;\">Dr. Leonidas Kosmidis is a Senior Researcher at the Barcelona Supercomputing Center (BSC) and Faculty Member at the Universitat Politècnica de Catalunya (UPC). He holds a PhD and MSc in Computer Architecture from Universitat Politècnica de Catalunya, Spain, and a BSc in Computer Science from University of Crete, Greece. He is leading the research on embedded GPUs and accelerators for safety critical systems, both at hardware and system software level within the CAOS (Computer Architecture/Operating Systems) group at BSC.\u003C/p>\u003Cp style=\"text-align:justify;\">Dr. Kosmidis is the recipient of the RISC-V Educator of the Year Award in 2019 from the RISC- V Foundation and an Honourable Mention for the EuroSyS Roger Needham PhD Award in 2018, which is awarded to the best PhD thesis in Europe in the area of Systems. He is the Principal Investigator of several projects funded by the European Space Agency (ESA) such as the GPU4S (GPU for Space) and the Horizon Europe METASAT project funded by the European Commission, as well as projects funded by industry such as the Airbus Defence and Space, which focus on the adoption of GPUs in space and avionics systems, including their certification.\u003C/p>\u003Cp style=\"text-align:justify;\">He is also participating in several standardisation efforts regarding GPU programming in safety critical systems within Khronos, in Vulkan SC and SYCL SC, as well as an external expert for the revision of the ECSS standards ECSS-E-ST-20-40 and ECSS-Q-ST-60-02C on ASIC, FPGA and IP Core developments. Currently, he serves as Outreach Officer of the Khronos SYCL SC WG. Website: https://personals.ac.upc.edu/lkosmidi.\u003Cbr>&nbsp;\u003C/p>","2024-06-29T00:43:21.439Z","2024-08-07T14:23:12.694Z","114",{"id":1808,"name":1837,"alternativeText":15,"caption":15,"width":1543,"height":1543,"formats":15,"hash":1838,"ext":1085,"mime":690,"size":1839,"url":1840,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1841,"updatedAt":1841},"Picture10.jpg","Picture10_bb9a270ce7",3.53,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Picture10_bb9a270ce7.jpg","2024-08-07T14:23:09.176Z",[],"-90","-91",{"id":1051,"session":1846},{"id":1051,"title":1847,"teaser":1822,"body":1848,"createdAt":1849,"updatedAt":1850,"publishedAt":1851,"url_path_id":1852,"contacts":1853,"url_path":1857},"Introduction to Certifiable General Purpose GPU Programming for Avionics Systems","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">However, most of the R&amp;D is currently focused on proof of concepts, which demonstrate the capabilities of employing GPUs in avionics, ignoring the certification challenges introduced by GPUs. This tutorial is the outcome of years or research at Barcelona Supercomputing Center (BSC) and technology transfer within safety critical industries, which culminated in the recent approval of these methods (July 2022) from the competent airworthiness authority in Spain and soon by EASA, for the first time in Europe. The attendees will learn how general purpose GPU code can be developed and certified according to safety critical standards used in these industries by using graphics-based technologies (OpenGL SC 1.0.1 and 2.0) which have are already used in certified safety critical products of the highest criticality (DAL-A avionics according to DO-178C and ASIL D according to ISO 26262). This will include the latest GPU programming API for safety critical systems ratified by Khronos, Vulkan SC, in March 2022, which one of the organisers (Dr. Leonidas Kosmidis) has been one of the earliest adopters and helped to be defined by participating in its Khronos Vulkan Safety Critical Advisory Panel. Special attention will be paid on Brook Auto/BRASIL, an open source technology developed at BSC (https://github.com/lkosmid/brook), which abstracts away the complexities of programming in these graphics based solutions in a CUDA like language, while retaining their certification benefits, and have been demonstrated with industrial use cases. Finally, the tutorial will include a hands-on session with exercises, during which the attendees will have the opportunity to experiment with the certifiable solution(s) of their interest. BSC will provide remote access to relevant GPUs with preinstalled certifiable GPU languages/APIs.&nbsp;\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">Objectives include: Learn which certifiable language options/APIs are available for programming GPUs; Practice programming a certifiable GPU language/API; Get familiar with open points in the DO-178 C certification of General purpose GPU.&nbsp;\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">\u003Cstrong>What is expected from the tutorial attendees:\u003C/strong>\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">The tutorial attendees must be familiar with general purpose GPU programming in one of the following GPU languages: CUDA, OpenCL, OpenGL (ES/SC), Vulkan, SYCL. Moreover, understanding of safety critical systems and familiarity with at least one safety standard (ISO 26262, DO-178C, ECSS) and safety critical code development guidelines (i.e. MISRA C/C++) is desirable but not required. An additional tutorial offering the necessary background will be offered by the tutorial instructors, to ensure that all attendees know the basics of CUDA programming. In order to participate in the hands-on session, the tutorial attendees will need to bring their laptops, with wifi connection and need to have installed an ssh client.\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:#222222;\">\u003Cstrong>What resources are given to the attendees:\u003C/strong>\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">The attendees will be provided with the slides of the tutorial and instructions to setup Brook Auto in their laptops or target safety critical systems. Moreover, they will be provided with the descriptions of the exercises and their source code. Remote access to GPU systems with the safety critical programming languages/APIs preinstalled will be provided by presenters.&nbsp;\u003C/p>","2024-06-29T00:45:42.151Z","2024-06-29T00:45:46.084Z","2024-06-29T00:45:46.077Z","116",[1854],{"id":233,"name":1830,"committee":15,"position":15,"affiliation":1831,"email":15,"biography":1832,"createdAt":1833,"updatedAt":1834,"url_path_id":1835,"contactPhoto":1855,"socialLinks":1856,"url_path":1843},{"id":1808,"name":1837,"alternativeText":15,"caption":15,"width":1543,"height":1543,"formats":15,"hash":1838,"ext":1085,"mime":690,"size":1839,"url":1840,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1841,"updatedAt":1841},[],"-92",{"id":98,"session":1859},{"id":98,"title":1860,"teaser":1861,"body":1862,"createdAt":1863,"updatedAt":1864,"publishedAt":1865,"url_path_id":1866,"contacts":1867,"url_path":1906},"A Guide to Argument-Based Assurance and Certification","\u003Cp style=\"text-align:justify;\">Due to rapid technological advancement, certification authorities frequently find themselves challenged to keep up with emerging innovations, with AI technologies standing out as a prime example of this struggle. The process of developing certification standards, rooted in the consensus of domain experts, is often slow and arduous, requiring years to finalize. Compounding this issue is the relentless pace of technological development, which can render the final standard outdated by the time it is implemented.\u003Cbr>&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">The Overarching Properties (OPs)1 provide a structured framework for evaluating means of compliance for incoming technologies, centering around arguing a system possesses three essential properties: Intent, Correctness, and Innocuity. By leveraging OPs, applicants and regulatory bodies can articulate compliance methodologies through reasoned argumentation, offering a dynamic and adaptable approach tailored to the specifics of each technological application.\u003C/p>\u003Cp style=\"text-align:justify;\">While literature exists regarding the utilization of OPs, a solid introduction to concepts, together with hands-on practice, will help novice practitioners gain and improve skill in constructing OP-related arguments (OPRAs). This tutorial introduces argumentation and the OPs, providing attendees with insights and practical strategies for learning the art of argumentation within the context of certification.\u003C/p>\u003Cp style=\"text-align:justify;\">Throughout the tutorial, participants will actively engage in the creation of an OPRA for a system reliant on technologies where traditional certification standards prove inadequate. By immersing themselves in this practical exercise, attendees will gain invaluable experience in applying argumentation techniques to real-world certification challenges, ultimately empowering them to navigate the evolving certification\u003Cbr>landscape with more confidence and proficiency.\u003Cbr>&nbsp;\u003C/p>","2024-06-29T00:51:48.999Z","2024-06-29T00:51:52.801Z","2024-06-29T00:51:52.796Z","120",[1868,1876,1898],{"id":270,"name":1869,"committee":15,"position":15,"affiliation":1870,"email":15,"biography":1871,"createdAt":1872,"updatedAt":1872,"url_path_id":1873,"contactPhoto":15,"socialLinks":1874,"url_path":1875},"Zamira Daw ","University of Stuttgart","\u003Cp style=\"text-align:justify;\">Prof. Zamira Daw of Aircraft Systems at the University of Stuttgart. She earned her PhD at Kassel University in Germany and honed her expertise in model-driven development for safety-critical embedded systems using formal methods during her subsequent postdoctoral research at the University of Maryland in the USA. With 7 years of industry experience in aerospace sector at Raytheon Technologies Research Center, Dr. Daw had contributed to DARPA, ONR and NASA funded project to areas, spanning formal verification, certification, knowledge reasoning, and autonomous systems. In her current academic role, she aims to develop innovative certification methods that streamline the seamless integration of AI into aerospace systems. She was part of Overarching Properties Working Group (OPWG) and now is also part of the working group EUROCAE WG-114 to create standards for the certification of aeronautical systems implementing AI-technologies.\u003Cbr>&nbsp;\u003C/p>","2024-06-29T00:47:10.507Z","117",[],"-93",{"id":240,"name":1877,"committee":15,"position":15,"affiliation":1878,"email":15,"biography":1879,"createdAt":1880,"updatedAt":1881,"url_path_id":1882,"contactPhoto":1883,"socialLinks":1896,"url_path":1897},"Kim Wasson","Joby Aviation","\u003Cp style=\"text-align:justify;\">Dr. Kim Wasson is a Staff Development Assurance Engineer and the Autonomy Certification Lead at Joby Aviation, where she is establishing assurance strategies and certification pathways for systems that integrate autonomous and other emerging capabilities. She has over 20 years of experience investigating, developing, and executing policy and practice for the safety assurance and certification of complex engineered systems. She now focuses on emerging means and methods to assure emerging capabilities, and on translating these to technical and regulatory practice.\u003Cbr>Prior to joining Joby in 2020, she founded and led Federated Safety, LLC, providing strategic and technical leadership in safety and certification to industry, agency, and defense organizations, and for applications ranging from collision avoidance systems to drug infusion pumps. Dr. Wasson is active in several standards development efforts and advisory groups concerning safety, autonomy, human factors, and AI. She additionally co-led the FAA-sponsored Overarching Properties Working Group (OPWG) and co-authored its foundation papers. Dr. Wasson received her PhD in Computer Science from the University of Virginia in 2006.&nbsp;\u003Cbr>&nbsp;\u003C/p>","2024-06-29T00:48:25.264Z","2024-09-09T14:53:57.075Z","118",{"id":1884,"name":1885,"alternativeText":15,"caption":15,"width":1248,"height":1248,"formats":1886,"hash":1892,"ext":1085,"mime":690,"size":1893,"url":1894,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1895,"updatedAt":1895},163,"1558535334015.jpg",{"thumbnail":1887},{"ext":1085,"url":1888,"hash":1889,"mime":690,"name":1890,"path":15,"size":1891,"width":361,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_1558535334015_9ee945efbc.jpg","thumbnail_1558535334015_9ee945efbc","thumbnail_1558535334015.jpg",6.31,"1558535334015_9ee945efbc",26.96,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/1558535334015_9ee945efbc.jpg","2024-09-09T14:53:52.769Z",[],"-94",{"id":411,"name":1899,"committee":15,"position":15,"affiliation":1900,"email":15,"biography":1901,"createdAt":1902,"updatedAt":1902,"url_path_id":1903,"contactPhoto":15,"socialLinks":1904,"url_path":1905},"C. Michael Holloway ","NASA Langley Research Center ","\u003Cp style=\"text-align:justify;\">C. Michael Holloway is a senior research computer engineer at the NASA Langley Research Center in Hampton, Virginia, where he has worked since 1983. He received an excellent undergraduate education from the University of Virginia and a graduate education from the University of Illinois in Urbana-Champaign. He does research trying to identify (when possible) and build (when necessary) epistemically sound foundations on which informed decision can be made about whether a system will be sufficiently safe in use to justify creating, approving, and deploying it. During his career he has authored over 75 publications and received numerous awards, including NASA Langley's premier research fellowship. Many of his papers are available at https://bit.ly/cmhpapers.\u003Cbr>&nbsp;\u003C/p>","2024-06-29T00:49:36.794Z","119",[],"-95","-96",{"id":426,"groupTitle":1908,"sessions":1909},"Innovations in Aviation",[1910,1951],{"id":84,"session":1911},{"id":84,"title":1912,"teaser":1913,"body":1914,"createdAt":1915,"updatedAt":1916,"publishedAt":1917,"url_path_id":1918,"contacts":1919,"url_path":1950},"Neuromorphic Engineering ","\u003Cp style=\"text-align:justify;\">Neuromorphic computing is an interdisciplinary field that combines concepts from neuroscience, computer science, biology, and electrical and computer engineering. It is an exciting and innovative field miming the human brain's structure, function, and operation.\u003C/p>","\u003Cp style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(33,33,33);\">It aims to create computational systems that mimic the brain's neural architecture and processing capabilities. It encompasses hardware and software design, spiking neural networks, biology, neuroscience, and neurology. Here's a summary of the critical components of neuromorphic computing that will be covered:\u003C/span>\u003C/p>\u003Cul>\u003Cli style=\"text-align:justify;\">Neuromorphic Hardware - Design and Architecture\u003C/li>\u003Cli style=\"text-align:justify;\">Neuromorphic Software\u003C/li>\u003Cli style=\"text-align:justify;\">Neuroscience and Neurology\u003C/li>\u003Cli style=\"text-align:justify;\">Robotics, Autonomous Systems\u003C/li>\u003Cli style=\"text-align:justify;\">Artificial Intelligence\u003C/li>\u003Cli style=\"text-align:justify;\">Healthcare\u003C/li>\u003Cli style=\"text-align:justify;\">Research and Development\u003C/li>\u003Cli style=\"text-align:justify;\">Applications and Future Directions\u003C/li>\u003C/ul>","2024-06-29T00:55:09.609Z","2024-08-14T13:27:21.925Z","2024-06-29T00:55:13.155Z","124",[1920],{"id":456,"name":1921,"committee":15,"position":15,"affiliation":1268,"email":15,"biography":1922,"createdAt":1923,"updatedAt":1924,"url_path_id":1925,"contactPhoto":1926,"socialLinks":1948,"url_path":1949},"Dr. Steven Harbour ","\u003Cp style=\"text-align:justify;\">Dr. Steven Harbour is a senior leader and defense research and engineering professional with over 25 years of experience in multiple engineering and aviation disciplines and applications. He possesses subject matter expertise in Neuromorphic Engineering, Artificial Intelligence / Machine Learning, Human Autonomy Teaming, Neuroscience, Electrical and Computer Engineering, Avionics, Human Factors, Unmanned Aerial Systems, and Autonomous Vehicles.\u003C/p>\u003Cp style=\"text-align:justify;\">Dr. Harbour, is a AI Hardware Research director, leading BRAIN as the PI. He is the author of over 50 papers on nanotechnology and nanoscale architectures, including microcircuit design with the AI algorithm Spiking Neural Network (SNN). Parallax team members have over 20 years of experience in AI algorithms, hardware, image sensor processing, and chip design for commercial and defense applications.\u003C/p>\u003Cp style=\"text-align:justify;\">He served as the Global Hawk Chief of Avionics Engineering and Modernization Programs, wherein he supported the Air Force Research Laboratory Sensors Directorate at Wright-Patterson Air Force Base, OH, and the Air Force Life Cycle Management Center in the ISR / SOF directorate.\u003C/p>\u003Cp style=\"text-align:justify;\">He is a former USAF fighter flight test pilot with over 5,000 hours of total flying time in F-16, F-4, AT-38, T-37, B-52, and EC-135 aircraft. Flew the MIG-29 as part of the US State Department's military-to-military visit program under the Nunn-Lugar Act.\u003C/p>\u003Cp style=\"text-align:justify;\">He has a Ph.D. in Neuroscience (Specializations: Artificial Intelligence &amp; Machine Learning and Neuromorphics). Dr. Harbour also teaches at the University of Dayton &amp; Sinclair College.\u003C/p>","2024-06-29T00:54:42.246Z","2024-08-14T13:26:29.966Z","123",{"id":847,"name":1927,"alternativeText":15,"caption":15,"width":1494,"height":1495,"formats":1928,"hash":1944,"ext":18,"mime":19,"size":1945,"url":1946,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1947,"updatedAt":1947},"image001 (2).png",{"small":1929,"medium":1934,"thumbnail":1939},{"ext":18,"url":1930,"hash":1931,"mime":19,"name":1932,"path":15,"size":1933,"width":1248,"height":658},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/small_image001_2_26860630cd.png","small_image001_2_26860630cd","small_image001 (2).png",212.25,{"ext":18,"url":1935,"hash":1936,"mime":19,"name":1937,"path":15,"size":1938,"width":1507,"height":650},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/medium_image001_2_26860630cd.png","medium_image001_2_26860630cd","medium_image001 (2).png",424.04,{"ext":18,"url":1940,"hash":1941,"mime":19,"name":1942,"path":15,"size":1943,"width":1513,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_image001_2_26860630cd.png","thumbnail_image001_2_26860630cd","thumbnail_image001 (2).png",30.59,"image001_2_26860630cd",147,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/image001_2_26860630cd.png","2024-08-14T13:26:00.148Z",[],"-99","-100",{"id":276,"session":1952},{"id":276,"title":1953,"teaser":1954,"body":1955,"createdAt":1956,"updatedAt":1957,"publishedAt":1958,"url_path_id":1959,"contacts":1960,"url_path":2029},"Scenario and Operational Design Domain Modeling for AI-Based Airborne Systems","\u003Cp style=\"text-align:justify;\">AI-based functions and, eventually, autonomy are getting an increasing interest in the airborne systems domain. They indeed challenge how we assure the system’s safety. Scenario- based testing approaches have recently emerged as an answer to this and have matured quite a bit, especially in the automotive industry in the Automated Vehicle domain.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">The German Aerospace Center (DLR) and the Technical University of Clausthal research groups have been developing and refining scenario and Operational Design Domain (ODD) modelling techniques for airborne systems with accompanying tools for the past few years. This tutorial will showcase the techniques with real-life examples and enable attendees to use our modelling tool for their verification needs. The tutorial will focus on the following aspects for verifying AI systems in aviation, which will begin with the theoretical background and delve into the practical aspects of modelling scenarios and ODD using an open-source graphical tool called the Operational Domain Modelling Environment (ODME).\u003C/p>\u003Cp style=\"text-align:justify;\">• History of aviation safety\u003C/p>\u003Cp style=\"text-align:justify;\">• Current regulatory framework\u003C/p>\u003Cp style=\"text-align:justify;\">• Artificial Intelligence in aviation and EASA guidelines for ML applications • Model-based techniques for scenarios and ODD foundational concepts\u003C/p>\u003Cp style=\"text-align:justify;\">• Introduction to the ODME and its capabilities\u003C/p>\u003Cp style=\"text-align:justify;\">• Defining domain model for a use case on ODME\u003C/p>\u003Cp style=\"text-align:justify;\">• Automated generation of scenario and ODD models from the domain model\u003C/p>\u003Cp style=\"text-align:justify;\">• Customizing behavior of scenarios\u003Cbr>• Generating ODD coverage for scenarios\u003Cbr>• Sharing scenario and ODD as machine-readable formats&nbsp;\u003C/p>","2024-06-29T00:58:11.020Z","2024-06-29T00:58:14.610Z","2024-06-29T00:58:14.604Z","127",[1961,1988],{"id":264,"name":1962,"committee":15,"position":15,"affiliation":1963,"email":15,"biography":1964,"createdAt":1965,"updatedAt":1966,"url_path_id":1967,"contactPhoto":1968,"socialLinks":1986,"url_path":1987},"Umut Durak","German Aerospace Center (DLR)","\u003Cp style=\"text-align:justify;\">Umut Durak is the Group Leader for Avionics Systems in the Institute of Flight Systems at the German Aerospace Center (DLR). He is also a Professor of Aeronautical Informatics at the Informatics Institute at the Clausthal University of Technology. His research interests concentrate on the engineering of software-intensive airborne systems. He has published five books and more than 100 papers in various conference proceedings and journals. He is an Associate Fellow and the Chair of the Software Technical Committee at the American Institute of Aeronautics and Astronautics (AIAA) and an Executive Board Member of the German Simulation Association Arbeitsgemeinschaft Simulation (ASIM).&nbsp;\u003C/p>","2024-06-29T00:56:51.721Z","2024-08-30T12:37:49.770Z","126",{"id":326,"name":1969,"alternativeText":15,"caption":15,"width":1970,"height":1970,"formats":1971,"hash":1982,"ext":1085,"mime":690,"size":1983,"url":1984,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1985,"updatedAt":1985},"durak_portrait.jpg",700,{"small":1972,"thumbnail":1977},{"ext":1085,"url":1973,"hash":1974,"mime":690,"name":1975,"path":15,"size":1976,"width":658,"height":658},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/small_durak_portrait_80b329f59d.jpg","small_durak_portrait_80b329f59d","small_durak_portrait.jpg",26.89,{"ext":1085,"url":1978,"hash":1979,"mime":690,"name":1980,"path":15,"size":1981,"width":361,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_durak_portrait_80b329f59d.jpg","thumbnail_durak_portrait_80b329f59d","thumbnail_durak_portrait.jpg",4.77,"durak_portrait_80b329f59d",46.24,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/durak_portrait_80b329f59d.jpg","2024-08-30T12:37:42.258Z",[],"-102",{"id":257,"name":1989,"committee":15,"position":15,"affiliation":1963,"email":15,"biography":1990,"createdAt":1991,"updatedAt":1992,"url_path_id":1993,"contactPhoto":1994,"socialLinks":2027,"url_path":2028},"Siddhartha Gupta ","\u003Cp style=\"text-align:justify;\">Siddhartha Gupta is a research scientist in the Avionics Systems Research Group at the Institute of Flight Systems at the German Aerospace Center (DLR) in Braunschweig, Germany. He is also a researcher at the Aeronautical Informatics group at the Technical University of Clausthal. His research focus is the safety and certification of AI-based systems in aviation, exploring model-driven techniques for verifying such systems. Recently, he has been studying the efficacy of scenario and ODD modelling techniques with their application in simulation-based verification of AI-models in Aviation. He has been using these techniques in many examples in various Cyber-Physical systems as a part of National and EU projects.&nbsp;\u003C/p>","2024-06-29T00:55:59.689Z","2024-08-30T12:38:40.584Z","125",{"id":1995,"name":1996,"alternativeText":15,"caption":15,"width":1997,"height":1998,"formats":1999,"hash":2023,"ext":18,"mime":19,"size":2024,"url":2025,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":2026,"updatedAt":2026},151,"photo_sid.png",1396,1570,{"large":2000,"small":2006,"medium":2012,"thumbnail":2018},{"ext":18,"url":2001,"hash":2002,"mime":19,"name":2003,"path":15,"size":2004,"width":2005,"height":693},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/large_photo_sid_9f115c0c8e.png","large_photo_sid_9f115c0c8e","large_photo_sid.png",1262.53,889,{"ext":18,"url":2007,"hash":2008,"mime":19,"name":2009,"path":15,"size":2010,"width":2011,"height":658},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/small_photo_sid_9f115c0c8e.png","small_photo_sid_9f115c0c8e","small_photo_sid.png",316.57,445,{"ext":18,"url":2013,"hash":2014,"mime":19,"name":2015,"path":15,"size":2016,"width":2017,"height":650},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/medium_photo_sid_9f115c0c8e.png","medium_photo_sid_9f115c0c8e","medium_photo_sid.png",716.97,667,{"ext":18,"url":2019,"hash":2020,"mime":19,"name":2021,"path":15,"size":2022,"width":894,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_photo_sid_9f115c0c8e.png","thumbnail_photo_sid_9f115c0c8e","thumbnail_photo_sid.png",35.98,"photo_sid_9f115c0c8e",810.06,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/photo_sid_9f115c0c8e.png","2024-08-30T12:38:26.998Z",[],"-101","-103",{"id":469,"groupTitle":1629,"sessions":2031},[2032,2066],{"id":244,"session":2033},{"id":244,"title":2034,"teaser":2035,"body":2036,"createdAt":2037,"updatedAt":2038,"publishedAt":2039,"url_path_id":2040,"contacts":2041,"url_path":2065},"Introduction to multi-core processing interference channel analysis, identification, and mitigation for safety-critical applications.","\u003Cp style=\"text-align:justify;\">Multi-core processors (MCPs) have been readily available since 2005, but developers have been constrained to using a single core in real-time or safety-critical applications because of the non- deterministic nature of shared resources on a multi-core chip.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:black;\">However, in today’s development landscape, the need for heavy processing power combined with physical space limitations has pushed the real-time and safety-critical industries to utilize the full benefit of multi-core processing. With this new requirement comes the need to understand how to mitigate the non- deterministic effects of multi-core processing known as interference channels and maintain a system with full real-time safety-critical compliance. The best way to help the industries with this task is to provide a methodology for analyzing, identifying, and mitigating the effects of the interference channels. The goal of this tutorial is to educate the user and introduce them to these concepts.\u003C/span>\u003C/p>\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"color:black;\">This tutorial aims to:\u003C/span>\u003C/p>\u003Cul style=\"list-style-type:disc;\">\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:black;\">Educate the audience on multi-core processing interference channels and safety-critical challenges.\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:black;\">Explain how multi-core processing interference negatively impacts safety-critical industries, such as DoD aviation and commercial aviation.\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:black;\">Provide an interactive tutorial on the process of analyzing, identifying, and mitigating multi-core processing interference channels in a critical application.\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:black;\">Explain the benefits of including multi-core characterization and mitigations in the beginning stages of the design of safety-critical applications.\u003C/span>\u003C/li>\u003Cli style=\"text-align:justify;\">\u003Cspan style=\"color:black;\">Discuss the emerging trends in hardware/software and future pathways.\u003C/span>\u003C/li>\u003C/ul>","2024-06-29T01:01:40.432Z","2024-06-29T01:01:44.347Z","2024-06-29T01:01:44.342Z","131",[2042,2050,2058],{"id":288,"name":2043,"committee":15,"position":15,"affiliation":2044,"email":15,"biography":2045,"createdAt":2046,"updatedAt":2046,"url_path_id":2047,"contactPhoto":15,"socialLinks":2048,"url_path":2049},"Tuan Bui ","US ARMY AvMC Software Airworthiness Division, Systems Readiness Directorate","\u003Cp style=\"text-align:justify;\">Tuan Bui – US ARMY AvMC Software Airworthiness Division, Systems Readiness Directorate. Tuan Bui is a software engineer working at the U.S. Army AvMC Systems Readiness Directorate (SRD), Software Airworthiness Division. He obtained a master’s degree in Computer Engineering from the University Alabama in Huntsville specialized in software. He has over 30 years of experience in embedded systems and software airworthiness evaluation. He currently supports various Army Aviation programs with focus on real-time, safety-critical systems regarding multi- core processors software architect and airworthiness requirements.\u003C/p>","2024-06-29T00:59:04.220Z","128",[],"-104",{"id":295,"name":2051,"committee":15,"position":15,"affiliation":2052,"email":15,"biography":2053,"createdAt":2054,"updatedAt":2054,"url_path_id":2055,"contactPhoto":15,"socialLinks":2056,"url_path":2057},"John Ross ","US ARMY AvMC Multi-Core Processing Laboratory (CTR)","\u003Cp style=\"text-align:justify;\">John Ross – US ARMY AvMC Multi-Core Processing Laboratory (CTR). John Ross has worked with computer systems since the mid-1990s. He has a degree from the University of Alabama in Huntsville in Computer Engineering, specializing in parallel processing and massively parallel processing (MPP). He has a paper published on the topic of general- purpose GPU processing in the IEEE SouthEastCon 2013. He currently works in the US ARMY multi-core processing lab with over 5 years of experience analyzing the effects of multi-core processing interference on embedded systems.\u003C/p>","2024-06-29T00:59:49.396Z","129",[],"-105",{"id":122,"name":2059,"committee":15,"position":15,"affiliation":2052,"email":15,"biography":2060,"createdAt":2061,"updatedAt":2061,"url_path_id":2062,"contactPhoto":15,"socialLinks":2063,"url_path":2064},"William Vance ","\u003Cp style=\"text-align:justify;\">William Vance – US ARMY AvMC Multi-Core Processing Laboratory (CTR). William Vance is a computer engineer working at the U.S. Army multi-core processing lab. He obtained a master’s degree in Computer Engineering from Auburn University. He has over 4 years of experience in embedded programming and software airworthiness evaluation. His research interests are in the areas of multi-core interference analysis and real-time systems. William has authored a paper titled \"Insights from Preliminary Analysis of Local Cache Performance in COTS RTOS for Multi-Core Processors\".\u003C/p>","2024-06-29T01:00:30.971Z","130",[],"-106","-107",{"id":92,"session":2067},{"id":92,"title":2068,"teaser":2069,"body":2070,"createdAt":2071,"updatedAt":2072,"publishedAt":2073,"url_path_id":2074,"contacts":2075,"url_path":2246},"IEEE AESS FREE Tutorial: Digital Avionics for Sustainability","\u003Cp style=\"text-align:justify;\">For several decades, the aviation sector has demonstrated remarkable growth and resilience, weathering various socioeconomic and geopolitical crises. As a result, without substantial further interventions, this sector alone is projected to contribute significantly to climate change, accounting for 6-10% of human-induced climate impacts by 2050.\u003C/p>","\u003Cp style=\"text-align:justify;\">&nbsp;The market growth is also expected to accelerate with the rise of commercial Unmanned Aircraft Systems (UAS) and Advanced Air Mobility (AAM) services, and further expansion is anticipated with the rise of operations above Flight Level 600 and point-to-point space transport. Several factors have intensified pressure on the aviation industry and are hindering the current stride to achieving sustainability, among which a more volatile geopolitical and macroeconomic context and an escalating market pressure. Additionally, new technologies such as UAS and AAM necessitate a substantial evolution of standards, regulations and operational procedures. In the last two decades, major initiatives to modernize avionics and Air Traffic Management (ATM) systems have endeavored to accommodate an unimpeded growth of traffic and to mitigate congestion and inefficiencies by supporting a more harmonized, collaborative, performance-based and trajectory-based management, supported by a rapidly increasing digitization. While unprecedented environmental targets were set, the road to carbon neutrality is still long and several technological challenges are still to be effectively addressed. A key contemporary priority is the rapid integration of digital technologies, particularly network-centric avionics and Communication, Navigation, Surveillance and ATM (CNS/ATM) systems supporting higher automation levels, increased airspace capacity, and significant environmental sustainability improvements for both passenger and cargo transport. This tutorial discusses the role of digital avionics and ATM systems R&amp;D in enhancing the environmental sustainability of the aviation sector. The aim is to disseminate recent research outcomes and to identify opportunities for industrial innovation in strategic areas, such as future systems for ATFM, DAM and cooperative/non-cooperative surveillance. Starting from SESAR/NextGen top-level operational and technical requirements, this tutorial discusses the role of integrated CNS+A system architectures implementing 4-Dimensional Trajectory Optimization (4DTO) algorithms, data link communications and enhanced surveillance technologies, as well as adaptive cognitive forms of Human-Machine Interface and Interaction (HMI2), allowing the automated negotiation and validation of aircraft intents for safer and more efficient ATM operations. As an integral part of this CNS+A evolutionary process, specific requirements for UAS navigation, communication and cooperative/non-cooperative Sense-and-Avoid (SAA) are being addressed to allow the safe and unrestricted access of UAS to all classes of airspace.\u003C/p>","2024-06-29T01:07:40.548Z","2024-08-22T15:40:25.652Z","2024-06-29T01:07:44.365Z","138",[2076,2111,2154,2161,2175,2183,2205],{"id":314,"name":2077,"committee":15,"position":15,"affiliation":2078,"email":15,"biography":2079,"createdAt":2080,"updatedAt":2081,"url_path_id":2082,"contactPhoto":2083,"socialLinks":2109,"url_path":2110},"Roberto Sabatini ","Khalifa University of Science and Technology (UAE)","\u003Cp style=\"text-align:justify;\">Roberto Sabatini is a Professor of Aerospace Engineering at Khalifa University of Science and Technology (UAE) and an Honorary Professor at RMIT University (Australia). He has three decades of experience in Avionics, Spaceflight and Robotics/Autonomous Systems research and education. Throughout his career, Prof. Sabatini has led several industry and government funded research projects and he has authored or co-authored more than 300 peer-reviewed international publications and several books. Prof. Sabatini is a Fellow and Executive of the Institution of Engineers Australia, Fellow of the Royal Aeronautical Society, Fellow of the Royal Institute of Navigation, and Senior Member of IEEE and AIAA. In addition to his primary academic duties and various honorary/consulting appointments in Europe, North America, Australia, Asia and South Africa, he contributes to the IEEE community as member of the AESS Board of Governors, Chair of the AESS Avionics Systems Panel, and AESS Distinguished Lecturer, as well as editorial board member for various IEEE journals and book series, including the IEEE Transaction on Aerospace and Electronic Systems, the IEEE Series on Aeronautics and Astronautics Systems, and the AESS Systems Magazine.\u003C/p>","2024-06-29T01:02:39.604Z","2024-07-12T12:47:12.263Z","132",{"id":1666,"name":2084,"alternativeText":15,"caption":15,"width":1494,"height":2085,"formats":2086,"hash":2105,"ext":687,"mime":690,"size":2106,"url":2107,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":2108,"updatedAt":2108},"Roberto Sabatini.jpeg",659,{"small":2087,"medium":2093,"thumbnail":2099},{"ext":687,"url":2088,"hash":2089,"mime":690,"name":2090,"path":15,"size":2091,"width":658,"height":2092},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/small_Roberto_Sabatini_b3342dddb5.jpeg","small_Roberto_Sabatini_b3342dddb5","small_Roberto Sabatini.jpeg",33.25,434,{"ext":687,"url":2094,"hash":2095,"mime":690,"name":2096,"path":15,"size":2097,"width":650,"height":2098},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/medium_Roberto_Sabatini_b3342dddb5.jpeg","medium_Roberto_Sabatini_b3342dddb5","medium_Roberto Sabatini.jpeg",61.7,650,{"ext":687,"url":2100,"hash":2101,"mime":690,"name":2102,"path":15,"size":2103,"width":2104,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Roberto_Sabatini_b3342dddb5.jpeg","thumbnail_Roberto_Sabatini_b3342dddb5","thumbnail_Roberto Sabatini.jpeg",7.17,180,"Roberto_Sabatini_b3342dddb5",59.02,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Roberto_Sabatini_b3342dddb5.jpeg","2024-07-12T12:47:08.943Z",[],"-108",{"id":208,"name":2112,"committee":15,"position":15,"affiliation":2113,"email":15,"biography":2114,"createdAt":2115,"updatedAt":2116,"url_path_id":2117,"contactPhoto":2118,"socialLinks":2152,"url_path":2153},"Erik P. Blasch, Ph.D./MBA","Air Force Research Laboratory","\u003Cp style=\"text-align:justify;\">Erik P. Blasch, Ph.D./MBA, is a program officer with the Air Force Research Laboratory. He received his B.S. in Mech. Eng. from the Massachusetts Institute of Technology and Ph.D. in Electrical Eng. from Wright State University in addition to numerous Master’s Degrees in Mech. Eng., Ind. Eng., Elect. Eng., Medicine, Military Studies, and Economics. Additionally, his assignments include Colonel (ret) in the USAF reserves, adjunct associate professor, and president of professional societies. His areas of research include information-fusion performance evaluation, image fusion, avionics, and human-machine integration; compiling over 120 journal papers, 900 publications, 42 patents, and 8 books. He is a Fellow of AIAA, IEEE, MSS, and SPIE.&nbsp;\u003C/p>","2024-06-29T01:03:26.497Z","2024-07-12T12:48:07.015Z","133",{"id":2119,"name":2120,"alternativeText":15,"caption":15,"width":2121,"height":2122,"formats":2123,"hash":2148,"ext":1085,"mime":690,"size":2149,"url":2150,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":2151,"updatedAt":2151},104,"Erik Blasch.jpg",1016,960,{"large":2124,"small":2130,"medium":2136,"thumbnail":2142},{"ext":1085,"url":2125,"hash":2126,"mime":690,"name":2127,"path":15,"size":2128,"width":693,"height":2129},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/large_Erik_Blasch_d9ec4c6a19.jpg","large_Erik_Blasch_d9ec4c6a19","large_Erik Blasch.jpg",121.67,945,{"ext":1085,"url":2131,"hash":2132,"mime":690,"name":2133,"path":15,"size":2134,"width":658,"height":2135},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/small_Erik_Blasch_d9ec4c6a19.jpg","small_Erik_Blasch_d9ec4c6a19","small_Erik Blasch.jpg",32.04,472,{"ext":1085,"url":2137,"hash":2138,"mime":690,"name":2139,"path":15,"size":2140,"width":650,"height":2141},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/medium_Erik_Blasch_d9ec4c6a19.jpg","medium_Erik_Blasch_d9ec4c6a19","medium_Erik Blasch.jpg",69.64,709,{"ext":1085,"url":2143,"hash":2144,"mime":690,"name":2145,"path":15,"size":2146,"width":2147,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Erik_Blasch_d9ec4c6a19.jpg","thumbnail_Erik_Blasch_d9ec4c6a19","thumbnail_Erik Blasch.jpg",5.48,165,"Erik_Blasch_d9ec4c6a19",115.42,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Erik_Blasch_d9ec4c6a19.jpg","2024-07-12T12:48:03.580Z",[],"-109",{"id":426,"name":1486,"committee":15,"position":15,"affiliation":1487,"email":15,"biography":1488,"createdAt":1489,"updatedAt":1490,"url_path_id":1491,"contactPhoto":2155,"socialLinks":2160,"url_path":1520},{"id":1263,"name":1493,"alternativeText":15,"caption":15,"width":1494,"height":1495,"formats":2156,"hash":1514,"ext":18,"mime":19,"size":1515,"url":1516,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1517,"updatedAt":1518},{"small":2157,"medium":2158,"thumbnail":2159},{"ext":18,"url":1498,"hash":1499,"mime":19,"name":1500,"path":15,"size":1501,"width":1248,"height":658},{"ext":18,"url":1503,"hash":1504,"mime":19,"name":1505,"path":15,"size":1506,"width":1507,"height":650},{"ext":18,"url":1509,"hash":1510,"mime":19,"name":1511,"path":15,"size":1512,"width":1513,"height":361},[],{"id":368,"name":2162,"committee":15,"position":15,"affiliation":2163,"email":15,"biography":2164,"createdAt":2165,"updatedAt":2166,"url_path_id":2167,"contactPhoto":2168,"socialLinks":2173,"url_path":2174},"Aloke Roy","VisionAR Systems, LLC","\u003Cp style=\"text-align:justify;\">Mr. Aloke Roy is the Managing Partner at VisionAR Systems, LLC, which provides systems engineering services to the aerospace industry. Mr. Roy covers technology research on cyber security artificial intelligence, machine learning, and wireless communications. &nbsp;Mr. Roy is an advisor to FAA and International Civil Aviation Organization (ICAO) on communication and cyber security technologies. Prior to this, Mr. Roy was with Honeywell Advanced Technology organization managing data communication, information security and radio technology development programs supporting Honeywell Aerospace. &nbsp;He is currently the Chair of IEEE AESS Cybersecurity Panel and Chair of AIAA DATC ICNS Executive Committee. &nbsp;Previously, he was the Chair of IEEE AESS Avionics Systems Panel and chaired RTCA Special Committee 223, to develop the Aviation Internet Protocol and Aeronautical Mobile Airport Communication System requirements and operational performance standards. &nbsp; &nbsp; Mr. Roy holds several patents on aeronautical wireless and secure communications.&nbsp;\u003C/p>","2024-06-29T01:04:09.578Z","2024-08-23T15:10:39.767Z","134",{"id":1353,"name":1459,"alternativeText":15,"caption":15,"width":1131,"height":361,"formats":15,"hash":2169,"ext":1085,"mime":690,"size":2170,"url":2171,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":2172,"updatedAt":2172},"Picture1_0bb7544012",4.57,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Picture1_0bb7544012.jpg","2024-08-08T19:13:07.251Z",[],"-110",{"id":386,"name":2176,"committee":15,"position":15,"affiliation":2177,"email":15,"biography":2178,"createdAt":2179,"updatedAt":2179,"url_path_id":2180,"contactPhoto":15,"socialLinks":2181,"url_path":2182},"Irfan Majid","Institute of Space Technology, Islamabad, Pakistan","\u003Cp style=\"text-align:justify;\">Irfan Majid is an Assistant Professor in the Department of Avionics Engineering at Institute of Space Technology, Islamabad, Pakistan. He is a seasoned Avionics Engineer with over thirty years of experience. His work experiences include avionics maintenance and life cycle support, research and development for design of avionics systems for manned and unmanned aircraft. Presently he teaches Avionics System Design and Guidance &amp; Navigation courses to Avionics Engineering students and conducts research related to avionics systems. His current research areas include certification for AI/ML in safety critical systems, CNS systems for UAM and Aircraft Electromagnetic Compatibility Analysis. He has authored a number of journal publications and a book chapter.\u003C/p>","2024-06-29T01:04:53.518Z","135",[],"-111",{"id":404,"name":2184,"committee":15,"position":15,"affiliation":2185,"email":15,"biography":2186,"createdAt":2187,"updatedAt":2188,"url_path_id":2189,"contactPhoto":2190,"socialLinks":2203,"url_path":2204},"Carlos C. Insaurralde ","University of the West of England, Bristol, UK","\u003Cp style=\"text-align:justify;\">Carlos C. Insaurralde is a Senior Lecturer in Electronic Engineering at the University of the West of England, Bristol, UK. He has worked in US-funded(AFRL), UK-funded(MoD), and EU-funded projects on robotics and autonomous systems with different application domains (ground, sea, air, and space). He has over twenty-five years of hands-on experience in software engineering for robotics and autonomous systems along with solid expertise in embedded systems and CPSs. He is member of the ASP and a Distinguished Lecturer for IEEE Aerospace &amp; Electronics Systems Society (AESS). His research interests are multidisciplinary development of high-integrity systems, architectures of intelligent and autonomous systems, and metric assessment of systems performance. He is author of over one hundred international publications and twenty technical reports. He also received a mention “Doctor Europaeus” accredited by the European University Association in 2007, and Best of Session Paper awards at the Digital Avionics Systems Conference (DASC), 2004, 2008, 2013, 2014, and 2022 as well as appreciation awards for significant contribution as Track and Session Chair at DASC in 2016, 2021, and 2022. He is also a tutorial instructor for Intelligent Control Vehicle Architectures at DASC since 2018.\u003C/p>","2024-06-29T01:05:48.878Z","2024-07-12T12:44:28.930Z","136",{"id":16,"name":2191,"alternativeText":15,"caption":15,"width":2192,"height":2192,"formats":2193,"hash":2199,"ext":1085,"mime":690,"size":2200,"url":2201,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":2202,"updatedAt":2202},"Carlos C Insaurralde.jpg",331,{"thumbnail":2194},{"ext":1085,"url":2195,"hash":2196,"mime":690,"name":2197,"path":15,"size":2198,"width":361,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_Carlos_C_Insaurralde_22b09a1e7e.jpg","thumbnail_Carlos_C_Insaurralde_22b09a1e7e","thumbnail_Carlos C Insaurralde.jpg",4.32,"Carlos_C_Insaurralde_22b09a1e7e",15.96,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/Carlos_C_Insaurralde_22b09a1e7e.jpg","2024-07-12T12:44:25.015Z",[],"-112",{"id":424,"name":2206,"committee":15,"position":15,"affiliation":2207,"email":15,"biography":2208,"createdAt":2209,"updatedAt":2210,"url_path_id":2211,"contactPhoto":2212,"socialLinks":2244,"url_path":2245},"Alessandro Gardi","Khalifa University (UAE) ","\u003Cp style=\"text-align:justify;\">Alessandro Gardi is an Assistant Professor at Khalifa University (UAE) and Associate of RMIT University (Australia). He obtained BSc and MSc degrees in Aerospace Engineering from Politecnico di Milano (Italy) and a PhD in the same discipline from RMIT University. Dr Gardi’s research focuses on aerospace cyber-physical systems (UAS, satellites, ATM systems and avionics). In this domain, he specializes in multi-objective trajectory optimization with emphasis on optimal control methods, multidisciplinary design optimization and AI/metaheuristics for air and space platforms.\u003C/p>","2024-06-29T01:06:28.141Z","2024-07-12T12:45:18.335Z","137",{"id":2213,"name":2214,"alternativeText":15,"caption":15,"width":2215,"height":2216,"formats":2217,"hash":2240,"ext":1085,"mime":690,"size":2241,"url":2242,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":2243,"updatedAt":2243},102,"A. Gardi 2019_cropped.jpg",2107,2208,{"large":2218,"small":2224,"medium":2229,"thumbnail":2235},{"ext":1085,"url":2219,"hash":2220,"mime":690,"name":2221,"path":15,"size":2222,"width":2223,"height":693},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/large_A_Gardi_2019_cropped_7f31e1dc07.jpg","large_A_Gardi_2019_cropped_7f31e1dc07","large_A. Gardi 2019_cropped.jpg",93.41,954,{"ext":1085,"url":2225,"hash":2226,"mime":690,"name":2227,"path":15,"size":939,"width":2228,"height":658},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/small_A_Gardi_2019_cropped_7f31e1dc07.jpg","small_A_Gardi_2019_cropped_7f31e1dc07","small_A. Gardi 2019_cropped.jpg",477,{"ext":1085,"url":2230,"hash":2231,"mime":690,"name":2232,"path":15,"size":2233,"width":2234,"height":650},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/medium_A_Gardi_2019_cropped_7f31e1dc07.jpg","medium_A_Gardi_2019_cropped_7f31e1dc07","medium_A. Gardi 2019_cropped.jpg",56.97,716,{"ext":1085,"url":2236,"hash":2237,"mime":690,"name":2238,"path":15,"size":2239,"width":1325,"height":361},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/thumbnail_A_Gardi_2019_cropped_7f31e1dc07.jpg","thumbnail_A_Gardi_2019_cropped_7f31e1dc07","thumbnail_A. Gardi 2019_cropped.jpg",4.8,"A_Gardi_2019_cropped_7f31e1dc07",350.32,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/dasc24/A_Gardi_2019_cropped_7f31e1dc07.jpg","2024-07-12T12:45:12.076Z",[],"-113","-114",{"data":2248,"meta":2249},{"id":276,"heading":271,"createdAt":277,"updatedAt":278,"publishedAt":279,"url_path_id":280,"url_path":272,"contentType":82},{},1778851222146]