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style=\"list-style-type:decimal;\">\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://jobs.utdallas.edu/postings/27382\">\u003Cspan style=\"color:#1155cc;\">\u003Cu>Assistant and Associate Professor in Electrical and Computer Engineering\u003C/u>\u003C/span>\u003C/a>\u003C/li>\u003C/ol>","2024-10-21T16:22:25.910Z","2024-10-26T20:57:21.210Z","2024-10-21T16:22:27.674Z","205",{"id":1144,"name":1145,"alternativeText":15,"caption":15,"width":1146,"height":1147,"formats":1148,"hash":1166,"ext":18,"mime":19,"size":1167,"url":1168,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1169,"updatedAt":1169},134,"monogram-emblem-border-880-1.png",880,587,{"small":1149,"medium":1155,"thumbnail":1160},{"ext":18,"url":1150,"hash":1151,"mime":19,"name":1152,"path":15,"size":1153,"width":648,"height":1154},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_monogram_emblem_border_880_1_8faf9d88be.png","small_monogram_emblem_border_880_1_8faf9d88be","small_monogram-emblem-border-880-1.png",22.25,334,{"ext":18,"url":1156,"hash":1157,"mime":19,"name":1158,"path":15,"size":1159,"width":655,"height":648},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/medium_monogram_emblem_border_880_1_8faf9d88be.png","medium_monogram_emblem_border_880_1_8faf9d88be","medium_monogram-emblem-border-880-1.png",35.91,{"ext":18,"url":1161,"hash":1162,"mime":19,"name":1163,"path":15,"size":1164,"width":1165,"height":622},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_monogram_emblem_border_880_1_8faf9d88be.png","thumbnail_monogram_emblem_border_880_1_8faf9d88be","thumbnail_monogram-emblem-border-880-1.png",9.35,234,"monogram_emblem_border_880_1_8faf9d88be",7.26,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/monogram_emblem_border_880_1_8faf9d88be.png","2024-10-21T16:21:43.033Z",{"id":1171,"variation":595,"button":1172},61,[1173],{"id":212,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1174,"newWindow":8,"downloadable":15,"shape":15},"https://www.utdallas.edu/","-164",{"id":206,"name":1177,"description":1178,"createdAt":1179,"updatedAt":1180,"publishedAt":1181,"url_path_id":1182,"logo":1183,"website":1197,"url_path":1202},"Peking University","\u003Cp>Openings:\u003C/p>\u003Col style=\"list-style-type:decimal;\">\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://drive.google.com/file/d/1Kh6kLqgXyZ-yHFcFpN0LtNoZA0l3s-bK/view?usp=drive_link\">Multiple tenure-track faculty positions\u003C/a>\u003C/li>\u003C/ol>","2024-10-21T16:22:51.218Z","2024-10-26T20:55:41.318Z","2024-10-21T16:22:53.136Z","206",{"id":649,"name":1184,"alternativeText":15,"caption":15,"width":1185,"height":1102,"formats":1186,"hash":1193,"ext":18,"mime":19,"size":1194,"url":1195,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1196,"updatedAt":1196},"images (3).png",391,{"thumbnail":1187},{"ext":18,"url":1188,"hash":1189,"mime":19,"name":1190,"path":15,"size":1191,"width":589,"height":1192},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_images_3_68cbc0fd43.png","thumbnail_images_3_68cbc0fd43","thumbnail_images (3).png",17.77,81,"images_3_68cbc0fd43",7.83,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/images_3_68cbc0fd43.png","2024-10-21T16:21:42.687Z",{"id":1198,"variation":595,"button":1199},62,[1200],{"id":894,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1201,"newWindow":8,"downloadable":15,"shape":15},"https://english.pku.edu.cn/","-165",{"id":160,"name":1204,"description":45,"createdAt":1205,"updatedAt":1206,"publishedAt":1207,"url_path_id":1208,"logo":1209,"website":1231,"url_path":1235},"Chinese University of Hong Kong","2024-10-21T16:23:31.393Z","2024-10-21T16:25:07.701Z","2024-10-21T16:25:07.690Z","207",{"id":1210,"name":1211,"alternativeText":15,"caption":15,"width":1212,"height":1213,"formats":1214,"hash":1227,"ext":18,"mime":19,"size":1228,"url":1229,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1230,"updatedAt":1230},137,"cuhk_logo_2x.png",556,100,{"small":1215,"thumbnail":1221},{"ext":18,"url":1216,"hash":1217,"mime":19,"name":1218,"path":15,"size":1219,"width":648,"height":1220},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_cuhk_logo_2x_2674588b4f.png","small_cuhk_logo_2x_2674588b4f","small_cuhk_logo_2x.png",33.47,90,{"ext":18,"url":1222,"hash":1223,"mime":19,"name":1224,"path":15,"size":1225,"width":589,"height":1226},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_cuhk_logo_2x_2674588b4f.png","thumbnail_cuhk_logo_2x_2674588b4f","thumbnail_cuhk_logo_2x.png",11.33,44,"cuhk_logo_2x_2674588b4f",8.47,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/cuhk_logo_2x_2674588b4f.png","2024-10-21T16:25:04.093Z",{"id":946,"variation":595,"button":1232},[1233],{"id":335,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1234,"newWindow":8,"downloadable":15,"shape":15},"https://www.cuhk.edu.hk/","-166",{"id":310,"name":1237,"description":1238,"createdAt":1239,"updatedAt":1240,"publishedAt":1241,"url_path_id":1242,"logo":1243,"website":1276,"url_path":1280},"California State University, Long Beach","\u003Cp>Openings:\u003C/p>\u003Cp>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://urldefense.com/v3/__https://careers.pageuppeople.com/873/lb/en-us/job/543010/assistant-professor-of-computer-science__;!!IKRxdwAv5BmarQ!eQj8K4F3IfjWIwE6lI2-CE4VMHwlbceaBpx6Qm-22ksIX6ZjXv3PrCSF51VgT13ifmtvdqiqtUzmU1Zx7gIuBOf2bWY$\">Assistant Professor of Computer Science\u003C/a>\u003C/p>","2024-10-21T16:25:34.926Z","2024-10-27T19:26:45.135Z","2024-10-21T16:25:37.001Z","208",{"id":1244,"name":1245,"alternativeText":15,"caption":15,"width":1246,"height":1247,"formats":1248,"hash":1273,"ext":18,"mime":19,"size":81,"url":1274,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1275,"updatedAt":1275},136,"49e1116896ee3dd71dd426fcd25cc16b.png",1280,800,{"large":1249,"small":1255,"medium":1261,"thumbnail":1267},{"ext":18,"url":1250,"hash":1251,"mime":19,"name":1252,"path":15,"size":1253,"width":640,"height":1254},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/large_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33.png","large_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33","large_49e1116896ee3dd71dd426fcd25cc16b.png",52.7,625,{"ext":18,"url":1256,"hash":1257,"mime":19,"name":1258,"path":15,"size":1259,"width":648,"height":1260},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33.png","small_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33","small_49e1116896ee3dd71dd426fcd25cc16b.png",23.09,313,{"ext":18,"url":1262,"hash":1263,"mime":19,"name":1264,"path":15,"size":1265,"width":655,"height":1266},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/medium_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33.png","medium_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33","medium_49e1116896ee3dd71dd426fcd25cc16b.png",37.06,469,{"ext":18,"url":1268,"hash":1269,"mime":19,"name":1270,"path":15,"size":1271,"width":589,"height":1272},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33.png","thumbnail_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33","thumbnail_49e1116896ee3dd71dd426fcd25cc16b.png",10.13,153,"49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33","https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33.png","2024-10-21T16:21:43.178Z",{"id":396,"variation":595,"button":1277},[1278],{"id":316,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1279,"newWindow":8,"downloadable":15,"shape":15},"https://www.csulb.edu/","-167",{"id":227,"name":1282,"description":1283,"createdAt":1284,"updatedAt":1285,"publishedAt":1286,"url_path_id":1287,"logo":1288,"website":1320,"url_path":1325},"NVIDIA","\u003Cp>Openings:\u003C/p>\u003Cul>\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/details/Research-Scientist--Design-Automation---New-College-Grad-2025_JR1989394-1?q=JR1989394\">Research scientist\u003C/a>\u003C/li>\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/PhD-Research-Intern--Robotics-and-or-Autonomous-Vehicles---2025_JR1989940-1?q=JR1989940+PhD+Research+Intern,+Robotics+and/or+Autonomous+Vehicles+-+2025\">Internship link\u003C/a>\u003C/li>\u003C/ul>","2024-10-21T16:26:10.208Z","2024-10-28T21:11:00.165Z","2024-10-21T16:26:12.361Z","209",{"id":1289,"name":1290,"alternativeText":15,"caption":15,"width":1291,"height":1292,"formats":1293,"hash":1316,"ext":18,"mime":19,"size":1317,"url":1318,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1319,"updatedAt":1319},135,"nvidia-logo-horz.png",1070,601,{"large":1294,"small":1300,"medium":1305,"thumbnail":1311},{"ext":18,"url":1295,"hash":1296,"mime":19,"name":1297,"path":15,"size":1298,"width":640,"height":1299},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/large_nvidia_logo_horz_e2054e7730.png","large_nvidia_logo_horz_e2054e7730","large_nvidia-logo-horz.png",39.87,562,{"ext":18,"url":1301,"hash":1302,"mime":19,"name":1303,"path":15,"size":1304,"width":648,"height":1034},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_nvidia_logo_horz_e2054e7730.png","small_nvidia_logo_horz_e2054e7730","small_nvidia-logo-horz.png",14.82,{"ext":18,"url":1306,"hash":1307,"mime":19,"name":1308,"path":15,"size":1309,"width":655,"height":1310},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/medium_nvidia_logo_horz_e2054e7730.png","medium_nvidia_logo_horz_e2054e7730","medium_nvidia-logo-horz.png",25.1,421,{"ext":18,"url":1312,"hash":1313,"mime":19,"name":1314,"path":15,"size":1315,"width":589,"height":1046},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_nvidia_logo_horz_e2054e7730.png","thumbnail_nvidia_logo_horz_e2054e7730","thumbnail_nvidia-logo-horz.png",6.41,"nvidia_logo_horz_e2054e7730",8.64,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/nvidia_logo_horz_e2054e7730.png","2024-10-21T16:21:43.111Z",{"id":415,"variation":595,"button":1321},[1322],{"id":1323,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1324,"newWindow":8,"downloadable":15,"shape":15},73,"https://www.nvidia.com/en-us/","-168",{"id":247,"name":1327,"description":1328,"createdAt":1329,"updatedAt":1330,"publishedAt":1331,"url_path_id":1332,"logo":1333,"website":1353,"url_path":1358},"Arizona State University","\u003Cp>Openings:\u003C/p>\u003Col style=\"list-style-type:decimal;\">\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://apply.interfolio.com/156770\">Professor (All Ranks) in Microelectronics\u003C/a>\u003C/li>\u003C/ol>","2024-10-21T16:27:22.029Z","2024-10-26T20:56:24.414Z","2024-10-21T16:27:23.897Z","210",{"id":1334,"name":1335,"alternativeText":15,"caption":15,"width":1336,"height":1337,"formats":1338,"hash":1349,"ext":18,"mime":19,"size":1350,"url":1351,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1352,"updatedAt":1352},130,"images (4).png",512,98,{"small":1339,"thumbnail":1344},{"ext":18,"url":1340,"hash":1341,"mime":19,"name":1342,"path":15,"size":1343,"width":648,"height":766},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_images_4_722bb37608.png","small_images_4_722bb37608","small_images (4).png",33.41,{"ext":18,"url":1345,"hash":1346,"mime":19,"name":1347,"path":15,"size":1348,"width":589,"height":539},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_images_4_722bb37608.png","thumbnail_images_4_722bb37608","thumbnail_images (4).png",13.53,"images_4_722bb37608",6.12,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/images_4_722bb37608.png","2024-10-21T16:21:42.665Z",{"id":1055,"variation":595,"button":1354},[1355],{"id":1356,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1357,"newWindow":15,"downloadable":15,"shape":15},74,"https://www.asu.edu/","-169",{"id":509,"name":1360,"description":1361,"createdAt":1362,"updatedAt":1363,"publishedAt":1364,"url_path_id":1365,"logo":1366,"website":1386,"url_path":1390},"University of Wisconsin","\u003Cp>Openings:\u003C/p>\u003Col style=\"list-style-type:decimal;\">\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://jobs.wisc.edu/jobs/professor-open-rank-in-electrical-computer-engineering-ai-for-chip-design-madison-wisconsin-united-states\">Professor (open rank) in Electrical & Computer Engineering - AI for Chip Design\u003C/a>\u003C/li>\u003C/ol>\u003Cp> \u003C/p>\u003Cp> \u003C/p>","2024-10-21T16:28:02.562Z","2024-10-26T20:56:56.929Z","2024-10-21T16:28:04.775Z","211",{"id":1367,"name":1368,"alternativeText":15,"caption":15,"width":1369,"height":1370,"formats":1371,"hash":1383,"ext":18,"mime":19,"size":180,"url":1384,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1385,"updatedAt":1385},132,"vert-w-crest-logo-web-digital-color.png",600,400,{"small":1372,"thumbnail":1378},{"ext":18,"url":1373,"hash":1374,"mime":19,"name":1375,"path":15,"size":1376,"width":648,"height":1377},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_vert_w_crest_logo_web_digital_color_beb0805fb0.png","small_vert_w_crest_logo_web_digital_color_beb0805fb0","small_vert-w-crest-logo-web-digital-color.png",62.38,333,{"ext":18,"url":1379,"hash":1380,"mime":19,"name":1381,"path":15,"size":1382,"width":1165,"height":622},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_vert_w_crest_logo_web_digital_color_beb0805fb0.png","thumbnail_vert_w_crest_logo_web_digital_color_beb0805fb0","thumbnail_vert-w-crest-logo-web-digital-color.png",20.47,"vert_w_crest_logo_web_digital_color_beb0805fb0","https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/vert_w_crest_logo_web_digital_color_beb0805fb0.png","2024-10-21T16:21:42.813Z",{"id":520,"variation":595,"button":1387},[1388],{"id":233,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1389,"newWindow":8,"downloadable":15,"shape":15},"https://www.wisc.edu/","-170",{"id":200,"name":1392,"description":45,"createdAt":1393,"updatedAt":1394,"publishedAt":1395,"url_path_id":1396,"logo":1397,"website":1425,"url_path":1429},"Villanova University","2024-10-26T11:20:53.250Z","2024-10-26T11:20:55.579Z","2024-10-26T11:20:55.572Z","212",{"id":1046,"name":1398,"alternativeText":15,"caption":15,"width":1246,"height":1399,"formats":1400,"hash":1421,"ext":760,"mime":763,"size":1422,"url":1423,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1424,"updatedAt":1424},"image_1579638630.no.size.img.jpg",960,{"large":1401,"small":1406,"medium":1411,"thumbnail":1416},{"ext":760,"url":1402,"hash":1403,"mime":763,"name":1404,"path":15,"size":1405,"width":640,"height":655},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/large_image_1579638630_no_size_img_0c4aefb873.jpg","large_image_1579638630_no_size_img_0c4aefb873","large_image_1579638630.no.size.img.jpg",34.67,{"ext":760,"url":1407,"hash":1408,"mime":763,"name":1409,"path":15,"size":1410,"width":648,"height":1079},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_image_1579638630_no_size_img_0c4aefb873.jpg","small_image_1579638630_no_size_img_0c4aefb873","small_image_1579638630.no.size.img.jpg",13.1,{"ext":760,"url":1412,"hash":1413,"mime":763,"name":1414,"path":15,"size":1415,"width":655,"height":1028},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/medium_image_1579638630_no_size_img_0c4aefb873.jpg","medium_image_1579638630_no_size_img_0c4aefb873","medium_image_1579638630.no.size.img.jpg",22.85,{"ext":760,"url":1417,"hash":1418,"mime":763,"name":1419,"path":15,"size":1420,"width":621,"height":622},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_image_1579638630_no_size_img_0c4aefb873.jpg","thumbnail_image_1579638630_no_size_img_0c4aefb873","thumbnail_image_1579638630.no.size.img.jpg",3.51,"image_1579638630_no_size_img_0c4aefb873",49.04,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/image_1579638630_no_size_img_0c4aefb873.jpg","2024-10-26T11:20:33.114Z",{"id":1133,"variation":595,"button":1426},[1427],{"id":16,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1428,"newWindow":15,"downloadable":15,"shape":15},"https://www1.villanova.edu/university.html","-171",{"id":324,"name":1431,"description":45,"createdAt":1432,"updatedAt":1433,"publishedAt":1434,"url_path_id":1435,"logo":1436,"website":1450,"url_path":1455},"Syracuse University","2024-10-26T18:34:30.431Z","2024-10-26T18:35:05.768Z","2024-10-26T18:35:05.761Z","213",{"id":1437,"name":1438,"alternativeText":15,"caption":15,"width":1439,"height":649,"formats":1440,"hash":1446,"ext":18,"mime":19,"size":1447,"url":1448,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1449,"updatedAt":1449},139,"images (5).png",384,{"thumbnail":1441},{"ext":18,"url":1442,"hash":1443,"mime":19,"name":1444,"path":15,"size":1445,"width":589,"height":582},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_images_5_292bd7738d.png","thumbnail_images_5_292bd7738d","thumbnail_images (5).png",12.99,"images_5_292bd7738d",4.92,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/images_5_292bd7738d.png","2024-10-26T18:34:09.860Z",{"id":212,"variation":595,"button":1451},[1452],{"id":1453,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1454,"newWindow":8,"downloadable":15,"shape":15},77,"https://www.syracuse.edu/","-172",{"pagination":1457},{"page":5,"pageSize":324,"pageCount":27,"total":102},{"id":200,"heading":262,"pageHeader":1459,"sections":1461},{"id":200,"description":1460,"showPageHeader":8,"backgroundColor":49,"image":15}," ",[1462],{"id":96,"__component":1463,"componentVariation":1464,"contactsVariation":1465,"styles":15,"header":15,"sessionsGroup":1466},"content.sessions","Sessions Base","Card Contact Base",[1467],{"id":96,"groupTitle":15,"sessions":1468},[1469,1479,1489,1500,1510,1520,1531,1542,1552],{"id":934,"session":1470},{"id":934,"title":1471,"teaser":1472,"body":45,"createdAt":1473,"updatedAt":1474,"publishedAt":1475,"url_path_id":1476,"contacts":1477,"url_path":1478},"Exploring Attack Vectors and Resilient Defense Strategies in Microelectronics  A Special Session on Hardware Security","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(83,127,154);\">\u003Cstrong>Monday | October 28, 2024 | 10:00 - 12:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp>In this dedicated session, we delve into five pivotal talks concerning hardware security. The session encompasses:\u003C/p>\u003Col style=\"list-style-type:decimal;\">\u003Cli>Investigation into attacks on quantum random access memory\u003C/li>\u003Cli>Enhancing security in the NAND Flash memory  supply chain\u003C/li>\u003Cli>The utilization of permissioned blockchains for supply chain management\u003C/li>\u003Cli>Introduction of a novel  method for detecting hardware Trojans in manufactured microelectronics\u003C/li>\u003Cli>Harnessing random self-reducibility  to combat physical attacks on microelectronics\u003C/li>\u003C/ol>\u003Cdiv class=\"raw-html-embed\">\u003Cbr>\n\u003Cstyle>\n.button {\n  background-color: #027AA7;\n  border: none;\n  color: white;\n  padding: 15px 32px;\n  text-align: center;\n  text-decoration: none;\n  display: inline-block;\n  font-size: 16px;\n  margin: 4px 2px;\n  cursor: pointer;\n  position: absolute;\n  left: 50%;\n  transform: translateX(-50%);\n}\n\u003C/style>\n\u003Ca href=\"https://2024.iccad.com/ss5\" class=\"button\">Learn More\u003C/a>\n\u003Cbr>\u003C/div>","2024-07-12T13:37:09.205Z","2024-08-23T12:46:20.154Z","2024-07-12T13:37:11.034Z","151",[],"-118",{"id":539,"session":1480},{"id":539,"title":1481,"teaser":1482,"body":45,"createdAt":1483,"updatedAt":1484,"publishedAt":1485,"url_path_id":1486,"contacts":1487,"url_path":1488},"The Dawn of Domain-Specific Hardware System for Autonomous Machines","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(83,127,154);\">\u003Cstrong>Monday | October 28, 2024 | 10:00 - 12:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">At the core of the transformative Autonomy Economy lies the crucial technology of Autonomous  Machine Computing (AMC). This essential technology stack enables a wide array of autonomous machine form factors,  including intelligent vehicles, autonomous drones, delivery robots, home service robots, agricultural robots, industrial  robots, and many others yet to be conceptualized. AMC encompasses various technical domains such as sensing  technologies, computing technologies, communication technologies, autonomous machine algorithms, and aspects of  reliability and security. Currently, AMC is in a continuous state of evolution and definition. \u003C/p>\u003Cdiv class=\"raw-html-embed\">\u003Cbr>\n\u003Cstyle>\n.button {\n  background-color: #027AA7;\n  border: none;\n  color: white;\n  padding: 15px 32px;\n  text-align: center;\n  text-decoration: none;\n  display: inline-block;\n  font-size: 16px;\n  margin: 4px 2px;\n  cursor: pointer;\n  position: absolute;\n  left: 50%;\n  transform: translateX(-50%);\n}\n\u003C/style>\n\u003Ca href=\"https://2024.iccad.com/ss6\" class=\"button\">Learn More\u003C/a>\n\u003Cbr>\u003C/div>","2024-07-12T13:54:31.169Z","2024-08-23T12:45:33.270Z","2024-07-12T13:54:33.033Z","161",[],"-127",{"id":172,"session":1490},{"id":172,"title":1491,"teaser":1492,"body":1493,"createdAt":1494,"updatedAt":1495,"publishedAt":1496,"url_path_id":1497,"contacts":1498,"url_path":1499},"Computing over Encrypted Data: Novel Acceleration of Fully Homomorphic Encryption on Hardware Platforms","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(83,127,154);\">\u003Cstrong>Monday | October 28, 2024 | 10:00 - 12:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">Fully Homomorphic Encryption (FHE) has drawn significant attention from various communities recently as it can process computing over encrypted data. On the other side, however, the practical deploying of FHE in actual applications like machine learning is greatly hindered by its sophisticated operations and extraordinary-large computational complexity. Various strategies have been proposed by the research community to facilitate FHE's smooth deploying in practical applications, and more recently, building efficient accelerators for FHE on different hardware platforms like FPGA/GPU.\u003C/p>","\u003Cp style=\"text-align:justify;\">At the same time, many promising FHE schemes have been proposed and the research community is striving to finalize an ideal solution for FHE's practical usage. In either case, efficient hardware accelerations for FHE are of great interest to the community. Following this trend, this special session aims to deliver novel acceleration techniques and approaches for those promising FHE schemes to the ICCAD community, covering hardware acceleration for FHE encryption, novel implementation of FHE's key arithmetic component, efficient design of FHE bootstrapping, and new computation flow techniques for FHE.\u003C/p>","2024-08-23T13:05:39.862Z","2024-08-23T13:05:41.624Z","2024-08-23T13:05:41.613Z","194",[],"-155",{"id":227,"session":1501},{"id":227,"title":1502,"teaser":1503,"body":45,"createdAt":1504,"updatedAt":1505,"publishedAt":1506,"url_path_id":1507,"contacts":1508,"url_path":1509},"Advancing AI: Cross-disciplinary Insights into Next-Gen Tools, Tech & Architectures","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(83,127,154);\">\u003Cstrong>Monday | October 28, 2024 | 13:30 - 15:30\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">We are excited to propose a special session on \"AI Accelerators\" for the upcoming ICCAD conference. This session,  developed in collaboration with experts from both industries, including leaders like Nvidia and academia, is designed to  comprehensively explore the full-stack technologies and methodologies at the forefront of AI acceleration. Organized into four  insightful talks, it will cover three pivotal aspects of AI accelerator technology: First, we will examine the role of large language  models (LLMs) in enhancing electronic design automation (EDA) tools specifically developed for AI accelerator chips. This  discussion aims to demonstrate how LLMs can revolutionize design methodologies and optimization processes. Second, the  session will highlight critical enabling technologies including Photonics and Emerging Memories. These technologies are crucial  for the development of advanced AI accelerators, providing the necessary infrastructure to support next-generation  computational needs. Third, we will delve into cutting-edge architectures with a focus on Computer-in-Memory (CIM) and Spiking  Neural Networks (SNN). These architectures represent innovative approaches to hardware design, promising significant  improvements in performance and efficiency. It promises to be highly relevant and welcomed by ICCAD participants, appealing  to a broad spectrum of the conference's audience, from researchers and engineers to industry leaders and innovators. Our  collaborative approach, integrating insights from both the industrial and academic sectors, ensures a rich dialogue and a  comprehensive exploration of the state-of-the-art in AI accelerator technology.\u003C/p>\u003Cdiv class=\"raw-html-embed\">\u003Cbr>\n\u003Cstyle>\n.button {\n  background-color: #027AA7;\n  border: none;\n  color: white;\n  padding: 15px 32px;\n  text-align: center;\n  text-decoration: none;\n  display: inline-block;\n  font-size: 16px;\n  margin: 4px 2px;\n  cursor: pointer;\n  position: absolute;\n  left: 50%;\n  transform: translateX(-50%);\n}\n\u003C/style>\n\u003Ca href=\"https://2024.iccad.com/ss1\" class=\"button\">Learn More\u003C/a>\n\u003Cbr>\u003C/div>","2024-07-11T21:43:46.366Z","2024-08-23T12:48:45.084Z","2024-07-11T21:43:48.036Z","107",[],"-80",{"id":102,"session":1511},{"id":102,"title":1512,"teaser":1513,"body":45,"createdAt":1514,"updatedAt":1515,"publishedAt":1516,"url_path_id":1517,"contacts":1518,"url_path":1519},"AI4HLS: New Frontiers in High-Level Synthesis Augmented with Artificial Intelligence","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(83,127,154);\">\u003Cstrong>Monday | October 28, 2024 | 13:30 - 15:30\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">Artificial intelligence (AI) and Machine Learning (ML) methods are profoundly changing design automation (DA). All areas of DA are  exploring AI-based approaches to improve the quality result. From system-level design to logic synthesis, placing, and routing, and all physical  layout methods, AI promises to identify optimal solutions while significantly reducing time-to-completion of the search. In this special session, we  specifically discuss the use of AI-enabled methods in High-Level Synthesis (HLS). While generative AI and large language models (LLMs) have the  potential of being revolutionary for HLS, thanks to their ability to generate register transfer-level (RTL) descriptions starting from natural language,  they need to be carefully evaluated when considering quality and verifiability of the resulting design, and the size of the design they can currently  deal with. Additionally, they are not the only potentially disruptive solution, as design space exploration and classical optimization methods in HLS  might greatly benefit from ML. This special session discusses the opportunities and challenges of augmenting HLS with AI, including LLMs,  prediction methods, and novel optimization approaches, and their impacts on the overall agile hardware design automation flow. \u003C/p>\u003Cdiv class=\"raw-html-embed\">\u003Cbr>\n\u003Cstyle>\n.button {\n  background-color: #027AA7;\n  border: none;\n  color: white;\n  padding: 15px 32px;\n  text-align: center;\n  text-decoration: none;\n  display: inline-block;\n  font-size: 16px;\n  margin: 4px 2px;\n  cursor: pointer;\n  position: absolute;\n  left: 50%;\n  transform: translateX(-50%);\n}\n\u003C/style>\n\u003Ca href=\"https://2024.iccad.com/ss2\" class=\"button\">Learn More\u003C/a>\n\u003Cbr>\u003C/div>","2024-07-12T12:41:25.608Z","2024-08-23T12:48:59.923Z","2024-07-12T12:41:27.898Z","117",[],"-89",{"id":1521,"session":1522},52,{"id":1521,"title":1523,"teaser":1524,"body":45,"createdAt":1525,"updatedAt":1526,"publishedAt":1527,"url_path_id":1528,"contacts":1529,"url_path":1530},"Towards Democratized and Reproducible AI for EDA Research: Open Datasets and Benchmarks in Various Aspects","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(83,127,154);\">\u003Cstrong>Monday | October 28, 2024 | 16:00 - 18:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">Artificial intelligence (AI) techniques have demonstrated remark able effectiveness in electronic design automation (EDA) and agile IC design. For such data-driven technology, the access to high quality, diverse, and representative circuit data is essential for both ML model development and evaluation. However, the lack of circuit data remains a long-standing and primary technical bottleneck. First, the lack of open datasets raises a high barrier to the devel opment of AI for EDA solutions. For ML model training, the label collection process can be highly time-consuming and resource demanding. Also, limited open-source circuit designs may not pro vide sufficient diversity in training, limiting the ML model perfor mance. Second, the lack of open benchmarks makes fair compar isons among different AI for EDA solutions highly challenging. It is difficult for truly outstanding AI solutions to stand out. \u003C/p>\u003Cp style=\"text-align:justify;\">Our special session (SS) delves into this long-lasting circuit data availability challenge by presenting four open-source works from different perspectives. Topics in our SS include 1) an RTL-to-GDS digital dataset and benchmark, 2) an analog circuit synthesis bench mark, 3) both dataset and benchmark about LLM-aided IC design, and 4) AI-assisted circuit data generation techniques and corre sponding datasets. They cover not only both digital and analog design, but also emerging techniques such as LLM-aided design and AI-generated circuit datasets. By releasing four latest explo rations to the public, we hope to contribute to more democratized and reproducible AI for EDA techniques. Specifically, open datasets will allow every researcher to train their AI solutions without an EDA license, and open benchmarks with a leaderboard will facilitate fair comparisons and encourage replications of AI solutions.\u003C/p>\u003Cdiv class=\"raw-html-embed\">\u003Cbr>\n\u003Cstyle>\n.button {\n  background-color: #027AA7;\n  border: none;\n  color: white;\n  padding: 15px 32px;\n  text-align: center;\n  text-decoration: none;\n  display: inline-block;\n  font-size: 16px;\n  margin: 4px 2px;\n  cursor: pointer;\n  position: absolute;\n  left: 50%;\n  transform: translateX(-50%);\n}\n\u003C/style>\n\u003Ca href=\"https://2024.iccad.com/ss7\" class=\"button\">Learn More\u003C/a>\n\u003Cbr>\u003C/div>","2024-07-12T14:14:00.273Z","2024-08-23T12:49:51.785Z","2024-07-12T14:14:01.889Z","171",[],"-136",{"id":1532,"session":1533},57,{"id":1532,"title":1534,"teaser":1535,"body":45,"createdAt":1536,"updatedAt":1537,"publishedAt":1538,"url_path_id":1539,"contacts":1540,"url_path":1541},"Exploring Quantum Technologies in Practical Applications","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(83,127,154);\">\u003Cstrong>Monday | October 28, 2024 | 16:00 - 18:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">This special session is dedicated to the exploration and challenge of applying quantum technologies in practical settings, with a particu lar focus on quantum optimization. The rapid evolution of quantum computing has predominantly been within academic realms, but the imperative now is to extend these advancements to industrial applications, thereby unveiling significant economic benefits. Our session aims to narrow the gap between academic theories and real world applications, broadening the understanding and utilization of quantum technologies for sustainable growth. For this purpose, we have invited esteemed experts from JPMorgan, QuEra, LBNL and FinQ Tech, who are innovators in their respective fields. This session will present four in-depth talks: LBNL will research on the specialized compiler for the quantum optimization tasks. JP Morgan will explore the applications of quantum optimization in the financial sector, demonstrating how quantum technologies can revolutionize traditional financial models. QuEra will delve into a graph learning based strategies for predicting the performance of maximum independent set program, a critical aspect of determine if there is quantum advantage by using the quantum optimization for the task. Lastly, FinQ Tech will discuss the optimization of the quantum optimization, highlighting its potential to solve complex optimization problems more effectively than classical algorithms and potentially adopted by energy sector. By fostering an interdis ciplinary dialogue, this session aims to accelerate the progress of quantum technologies, ensuring they can be foundational to various industry sectors. The collaboration between academia and industry is crucial in overcoming current technological challenges and un locking novel solutions to global issues. This initiative promises to catalyze the practical adoption of quantum technologies, shaping them as a pivotal force in modern scientific and economic land scapes. \u003C/p>\u003Cdiv class=\"raw-html-embed\">\u003Cbr>\n\u003Cstyle>\n.button {\n  background-color: #027AA7;\n  border: none;\n  color: white;\n  padding: 15px 32px;\n  text-align: center;\n  text-decoration: none;\n  display: inline-block;\n  font-size: 16px;\n  margin: 4px 2px;\n  cursor: pointer;\n  position: absolute;\n  left: 50%;\n  transform: translateX(-50%);\n}\n\u003C/style>\n\u003Ca href=\"https://2024.iccad.com/ss8\" class=\"button\">Learn More\u003C/a>\n\u003Cbr>\u003C/div>","2024-07-12T14:27:39.585Z","2024-08-23T12:50:03.877Z","2024-07-12T14:27:41.610Z","181",[],"-145",{"id":442,"session":1543},{"id":442,"title":1544,"teaser":1545,"body":45,"createdAt":1546,"updatedAt":1547,"publishedAt":1548,"url_path_id":1549,"contacts":1550,"url_path":1551},"Co-Designing NVM-based Systems for Machine Learning Applications","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(83,127,154);\">\u003Cstrong>Tuesday | October 29, 2024 | 13:00 - 14:30\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">The emergence of innovative non-volatile memory (NVM) technology has significantly changed the design of  intermittently powered embedded systems. NVM offers the opportunity to provide persistent data structures that  allow the system to maintain its state and data despite power shortages. However, NVM also presents new  challenges, such as wear and tear. At the same time, key memory parameters like read/write access times vary  greatly, which can lead to new trade-offs for customization in embedded systems design and for novel embedded  architectures in general. When NVM memories are deployed in an embedded system, this affects the entire  computing stack, from programming and operating systems to embedded systems architectures and micro architectures. This special session aims to demonstrate the new opportunities in embedded architectures with NVM  memories and how, in particular, embedded machine-learning applications may benefit. \u003C/p>\u003Cp style=\"text-align:justify;\">The team behind this ICCAD special session proposal offers a wide range of expertise, from software techniques to  embedded architectures and NVM technologies. It comprises researchers from six institutions in Taiwan, Germany,  the Netherlands, and the USA, offering diverse research perspectives from both academia and industry. \u003C/p>\u003Cdiv class=\"raw-html-embed\">\u003Cbr>\n\u003Cstyle>\n.button {\n  background-color: #027AA7;\n  border: none;\n  color: white;\n  padding: 15px 32px;\n  text-align: center;\n  text-decoration: none;\n  display: inline-block;\n  font-size: 16px;\n  margin: 4px 2px;\n  cursor: pointer;\n  position: absolute;\n  left: 50%;\n  transform: translateX(-50%);\n}\n\u003C/style>\n\u003Ca href=\"https://2024.iccad.com/ss3\" class=\"button\">Learn More\u003C/a>\n\u003Cbr>\u003C/div>","2024-07-12T12:55:34.300Z","2024-08-23T12:51:53.209Z","2024-07-12T12:55:35.725Z","127",[],"-98",{"id":280,"session":1553},{"id":280,"title":1554,"teaser":1555,"body":45,"createdAt":1556,"updatedAt":1557,"publishedAt":1558,"url_path_id":1559,"contacts":1560,"url_path":1561},"Delocalizing AI with Emerging Edge Intelligence (IoT/Internet)","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(83,127,154);\">\u003Cstrong>Tuesday | October 29, 2024 | 13:00 - 14:30\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">Advances in artificial intelligence (AI)are transforming science and technologies. However, the exploding computational demands of  the most powerful AI algorithms lead to serious energy pitfalls. This trend is further accelerated by the simultaneous move towards  trillions of intelligent edge devices. Several efforts are underway to address this challenge which includes in-memory computing,  neuromorphic computing, silicon photonics architecture, etc. In this special session, we intend to showcase five eminent research talks  covering circuit-level innovation, system-level optimization, network-level creativity, and algorithmic codesign for next-generation  edge-intelligence systems. A major goal of this session is to bring communities together embarking a pathway towards decentralizing  AI in edge infrastructure with secured and energy-efficient computing.\u003C/p>\u003Cdiv class=\"raw-html-embed\">\u003Cbr>\n\u003Cstyle>\n.button {\n  background-color: #027AA7;\n  border: none;\n  color: white;\n  padding: 15px 32px;\n  text-align: center;\n  text-decoration: none;\n  display: inline-block;\n  font-size: 16px;\n  margin: 4px 2px;\n  cursor: pointer;\n  position: absolute;\n  left: 50%;\n  transform: translateX(-50%);\n}\n\u003C/style>\n\u003Ca href=\"https://2024.iccad.com/ss4\" class=\"button\">Learn More\u003C/a>\n\u003Cbr>\u003C/div>","2024-07-12T13:18:17.863Z","2024-08-23T12:52:19.504Z","2024-07-12T13:18:19.759Z","140",[],"-109",{"data":1563,"meta":1564},{"id":200,"heading":262,"createdAt":267,"updatedAt":268,"publishedAt":269,"url_path_id":270,"url_path":273,"contentType":79},{},1778851353037]