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Boston is a fantastic student-oriented city, home to some of the best universities in the world.\u003C/p>\u003Cp style=\"margin-left:0px;\">The summer season is especially lively as MERL and Boston are teeming with researchers and visitors from all over the world.\u003C/p>","2024-12-03T21:20:01.452Z","2024-12-03T21:20:50.687Z","2024-12-03T21:20:50.679Z","113",{"id":1156,"name":1157,"alternativeText":15,"caption":15,"width":45,"height":815,"formats":15,"hash":1158,"ext":1159,"mime":866,"size":1160,"url":1161,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1162,"updatedAt":1162},83,"thumbnail_Mitsubishi_Electric_Logo_1_d2184a4b4a.jpg","thumbnail_Mitsubishi_Electric_Logo_1_d2184a4b4a_eb7080ac38",".jpg",7.31,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/thumbnail_Mitsubishi_Electric_Logo_1_d2184a4b4a_eb7080ac38.jpg","2024-12-03T21:20:46.218Z",{"id":644,"variation":1142,"button":1164},[1165],{"id":499,"label":1145,"size":824,"color":825,"style":15,"icon":826,"iconPosition":827,"url":1166,"newWindow":15,"downloadable":15,"shape":15},"https://www.merl.com/","-84",{"id":351,"name":1169,"description":1170,"createdAt":1171,"updatedAt":1172,"publishedAt":1173,"url_path_id":1174,"logo":1175,"website":1182,"url_path":1186},"Quanser","\u003Cp style=\"margin-left:0px;\">About Quanser – \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://acc2024.a2c2.org/sponsors-and-exhibitors/www.quanser.com\">\u003Cstrong>\u003Cu>www.quanser.com\u003C/u>\u003C/strong>\u003C/a>\u003C/p>\u003Cp style=\"margin-left:0px;\">Quanser is the world leader in innovative technology for engineering education and research. With a heritage in creating leading-edge platforms for controls, mechatronics, and robotics, Quanser has built a legacy over the past 35 years of transformational solutions that bring emerging technologies including autonomous robotics, IoT, self-driving, and virtual reality to students worldwide. Quanser is unique as the only commercial organization that offers a comprehensive, academically sound platform for delivering programs that push the boundaries of traditional engineering education and research. Through a wide network of academic partners and faculty equivalent researchers and course designers, Quanser works with institutions to solve the challenges of modern engineering as true colleagues as opposed to conventional vendors.\u003C/p>","2025-01-12T00:31:03.358Z","2025-01-12T00:31:05.327Z","2025-01-12T00:31:05.321Z","116",{"id":926,"name":1176,"alternativeText":15,"caption":15,"width":45,"height":1177,"formats":15,"hash":1178,"ext":1159,"mime":866,"size":1179,"url":1180,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1181,"updatedAt":1181},"thumbnail_Quanser_logo_low_res_011046dd52.jpg",82,"thumbnail_Quanser_logo_low_res_011046dd52_d4a8975404",2.32,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/thumbnail_Quanser_logo_low_res_011046dd52_d4a8975404.jpg","2025-01-12T00:30:28.544Z",{"id":203,"variation":1142,"button":1183},[1184],{"id":517,"label":1145,"size":824,"color":825,"style":15,"icon":826,"iconPosition":827,"url":1185,"newWindow":15,"downloadable":15,"shape":15},"https://www.quanser.com/","-86",{"id":338,"name":1188,"description":1189,"createdAt":1190,"updatedAt":1191,"publishedAt":1192,"url_path_id":1193,"logo":1194,"website":1220,"url_path":1224},"MathWorks","\u003Cp style=\"margin-left:0px;\">The MATLAB and Simulink product families are fundamental applied math and computational tools at the world's educational institutions. Adopted by more than 6,500 universities and colleges, MathWorks products accelerate the pace of learning, teaching, and research in engineering and science. MathWorks products also help prepare students for careers in industry worldwide, where the tools are widely used for data analysis, mathematical modeling, and algorithm development in collaborative research and new product development.  Application areas include data analytics, mechatronics, communication systems, image processing, computational finance, and computational biology.\u003C/p>","2025-01-12T00:33:31.600Z","2025-01-12T00:33:42.649Z","2025-01-12T00:33:42.643Z","117",{"id":1195,"name":1196,"alternativeText":15,"caption":15,"width":869,"height":1197,"formats":1198,"hash":1216,"ext":863,"mime":866,"size":1217,"url":1218,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1219,"updatedAt":1219},89,"large_Math_Works_Logo_1024x204_ffaa565ecf.jpeg",199,{"small":1199,"medium":1205,"thumbnail":1211},{"ext":863,"url":1200,"hash":1201,"mime":866,"name":1202,"path":15,"size":1203,"width":38,"height":1204},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/small_large_Math_Works_Logo_1024x204_ffaa565ecf_2b4cc396a3.jpeg","small_large_Math_Works_Logo_1024x204_ffaa565ecf_2b4cc396a3","small_large_Math_Works_Logo_1024x204_ffaa565ecf.jpeg",10.31,100,{"ext":863,"url":1206,"hash":1207,"mime":866,"name":1208,"path":15,"size":1209,"width":881,"height":1210},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/medium_large_Math_Works_Logo_1024x204_ffaa565ecf_2b4cc396a3.jpeg","medium_large_Math_Works_Logo_1024x204_ffaa565ecf_2b4cc396a3","medium_large_Math_Works_Logo_1024x204_ffaa565ecf.jpeg",16.94,149,{"ext":863,"url":1212,"hash":1213,"mime":866,"name":1214,"path":15,"size":1215,"width":45,"height":656},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/thumbnail_large_Math_Works_Logo_1024x204_ffaa565ecf_2b4cc396a3.jpeg","thumbnail_large_Math_Works_Logo_1024x204_ffaa565ecf_2b4cc396a3","thumbnail_large_Math_Works_Logo_1024x204_ffaa565ecf.jpeg",4.01,"large_Math_Works_Logo_1024x204_ffaa565ecf_2b4cc396a3",24.39,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/large_Math_Works_Logo_1024x204_ffaa565ecf_2b4cc396a3.jpeg","2025-01-12T00:33:26.907Z",{"id":164,"variation":1142,"button":1221},[1222],{"id":269,"label":1145,"size":824,"color":825,"style":15,"icon":826,"iconPosition":827,"url":1223,"newWindow":15,"downloadable":15,"shape":15},"https://www.mathworks.com/","-87",{"id":414,"name":1226,"description":1227,"createdAt":1228,"updatedAt":1229,"publishedAt":1230,"url_path_id":1231,"logo":1232,"website":1252,"url_path":1256},"MDPI","\u003Cp style=\"margin-left:0px;\">A pioneer in scholarly, open access publishing, MDPI has supported academic communities since 1996. Based in Basel, Switzerland, MDPI has the mission to foster open scientific exchange in all forms, across all disciplines. Our 437 diverse and open access journals, including 428 peer- reviewed journals and 9 conference journals, are supported by more than 295,000 academic experts who share our mission, values, and commitment to providing high-quality service for our authors. We serve scholars from around the world to ensure the latest research is freely available and all content is distributed under a Creative Commons Attribution License (CC BY).\u003C/p>","2025-01-12T00:35:15.712Z","2025-01-12T00:35:17.095Z","2025-01-12T00:35:17.087Z","118",{"id":1233,"name":1234,"alternativeText":15,"caption":15,"width":881,"height":1089,"formats":1235,"hash":1248,"ext":18,"mime":19,"size":1249,"url":1250,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1251,"updatedAt":1251},90,"medium_MDPI_company_logo_a8700b6065.png",{"small":1236,"thumbnail":1242},{"ext":18,"url":1237,"hash":1238,"mime":19,"name":1239,"path":15,"size":1240,"width":38,"height":1241},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/small_medium_MDPI_company_logo_a8700b6065_d9b3b3e019.png","small_medium_MDPI_company_logo_a8700b6065_d9b3b3e019","small_medium_MDPI_company_logo_a8700b6065.png",18.51,118,{"ext":18,"url":1243,"hash":1244,"mime":19,"name":1245,"path":15,"size":1246,"width":45,"height":1247},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/thumbnail_medium_MDPI_company_logo_a8700b6065_d9b3b3e019.png","thumbnail_medium_MDPI_company_logo_a8700b6065_d9b3b3e019","thumbnail_medium_MDPI_company_logo_a8700b6065.png",7.22,58,"medium_MDPI_company_logo_a8700b6065_d9b3b3e019",8.88,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/medium_MDPI_company_logo_a8700b6065_d9b3b3e019.png","2025-01-12T00:34:55.481Z",{"id":499,"variation":1142,"button":1253},[1254],{"id":139,"label":1145,"size":824,"color":825,"style":15,"icon":826,"iconPosition":827,"url":1255,"newWindow":15,"downloadable":15,"shape":15},"https://www.mdpi.com/","-88",{"id":131,"name":1258,"description":1259,"createdAt":1260,"updatedAt":1261,"publishedAt":1262,"url_path_id":1263,"logo":1264,"website":1278,"url_path":1282},"dSPACE","\u003Cp>dSPACE is a leading provider of simulation and validation solutions worldwide for developing networked, autonomous, and electrically powered vehicles. The company's range of end-to-end solutions are used particularly by automotive manufacturers and their suppliers to test the software and hardware components in their new vehicles long before a new model is allowed on the road. Not only is dSPACE a sought-after partner in vehicle development, but engineers also rely on our know-how at dSPACE when it comes to aerospace and industrial automation. Our portfolio ranges from end-to-end solutions for simulation and validation to engineering and consulting services as well as training and support. With approximately 2,200 employees worldwide, dSPACE is headquartered in Paderborn, Germany, has three project centers in Germany, and serves customers through regional dSPACE companies in the USA, the UK, France, Japan, China, Croatia, and South Korea.\u003C/p>","2025-01-17T15:21:12.931Z","2025-01-17T15:39:56.058Z","2025-01-17T15:39:56.051Z","324",{"id":209,"name":1265,"alternativeText":15,"caption":15,"width":1266,"height":1267,"formats":1268,"hash":1274,"ext":863,"mime":866,"size":1275,"url":1276,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1277,"updatedAt":1277},"dSPACE.jpeg",296,63,{"thumbnail":1269},{"ext":863,"url":1270,"hash":1271,"mime":866,"name":1272,"path":15,"size":1273,"width":45,"height":545},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/thumbnail_d_SPACE_c7242cae77.jpeg","thumbnail_d_SPACE_c7242cae77","thumbnail_dSPACE.jpeg",5.3,"d_SPACE_c7242cae77",6.34,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/d_SPACE_c7242cae77.jpeg","2025-01-17T15:20:09.191Z",{"id":517,"variation":1142,"button":1279},[1280],{"id":296,"label":1145,"size":824,"color":825,"style":15,"icon":826,"iconPosition":827,"url":1281,"newWindow":55,"downloadable":15,"shape":15},"https://www.dspace.com/en/inc/home.cfm","-294",{"id":396,"name":1284,"description":1285,"createdAt":1286,"updatedAt":1287,"publishedAt":1288,"url_path_id":1289,"logo":1290,"website":1298,"url_path":1302},"GM","\u003Cp>\u003Cspan style=\"background-color:oklch(100);color:oklch(0.200);\">We envision a future of zero crashes, zero emissions and zero congestion, and we have committed ourselves to leading the way toward this future. General Motors has been pushing the limits of transportation and technology for over 100 years. Today, we are in the midst of a transportation revolution. And we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow. At General Motors, innovation is our north star. As the first automotive company to mass-produce an affordable electric car, and the first to develop an electric starter and air bags, GM has always pushed the limits of engineering. We are General Motors. We transformed how the world moved through the last century. And we’re determined to do it again as we redefine mobility to serve our customers and shareholders and solve societal challenges.\u003C/span>\u003C/p>","2025-01-23T21:35:39.609Z","2025-01-23T21:35:41.629Z","2025-01-23T21:35:41.622Z","326",{"id":1291,"name":1292,"alternativeText":15,"caption":15,"width":1293,"height":1293,"formats":15,"hash":1294,"ext":863,"mime":866,"size":1295,"url":1296,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1297,"updatedAt":1297},96,"thumbnail_GM_logo_3a1557d988.jpeg",156,"thumbnail_GM_logo_3a1557d988_6554944dd1",4.34,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/thumbnail_GM_logo_3a1557d988_6554944dd1.jpeg","2025-01-23T21:35:08.017Z",{"id":269,"variation":1142,"button":1299},[1300],{"id":112,"label":1145,"size":824,"color":825,"style":15,"icon":826,"iconPosition":827,"url":1301,"newWindow":15,"downloadable":15,"shape":15},"https://www.gm.com/","-295",{"id":145,"name":1304,"description":1305,"createdAt":1306,"updatedAt":1307,"publishedAt":1308,"url_path_id":1309,"logo":1310,"website":1316,"url_path":1320},"Halliburton","\u003Cp style=\"margin-left:0px;\">Halliburton is one of the world’s leading providers of products and services to the energy industry. Founded in 1919, we create innovative technologies, products, and services that help our customers maximize their value throughout the life cycle of an asset and advance a sustainable energy future. We combine technology, services and execution expertise to assist our customers with hydrocarbons location, geological data management, drilling and formation evaluation, well construction and completion, and production optimization throughout the life of their asset.\u003C/p>","2025-02-27T02:37:33.554Z","2025-02-27T02:37:40.638Z","2025-02-27T02:37:40.630Z","334",{"id":1028,"name":1311,"alternativeText":15,"caption":15,"width":45,"height":388,"formats":15,"hash":1312,"ext":18,"mime":19,"size":1313,"url":1314,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1315,"updatedAt":1315},"thumbnail_Halliburton_Logo_5e3f947d01.png","thumbnail_Halliburton_Logo_5e3f947d01_7668326667",1.37,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/thumbnail_Halliburton_Logo_5e3f947d01_7668326667.png","2025-02-27T02:37:07.771Z",{"id":112,"variation":1142,"button":1317},[1318],{"id":552,"label":1145,"size":824,"color":825,"style":15,"icon":826,"iconPosition":827,"url":1319,"newWindow":15,"downloadable":15,"shape":15},"https://www.halliburton.com/","-300",{"id":302,"name":1322,"description":1323,"createdAt":1324,"updatedAt":1325,"publishedAt":1326,"url_path_id":1327,"logo":1328,"website":1361,"url_path":1365},"Franklin Open","\u003Cp style=\"margin-left:0px;\">\u003Cspan style=\"color:rgb(0,0,0);\">Franklin Open is a peer-reviewed, gold open-access journal that focuses on the fields of engineering and applied mathematics. Franklin Open is a partner journal to the longstanding Journal of The Franklin Institute, which has been publishing scientific research and discoveries for nearly 200 years. The journal was created to not only continue that legacy, but to provide a sustainable platform for new research to be widely disseminated from all voices in the scientific and academic communities. Franklin Open aims to publish high-quality manuscripts under such topics as, Complex Networks & Dynamic Systems, Control Engineering, Robotics & General Dynamic Systems, Energy & Power Systems, Information & Communications, Data Science & Artificial Intelligence, Neural Networks & Learning Systems, Speech, Image, & Signal Processing, and Epidemiology & Evolutionary Systems. We welcome new submissions as well as special issue proposals through our website. If you have any questions, please contact \u003C/span>\u003Ca href=\"mailto:franklinopen@fi.edu\">\u003Cspan style=\"color:rgb(70,120,134);\">\u003Cstrong>\u003Cu>franklinopen@fi.edu\u003C/u>\u003C/strong>\u003C/span>\u003C/a>\u003Cspan style=\"color:rgb(0,0,0);\">.\u003C/span>\u003C/p>","2025-02-27T15:57:53.785Z","2025-05-14T21:09:52.777Z","2025-02-27T15:57:55.775Z","335",{"id":1059,"name":1329,"alternativeText":15,"caption":15,"width":1330,"height":1331,"formats":1332,"hash":1357,"ext":1159,"mime":866,"size":1358,"url":1359,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1360,"updatedAt":1360},"Franklin Open LOGO.jpg",2480,688,{"large":1333,"small":1339,"medium":1345,"thumbnail":1351},{"ext":1159,"url":1334,"hash":1335,"mime":866,"name":1336,"path":15,"size":1337,"width":869,"height":1338},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/large_Franklin_Open_LOGO_0cecf262d9.jpg","large_Franklin_Open_LOGO_0cecf262d9","large_Franklin Open LOGO.jpg",28.72,277,{"ext":1159,"url":1340,"hash":1341,"mime":866,"name":1342,"path":15,"size":1343,"width":38,"height":1344},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/small_Franklin_Open_LOGO_0cecf262d9.jpg","small_Franklin_Open_LOGO_0cecf262d9","small_Franklin Open LOGO.jpg",11.2,139,{"ext":1159,"url":1346,"hash":1347,"mime":866,"name":1348,"path":15,"size":1349,"width":881,"height":1350},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/medium_Franklin_Open_LOGO_0cecf262d9.jpg","medium_Franklin_Open_LOGO_0cecf262d9","medium_Franklin Open LOGO.jpg",19.7,208,{"ext":1159,"url":1352,"hash":1353,"mime":866,"name":1354,"path":15,"size":1355,"width":45,"height":1356},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/thumbnail_Franklin_Open_LOGO_0cecf262d9.jpg","thumbnail_Franklin_Open_LOGO_0cecf262d9","thumbnail_Franklin Open LOGO.jpg",4.23,68,"Franklin_Open_LOGO_0cecf262d9",81.38,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/Franklin_Open_LOGO_0cecf262d9.jpg","2025-02-27T15:57:50.459Z",{"id":188,"variation":1142,"button":1362},[1363],{"id":757,"label":1145,"size":824,"color":825,"style":15,"icon":826,"iconPosition":827,"url":1364,"newWindow":15,"downloadable":15,"shape":15},"https://www.sciencedirect.com/journal/franklin-open","-301",{"id":644,"name":1367,"description":1368,"createdAt":1369,"updatedAt":1370,"publishedAt":1371,"url_path_id":1372,"logo":1373,"website":1404,"url_path":1408},"Lockheed Martin","\u003Cp>Headquartered in Bethesda, Maryland, Lockheed Martin, is a global security and aerospace company that employs approximately 116,000 people worldwide and is principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products, and services. We solve complex challenges, advance scientific discovery, and deliver innovative solutions to help our customers keep people safe. With a focus on the U.S. National Defense Strategy, we are developing, innovating, and integrating hypersonic capabilities that travel Mach 5 or more, directed energy that travels at the speed of light, and autonomous systems used for a variety of lifesaving military and commercial applications. \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://lockheedmartin.com/aeronautics\">Lockheed Martin Aeronautics\u003C/a> develops high-performance combat, air mobility and reconnaissance and surveillance aircraft. We also provide world-class training, focused logistics support, and advanced targeting and navigation technologies to enable the right people with the right skills to be in the right place at the right time with the right information to accomplish their missions. \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://lockheedmartin.com/space\">Lockheed Martin Space\u003C/a> builds satellites and spacecraft that do amazing things in space for government and commercial customers. Lockheed Martin-built satellites give earlier warning of severe weather, connect troops on the battlefield, and deliver GPS directions to a billion people worldwide. As we look to the future, we are driving innovations to help our customers do even more in orbit. That is why we are designing smarter satellites that operate like smartphones in the sky, with apps that can be updated in orbit so they can adapt as mission needs on the ground change. Within Lockheed Martin, the \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://lockheedmartin.com/atl\">Advanced Technology Laboratories\u003C/a> is a research and development center for scientific advancement in the areas of autonomy, robotics, artificial intelligence, command & control, human-machine symbiosis, spectrum operations, hypersonics and cyber. Careers page: \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://lockheedmartin.com/careers.\">https://lockheedmartin.com/careers.\u003C/a> \u003C/p>","2025-04-26T01:34:41.209Z","2025-07-02T17:07:12.122Z","2025-04-26T01:34:50.770Z","351",{"id":808,"name":1374,"alternativeText":15,"caption":15,"width":1375,"height":1376,"formats":1377,"hash":1400,"ext":863,"mime":866,"size":1401,"url":1402,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1403,"updatedAt":1403},"Lockheed-Martin-Logo-1200x214.jpeg",1200,214,{"large":1378,"small":1384,"medium":1389,"thumbnail":1395},{"ext":863,"url":1379,"hash":1380,"mime":866,"name":1381,"path":15,"size":1382,"width":869,"height":1383},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/large_Lockheed_Martin_Logo_1200x214_ccaa8c8794.jpeg","large_Lockheed_Martin_Logo_1200x214_ccaa8c8794","large_Lockheed-Martin-Logo-1200x214.jpeg",19.54,178,{"ext":863,"url":1385,"hash":1386,"mime":866,"name":1387,"path":15,"size":1388,"width":38,"height":1195},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/small_Lockheed_Martin_Logo_1200x214_ccaa8c8794.jpeg","small_Lockheed_Martin_Logo_1200x214_ccaa8c8794","small_Lockheed-Martin-Logo-1200x214.jpeg",8.38,{"ext":863,"url":1390,"hash":1391,"mime":866,"name":1392,"path":15,"size":1393,"width":881,"height":1394},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/medium_Lockheed_Martin_Logo_1200x214_ccaa8c8794.jpeg","medium_Lockheed_Martin_Logo_1200x214_ccaa8c8794","medium_Lockheed-Martin-Logo-1200x214.jpeg",14.23,134,{"ext":863,"url":1396,"hash":1397,"mime":866,"name":1398,"path":15,"size":1399,"width":45,"height":256},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/thumbnail_Lockheed_Martin_Logo_1200x214_ccaa8c8794.jpeg","thumbnail_Lockheed_Martin_Logo_1200x214_ccaa8c8794","thumbnail_Lockheed-Martin-Logo-1200x214.jpeg",3.43,"Lockheed_Martin_Logo_1200x214_ccaa8c8794",24.28,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/Lockheed_Martin_Logo_1200x214_ccaa8c8794.jpeg","2025-04-26T01:34:36.801Z",{"id":552,"variation":1142,"button":1405},[1406],{"id":358,"label":1145,"size":824,"color":825,"style":15,"icon":826,"iconPosition":827,"url":1407,"newWindow":55,"downloadable":15,"shape":15},"https://lockheedmartin.com/","-317",{"id":289,"name":1082,"description":1410,"createdAt":1411,"updatedAt":1412,"publishedAt":1413,"url_path_id":1414,"logo":1415,"website":1416,"url_path":1420},"\u003Cp style=\"margin-left:0px;\">SIAM publishes textbooks and monographs in print and electronic format. Visit our booth to browse our titles, all available at discounted conference pricing. SIAM partners with authors to publish books of outstanding quality and accessible pricing. If you’re interested in writing a book, please contact the SIAM Executive Editor \u003Ca href=\"mailto:greenspan@siam.org\">\u003Cstrong>\u003Cu>greenspan@siam.org\u003C/u>\u003C/strong>\u003C/a>\u003Cstrong>\u003Cu>.\u003C/u>\u003C/strong>\u003C/p>","2025-05-28T03:16:18.871Z","2025-05-28T03:18:49.090Z","2025-05-28T03:18:49.082Z","355",{"id":131,"name":1088,"alternativeText":15,"caption":15,"width":1089,"height":1090,"formats":15,"hash":1091,"ext":18,"mime":19,"size":1092,"url":1093,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1094,"updatedAt":1095},{"id":638,"variation":1142,"button":1417},[1418],{"id":433,"label":1145,"size":824,"color":825,"style":15,"icon":826,"iconPosition":827,"url":1419,"newWindow":55,"downloadable":15,"shape":15},"https://www.siam.org/Publications/Books","-320",{"pagination":1422},{"page":5,"pageSize":164,"pageCount":5,"total":289},{"id":499,"heading":558,"pageHeader":1424,"sections":1425},{"id":499,"description":15,"showPageHeader":55,"backgroundColor":58,"image":15},[1426],{"id":177,"__component":1427,"componentVariation":1428,"contactsVariation":1429,"styles":15,"header":15,"sessionsGroup":1430},"content.sessions","Sessions Sidebar Navigation Contacts Bottom","Card Contact Full",[1431,1464,1518],{"id":230,"groupTitle":1432,"sessions":1433},"Half-Day Workshops (Morning Session)",[1434,1445],{"id":198,"session":1435},{"id":574,"title":1436,"teaser":1437,"body":1438,"createdAt":1439,"updatedAt":1440,"publishedAt":1441,"url_path_id":1442,"contacts":1443,"url_path":1444},"W01: Implicit Bias & Microaggressions Workshop","\u003Cp>\u003Cspan style=\"font-size:1rem;\">\u003Ci>Note: the registration fee is waived for this Workshop, and it has limited capacity\u003C/i>\u003C/span>\u003C/p>\u003Cp>\u003Cstrong>Time:\u003C/strong> 9:00am – 11:30am.\u003C/p>\u003Cp>\u003Cstrong>Location:\u003C/strong> Governor’s Square 15.\u003C/p>\u003Cp>\u003Cstrong>Organizers:\u003C/strong>\u003Cbr>\u003Cimg class=\"image_resized\" style=\"width:25%;\" src=\"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/ACC_short_logo_2d62eb43c1.png\" alt=\"ACC - short logo.png\" srcset=\"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/thumbnail_ACC_short_logo_2d62eb43c1.png 245w,https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/small_ACC_short_logo_2d62eb43c1.png 500w,https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/medium_ACC_short_logo_2d62eb43c1.png 750w,https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/large_ACC_short_logo_2d62eb43c1.png 1000w,\" sizes=\"100vw\"> \u003C/p>\u003Cp>\u003Cimg class=\"image_resized\" style=\"width:25%;\" src=\"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/advancegeo_partnership_logo_v17_65da8dfbcb.png\" alt=\"advancegeo_partnership_logo.v17.png\" srcset=\"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/thumbnail_advancegeo_partnership_logo_v17_65da8dfbcb.png 245w,\" sizes=\"100vw\">\u003C/p>\u003Cp>\u003Cstrong>Abstract: \u003C/strong>This workshop will invite participants to engage in a confidential, respectful environment in which to learn about the concept of implicit biases and they ways in which those biases operate. \u003C/p>","\u003Cp>In addition, this training will inform the learner of how unconscious bias and microaggressions impact the workplace, interactions with our colleagues, and productivity. The training will also provide resources and strategies to empower participants to recognize unconscious bias and microaggressions and respond to them in the workplace.\u003Cbr>\u003Cbr>All participants will be provided with handouts and links to resources related to the issues discussed. Participants will be asked to complete a short survey at the end of the workshop to provide feedback to the facilitators.\u003C/p>","2025-01-13T16:50:48.857Z","2025-06-27T16:13:54.974Z","2025-01-13T16:50:50.354Z","213",[],"-183",{"id":481,"session":1446},{"id":481,"title":1447,"teaser":1448,"body":1449,"createdAt":1450,"updatedAt":1451,"publishedAt":1452,"url_path_id":1453,"contacts":1454,"url_path":1463},"W02: Computation for Real World Control Systems","\u003Cp style=\"margin-left:0px;\">\u003Cstrong>Time:\u003C/strong> 8:00am – 12:00pm.\u003C/p>\u003Cp style=\"margin-left:0px;\">\u003Cstrong>Location:\u003C/strong> Plaza Court 6.\u003C/p>\u003Cp>\u003Cstrong>Abstract:\u003C/strong> Computation is an essential component of implementing any real-world control system, but the details of how to make this work are often either left to the individual contributors to figure out or handed off to turn-key vendors.\u003C/p>","\u003Cp>This workshop intends to provide insights, methods, and concrete examples into three major pieces of this subject. First, the workshop will present recent tutorial material (ACC 2023) from the  author on real-time computing issues for control systems. This material explains the principal factors affecting the four computing chains inside a feedback system. After this overview, the workshop will spend time on an often-neglected area of computation for control system measurements, whether they be used in the control loop operation or in the system identification used in model building for control. Finally, the workshop will home in on specific programming methods and components in the controller itself, describing efficient implementation methods and structures. \u003Cbr>\u003Cbr>Together these three thrusts should equip the participant with tools that they can apply almost immediately in their work. While the technology of computation constantly changes, the principles that lead any one of those signal chains to be a limiting factor remain the same.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/image_1faebbb589.png\">\u003C/figure>\u003Cp>Prerequisite skills for participants: Undergraduate level knowledge of feedback systems, sampled data systems, and programming. An honest interest in being able to translate control theory into physical control systems. The workshop is designed to be useful to industry practitioners as well as academics wishing to understand the guiding factors in computation for control and avoid the pitfalls that often arise from this unique sensitivity to time delay.\u003Cbr>\u003Cbr>\u003Cstrong>Website:\u003C/strong> \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://dabramovitch.com/computation_for_control_acc_2025/\">https://dabramovitch.com/computation_for_control_acc_2025/\u003C/a>\u003C/p>","2025-01-13T16:50:03.237Z","2025-06-27T16:14:27.017Z","2025-01-13T16:50:07.988Z","212",[1455],{"id":1456,"name":1457,"committee":15,"position":15,"affiliation":1458,"email":15,"biography":15,"createdAt":1459,"updatedAt":1459,"url_path_id":1460,"contactPhoto":15,"socialLinks":1461,"url_path":1462},77,"Daniel Y. Abramovitch","Agilent Technologies","2025-01-13T16:47:17.858Z","174",[],"-144","-182",{"id":250,"groupTitle":1465,"sessions":1466},"Half Day Workshops (Afternoon Session)",[1467,1478],{"id":574,"session":1468},{"id":198,"title":1469,"teaser":1470,"body":1471,"createdAt":1472,"updatedAt":1473,"publishedAt":1474,"url_path_id":1475,"contacts":1476,"url_path":1477},"W03: Bystander Intervention Workshop","\u003Cp>\u003Cspan style=\"font-size:1rem;\">\u003Ci>Note: the registration fee is waived for this Workshop, and it has limited capacity\u003C/i>\u003C/span>\u003C/p>\u003Cp>\u003Cstrong>Time:\u003C/strong> 2:00pm – 5:00pm.\u003C/p>\u003Cp>\u003Cstrong>Location:\u003C/strong> Governor’s Square 15.\u003C/p>\u003Cp>\u003Cstrong>Organizers:\u003C/strong>\u003Cbr>\u003Cimg class=\"image_resized\" style=\"width:25%;\" src=\"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/ACC_short_logo_2d62eb43c1.png\" alt=\"ACC - short logo.png\" srcset=\"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/thumbnail_ACC_short_logo_2d62eb43c1.png 245w,https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/small_ACC_short_logo_2d62eb43c1.png 500w,https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/medium_ACC_short_logo_2d62eb43c1.png 750w,https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/large_ACC_short_logo_2d62eb43c1.png 1000w,\" sizes=\"100vw\">\u003C/p>\u003Cp>\u003Cimg class=\"image_resized\" style=\"width:25%;\" src=\"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/advancegeo_partnership_logo_v17_65da8dfbcb.png\" alt=\"advancegeo_partnership_logo.v17.png\" srcset=\"https://confcats-siteplex.s3.us-east-1.amazonaws.com/acc25/thumbnail_advancegeo_partnership_logo_v17_65da8dfbcb.png 245w,\" sizes=\"100vw\">\u003C/p>\u003Cp>\u003Cstrong>Abstract: \u003C/strong>This interactive session describes different types of exclusionary behaviors that affect recruitment and retention into STEM, the academic practices and institutional structures that allow for exclusionary behaviors to persist and provides training in personal intervention strategies to protect and support targets of exclusionary behaviors. \u003C/p>","\u003Cp>As a result of this session, participants will be able to identify: (1) different ways in which harassment, bullying, and other types of exclusionary behaviors can manifest in research environments; (2) strategies for bystander intervention, and (3) resources for cultural change in academic institutions and professional societies.\u003Cbr> \u003Cbr>All participants will be provided with handouts that describe the bystander intervention strategies and point to resources related to the issues discussed. Participants will be asked to complete a short survey at the end of the workshop to provide feedback to the facilitators.\u003Cbr> \u003C/p>","2025-01-13T16:49:31.964Z","2025-06-27T16:14:47.540Z","2025-01-13T16:49:33.750Z","211",[],"-181",{"id":230,"session":1479},{"id":230,"title":1480,"teaser":1481,"body":1482,"createdAt":1483,"updatedAt":1484,"publishedAt":1485,"url_path_id":1486,"contacts":1487,"url_path":1517},"W04: Applied Category Theory for Compositional Decision Making","\u003Cp>\u003Cstrong>Time:\u003C/strong> 1:45pm – 5:30pm.\u003C/p>\u003Cp>\u003Cstrong>Location:\u003C/strong> Plaza Court 6.\u003C/p>\u003Cp>\u003Cstrong>Abstract:\u003C/strong> The workshop's primary objective is to create a platform for connecting various communities, fostering collaboration for the advancement of a compositional theory of decision making.\u003Cbr> \u003C/p>","\u003Cp>This workshop is open to participants from diverse backgrounds and experience levels, catering to both newcomers and seasoned professionals.\u003Cbr>\u003Cbr>Attendees can expect to gain valuable insights into addressing intricate decision-making problems, as the workshop will feature success stories and practical tools from applied category theory.\u003Cbr>\u003Cbr>Distinguished experts in the field will deliver talks, showcasing the practical implementation of these tools to tackle real-world issues.\u003Cbr>These presentations will also offer valuable perspectives on potential directions for future research endeavors, and for creating a new, interdisciplinary community around these topics.\u003Cbr> \u003C/p>","2025-01-13T16:51:33.221Z","2025-06-27T16:15:11.308Z","2025-01-13T16:51:34.776Z","214",[1488,1496,1503,1510],{"id":1489,"name":1490,"committee":15,"position":15,"affiliation":1491,"email":15,"biography":15,"createdAt":1492,"updatedAt":1492,"url_path_id":1493,"contactPhoto":15,"socialLinks":1494,"url_path":1495},85,"Gioele Zardini","MIT","2025-01-13T16:47:21.290Z","182",[],"-152",{"id":308,"name":1497,"committee":15,"position":15,"affiliation":1498,"email":15,"biography":15,"createdAt":1499,"updatedAt":1499,"url_path_id":1500,"contactPhoto":15,"socialLinks":1501,"url_path":1502},"James Fairbanks","University of Florida","2025-01-13T16:47:23.870Z","188",[],"-158",{"id":209,"name":1504,"committee":15,"position":15,"affiliation":1505,"email":15,"biography":15,"createdAt":1506,"updatedAt":1506,"url_path_id":1507,"contactPhoto":15,"socialLinks":1508,"url_path":1509},"Matthew Hale","Georgia Tech","2025-01-13T16:47:25.210Z","191",[],"-161",{"id":1356,"name":1511,"committee":15,"position":15,"affiliation":1512,"email":15,"biography":15,"createdAt":1513,"updatedAt":1513,"url_path_id":1514,"contactPhoto":15,"socialLinks":1515,"url_path":1516},"Aaron D. Ames","Caltech","2025-01-13T16:47:13.638Z","165",[],"-135","-184",{"id":382,"groupTitle":1519,"sessions":1520},"Full Day Workshops",[1521,1556,1592,1643,1669,1712,1760,1806,1834,1883,1935],{"id":250,"session":1522},{"id":250,"title":1523,"teaser":1524,"body":1525,"createdAt":1526,"updatedAt":1527,"publishedAt":1528,"url_path_id":1529,"contacts":1530,"url_path":1555},"W05: Mixed Autonomy in Transportation: Emerging Challenges and Opportunities","\u003Cp>\u003Cstrong>Time:\u003C/strong> 8:30am – 4:30pm.\u003C/p>\u003Cp>\u003Cstrong>Location:\u003C/strong> Governor’s Square 16.\u003C/p>\u003Cp>\u003Cstrong>Abstract: \u003C/strong>Although connected and autonomous vehicle (CAV) technologies have enormous potential to enhance network mobility and sustainability in modern traffic networks, their deployment on roads shared with human vehicles requires careful consideration to avoid unintended outcomes in the resulting \u003Ci>mixed-autonomy\u003C/i> system.\u003C/p>","\u003Cp>For instance, CAV fleets deployed in isolation can increase network mobility threefold by forming platoons with short headways, maintained by synchronous velocity and acceleration control [1]. However, recent work demonstrates that increasing the fraction of autonomous vehicles in a mixed-autonomy network can actually exacerbate congestion when all vehicles are routed selfishly [2]. As another example, although CAVs on a multi-lane highway can execute lane-switching behaviors to stabilize traffic, recent work indicates that the frequency of the lane switches must be carefully designed to avoid tipping the system back into instability. These examples illustrate that carelessly devised strategies for operating CAVs in mixed autonomy can negate the CAVs’ potential to positively impact modern transportation systems. The focus of this workshop is therefore: \u003Cstrong>“How should mixed-autonomy traffic systems be controlled to maximize the benefits of deploying connected and autonomous vehicles?”\u003C/strong>\u003C/p>\u003Cp>Our workshop aims to study the above question by considering various control-theoretic and learning-centric perspectives on the opportunities and challenges posed by large-scale mixed-autonomy traffic systems. Specifically, we aim to bring together speakers representing expertise in systems theory, game theory, and machine learning. We will hear from Dr. Negar Mehr (UC Berkeley), who will present her work on socially-aware control of mixed-autonomy traffic networks, from Dr. Ruolin Li (USC), who will present her work on tolling autonomous and high-occupancy vehicles in interactive mixed autonomy settings, from Dr. Ramtin Pedarsani (UCSB), who will present his work on mixed-autonomy in ride-sharing networks, and from Dr. Roy Dong (UIUC), who will present his work on analyzing the stability of multi-lane mixed-autonomy traffic using hybrid systems theory. Together with the contributed papers, these diverse viewpoints will illustrate the broad impacts of strategic thinking in multi-agent environments, and how progress in these settings is transforming the state-of-the-art across the research community in controlling mixed autonomy traffic and beyond.\u003C/p>\u003Cp>We have divided our workshop into three session types, each of which allows for a different mixture of voices to be heard:\u003C/p>\u003Cul>\u003Cli>Invited Talks - These sessions will allow attendees to learn about recent results and current trends from experts in the research areas of routing and pricing ride-sharing services in mixed autonomy networks.\u003C/li>\u003Cli>Interactive Poster Session - This session will showcase the work of young researchers and will provide opportunities for informal discussions between participants and speakers.\u003C/li>\u003Cli>Panel Discussion - This moderated discussion will include our invited speakers. The moderator will have several prepared questions for each panelist. Attendees will be asked to submit questions via a live online discussion board, which the moderator will curate for the panelists. Tentative discussion topics are as follows:\u003Cul>\u003Cli>What are the most pressing \u003Cstrong>current and future challenges in routing mixed-autonomy traffic\u003C/strong>, and what are the \u003Cstrong>most promising approaches\u003C/strong> we have to deal with them?\u003C/li>\u003Cli>How do the \u003Cstrong>mathematical foundations of game theory\u003C/strong> inform the way we approach challenges and opportunities in controlling mixed-autonomy traffic systems?\u003C/li>\u003Cli>What is the biggest opportunity we have in the mixed-autonomy community to have a \u003Cstrong>positive impact in the age of ChatGPT?\u003C/strong>\u003C/li>\u003Cli>What are the additional challenges that arise in \u003Cstrong>mixed autonomy \u003C/strong>due to strategic multi-agent interactions between human-driven and autonomous vehicles?\u003C/li>\u003Cli>How does our current understanding of strategic multi-agent decision-making inform the \u003Cstrong>design of environments\u003C/strong> shared by human-driven and autonomous vehicles?\u003C/li>\u003C/ul>\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>\u003Cu>Areas of interest:\u003C/u>\u003C/strong> Routing, Tolling, Stability Analysis, and Equilibrium Design for Mixed-Autonomy Traffic Systems\u003C/p>\u003Cp>\u003Cstrong>\u003Cu>Techniques include:\u003C/u>\u003C/strong> Hybrid Systems and Control, Game theory, Mechanism Design, Optimization, Probability and Statistics, Bayesian inference, Robotics, Reinforcement learning, Generative Models etc.\u003C/p>\u003Cp>\u003Cstrong>Website:\u003C/strong> \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://sites.google.com/view/acc2025workshoponmixedautonomy/\">https://sites.google.com/view/acc2025workshoponmixedautonomy/\u003C/a>\u003C/p>","2025-01-13T17:01:26.579Z","2025-06-27T16:15:29.189Z","2025-01-13T17:01:28.395Z","215",[1531,1539,1547],{"id":1204,"name":1532,"committee":15,"position":15,"affiliation":1533,"email":15,"biography":54,"createdAt":1534,"updatedAt":1535,"url_path_id":1536,"contactPhoto":15,"socialLinks":1537,"url_path":1538},"Philip N. Brown","University of Colorado at Colorado Springs","2025-01-13T16:47:27.620Z","2025-01-14T00:05:44.645Z","197",[],"-167",{"id":1540,"name":1541,"committee":15,"position":15,"affiliation":1542,"email":15,"biography":15,"createdAt":1543,"updatedAt":1543,"url_path_id":1544,"contactPhoto":15,"socialLinks":1545,"url_path":1546},73,"Bryce L. Ferguson","Dartmouth","2025-01-13T16:47:15.890Z","170",[],"-140",{"id":1548,"name":1549,"committee":15,"position":15,"affiliation":1505,"email":15,"biography":54,"createdAt":1550,"updatedAt":1551,"url_path_id":1552,"contactPhoto":15,"socialLinks":1553,"url_path":1554},75,"Chih-Yuan Chiu","2025-01-13T16:47:16.828Z","2025-01-13T17:01:35.944Z","172",[],"-142","-185",{"id":382,"session":1557},{"id":382,"title":1558,"teaser":1559,"body":1560,"createdAt":1561,"updatedAt":1562,"publishedAt":1563,"url_path_id":1564,"contacts":1565,"url_path":1591},"W06: Resiliency of Cyber-Physical-Human Systems","\u003Cp>\u003Cstrong>Time:\u003C/strong> 9:15am – 5:15pm.\u003C/p>\u003Cp>\u003Cstrong>Location:\u003C/strong> Governor’s Square 9.\u003C/p>\u003Cp>\u003Cstrong>Abstract:  \u003C/strong>Cyber-physical-human systems (CPHS) represent a class of networked humans and control systems with vast and promising applications, such as smart cities, distributed sensing and control based on Internet-of-Things (IoT) devices, and utility networks. Such systems are expected to provide outstanding functionalities and positively influence our life and society.\u003C/p>","\u003Cp>However, these positive outcomes may be hindered by novel threats to the functionality of CPHS, such as malicious cyber-attacks, unforeseen events or human agents who may negatively affect the physical domain. In this workshop, our speakers will cover five important themes: (i) Characterizing and identifying vulnerabilities in large-scale CPHS; (ii) Localization and state estimation under faults and malicious attacks; (iii) The security of information flow in CPHS; (iv) Collaborative decision making under adversarial conditions; and (v) Machine learning assistance for resilience.\u003C/p>\u003Cp>\u003Cstrong>Website: \u003C/strong>\u003Cbr>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://sites.google.com/view/acc25workshop-resilient-cphs/home\">https://sites.google.com/view/acc25workshop-resilient-cphs/home\u003C/a>\u003Cbr> \u003C/p>","2025-01-13T17:02:16.291Z","2025-06-27T16:15:41.398Z","2025-01-13T17:02:17.814Z","216",[1566,1575,1583],{"id":1567,"name":1568,"committee":15,"position":15,"affiliation":1569,"email":15,"biography":54,"createdAt":1570,"updatedAt":1571,"url_path_id":1572,"contactPhoto":15,"socialLinks":1573,"url_path":1574},97,"Michelle Chong","Eindhoven University of Technology","2025-01-13T16:47:26.366Z","2025-01-14T00:06:44.028Z","194",[],"-164",{"id":1576,"name":1577,"committee":15,"position":15,"affiliation":1578,"email":15,"biography":15,"createdAt":1579,"updatedAt":1579,"url_path_id":1580,"contactPhoto":15,"socialLinks":1581,"url_path":1582},87,"Henrick Sanberg","KTH Royal Institute of Technology","2025-01-13T16:47:22.161Z","184",[],"-154",{"id":1584,"name":1585,"committee":15,"position":15,"affiliation":1586,"email":15,"biography":15,"createdAt":1587,"updatedAt":1587,"url_path_id":1588,"contactPhoto":15,"socialLinks":1589,"url_path":1590},104,"Sean Warnick","Brigham Young University","2025-01-13T16:47:29.498Z","201",[],"-171","-186",{"id":217,"session":1593},{"id":217,"title":1594,"teaser":1595,"body":1596,"createdAt":1597,"updatedAt":1598,"publishedAt":1599,"url_path_id":1600,"contacts":1601,"url_path":1642},"W07: Advanced Battery Management: Harnessing State-of-the-Art Control and Machine Learning","\u003Cp>\u003Cstrong>Time:\u003C/strong> 8:50am – 5:10pm.\u003C/p>\u003Cp>\u003Cstrong>Location:\u003C/strong> Governor’s Square 10.\u003C/p>\u003Cp>\u003Cstrong>Abstract:  \u003C/strong>Battery management systems (BMS) are essential to the efficient, safe, and reliable operation of battery energy storage systems, particularly in applications such as electric vehicles, renewable energy systems, and consumer electronics.\u003C/p>","\u003Cp>As battery technologies evolve, so do the challenges associated with managing their performance, longevity, and safety. Advanced BMS is a topic that has garnered substantial attention, especially within the systems and control research community, over the past decade. In response to these advancements, we are excited to organize a full-day workshop that will bring together leading researchers and practitioners to share the latest breakthroughs, discuss emerging trends, and explore future directions in this dynamic field. \u003Cbr>\u003Cbr>\u003Cstrong>Website:\u003C/strong> \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://acc2025-batteryworkshop.github.io/\">https://acc2025-batteryworkshop.github.io/\u003C/a>\u003C/p>","2025-01-13T17:03:14.614Z","2025-06-27T16:15:56.324Z","2025-01-13T17:03:16.296Z","217",[1602,1611,1618,1626,1635],{"id":1603,"name":1604,"committee":15,"position":15,"affiliation":1605,"email":15,"biography":54,"createdAt":1606,"updatedAt":1607,"url_path_id":1608,"contactPhoto":15,"socialLinks":1609,"url_path":1610},113,"Ziyou Song","University of Michigan at Ann Arbor","2025-01-13T16:47:33.315Z","2025-01-14T00:07:09.642Z","210",[],"-180",{"id":926,"name":1612,"committee":15,"position":15,"affiliation":1613,"email":15,"biography":15,"createdAt":1614,"updatedAt":1614,"url_path_id":1615,"contactPhoto":15,"socialLinks":1616,"url_path":1617},"Huazhen Fang","University of Kansas","2025-01-13T16:47:22.609Z","185",[],"-155",{"id":1090,"name":1619,"committee":15,"position":15,"affiliation":1620,"email":15,"biography":54,"createdAt":1621,"updatedAt":1622,"url_path_id":1623,"contactPhoto":15,"socialLinks":1624,"url_path":1625},"Xinfan Lin","University of California - Davis","2025-01-13T16:47:32.074Z","2025-01-13T17:03:34.858Z","207",[],"-177",{"id":1627,"name":1628,"committee":15,"position":15,"affiliation":1629,"email":15,"biography":54,"createdAt":1630,"updatedAt":1631,"url_path_id":1632,"contactPhoto":15,"socialLinks":1633,"url_path":1634},103,"Scott Moura","University of California - Berkeley","2025-01-13T16:47:29.078Z","2025-01-14T00:14:11.018Z","200",[],"-170",{"id":564,"name":1636,"committee":15,"position":15,"affiliation":1637,"email":15,"biography":15,"createdAt":1638,"updatedAt":1638,"url_path_id":1639,"contactPhoto":15,"socialLinks":1640,"url_path":1641},"Simona Onori","Standford","2025-01-13T16:47:29.968Z","202",[],"-172","-187",{"id":224,"session":1644},{"id":224,"title":1645,"teaser":1646,"body":1647,"createdAt":1648,"updatedAt":1649,"publishedAt":1650,"url_path_id":1651,"contacts":1652,"url_path":1668},"W08: Workshop on the Interplay Between Machine Learning and Set-Based Control & Identification","\u003Cp>\u003Cstrong>Time:\u003C/strong> 7:50am – 5:30pm.\u003C/p>\u003Cp>\u003Cstrong>Location:\u003C/strong> Governor’s Square 11.\u003C/p>\u003Cp>\u003Cstrong>Abstract:  \u003C/strong>In recent years, learning-based control has gained significant attention for its potential to improve control design by leveraging advances in machine learning (ML) and reinforcement learning (RL). \u003C/p>","\u003Cp>However, ensuring safety in the presence of uncertainty remains a critical challenge in both learning-based control and RL. Addressing this issue requires new results and algorithms for two key areas: uncertainty quantification and the design of safe, robust control systems. Both of these rely heavily on set-based approaches. For uncertainty quantification, commonly used methods include set-membership estimation, confidence interval estimation, etc. For robust constrained control, techniques such as control barrier functions, reachability sets, robust model predictive control (MPC), are widely employed. Moreover, recent algorithms from ML, such as convex-body chasing, conformal prediction, and upper confidence bounds (UCB), also rely on set-based methodologies and can be applied to learning-based control design.\u003C/p>\u003Cp>This workshop aims to showcase recent advances in the interplay between set-based control \\& identification and machine learning, highlighting new results in the methods mentioned above. These cutting-edge developments are laying the groundwork for more efficient and safe learning-based control systems, providing rigorous approaches to manage uncertainties while ensuring system performance and constraint satisfaction.\u003C/p>\u003Cp>\u003Cstrong>Website:\u003C/strong> \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://sites.google.com/illinois.edu/acc25setidcontrol\">https://sites.google.com/illinois.edu/acc25setidcontrol\u003C/a>\u003C/p>","2025-01-13T17:04:40.329Z","2025-06-27T16:16:11.512Z","2025-01-13T17:04:49.692Z","218",[1653,1662],{"id":1654,"name":1655,"committee":15,"position":15,"affiliation":1656,"email":15,"biography":54,"createdAt":1657,"updatedAt":1658,"url_path_id":1659,"contactPhoto":15,"socialLinks":1660,"url_path":1661},112,"Yingying Li","UIUC","2025-01-13T16:47:32.889Z","2025-01-13T17:04:47.049Z","209",[],"-179",{"id":1156,"name":1663,"committee":15,"position":15,"affiliation":1656,"email":15,"biography":15,"createdAt":1664,"updatedAt":1664,"url_path_id":1665,"contactPhoto":15,"socialLinks":1666,"url_path":1667},"Geir E. Dullerud","2025-01-13T16:47:20.456Z","180",[],"-150","-188",{"id":244,"session":1670},{"id":244,"title":1671,"teaser":1672,"body":1673,"createdAt":1674,"updatedAt":1675,"publishedAt":1676,"url_path_id":1677,"contacts":1678,"url_path":1711},"W09: Managerial Desicion-Making as a Control System: New Opportunities for Control Science and Engineering","\u003Cp>\u003Cstrong>Note: This workshop has been cancelled by the organizers.\u003C/strong>\u003C/p>\u003Cp>\u003Cstrong>Abstract: \u003C/strong>This workshop will highlight the importance of managerial decision-making and how it can profitably be viewed as an application for control science and engineering—a challenging, fascinating, and important avenue for control scientists and engineers to exploit their expertise and to benefit society.\u003C/p>","\u003Cp>Decision makers at all levels and in all sectors—academic, business, nonprofit, government—have a pressing need to manage complex systems and processes, including projects and programs, teams and organizations, operations and functions. Examples are pervasive. In the corporate world: what products should a company develop in an uncertain market environment? In public policy: How can we reduce inequality and poverty? For the planet: How can progress be made towards mitigating and adapting to climate change?\u003C/p>\u003Cp>Managerial decision making is challenging for multiple reasons. The problems are dynamic, with feedback elements, time delays, and deadlines. Resources—people, expertise, funding—are always constrained. Uncertainty is pervasive and manifests in various way —noise, disturbances, partial knowledge. And people, both as managers and as the managed, are hard to model. As the terminology in this paragraph suggests, there are strong intuitive connections with control.\u003C/p>\u003Cp>The workshop will develop these intuitive connections, both in quantitative and qualitative directions. An underlying premise is that control science can be considered the only rigorous approach to effective decision making in complex dynamical systems (including managerial ones). \u003C/p>\u003Cp>In addition to prepared presentations and open discussion, the workshop program will include breakout sessions, in which subgroups will discuss and brainstorm before reporting out to the full audience. We anticipate that the discussions in the workshop will result in an article for a control publication.\u003C/p>\u003Cp>\u003Cspan style=\"color:rgb(33,33,33);\">More information on the workshop is available \u003C/span>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://sites.google.com/umn.edu/managerial-decision-workshop?usp=sharing\">\u003Cspan style=\"color:rgb(33,33,33);\">at this link\u003C/span>\u003C/a>\u003Cspan style=\"color:rgb(33,33,33);\">.\u003C/span>\u003Cbr> \u003C/p>","2025-01-13T17:05:45.049Z","2025-06-04T22:37:37.572Z","2025-01-13T17:05:46.871Z","219",[1679,1686,1688,1695,1703],{"id":815,"name":1680,"committee":15,"position":15,"affiliation":1681,"email":15,"biography":15,"createdAt":1682,"updatedAt":1682,"url_path_id":1683,"contactPhoto":15,"socialLinks":1684,"url_path":1685},"Tariq Samad","University of Minnesota","2025-01-13T16:47:30.838Z","204",[],"-174",{"id":1456,"name":1457,"committee":15,"position":15,"affiliation":1458,"email":15,"biography":15,"createdAt":1459,"updatedAt":1459,"url_path_id":1460,"contactPhoto":15,"socialLinks":1687,"url_path":1462},[],{"id":1177,"name":1689,"committee":15,"position":15,"affiliation":1690,"email":15,"biography":15,"createdAt":1691,"updatedAt":1691,"url_path_id":1692,"contactPhoto":15,"socialLinks":1693,"url_path":1694},"Francesco Alessandro Cuzzola","DataHealth srl","2025-01-13T16:47:20.038Z","179",[],"-149",{"id":1696,"name":1697,"committee":15,"position":15,"affiliation":1698,"email":15,"biography":15,"createdAt":1699,"updatedAt":1699,"url_path_id":1700,"contactPhoto":15,"socialLinks":1701,"url_path":1702},69,"Bhagyesh Patil","John Dere & Co.","2025-01-13T16:47:14.206Z","166",[],"-136",{"id":1704,"name":1705,"committee":15,"position":15,"affiliation":1706,"email":15,"biography":15,"createdAt":1707,"updatedAt":1707,"url_path_id":1708,"contactPhoto":15,"socialLinks":1709,"url_path":1710},70,"Bill Tubbs","Bill Tubbs Associates Consulting","2025-01-13T16:47:14.651Z","167",[],"-137","-189",{"id":351,"session":1713},{"id":351,"title":1714,"teaser":1715,"body":1716,"createdAt":1717,"updatedAt":1718,"publishedAt":1719,"url_path_id":1720,"contacts":1721,"url_path":1759},"W10: Data-Driven and Risk-Aware Control for Safety-Critical Autonomous Systems","\u003Cp>\u003Cstrong>Time:\u003C/strong> 8:20am – 5:20pm.\u003C/p>\u003Cp>\u003Cstrong>Location:\u003C/strong> Governor’s Square 12.\u003C/p>\u003Cp>\u003Cstrong>Abstract: \u003C/strong>As autonomous systems are increasingly integrated into safety-critical applications, ensuring their reliable performance under uncertainty is crucial. Traditional control methods often face difficulties balancing high performance with risk management, especially in dynamic environments with incomplete or evolving data. \u003C/p>","\u003Cp>This workshop will address these challenges by exploring the integration of data-driven approaches with risk-aware control strategies. It will feature both theoretical advancements and real- world applications, focusing on balancing the uncertainty inherent in data-driven methods with the conservatism required for risk aware control. Invited speakers will present state-of-the-art advancements, progressing from theoretical frameworks to successful implementations in autonomous systems. Case studies from domains such as autonomous vehicles, medical robots, and industrial processes will demonstrate how risk-aware control can enhance system safety and reliability in unpredictable environments.\u003C/p>\u003Cp>\u003Cstrong>Website:\u003C/strong> \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://sites.google.com/view/he-acc-2025-workshop\">https://sites.google.com/view/he-acc-2025-workshop\u003C/a>\u003C/p>","2025-01-13T17:06:42.477Z","2025-06-27T16:16:44.851Z","2025-01-13T17:06:44.187Z","220",[1722,1730,1738,1745,1752],{"id":1071,"name":1723,"committee":15,"position":15,"affiliation":1724,"email":15,"biography":54,"createdAt":1725,"updatedAt":1726,"url_path_id":1727,"contactPhoto":15,"socialLinks":1728,"url_path":1729},"Binghan He","University of Texas at San Antonio","2025-01-13T16:47:15.467Z","2025-01-14T00:02:47.428Z","169",[],"-139",{"id":1731,"name":1732,"committee":15,"position":15,"affiliation":1733,"email":15,"biography":15,"createdAt":1734,"updatedAt":1734,"url_path_id":1735,"contactPhoto":15,"socialLinks":1736,"url_path":1737},98,"Minghui Zheng","Texas A&M","2025-01-13T16:47:26.784Z","195",[],"-165",{"id":170,"name":1739,"committee":15,"position":15,"affiliation":1740,"email":15,"biography":15,"createdAt":1741,"updatedAt":1741,"url_path_id":1742,"contactPhoto":15,"socialLinks":1743,"url_path":1744},"Mengxue Hou","University of Notre Dame","2025-01-13T16:47:25.584Z","192",[],"-162",{"id":1233,"name":1746,"committee":15,"position":15,"affiliation":1747,"email":15,"biography":15,"createdAt":1748,"updatedAt":1748,"url_path_id":1749,"contactPhoto":15,"socialLinks":1750,"url_path":1751},"Jaemin Lee","North Carolina State University","2025-01-13T16:47:23.463Z","187",[],"-157",{"id":1753,"name":1754,"committee":15,"position":15,"affiliation":1747,"email":15,"biography":15,"createdAt":1755,"updatedAt":1755,"url_path_id":1756,"contactPhoto":15,"socialLinks":1757,"url_path":1758},86,"Hao Su","2025-01-13T16:47:21.717Z","183",[],"-153","-190",{"id":338,"session":1761},{"id":338,"title":1762,"teaser":1763,"body":1764,"createdAt":1765,"updatedAt":1766,"publishedAt":1767,"url_path_id":1768,"contacts":1769,"url_path":1805},"W11: Optimizing Across Scales: Multi-Fidelity, Multi-Modality, and Multi-Objective Approaches for Complex Systems","\u003Cp>\u003Cstrong>Time:\u003C/strong> 8:30am – 5:00pm.\u003C/p>\u003Cp>\u003Cstrong>Location:\u003C/strong> Plaza Court 8.\u003C/p>\u003Cp>\u003Cstrong>Abstract: \u003C/strong>Given the growing ubiquity of things like autonomous vehicles, robots, and arrays of edge computing devices and sensors (collectively, known as the Internet of Things), the path forward in AI involves a progression from systems capable of addressing tasks within narrow, specialized domains—referred to as artificial narrow intelligence (ANI)—to systems with the ability to solve problems across multiple domains at or beyond human capability, known as artificial general intelligence (AGI) and artificial superintelligence (ASI).\u003C/p>","\u003Cp>However, these superordinate scales of intelligence will not “emerge” naturally; instead, sophisticated optimization strategies are mandated to capacitate \u003Cstrong>optimizing across multiple scales of intelligence\u003C/strong>, both within individual agents and across networks of interacting systems.\u003C/p>\u003Cp>Optimization across scales is a fundamental aspect of intelligence, balancing trade-offs across various dimensions—from \u003Cstrong>learning\u003C/strong> to \u003Cstrong>synthesis\u003C/strong> to \u003Cstrong>decision-making\u003C/strong>. For \u003Cstrong>learning\u003C/strong>, the trade-off between \u003Cstrong>accuracy and efficiency\u003C/strong> can be managed by leveraging models with \u003Cstrong>multiple fidelity levels\u003C/strong>, ensuring effective usage of computational resources. In \u003Cstrong>synthesis\u003C/strong>, achieving a balance between \u003Cstrong>consistency and variability\u003C/strong> is critical when extracting and integrating information from \u003Cstrong>multiple modalities\u003C/strong>. For \u003Cstrong>decision-making\u003C/strong>, compromises among\u003Cstrong> multiple objectives\u003C/strong> are often unavoidable due to conflicting goals, demanding \u003Cstrong>ethical\u003C/strong> considerations. These multi-scale optimization strategies are prerequisites to unlocking the full potential of intelligent systems, enabling them to generate emergent forms of intelligence at higher, more complex levels.\u003C/p>\u003Cp>Therefore, this workshop aims to explore \u003Cstrong>multi-fidelity, multi-modality, and multi-objective optimization approaches\u003C/strong>, with a focus on how these methods can enhance efficiency, accuracy, consistency, variability, and ethicality. More specifically, tracking complex problems that involve:\u003C/p>\u003Cul>\u003Cli>\u003Cstrong>Multi-fidelity learning\u003C/strong>: Using both low-cost, approximate models and high-fidelity, resource-intensive models to efficiently explore solutions.\u003C/li>\u003Cli>\u003Cstrong>Multi-modality integration\u003C/strong>: Combining diverse data sources, such as sensor data, imagery, and text, to inform decision-making processes.\u003C/li>\u003Cli>\u003Cstrong>Multi-objective decision-making\u003C/strong>: Balancing conflicting objectives, such as speed versus accuracy or performance versus energy consumption.\u003C/li>\u003C/ul>\u003Cp>By integrating insights from diverse fields—such as autonomous systems, smart cities, production lines and bioinformatics—we will discuss innovative ways to optimize across different scales, bridging the gap between theory and real-world applications.\u003C/p>\u003Cp>\u003Cstrong>Website:\u003C/strong> \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://urldefense.com/v3/__https://aeroastro.mit.edu/realm/news/acc-2025-workshop/__;!!KGKeukY!3FcWrdlh4cpseZ9xCQi1KDG2Fr9GpEXbBDzIU7qV77Npc-4Q-85hbVLaRw3pzX-ki5TvWeQ6OtXez0_Arap8i4Fo$\">https://aeroastro.mit.edu/realm/news/acc-2025-workshop/\u003C/a>\u003C/p>","2025-01-13T17:08:01.069Z","2025-06-27T16:17:05.262Z","2025-01-13T17:08:02.878Z","221",[1770,1777,1783,1791,1798],{"id":1771,"name":1772,"committee":15,"position":15,"affiliation":1491,"email":15,"biography":15,"createdAt":1773,"updatedAt":1773,"url_path_id":1774,"contactPhoto":15,"socialLinks":1775,"url_path":1776},111,"Yingke Li","2025-01-13T16:47:32.464Z","208",[],"-178",{"id":16,"name":1778,"committee":15,"position":15,"affiliation":1491,"email":15,"biography":15,"createdAt":1779,"updatedAt":1779,"url_path_id":1780,"contactPhoto":15,"socialLinks":1781,"url_path":1782},"Chuchu Fan","2025-01-13T16:47:17.340Z","173",[],"-143",{"id":1784,"name":1785,"committee":15,"position":15,"affiliation":1786,"email":15,"biography":54,"createdAt":1787,"updatedAt":1787,"url_path_id":1788,"contactPhoto":15,"socialLinks":1789,"url_path":1790},57,"Fumin Zhang","Hong Kong University of Science and Technology","2024-07-27T14:46:39.275Z","90",[],"-68",{"id":1792,"name":1793,"committee":15,"position":15,"affiliation":1491,"email":15,"biography":54,"createdAt":1794,"updatedAt":1794,"url_path_id":1795,"contactPhoto":15,"socialLinks":1796,"url_path":1797},170,"Jonathan How","2025-03-19T21:31:01.959Z","338",[],"-304",{"id":1799,"name":1800,"committee":15,"position":15,"affiliation":1512,"email":15,"biography":54,"createdAt":1801,"updatedAt":1801,"url_path_id":1802,"contactPhoto":15,"socialLinks":1803,"url_path":1804},171,"John Doyle","2025-03-19T21:31:32.241Z","339",[],"-305","-191",{"id":414,"session":1807},{"id":414,"title":1808,"teaser":1809,"body":1810,"createdAt":1811,"updatedAt":1812,"publishedAt":1813,"url_path_id":1814,"contacts":1815,"url_path":1833},"W12: Collaborative Connections: Advances in Communication-Aware Learning, Planning, Control, and Games","\u003Cp>\u003Cstrong>Time:\u003C/strong> 8:30am – 4:40pm.\u003C/p>\u003Cp>\u003Cstrong>Location:\u003C/strong> Plaza Court 2.\u003C/p>\u003Cp>\u003Cstrong>Abstract: \u003C/strong> This workshop will showcase cutting edge of research on the effect of communication constraints on learning, control, and estimation in dynamical systems. Corruption and omission of data due to communication constraint, disruption, and delay, presents a daunting challenge for real-time learning and control of complex systems due to its uncertainty, environmental dependence, and hardware limitation.\u003C/p>","\u003Cp>This workshop aims to offer a survey of emerging techniques and research problems related to communication-aware decision-making, spanning topics from networked multi-agent control and games to data-driven dynamics learning and coordinated decision-making for autonomous robots. Emphasis will be placed on both recent theoretical developments in communication-constraints on structured learning of dynamical systems and emerging applications ranging from aerial and underwater robotics, networked-control systems, and differential games. Several open problems and opportunities for further fruitful collaborative efforts in this growing field — at the intersection of systems and control theory, data science, communication, and machine learning — will be articulated and discussed. The following list provides broad areas of interest for technical content to be presented in the proposed workshop:\u003C/p>\u003Cul>\u003Cli>Networked control systems\u003C/li>\u003Cli>Communication aware control and mission planning\u003C/li>\u003Cli>Learning with communication constraints\u003C/li>\u003Cli>Information structure in dynamic games\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Website: \u003C/strong>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://goswami78.github.io/ACC_2025_Workshop/\">https://goswami78.github.io/ACC_2025_Workshop/\u003C/a>\u003C/p>","2025-01-13T17:08:56.677Z","2025-06-27T16:17:16.117Z","2025-01-13T17:08:58.161Z","222",[1816,1825],{"id":1817,"name":1818,"committee":15,"position":15,"affiliation":1819,"email":15,"biography":54,"createdAt":1820,"updatedAt":1821,"url_path_id":1822,"contactPhoto":15,"socialLinks":1823,"url_path":1824},79,"Dipankar Maity","University of North Carolina at Charlotte","2025-01-13T16:47:18.759Z","2025-01-14T00:02:14.436Z","176",[],"-146",{"id":1826,"name":1827,"committee":15,"position":15,"affiliation":1828,"email":15,"biography":15,"createdAt":1829,"updatedAt":1829,"url_path_id":1830,"contactPhoto":15,"socialLinks":1831,"url_path":1832},78,"Debdipta Goswami","The Ohio State University","2025-01-13T16:47:18.313Z","175",[],"-145","-192",{"id":131,"session":1835},{"id":131,"title":1836,"teaser":1837,"body":1838,"createdAt":1839,"updatedAt":1840,"publishedAt":1841,"url_path_id":1842,"contacts":1843,"url_path":1882},"W13: Physics-Informed Machine Learning in Control: An Introduction, Opportunities and Challenges","\u003Cp>\u003Cstrong>Time:\u003C/strong> 8:30am – 5:45pm.\u003C/p>\u003Cp>\u003Cstrong>Location:\u003C/strong> Governor’s Square 14.\u003C/p>\u003Cp>\u003Cstrong>Abstract:  \u003C/strong>In recent years, research at the intersection of machine learning and classical engineering domains has grown exponentially. Machine learning is increasingly being utilized to develop novel data-driven approaches for modeling and controlling dynamical systems, which were traditionally dominated by physics-based models and scientific computing solvers.\u003C/p>","\u003Cp>Conversely, principles from engineering and scientific computing are transforming the machine learning landscape by introducing domain-aware methods, moving beyond purely black-box approaches, and incorporating more structure and prior knowledge into model architectures and loss functions.\u003C/p>\u003Cp>Physics-informed machine learning leverages knowledge of the physical world to guide the learning processes of machine learning algorithms. By explicitly integrating physical laws, domain expertise, and prior knowledge into the learning framework, physics-informed learning enables control systems to benefit from the flexibility and adaptability of machine learning while maintaining a strong foundation in understanding the underlying dynamics. This integration results in more efficient and trustworthy learning processes, ultimately leading to superior performance, robustness, and interpretability control applications.\u003C/p>\u003Cp>\u003Cstrong>This workshop aims to provide insight into the latest advances in physics-informed machine learning for modeling, control, and optimization, and to highlight open challenges and opportunities in the field. In the morning, experts with experience in physics-informed learning and optimization-based control will present new results, address challenges and opportunities for the control community, and discuss recent advances in physics-informed learning more broadly. In the later afternoon, a tutorial-style coding session will offer attendees hands-on experience with tools from the physics-informed learning ecosystem.\u003C/strong>\u003C/p>\u003Cp>The workshop targets an audience from graduate level to experienced theoretical and practically oriented control engineers who aim to improve their knowledge in physics-informed machine learning for control and optimization.\u003C/p>\u003Cp>\u003Cstrong>Website:\u003C/strong> \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://sites.google.com/view/acc-physics-informed-learning\">https://sites.google.com/view/acc-physics-informed-learning\u003C/a>\u003C/p>","2025-01-13T17:09:47.028Z","2025-06-27T16:17:42.721Z","2025-01-13T17:09:48.709Z","223",[1844,1852,1860,1867,1874],{"id":1845,"name":1846,"committee":15,"position":15,"affiliation":1847,"email":15,"biography":15,"createdAt":1848,"updatedAt":1848,"url_path_id":1849,"contactPhoto":15,"socialLinks":1850,"url_path":1851},108,"Thomas Beckers","Vanderbilt","2025-01-13T16:47:31.275Z","205",[],"-175",{"id":1853,"name":1854,"committee":15,"position":15,"affiliation":1855,"email":15,"biography":15,"createdAt":1856,"updatedAt":1856,"url_path_id":1857,"contactPhoto":15,"socialLinks":1858,"url_path":1859},92,"Jan Drgona","John Hopkins University","2025-01-13T16:47:24.354Z","189",[],"-159",{"id":1109,"name":1861,"committee":15,"position":15,"affiliation":1862,"email":15,"biography":15,"createdAt":1863,"updatedAt":1863,"url_path_id":1864,"contactPhoto":15,"socialLinks":1865,"url_path":1866},"Draguna Vrabie","Pacific Northwest National Laboratory","2025-01-13T16:47:19.201Z","177",[],"-147",{"id":964,"name":1868,"committee":15,"position":15,"affiliation":1869,"email":15,"biography":15,"createdAt":1870,"updatedAt":1870,"url_path_id":1871,"contactPhoto":15,"socialLinks":1872,"url_path":1873},"Sandra Hirche","Technical University of Munich","2025-01-13T16:47:28.550Z","199",[],"-169",{"id":1875,"name":1876,"committee":15,"position":15,"affiliation":1877,"email":15,"biography":15,"createdAt":1878,"updatedAt":1878,"url_path_id":1879,"contactPhoto":15,"socialLinks":1880,"url_path":1881},101,"Rolf Findeisen","Technical University of Darmstadt","2025-01-13T16:47:28.070Z","198",[],"-168","-193",{"id":396,"session":1884},{"id":396,"title":1885,"teaser":1886,"body":1887,"createdAt":1888,"updatedAt":1889,"publishedAt":1890,"url_path_id":1891,"contacts":1892,"url_path":1934},"W14: Workshop on Formal Verification of Control with Neural Network Components","\u003Cp>\u003Cstrong>Time:\u003C/strong> 8:30am – 5:00pm.\u003C/p>\u003Cp>\u003Cstrong>Location:\u003C/strong> Plaza Court 1.\u003C/p>\u003Cp>\u003Cstrong>Abstract: \u003C/strong>Neural networks are becoming more prevalent in an increasing number of safety-critical autonomy applications. It is important to ensure that these data-driven autonomous systems are safe given challenges associated with deployment in the real world.\u003C/p>","\u003Cp>To address this issue, many formal approaches have been developed using tools such as barrier functions, reachability analysis, contraction theory, and temporal logics. This workshop seeks to bring together academic experts in the field of neural system verification and industry stakeholders with the goal of identifying research gaps between what is currently possible and what is needed for practical application of neural system verification methods. This workshop will feature short submitted papers that highlight the latest innovations and provide opportunities for feedback on early research ideas, along with invited talks from leaders in the field and a panel discussion.\u003C/p>\u003Cp>\u003Cstrong>Website:\u003C/strong> \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://sites.google.com/view/wfvnnc/\">https://sites.google.com/view/wfvnnc/\u003C/a>\u003C/p>","2025-01-13T17:10:43.457Z","2025-06-27T16:18:04.036Z","2025-01-13T17:10:44.797Z","224",[1893,1900,1907,1914,1920,1927],{"id":945,"name":1894,"committee":15,"position":15,"affiliation":1491,"email":15,"biography":54,"createdAt":1895,"updatedAt":1896,"url_path_id":1897,"contactPhoto":15,"socialLinks":1898,"url_path":1899},"Nicholas Rober","2025-01-13T16:47:27.209Z","2025-01-14T00:00:38.680Z","196",[],"-166",{"id":1195,"name":1901,"committee":15,"position":15,"affiliation":1902,"email":15,"biography":15,"createdAt":1903,"updatedAt":1903,"url_path_id":1904,"contactPhoto":15,"socialLinks":1905,"url_path":1906},"Ifeoluwa Samuel Akinwande","Stanford","2025-01-13T16:47:23.016Z","186",[],"-156",{"id":1291,"name":1908,"committee":15,"position":15,"affiliation":1909,"email":15,"biography":15,"createdAt":1910,"updatedAt":1910,"url_path_id":1911,"contactPhoto":15,"socialLinks":1912,"url_path":1913},"Michael Everett","Northeastern","2025-01-13T16:47:25.982Z","193",[],"-163",{"id":1125,"name":1915,"committee":15,"position":15,"affiliation":1902,"email":15,"biography":15,"createdAt":1916,"updatedAt":1916,"url_path_id":1917,"contactPhoto":15,"socialLinks":1918,"url_path":1919},"Sydney Katz","2025-01-13T16:47:30.429Z","203",[],"-173",{"id":1921,"name":1922,"committee":15,"position":15,"affiliation":1578,"email":15,"biography":15,"createdAt":1923,"updatedAt":1923,"url_path_id":1924,"contactPhoto":15,"socialLinks":1925,"url_path":1926},74,"Chelsea Rose Sidrane","2025-01-13T16:47:16.381Z","171",[],"-141",{"id":888,"name":1928,"committee":15,"position":15,"affiliation":1929,"email":15,"biography":15,"createdAt":1930,"updatedAt":1930,"url_path_id":1931,"contactPhoto":15,"socialLinks":1932,"url_path":1933},"Esen Yel","Rensselaer Polytechnic Institute","2025-01-13T16:47:19.634Z","178",[],"-148","-194",{"id":145,"session":1936},{"id":145,"title":1937,"teaser":1938,"body":1939,"createdAt":1940,"updatedAt":1941,"publishedAt":1942,"url_path_id":1943,"contacts":1944,"url_path":1976},"W15: Capabilities of Large Language Models (LLMs) in Control Design and Decision Making","\u003Cp>\u003Cstrong>Time:\u003C/strong> 8:30am – 5:00pm.  \u003C/p>\u003Cp>\u003Cstrong>Location:\u003C/strong> Governor’s Square 17.\u003C/p>\u003Cp>\u003Cstrong>Abstract: \u003C/strong> Our workshop on the “Capabilities of Large Language Models (LLMs) in Control Design and Decision Making” focuses on a timely and rapidly evolving intersection of artificial intelligence (AI) and control systems. Recent advancements in LLMs have significantly expanded the scope of what AI can accomplish in complex problem-solving, driving applications across domains such as coding, reasoning, mathematics, and science.\u003C/p>","\u003Cp>As LLM capabilities continue to advance, their potential to transform control theory and practice is becoming increasingly evident and impactful. This workshop aims to provide a comprehensive review of various recently-developed results on the capabilities of LLMs in control engineering and decision making. By bringing together experts from control systems, natural language processing, and robotics, the workshop will foster interdisciplinary discussions that highlight how LLMs are being utilized to automate and enhance control design processes, optimize decision-making strategies, and address complex challenges across multiple domains. \u003C/p>\u003Cp>Specific topics covered in this workshop include: i) capabilities of LLMs in answering textbook-level control system questions, ii) advanced techniques for LLM reasoning (e.g. Chain-of-Thoughts, Program-of-Thoughts, Reasoning-via-Planning, self-refinement, tool use, and LLM agents), iii) ControlAgent: combining LLM reasoning with control toolboxes for automating practical control design, vi) combining LLM reasoning with verification tools for automating verification of control systems, v) large agent models, vi) novel applications of LLMs and vision language models (VLMs) for robotic manipulations, and vii) limitations of LLMs for control engineering. Participants will gain insights into LLM reasoning and applications for control engineering, as well as emerging opportunities for integrating LLMs into future control systems. Finally, the workshop will organize a panel to discuss the concerns on the accountability and reliability of LLM-based control design.\u003C/p>\u003Cp>\u003Cstrong>Website:\u003C/strong> \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://agi4engineering.github.io/workshopllm4control/\">https://agi4engineering.github.io/workshopllm4control/\u003C/a>\u003C/p>","2025-01-13T17:11:44.012Z","2025-06-27T16:18:14.992Z","2025-01-13T17:11:51.473Z","225",[1945,1952,1960,1967,1969],{"id":1946,"name":1947,"committee":15,"position":15,"affiliation":1656,"email":15,"biography":15,"createdAt":1948,"updatedAt":1948,"url_path_id":1949,"contactPhoto":15,"socialLinks":1950,"url_path":1951},71,"Bin Hu","2025-01-13T16:47:15.070Z","168",[],"-138",{"id":325,"name":1953,"committee":15,"position":15,"affiliation":1954,"email":15,"biography":54,"createdAt":1955,"updatedAt":1956,"url_path_id":1957,"contactPhoto":15,"socialLinks":1958,"url_path":1959},"Lianhui Qin","University of California at San Diego","2025-01-13T16:47:24.816Z","2025-01-14T00:05:23.519Z","190",[],"-160",{"id":269,"name":1961,"committee":15,"position":15,"affiliation":1962,"email":15,"biography":54,"createdAt":1963,"updatedAt":1963,"url_path_id":1964,"contactPhoto":15,"socialLinks":1965,"url_path":1966},"Peter Seiler","University of Michigan","2024-07-27T14:39:47.292Z","61",[],"-39",{"id":1156,"name":1663,"committee":15,"position":15,"affiliation":1656,"email":15,"biography":15,"createdAt":1664,"updatedAt":1664,"url_path_id":1665,"contactPhoto":15,"socialLinks":1968,"url_path":1667},[],{"id":768,"name":1970,"committee":15,"position":15,"affiliation":1656,"email":15,"biography":54,"createdAt":1971,"updatedAt":1972,"url_path_id":1973,"contactPhoto":15,"socialLinks":1974,"url_path":1975},"Xingang Guo","2025-01-13T16:47:31.667Z","2025-01-13T17:11:49.159Z","206",[],"-176","-195",{"data":1978,"meta":1979},{"id":499,"heading":558,"createdAt":559,"updatedAt":560,"publishedAt":561,"url_path_id":562,"url_path":565,"contentType":84},{},1778851769437]