BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251218T171451Z UID:0924E65B-9BF4-41D8-8BCF-F8C4E26F2C7B DTSTART;TZID=America/Chicago:20251205T182000 DTEND;TZID=America/Chicago:20251205T192000 DESCRIPTION:Title of the talk: Enhancing Localization Trustworthiness in GP S-Challenged Autonomous Systems  \n\nAbstract: Autonomous vehicles (AV s) and unmanned aerial vehicles (UAVs) rely extensively on GPS for navigat ion\, leaving them exposed to spoofing and other localization attacks that can misdirect autonomous systems and undermine operational safety. This t alk presents a structured progression of research aimed at strengthening l ocalization security\, beginning with single-sensor approaches that levera ge inertial measurements and visual cues to detect inconsistencies between vehicle motion\, reported GPS coordinates\, and environmental context. Bu ilding on the insights gained from single-sensor modalities\, the research advances toward multi-modal localization security\, integrating informati on from LiDAR\, cameras\, IMUs\, and geospatial map data to more reliably detect compromised positioning signals\, particularly in GPS-challenged or adversarial environments. The talk also highlights emerging attack surfac es in both AV and UAV ecosystems\, including vulnerabilities in broadcast identification\, cooperative perception\, and multi-modal AI models. Colle ctively\, this work demonstrates how fused sensing and AI-driven analysis can significantly enhance the resilience and trustworthiness of next-gener ation autonomous systems.\n\nSpeaker: Prof. Peng Jiang\, University of Neb raska at Omaha\n\nShort Bio: Dr. Peng Jiang is an Assistant Professor of C ybersecurity at the University of Nebraska at Omaha (UNO). His research li es at the intersection of artificial intelligence and cybersecurity\, with a particular focus on designing intelligent\, adaptive systems that detec t and mitigate emerging threats in wireless communications\, autonomous ve hicles\, and other cyber–physical systems. He holds a B.S. in Communicat ion Engineering from Chongqing University of Posts and Telecommunications (2014) and both an M.E. and Ph.D. in Electrical and Computer Engineering f rom Old Dominion University (2017 and 2024\, respectively).He has received several awards and honors\, including an NSF CISE Research Initiation Ini tiative (CRII) Award in 2025\, the University of Nebraska at Omaha Researc h and Creative Activity Award in 2025\, and the PEARC 2025 Best Paper Awar d.\n\nCo-sponsored by: EECS\, South Dakota State University \n\nSpeaker(s) : Peng Jiang\, \n\nRoom: 218\, Bldg: Daktronics Engineering Hall\, DEH 218 \, South Dakota State University\, Brookings\, South Dakota\, United State s\, 57006 LOCATION:Room: 218\, Bldg: Daktronics Engineering Hall\, DEH 218\, South Da kota State University\, Brookings\, South Dakota\, United States\, 57006 ORGANIZER:kwanghee.won@sdstate.edu SEQUENCE:17 SUMMARY:Siouxland Section Computer Society Speaker Event: Enhancing Localiz ation Trustworthiness in GPS-Challenged Autonomous Systems URL;VALUE=URI:https://events.vtools.ieee.org/m/519570 X-ALT-DESC:Description: <br /><p><strong>Title of the talk</strong>: <span data-olk-copy-source="MessageBody">Enhancing Localization Trustworthiness in GPS-Challenged Autonomous Systems&ensp\;&ensp\;</span></p>\n<p><span da ta-olk-copy-source="MessageBody"><strong>Abstract</strong>: Autonomous veh icles (AVs) and unmanned aerial vehicles (UAVs) rely extensively on GPS fo r navigation\, leaving them exposed to spoofing and other localization att acks that can misdirect autonomous systems and undermine operational safet y. This talk presents a structured progression of research aimed at streng thening localization security\, beginning with single-sensor approaches th at leverage inertial measurements and visual cues to detect inconsistencie s between vehicle motion\, reported GPS coordinates\, and environmental co ntext. Building on the insights gained from single-sensor modalities\, the research advances toward multi-modal localization security\, integrating information from LiDAR\, cameras\, IMUs\, and geospatial map data to more reliably detect compromised positioning signals\, particularly in GPS-chal lenged or adversarial environments. The talk also highlights emerging atta ck surfaces in both AV and UAV ecosystems\, including vulnerabilities in b roadcast identification\, cooperative perception\, and multi-modal AI mode ls. Collectively\, this work demonstrates how fused sensing and AI-driven analysis can significantly enhance the resilience and trustworthiness of n ext-generation autonomous systems.</span></p>\n<p><span data-olk-copy-sour ce="MessageBody"><strong>Speaker:</strong> Prof. Peng Jiang\, University o f Nebraska at Omaha</span></p>\n<p><span data-olk-copy-source="MessageBody "><strong>Short Bio:</strong> Dr.&nbsp\;<span class="markpxlc9b4es" data-m arkjs="true" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="">Peng</spa n> Jiang is an Assistant Professor of Cybersecurity&nbsp\;at the Universit y of Nebraska at Omaha (UNO). His research lies at the intersection of art ificial intelligence and cybersecurity\, with a particular focus on design ing intelligent\, adaptive systems that detect and mitigate emerging threa ts in wireless communications\, autonomous vehicles\, and other cyber&ndas h\;physical systems. He holds a B.S. in Communication Engineering from Cho ngqing University of Posts and Telecommunications (2014) and both an M.E. and Ph.D. in Electrical and Computer Engineering from Old Dominion Univers ity (2017 and 2024\, respectively).He has received several awards and hono rs\, including an NSF CISE Research Initiation Initiative (CRII) Award in 2025\, the University of Nebraska at Omaha Research and Creative Activity Award in 2025\, and the PEARC 2025 Best Paper Award.&nbsp\;</span></p> END:VEVENT END:VCALENDAR