BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260830T193552Z UID:E6A26E4E-A2CB-4BCA-83F3-31E530D521F7 DTSTART;TZID=America/New_York:20260831T084500 DTEND;TZID=America/New_York:20260831T094500 DESCRIPTION:ABSTRACT:\n\nElectromagnetic waves are characterized by their a mplitude\, frequency\, and state of polarization -- also referred to as sp in angular momentum (SAM)\, associated with circular polarization and reco gnized for over two centuries. In contrast\, over the past three decades\, growing attention has been directed toward orbital angular momentum (OAM) \, which arises from helical (twisted) phase fronts and provides an additi onal degree of freedom through its orthogonal modal structure. In this tal k\, we explore the use of OAM for integrated sensing and communications (I SAC)\, with the goal of enhancing spectral efficiency and spatial resoluti on in automotive scenarios. Unlike conventional uniform circular array (UC A)-based implementations\, our approach employs a uniform linear array (UL A) with traveling-wave antennas to synthesize multiple Laguerre-Gaussian v ortex beams. The proposed system embeds communication data within radar wa veforms while enabling joint estimation of target position and velocity us ing radar-only frames. An OAM-based mode-division multiplexing strategy is used to separate sensing and communication functionalities\, ensuring rel iable parameter recovery. We conclude with perspectives on the future of I SAC systems.\n\nBIO:\n\nKumar Vijay Mishra obtained a Ph.D. in electrical engineering and M.S. in mathematics from The University of Iowa in 2015\, and M.S. in electrical engineering from Colorado State University in 2012\ , while working on NASA’s Global Precipitation Mission Ground Validation (GPM-GV) weather radars. He received his B. Tech. summa cum laude (Gold M edal\, Honors) in electronics and communication engineering from the Natio nal Institute of Technology\, Hamirpur (NITH)\, India in 2003. He is a Sen ior Fellow at the United States DEVCOM Army Research Laboratory\; 2026 BEL Endowed Visiting Chair Professor in Radar Systems at the Indian Institute of Science\, Bangalore\; and Technical Adviser to Singapore-based automot ive radar start-up Hertzwell.\n\nDr. Mishra is Fellow of International Uni on of Radio Science (URSI). He has served as the Distinguished Lecturer of five IEEE societies and Optica. He is the recipient of the IEEE AESS Harr y Rowe Mimno Award (2026)\, SAE International Award for Excellence in Inno vation (2025)\, IEEE Signal Processing Society Pierre-Simon Laplace Early Career Technical Achievement Award (2024)\, IET Premium Best Paper Prize ( 2021)\, IEEE T-AES Outstanding Editor (2021\, 2023\, 2024\, 2025)\, and U. S. National Academies Harry Diamond Distinguished Fellowship (2018-2021). \n\nDr. Mishra is Chair (2023-2029)\, URSI Commission C and Chair (2025-) of IEEE AESS Technical Working Group on Integrated Sensing and Communicati ons (ISAC-TWG). He is Editor-in-Chief (EiC) of River Rapids Series in Rada r Systems\, Signal Processing\, Antennas and Electromagnetics (2025-)\, Ed itor (Deputy EiC) of Radio Science (2025-)\, Senior Area Editor of IEEE Tr ansactions on Signal Processing (2024-)\, and Associate Editor of IEEE Tra nsactions on Aerospace and Electronic Systems (2020-) and IEEE Transaction s on Antennas and Propagation (2023-). He is the lead co-editor of several books on signal processing and radar: Signal Processing for Joint Radar-C ommunications (Wiley-IEEE Press\, 2024)\, Next-Generation Cognitive Radar Systems (IET Press Electromagnetics and Radar Series\, 2023)\, Advances in Weather Radar Volumes 1\, 2 & 3 (IET Press Electromagnetics and Radar Ser ies\, 2023)\, and Handbook of Statistics 54: Multidimensional Signal Proce ssing (Elsevier). His research interests include radar systems\, signal pr ocessing\, remote sensing\, and electromagnetics.\n\nRoom: EC3930\, Bldg: FIU EC\, 10555 West Flagler Street\, Miami\, Florida\, United States\, 331 74 LOCATION:Room: EC3930\, Bldg: FIU EC\, 10555 West Flagler Street\, Miami\, Florida\, United States\, 33174 ORGANIZER:jlnu003@fiu.edu SEQUENCE:7 SUMMARY:Twisted Signals for ISAC Exploring OAM for Integrated Sensing and C ommunications URL;VALUE=URI:https://events.vtools.ieee.org/m/574973 X-ALT-DESC:Description: <br /><p>ABSTRACT:</p>\n<p>Electromagnetic waves ar e characterized by their amplitude\, frequency\, and state of polarization -- also referred to as spin angular momentum (SAM)\, associated with circ ular polarization and recognized for over two centuries. In contrast\, ove r the past three decades\, growing attention has been directed toward orbi tal angular momentum (OAM)\, which arises from helical (twisted) phase fro nts and provides an additional degree of freedom through its orthogonal mo dal structure. In this talk\, we explore the use of OAM for integrated sen sing and communications (ISAC)\, with the goal of enhancing spectral effic iency and spatial resolution in automotive scenarios. Unlike conventional uniform circular array (UCA)-based implementations\, our approach employs a uniform linear array (ULA) with traveling-wave antennas to synthesize mu ltiple Laguerre-Gaussian vortex beams. The proposed system embeds communic ation data within radar waveforms while enabling joint estimation of targe t position and velocity using radar-only frames. An OAM-based mode-divisio n multiplexing strategy is used to separate sensing and communication func tionalities\, ensuring reliable parameter recovery. We conclude with persp ectives on the future of ISAC systems.</p>\n<p>BIO:</p>\n<p>Kumar Vijay Mi shra obtained a Ph.D. in electrical engineering and M.S. in mathematics fr om The University of Iowa in 2015\, and M.S. in electrical engineering fro m Colorado State University in 2012\, while working on NASA&rsquo\;s Globa l Precipitation Mission Ground Validation (GPM-GV) weather radars. He rece ived his B. Tech. summa cum laude (Gold Medal\, Honors) in electronics and communication engineering from the National Institute of Technology\, Ham irpur (NITH)\, India in 2003. He is a Senior Fellow at the United States D EVCOM Army Research Laboratory\; 2026 BEL Endowed Visiting Chair Professor in Radar Systems at the Indian Institute of Science\, Bangalore\; and Tec hnical Adviser to Singapore-based automotive radar start-up Hertzwell.</p> \n<p>&nbsp\;</p>\n<p>Dr. Mishra is Fellow of International Union of Radio Science (URSI). He has served as the Distinguished Lecturer of five IEEE s ocieties and Optica. He is the recipient of the IEEE AESS Harry Rowe Mimno Award (2026)\, SAE International Award for Excellence in Innovation (2025 )\, IEEE Signal Processing Society Pierre-Simon Laplace Early Career Techn ical Achievement Award (2024)\, IET Premium Best Paper Prize (2021)\, IEEE T-AES Outstanding Editor (2021\, 2023\, 2024\, 2025)\, and U. S. National Academies Harry Diamond Distinguished Fellowship (2018-2021).</p>\n<p>&nb sp\;</p>\n<p>Dr. Mishra is Chair (2023-2029)\, URSI Commission C and Chair (2025-) of IEEE AESS Technical Working Group on Integrated Sensing and Co mmunications (ISAC-TWG). He is Editor-in-Chief (EiC) of River Rapids Serie s in Radar Systems\, Signal Processing\, Antennas and Electromagnetics (20 25-)\, Editor (Deputy EiC) of Radio Science (2025-)\, Senior Area Editor o f IEEE Transactions on Signal Processing (2024-)\, and Associate Editor of IEEE Transactions on Aerospace and Electronic Systems (2020-) and IEEE Tr ansactions on Antennas and Propagation (2023-). He is the lead co-editor o f several books on signal processing and radar: Signal Processing for Join t Radar-Communications (Wiley-IEEE Press\, 2024)\, Next-Generation Cogniti ve Radar Systems (IET Press Electromagnetics and Radar Series\, 2023)\, Ad vances in Weather Radar Volumes 1\, 2 &amp\; 3 (IET Press Electromagnetics and Radar Series\, 2023)\, and Handbook of Statistics 54: Multidimensiona l Signal Processing (Elsevier). His research interests include radar syste ms\, signal processing\, remote sensing\, and electromagnetics.<br><br><im g src="https://events.vtools.ieee.org/vtools_ui/media/display/7f72ad93-18a c-4f8f-b94e-f169a8362a33"></p> END:VEVENT END:VCALENDAR