ACM Baltimore Chapter 5th Seminar Recording
Monday, February 13, 2022, 5:00 PM – 8:00 PM EST
6G, XR and the Metaverse – A Silicon Valley View
A Dual-Blind Deconvolution Perspective of Integrated Sensing and Communications
ON-SITE VENUE
Johns Hopkins University Applied Physics Laboratory (JHU/APL),
201-117, 11091 Johns Hopkins Road, Laurel, MD 20723
Visitor Information
REMOTE/ ONLINE AVAILABILITY
Remote attendees can join the seminar via online using the Zoom link given below:
https://jhuapl.zoomgov.com/j/1610172154?pwd=RW51MmxURzFTUjBHdm9vZTM1VzNYUT09
Tiny URL: bit.ly/ACM-Baltimore-13Feb
ID: 161 017 2154
Password: 425396
Free registration (in-person and remote) is open.
ACM, the Association for Computing Machinery, is the world’s largest educational and scientific computing
society, uniting educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. The Baltimore ACM Professional Chapter was recently formed to help organize monthly seminar, professional meetings and networking events, professional development workshops, and provide collaboration opportunities with computing organizations and research labs in the DC, Maryland and Virginia area. ACM Baltimore Chapter is scheduled to organize the fifth seminar on Monday, February 13, 2023.
Agenda: (Talks will be Streamed Live/All Times are US Eastern Time)
- 5:00 PM – 5:30 PM EST Networking and Refreshment
- 5:30 PM – 5:50 PM EST Welcome Address and ACM Baltimore Chapter Update
- 5:50 PM – 6:40 PM EST Invited Talk: 6G, XR and the Metaverse – A Silicon Valley View
(Prof. Mischa Dohler, VP Emerging Technologies, Ericsson Inc.) - 6:40 PM – 6:50 PM EST BREAK
- 6:50 PM – 7:40 PM EST Invited Talk: A Dual-Blind Deconvolution Perspective of Integrated Sensing
and Communications (Kumar Vijay Mishra, USA Research Lab., Adelphi, MD) - 7:40 PM – 8:00 PM EST Future plans and Vote of Thanks
Speaker Bios:
Mischa Dohler is now VP Emerging Technologies at Ericsson Inc. in Silicon Valley, working on cutting-edge topics of 6G, Metaverse, XR, Quantum and Blockchain. He serves on the Technical Advisory Committee of the FCC and on the Spectrum Advisory Board of Ofcom. He is a Fellow of the IEEE, the Royal Academy of Engineering, the Royal Society of Arts (RSA), the Institution of Engineering and Technology (IET); and a Distinguished Member of Harvard Square Leaders Excellence. He is a serial entrepreneur with 5 companies; composer & pianist with 5 albums on Spotify/iTunes; and fluent in several languages. He has had ample coverage by national and international press and media, and is featured on Amazon Prime. He is a frequent keynote, panel and tutorial speaker, and has received numerous awards. He has pioneered several research fields, contributed to numerous wireless broadband, IoT/M2M and cyber security standards, holds a dozen patents, organized and chaired numerous conferences, was the Editor-in-Chief of two journals, has more than 300 highly-cited publications, and authored several books. He is a Top-1% Cited Innovator across all science fields globally. He was Professor in Wireless Communications at King’s College London and Director of the Centre for Telecommunications Research from 2013-2021, driving cross-disciplinary research and innovation in technology, sciences and arts. He is the Cofounder and former CTO of the IoT-pioneering company Worldsensing; cofounder and former CTO of the AI-driven satellite company SiriusInsight.AI, and cofounder of the sustainability company Movingbeans. He also worked as a Senior Researcher at Orange/France Telecom from 2005-2008.
Kumar Vijay Mishra (S’08-M’15-SM’18) 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 Medal, Honors) in electronics and communication engineering from the National Institute of Technology, Hamirpur (NITH), India in 2003. He is currently Senior Fellow at the United States DEVCOM Army Research Laboratory
(ARL), Adelphi; Technical Adviser to Singapore-based automotive radar start-up Hertzwell and Boston-based imaging radar startup Aura Intelligent Systems; and honorary Research Fellow at SnT – Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg. He is the Distinguished Lecturer of the IEEE Communications Society (2023-2024), IEEE Aerospace and Electronic Systems Society (AESS) (2023-2024), and IEEE Future Networks Initiative (2022). He has
received Best Paper Awards at IEEE MLSP 2019 and IEEE ACES Symposium 2019. is Chair (2023-present) of the Synthetic Apertures Technical Working Group of the IEEE Signal Processing Society (SPS) and Vice-Chair (2021-present) of the IEEE Synthetic Aperture Standards Committee, which is the first SPS standards committee. He is the Vice Chair (2021-2023) and Chair-designate (2023-2026) of the International Union of Radio Science (URSI) Commission C. He has been an elected member of three technical committees of IEEE SPS: SPCOM, SAM, and ASPS, and IEEE AESS Radar Systems Panel. Since 2020, he has been Associate Editor of IEEE Transactions on Aerospace and Electronic Systems, where he was awarded Outstanding Editor recognition in 2021. He is the lead co-editor of three upcoming books: Signal Processing for Joint Radar-Communications (Wiley-IEEE Press), Next-Generation Cognitive Radar Systems (IET Press Radar, Electromagnetics & Signal Processing Technologies Series), and Advances in Weather Radar Volumes 1, 2 & 3 (IET Press Radar, Electromagnetics & Signal Processing Technologies Series). His research interests include radar systems, signal processing, remote sensing, and electromagnetics.
Recordings of the previous seminars: https://www.youtube.com/watch?v=lqs7Wo1L7hE
More details about Baltimore ACM Chapter can be found at: https://baltimore.acm.org
Contact: [email protected] or +1 908-642-8593
Abstract: In the last few decades, most robotics success stories have been limited to structured or controlled environments. A major challenge is to develop robot systems that can operate in complex or unstructured environments corresponding to homes, dense traffic, outdoor terrains, public places, etc. In this talk, we give an overview of our ongoing work on developing robust planning and navigation technologies that use recent advances in computer vision, sensor technologies, machine learning, and motion planning algorithms. We present new methods that utilize multi-modal observations from an RGB camera, 3D LiDAR, and robot odometry for scene perception, along with deep reinforcement learning for reliable planning. The latter is also used to compute dynamically feasible and spatial aware velocities for a robot navigating among mobile obstacles and uneven terrains. We have integrated these methods with wheeled robot and legged platforms and highlight their performance in crowded indoor scenes and dense outdoor terrains.
Bio: Dinesh Manocha is Paul Chrisman-Iribe Chair in Computer Science & ECE and Distinguished University Professor at University of Maryland College Park. His research interests include virtual environments, physically-based modeling, and robotics. His group has developed a number of software packages that are standard and licensed to 60+ commercial vendors. He has published more than 700 papers & supervised 43 PhD dissertations. He is a Fellow of AAAI, AAAS, ACM, and IEEE, member of ACM SIGGRAPH Academy, and Bézier Award from Solid Modeling Association. He received the Distinguished Alumni Award from IIT Delhi the Distinguished Career in Computer Science Award from Washington Academy of Sciences. He was a co-founder of Impulsonic, a developer of physics-based audio simulation technologies, which was acquired by Valve Inc in November 2016.
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