ACM Baltimore Chapter 5th Seminar

Monday, February 13, 2023





5:00 PM – 8:00 PM (EST), Monday, FEBRUARY 13, 2023

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.

JOIN FREE: The registration is FREE!


(Talks will be Streamed Live/All Times are US Eastern Time)

5:00 PM – 5:30 PM ESTNetworking and Refreshment
5:30 PM – 5:50 PM ESTWelcome Address and ACM Baltimore Chapter Update
5:50 PM – 6:40 PM ESTInvited Talk: 6G, XR and the Metaverse – A Silicon Valley View (Prof. Mischa Dohler, VP Emerging Technologies, Ericsson Inc.)
6:40 PM – 6:50 PM ESTBREAK
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 ESTFuture plans and Vote of Thanks


Johns Hopkins University Applied Physics Laboratory
(JHU/APL), 201-117, 11091 Johns Hopkins Road,
Laurel, MD 20723 Visitor’s Information

On behalf of ACM Baltimore Chapter
Ashutosh Dutta, Chair, ACM Baltimore Chapter
Contact: or +1 908-642-8593


Remote attendees can join the seminar via online using the Zoom link given below

ID: 161 017 2154 PASSWORD: 425396
More details about Baltimore ACM Chapter can be found:

6G, XR and the Metaverse – A Silicon Valley View

Mischa Dohler is now VP Emerging Technologies at Ericsson Inc. in Silicon Valley, work- ing 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 com- panies; composer & pianist with 5 albums on Spotify/iTunes; and fluent in several lan- guages. 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 broad- band, IoT/M2M and cyber security standards, holds a dozen patents, organized and chaired numer- ous conferences, was the Editor-in-Chief of two journals, has more than 300 highly-cited publica- tions, 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 compa- ny 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 Or- ange/France Telecom from 2005-2008.

A Dual-Blind Deconvolution Perspective of Integrated Sensing and Communications

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.


More details about Baltimore ACM Chapter can be found:

Recording of the Event

ACM Baltimore Chapter 7th Seminar
Wednesday, Apr 17th, 2024 @ 05:15 PM

Seminar on Advancements in Chest X-ray Analysis: Deep Learning Models Addressing Domain Generalization and Anatomy-aware Learning