Event
ACM Baltimore event: Next Gen Hybrid Networks, their Management and Automotive Radar Networks
Thursday, April 27, 2023
5:00 p.m.-8:00 p.m.
JHUAPL in Laurel, and on Zoom
Ashutosh Dutta
301 405 6602
ashutosh.dutta@jhuapl.edu
https://forms.gle/vR8QwaA28ZY5i5NW8
ACM Baltimore Chapter 6th Seminar (In-Person and Online)
Next Generation Hybrid Networks and their Management and Automotive Radar Networks
ACM Baltimore Chapter Seminar - Thursday, April 27, 2023, 5:00 PM – 8 PM (ET US)
Register Free - https://forms.gle/vR8QwaA28ZY5i5NW8
JHU/APL, 201-117, 11091 JOHNS HOPKINS ROAD, LAUREL, MD 20723
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REMOTE/ ONLINE AVAILABILITY
Remote attendees can join the seminar via online using the Zoom link given below:
https://jhuapl.zoomgov.com/j/1613922123?pwd=dUxnWWdaNVFVdjhPYnNjdi9WWE1tdz09
Meeting ID: 161 392 2123
Password: 514919
JOIN FREE and Register here: https://forms.gle/vR8QwaA28ZY5i5NW8
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 sixth seminar on Thursday, April 27, 2023.
AGENDA: (Talks will be Streamed Live/All Times are US Eastern Time)
(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 Next Generation Hybrid Networks and their Management
(John S. Baras, Hybrid Networks Center, University of Maryland College Park)
6:40 PM – 6:50 PM EST BREAK
6:50 PM – 7:40 PM EST Invited Talk: Automotive Radar Networks (Sumit Roy, Fundamentals of Networking Lab, Dept. of Electrical & Comp. Engineering, University of Washington, Seattle)
7:40 PM – 8:00 PM EST Future plans and Vote of Thanks
Biographies
John S. Baras (IEEE Life Fellow) is a Distinguished University Professor, holding the Lockheed Martin Chair in Systems Engineering and a Permanent Joint Appointment with the Institute for Systems Research (ISR) and the ECE Department at the University of Maryland College Park (UMD). He received his Ph.D. degree in Applied Mathematics from Harvard University, in 1973, and he has been with UMD since then. From 1985 to 1991, he was the Founding Director of the ISR. Since 1992, he has been the Director of the Maryland Center for Hybrid Networks (HYNET), which he cofounded. He is a Fellow of IEEE (Life), SIAM, AAAS, NAI, IFAC, AMS, AIAA, Member of the National Academy of Inventors(NAI) and a Foreign Member of the Royal Swedish Academy of Engineering Sciences (IVA). Major honors and awards include the 1980 George Axelby Award from the IEEE Control Systems Society, the 2006 Leonard Abraham Prize from the IEEE Communications Society, the 2017 IEEE Simon Ramo Medal, the 2017 AACC Richard E. Bellman Control Heritage Award, and the 2018 AIAA Aerospace Communications Award. In 2016 he was inducted in the University of Maryland A. J. Clark School of Engineering Innovation Hall of Fame. In June 2018 he was awarded a Doctorate Honoris Causa by his alma mater the National Technical University of Athens, Greece. His research interests include systems, control, optimization, autonomy, machine learning, artificial intelligence, communication networks, applied mathematics, signal processing and understanding, robotics, computing systems, formal methods and logic, network security and trust, systems biology, healthcare management, modelbased systems engineering. He has been awarded nineteen patents, one software copyright, and honored with many awards world-wide, as innovator and leader of economic development.
Talk Abstract: Next generation terrestrial wireless networks are rapidly evolving thanks to new technologies including 5G/6G. Software Defined Networks (SDN) and Network Function Virtualization (NFV) are technologies that have revolutionized the deployment, efficiency and dynamic management of terrestrial wireline networks, through virtualization, and have been instrumental in realizing networks as a service (NAAS). In order to realize the full potential of these technologies in both commercial and defense applications next generation hybrid networks (NextGenHyNet) have emerged, consisting of broadband terrestrial wireline networks, 5G/6G wireless networks, drones and satellites (LEOs and MEOs). This integration promises fast and economic deployment of broadband connectivity to maximum number of users, even in difficult, remote and underdeveloped regions. We describe several key challenges for the integration of these technologies from the perspective of dynamic network management, security and quality of experience. These are due primarily to the heterogeneity of the network, the great heterogeneity of traffic demand (delay and bandwidth requirements), different component dynamics, and the overall cost of deployment. We present our approaches to address these challenges. We close with brief descriptions of many applications of these next generation networks and of the services they enable.
Sumit Roy (Fellow, IEEE 2007) received the B. Tech. degree from the Indian Institute of Technology (Kanpur) in 1983, and the M. S. and Ph. D. degrees from the University of California (Santa Barbara), all in Electrical & Comp. Engineering (1985 and 1988 re- spectively), as well as an M. A. in Statistics and Applied Probability (1988). His previous academic appointments were at the Moore School of Electrical Engineering, the University of Pennsylvania, and at the University of Texas, San Antonio. His research interests and technology expertise spans analysis/design and prototyping of wireless communication systems/networks, with an emphasis on various technologies: 5G wireless LANs (802.11ax), 5G New Radio and emerging 5G/beyond 5G standards for vehicular (terrestrial and airborne) networks, multi-standard inter-networking/coexistence and dynamic spectrum access solutions for spectrum sharing. He was elevated to IEEE Fellow by the Communications Society for ``contributions to multi-user communications theory and cross-layer design of wireless networking standards” and held the ECE-CoE Integrated Systems Term Professorship (2014-19) at Univ. of Washington in recognition of his international reputation in the area.
He continues to be professionally active in IEEE Communications Society (ComSoc) - notably IEEE Future Networks Initiative (https://futurenetworks.ieee.org/) for which he currently serves as Distinguished Lecturer. He has served as Associate Editor for all the major ComSoc publications (IEEE Trans. Communications, IEEE J. Sel. Areas of Communications, IEEE Trans. on Wireless Communications, IEEE Trans. Mobile Computing) at various times and was previously selected for two stints as IEEE ComSoc Distinguished Lecturer (2013-2015, 2017-18). He was also elected to Executive Comm. Member for the National Spectrum Consortium (www.nationalspectrumconsortium.org). Between Sep. 2020-22, he served as Program Lead for Innovate Beyond 5G program within US DoD Office of Under Secy. R&E’s 5G-to-xG initiative https://www.cto.mil/5g.
Talk Abstract
This talk will present an overview of recent research around the use of vehicular radar for advanced driver assistance systems (en route to a future vision of autonomous driving). Wideband (typically FMCW or chirp) radars are increasingly deployed onboard vehicles as key high-resolution sensor for environmental mapping/imaging and various safety features. The talk will focus on the evolving role of radar `cognition’ in complex operating environments to address two important future challenges:
1. Mitigating multi-access interference among Radars (e.g. dense traffic scenario)
The talk will first illustrate the impact of mutual interference on detection performance in Chirp/FMCW radars and then highlight some multi-access protocol design approaches for effective resource sharing among multiple radars.
2. Contributions to radar vision via new radar hardware (MIMO radar) + associated advanced signal processing (Synthetic Aperture principles) as well as Convolutional Neural Network (`Radar Net’) based machine learning approach for enhanced object detection/classification in challenging circumstances.
Recording LINK of the previous seminars:
https://www.youtube.com/channel/UCYCugnHAd6oEoLTBEkmtX1A
More details about Baltimore ACM Chapter can be found at
