IEEE North Jersey Section

This presentation will provide a quick overview of state-of-the-art smart radar sensors enabled by advanced digital/RF beamforming, multiple-input and multiple-output (MIMO), synthetic aperture radar (SAR), and deep learning. A few examples of interferometry, Doppler, frequency-shift keying (FSK), and frequency-modulated continuous-wave (FMCW) radar sensors operating at 5.8 GHz, 24 GHz, and 120 GHz will be demonstrated. Then, the presentation will focus on the emerging security and resilience aspects of modern radar sensors as they become ubiquitous in many sectors of modern life. Finally, the talk will discuss future industrial, government, and academic R&D outlook for the security of modern radar sensors and open the floor for interactive discussions with the audience.Please click the link for registration for attending the webinar: ((https://event.on24.com/wcc/r/3601544/0B32D37C9ADC7E73E22DC4A02738A6A4))Co-sponsored by: IEEE North Jersey SectionSpeaker(s): Prof. Changzhi Li, Agenda: Please click the link for registration for attending the webinar: ((https://event.on24.com/wcc/r/3601544/0B32D37C9ADC7E73E22DC4A02738A6A4))Bldg: Virtual , Virtual Technical Webinar Meeting, Virtual, New Jersey, United States

NOTICE - This session will be paid for by the North Jersey Section PES as a courtesy to our members and prospective members during these challenging times of COVID-19. There will be no charge for participation and Continuing Education Unit credits.This session is being offered as a GoToMeeting (details below).The seminar will cover:Proliferation of Distributed Energy Resources - Challenges presented by DER's and FERC Order 2222 to Network Planning and OperationsWe will cover:- Challenges presented by DER’s and FERC Order 2222- Utility Planning- T&D Integrated Planning (IRP)- Non-Wire Alternative/Hosting Capacity- Utility Operations- Demand Response/Virtual Power Plant- Storage Penetration – Utility and BTM- Dynamic Stability AnalysisSpeaker(s): Sankaran Rajagopal, Jim WaightAgenda: Two hours of instruction will be provided.This session is being offered as a GoToMeeting:https://global.gotomeeting.com/join/708051445You must register through VTools in advance in order to receive your CEU Certificate. PLEASE NOTE: Your certificate will go to the email address you use to register through VTools and will have your name exactly as you enter it when registering. It will come from “IEEE Certificate ” Please make sure this address is in your safe senders list. If you have any problems with receipt of your CEU Certificates, please contact eab-ceuadmin@ieee.orgPlease check your GoToMeeting connection in advance as there will be no support available.Virtual: https://events.vtools.ieee.org/m/299600

5G and edge computing will serve various emerging use cases that have diverse requirements for multiple resources, e.g., radio, transportation, and computing. Network slicing is a promising technology for creating virtual networks that can be customized according to the requirements of different use cases. Provisioning network slices requires end-to-end resource orchestration which is challenging. This talk will discuss the challenges of end-to-end network slicing in wireless edge computing systems and present machine learning assisted network slicing solutions. First, the design of a new decentralized cross-domain resource orchestration solution will be presented. This solution optimizes the cross-domain resource orchestration while providing the performance and functional isolations among network slices. Second, a decentralized deep reinforcement learning algorithm will be designed to dynamically orchestrate resources for end-to-end network slicing. The system implementation and testbed design of the end-to-end network slicing system will also be discussed. Finally, future research directions in designing end-to-end network slicing solutions with machine learning will be shared.Co-sponsored by: North Jersey Section, Signal Processing Chapter,Speaker(s): Dr. Tao Han, Agenda: 5G and edge computing will serve various emerging use cases that have diverse requirements for multiple resources, e.g., radio, transportation, and computing. Network slicing is a promising technology for creating virtual networks that can be customized according to the requirements of different use cases. Provisioning network slices requires end-to-end resource orchestration which is challenging. This talk will discuss the challenges of end-to-end network slicing in wireless edge computing systems and present machine learning assisted network slicing solutions. First, the design of a new decentralized cross-domain resource orchestration solution will be presented. This solution optimizes the cross-domain resource orchestration while providing the performance and functional isolations among network slices. Second, a decentralized deep reinforcement learning algorithm will be designed to dynamically orchestrate resources for end-to-end network slicing. The system implementation and testbed design of the end-to-end network slicing system will also be discussed. Finally, future research directions in designing end-to-end network slicing solutions with machine learning will be shared.Room: M105, Bldg: Muscarelle Center, M105, , 1000 River Road , Teaneck , New Jersey, United States, 07666, Virtual: https://events.vtools.ieee.org/m/301143

The search for extraterrestrial life is one of the most exciting frontiers in science. First tentative clues were identified close to Earth in the form of the unusual interstellar object 'Oumuamua' and Unidentified Aerial Phenomena (UAP) in the Earth's atmosphere. The recently announced "(https://projects.iq.harvard.edu/galileo)" ushers the new frontier of "space archeology" in search of extraterrestrial technological relics. This lecture will feature content from the speaker's books "(https://www.hmhbooks.com/shop/books/Extraterrestrial/9780358274551)" and textbook "(https://www.hup.harvard.edu/catalog.php?isbn=9780674987579)", both published in 2021, as well as material from his frequent (https://lweb.cfa.harvard.edu/~loeb/Opinion.html).Co-sponsored by: North Jersey SSIT Chapter, Phoenix SSIT Chapter, SSIT Students Activities CommitteeSpeaker(s): Dr Avi Loeb, Oakton, Virginia, United States, Virtual: https://events.vtools.ieee.org/m/300346

Prasenjit Bhadra will give a seminar online on the design of autonomous systems in the Industry 4.0 Era - how convergence of cognitive AI and robotic process automation is shaping the innovation.Speaker(s): Prasenjit Bhadra, Bldg: Virtual , Virtual Technical Webinar Meeting, Virtual, New Jersey, United States, Virtual: https://events.vtools.ieee.org/m/303669

NOTICE - This session will be paid for by the North Jersey Section PES as a courtesy to our members and prospective members during these challenging times of COVID-19. There will be no charge for participation and Continuing Education Unit credits.This session is being offered as a GoToMeeting (details below).The seminar will cover:Engineering EthicsSpeaker(s): Constantine Papademas, Agenda: Two hours of instruction will be provided.This session is being offered as a GoToMeeting:https://meet.goto.com/584933781You must register through VTools in advance in order to receive your CEU Certificate. PLEASE NOTE: Your certificate will go to the email address you use to register through VTools and will have your name exactly as you enter it when registering. It will come from “IEEE Certificate ” Please make sure this address is in your safe senders list. If you have any problems with receipt of your CEU Certificates, please contact eab-ceuadmin@ieee.orgPlease check your GoToMeeting connection in advance as there will be no support available.Virtual: https://events.vtools.ieee.org/m/304440