IEEE North Jersey Section

Distributed Machine Learning for FPGAs in the Cloud Machine Learning (ML) is a growing area in both research and applications. Trends include larger and larger ML models and the interest in getting results from ML with low latency and high throughput. To address these trends, researchers are increasingly looking at accelerators (such as Graphics Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs), especially those that are directly connected to the network to achieve low latency access to data. In this talk, I will introduce the Open Cloud Testbed (OCT): https://octestbed.org/ OCT is available to researchers who are interested in conducting cloud research with accelerators. We provide GPUS, FPGAs, and AI engines from AMD. The FPGAs and AI engines are directly connected to the network. I will discuss experiments on using OCT for distributed ML using multiple network connected FPGAs. Specifically I will present results for running Resnet50 inference on the imagenet dataset. No hardware knowledge is assumed for this webinar. Speaker(s): Miriam Virtual: https://events.vtools.ieee.org/m/473027

This lecture will provide an introduction to electronic warfare (EW) concepts and principles. The intent is familiarize the audience with EW concepts and achieve an understanding of how EW is used to interrupt radar processing chains. This will include a general discussion on the EW field, including applications outside radar specific uses and terminology widely used within the field. A historical development of the EW field will be presented to motivate importance and historical use. Basic EW techniques (e.g. noise, range/velocity techniques, etc.) with associated effects on nominal radars will be presented/discussed to ensure an understanding of the technical underpinnings of EW. Building on the basic techniques, a brief discussion on concepts in advanced EW systems and current research will be presented. The discussion will conclude by briefly presenting the revolutionary impact of cognitive and AI/ML processes on EW, which will serve as a lead in to Karen Haigh's discussion on Cognitive EW. Co-sponsored by: IEEE North Jersey Section Speaker(s): David Brown, Agenda: Please RSVP to (mailto:nicole.zaretski@l3harris.com?subject=RSVP%20AOC%2024%20Jan%20L+L) (President, AOC Garden State Chapter), and indicate if you plan to attend in person or virtually, by COB Friday, 18 April to secure your place. The online presentation will begin promptly at 12:00 noon, but virtual attendees should sign in early to ensure they are able to connect to the web event. Bldg: Auditorium, L3 Harris Technologies, 77, River Road, Clifton, New Jersey, United States

Panelists: Dr. Victor Lawrence, Dr. Jawad Siddiqui, Dr. Katherine August, and Dr. Ajay K. Poddar, IEEE Antennas and Propagation Society Chapter Panel Title: (https://www.stevens.edu/events/ieee-supported-emerging-technologies-addressing-humanitarian-technology) Abstract The Humantrain Projects, supported by the IEEE North Jersey Section AP/MTT Chapter, IEEE AP-S SIGHT, and IEEE AP-S COPE, are initiatives to foster multidisciplinary technological innovation among students and early-career professionals. These projects provide financial support and structured mentorship to teams developing solutions that align with IEEE's mission of "advancing technology for humanity." Emphasis is placed on applications that incorporate state-of-the-art antenna and wireless technologies, including but not limited to artificial intelligence (AI), machine learning (ML), virtual reality (VR), and other emergent technologies. A particular focus is directed toward deploying high-speed wireless networks, critical for next-generation mobile communication systems. These systems aim to achieve enhanced data throughput, minimized latency, and robust connectivity. Integral to the initiative is the exploration of terahertz signal generation and advanced signal processing techniques, which are essential for the scalability of Internet of Things (IoT) ecosystems. Antenna technologies are the foundational enabler for device-to-device connectivity across diverse applications, ranging from consumer smart devices to industrial automation systems. The projects integrate key elements such as electromagnetic propagation modeling, wireless communication protocols, radar systems, and remote sensing technologies. A rigorous understanding and optimization of these components are vital for evaluating antenna system performance across heterogeneous environments and use cases. The overarching objective of the Humantrain Projects is to catalyze innovation in wireless communication and sensing systems through interdisciplinary collaboration among academia and industry stakeholders. Core goals include enhancing wireless networks' efficiency, reliability, and scalability to improve human communication, data exchange, and environmental interaction. These initiatives follow a collaborative research and development model to tackle humanitarian challenges through technology. Interested IEEE AP-S Student Members and Faculty Advisors are encouraged to participate by forming project teams and submitting proposals via the designated Call for Proposals portal. All submitted projects must involve AP-S members, apply relevant antenna and propagation technologies, and address community-oriented challenges. Proposals should align with one of the four thematic pillars: Environment, Education and Outreach, Access and Abilities, or Human Services. Selected proposals will receive mentorship and financial support totaling up to USD 10,000. The deadline for the submission of project proposals is May 1, 2025. (https://epics.ieee.org/ias-call-for-proposals-25/) [] Parking: Babbio Center Garage, Frank Sinatra Drive, Hoboken, NJ 07030 Parking Permit Contact: Kevin Lu, klu2@stevens.edu Co-sponsored by: North Jersey Section, AP-S COPE and AP-S SIGHT Speaker(s): Dr. Ajay K. Poddar, Dr. Victor Lawrence, Dr. Jawad Siddiqui, Katherine Grace August, PhD (Kit), Dr. Emre Tokgoz Agenda: The registration is free for all attendees, and complimentary refreshments are provided. Attending the event is not required to be an IEEE member. 6:00 PM-6:30 PM: Refreshment/Tea/Coffee/Dinner Parking: Babbio Center Garage, Frank Sinatra Drive, Hoboken, NJ 07030 Parking Permit Contact: Kevin Lu, klu2@stevens.edu Room: 111, Bldg: Burchard Building, 524 River Street, Hoboken, New York, United States, 07030

We’ll look at decisions made under uncertainty and review tools such as health indices, Monte Carlo simulations, risk matrices, forecasting models, and similar. And we’ll look at some of the pitfalls of communications between tech folks (who make suggestions) and financial folks (who make decisions). Speaker(s): Tony Agenda: The seminar fee includes lunch, refreshments and handouts. Non-members joining IEEE within 30 days of the seminar will be rebated 50% of the IEEE registration charge. Four hours of instruction will be provided. If desired, IEEE Continuing Education Units (0.4 CEUs) will be offered for this course - a small fee of $55 will be required for processing. Please pay attention to the “Registration Fee” and choose the appropriate choice either with or without CEUs. CEU Evaluation Form can be found at: (https://innovationatwork.ieee.org/ieee-pes-northjersey-certificates/) Room: Auditorium, Bldg: PSE&G - Hadley Road Facility, 4000 Hadley Road, South Plainfield, New Jersey, United States, 07080

Exciting Opportunity for High School Students! IEEE Future Networks is thrilled to announce the "Class to Career Chronicles" University Talk and Tour at select New Jersey universities, partnering with IEEE North Jersey Section. These events are designed to inspire and educate high school students about the future of technology, education, and career opportunities in the field. Teachers, this is a fantastic chance to sign up your students for an enriching experience that provides answers to “what happens after I graduate from high school?” Seton Hall University, 400 S Orange Ave, South Orange Village, New Jersey, United States, 07079

Exciting Opportunity for High School Students! IEEE Future Networks is thrilled to announce the "Class to Career Chronicles" University Talk and Tour at select New Jersey universities, partnering with IEEE North Jersey Section. These events are designed to inspire and educate high school students about the future of technology, education, and career opportunities in the field. Teachers, this is a fantastic chance to sign up your students for an enriching experience that provides answers to “what happens after I graduate from high school?” ***CANCELED*** Montclair State University, 1 Normal Ave, Montclair, New Jersey, United States, 07043