The 14th Annual IEEE North Jersey Advanced Communications Symposium (NJACS-2026) will be held online (Zoom), on Saturday, September 12, 2026. The symposium consists of several keynote presentations. The symposium program will cover advanced topics in AI and Communications. This symposium is organized in collaboration with Canadian-American-Ghanaian (CAG) Research Forum on AI Technologies. Registration Required: https://events.vtools.ieee.org/m/556646 Conference Zoom Meeting ID: 506 875 4099 https://zoom.us/j/5068754099 Symposium Program 10:00AM-10:10AM Welcome Remarks Dr. Adriaan van Wijngaarden, Nokia Bell Labs Amit Patel, IEEE North Jersey ComSoc Chapter 10:10AM-10:15AM Opening Remarks - Communications, Sensing, and AI Prof. Yu-Dong Yao, Stevens Institute of Technology Session Chair: Hong Zhao, IEEE North Jersey Computer Chapter 10:15AM-10:45AM The Design Space of AI Agent Systems Rensheng Wang, AT&T Labs 10:45AM-11:15AM Efficient, Robust, and Explainable Multimodal Sensing for Civilian and Military Applications Jie Wei, CCNY 11:15AM-11:45AM Robust Representation Learning for Generalization in Noisy and Data-Constrained Environments​ Atik Faysal, Quantum Computing Inc. 11:45AM-12:15PM Confronting the Privacy Leak Epidemic in the Machine Learning Era Jiadong Lou, Rowan University 12:15PM-12:45PM AI Effects on Programming, Teaching and Developing Products Satrajit Ghosh and Dov Kruger, Rutgers University 12:45PM-12:50PM Closing Remarks Dr. Adriaan van Wijngaarden, Nokia Bell Labs Registration IEEE member $ 00.00 Non-member $ 00.00 IEEE Student/Graduate Student/Life Member $ 00.00 Non-IEEE Student/Graduate Student $ 00.00 This event has limited seating and registration is required. Will close once the event reaches capacity. This symposium is being organized by the IEEE North Jersey Section and its Communications, Computer, Information Theory and Vehicular Technology Chapters. Technical support is provided by IEEE METSAC. Organizing Committee Symposium Chair Adriaan van Wijngaarden, Nokia Bell Labs Organization Chair Amit Patel, IEEE North Jersey ComSoc Chapter Program Co-Chairs Yu-Dong Yao, Stevens Institute of Technology Cherif Chibane, IEEE North Jersey Aerospace Chapter Hong Zhao, Fairleigh Dickinson University Huaxia Wang, Rowan University Wei-Ping Zhu, Concordia University Registration Chair Michael Newell, IEEE North Jersey Section Virtual: https://events.vtools.ieee.org/m/556646

Talk Series: GAP 0.1 (5th Talk) Co-sponsored by: Olsen College of Engineering and Science, FDU, Teaneck, NJ 07666 Speaker(s): Satya Agenda: Abstract As enterprise software shifts from fixed, per-seat SaaS licensing to dynamic, activity-based AI consumption (tokens, credits, and capacity), traditional cost models no longer suffice. This session introduces AI FinOps—a discipline tailored to manage the unpredictable costs driven by user prompts, multi-step agents, and model architectures. It outlines the five foundational pillars of AI governance (inventory, visibility, attribution, guardrails, and value), examines the continuous optimization lifecycle, and explores how Agentic FinOps can autonomously assist with telemetry, policy enforcement, and cost optimization. Room: 205, Bldg: Becton Hall , 960 River Road, TEANECK, New Jersey, United States, 07666, Virtual: https://events.vtools.ieee.org/m/575822

Karl Guthe Jansky Discovers Radio Astronomy September 16, 1932 at 7:10 pm. Presentation by Giovanni Vannucci, PhD at 5pm at AT&T Labs 200 South Laurel Ave Middletown New Jersey. Event begins at 2:30pm with Meet and Greet, Tours of the Museum, Student Mentoring and Poster Presentations. 3:30pm 101 Crawfords Corner Road ring road Jansky Monument. 4:15pm Student Posters at AT&T Labs. Dr Giovanni Vannucci's presentation begins at 5pm at AT&T Labs 200 South Laurel Ave Middletown New Jersey. Karl Guthe Jansky Discovers Radio Astronomy September 16, 1932 at 7:10 pm in Holmdel, New Jersey. Karl Guthe Jansky an engineer and researcher of Bell Telephone Laboratories, born in Norman Oklahoma, experimented between 1928 and 1932, and he discovered electromagnetic waves of interstellar origin, marking the birth of radio astronomy. Using a rotating antenna and sensitive recording equipment of his own design, Jansky identified signals fixed in space, originating from the Milky Way. This groundbreaking discovery revolutionized astronomy, enabling the study of celestial phenomena through radio waves. This is one of the most important discoveries of the twentieth century. While investigating atmospheric disturbances affecting shortwave radio communications, Jansky detected weak, continuous signals that exhibited a fixed spatial direction. Through meticulous analysis, he determined the source of these waves to be the Milky Way galaxy, with coordinates of right ascension 18 hours and declination -20 degrees. This discovery marked the inception of radio astronomy, a field that has since transformed our understanding of the universe. Jansky’s work overcame significant technical challenges, including the development of a highly directive antenna system and precise signal intensity recording equipment. His findings opened new avenues for exploring celestial phenomena invisible to optical telescopes, such as pulsars, quasars, and cosmic microwave background radiation. Jansky’s contributions laid the foundation for modern astrophysics and inspired the construction of advanced radio observatories worldwide. We invite everyone to attend the event with a tour of the museum emphasizing radio and astronomy, presentation, networking, mentoring, and cake. The event is friendly to all people: employees, retirees, students, mentors, teachers, K through Industry, and the community. [] Co-sponsored by: IEEE NJ preUniversity and Student Activities Agenda: 2:00 pm Meet and Greet Pictures at Spirit of Communication 2:30 pm Museum Tours and Discussions 3:30 pm Meet-up for Ceremonial Words at the Jansky Monument 101 Crawfords Corner Road, Holmdel. 4:15 pm Student Poster and Flag Design Presentations back at AT&T Labs Middletown NJ 5:00 pm Dr Giovanni Vannucci presentation at AT&T Labs: Karl Guthe Jansky discovers Radio Astronomy at Holmdel New Jersey with Cake, Museum, and Networking Bldg: AT&T Labs, AT&T Labs, 200 S Laurel Ave, Middletown, New Jersey, United States, 07748

Introduction – Goal Short Circuit Coordination Arc Flash Final – Tips and Tricks Power System Studies are a vital part of a well-maintained electrical system. When performing the power system studies of short circuit, coordination, and arc flash studies there are many errors that can be made that will impact the results. These errors can be from lack of information modeled, input error or lack of understanding of system operation. This talk will go through the different study applications and identify both where these errors can occur and how to spot them during a review. This talk will utilize SKM, a power systems analysis software, to highlight where the errors can be made and how to spot them. This talk will help both the power system engineer who is performing the studies but also the end user to quickly validate that the results that they have are correct. By ensuring the correct results are present the end user can utilize the information found in the report to help improve their facility as well as provide their workers with the information that allows them to make informed decisions while performing tasks that expose them to an electrical and arc flash hazard. Speaker(s): Kevin Agenda: PLEASE MAKE NOTE OF THESE IMPORTANT NEW INSTRUCTIONS STARTING SEPTEMBER 2026: We will be alternating again this year between the Cragwood Road and Hadley Road locations. New security procedures now require advanced clearance for entry to the buildings. Effective immediately, registration will close at 5PM the evening before the event. There will be no late registrations permitted. PLEASE DO NOT ASK ME TO IMPOSE ON OUR GRATIOUS HOST FOR ANY EXCEPTIONS TO THIS POLICY. 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://credentials.ieee.org/certificates/pes-north-jersey/) Room: Transformer & Reactor Rooms, Bldg: PSE&G - Cragwood Road Facility, 40 Cragwood Road, South Plainfield, New Jersey, United States, 07080

Data Science Foundations & Applied Capstone is a full-day, hands-on workshop designed to introduce participants to the foundations of modern data science through practical exercises and collaborative problem solving. Participants will work with real-world datasets and gain experience across several stages of the data science workflow, including data preparation and exploratory statistics, interactive data visualization, and an introduction to applied artificial intelligence and Large Language Models (LLMs). The workshop will introduce concepts such as Retrieval-Augmented Generation (RAG) and provide participants with an opportunity to experiment with LLM APIs through guided exercises. The afternoon will transition from guided instruction to an applied capstone activity. Participants will work in small teams to analyze a provided dataset, identify meaningful trends, anomalies, or insights, and develop a data-backed recommendation. Teams will have flexibility in choosing their approach, including statistical analysis, interactive visualization, or AI-assisted analysis. Instructors will be available throughout the session to provide technical guidance and help teams refine their approach. The workshop will conclude with short project showcases, allowing teams to present their analytical approach, key findings, and recommendations to fellow participants. This workshop is intended for participants who are interested in developing practical data science skills. Prior advanced experience in data science or artificial intelligence is not required. What to Bring: Please bring a laptop and charger and arrive a few minutes early for setup. Organized by IEEE NJ Coast Young Professionals. Sponsored by IEEE Young Professionals and the IEEE Foundation. [] Agenda: 9:30 AM – 10:00 AM | Welcome & Environment Setup Welcome remarks, overview of the workshop, and setup of the coding environment and workshop resources. Participants will be guided through accessing the tools and notebooks required for the day's activities. 10:00 AM – 11:00 AM | Module 1: Making Sense of Data Introduction to working with real-world tabular data using Python and Pandas. Participants will explore data loading, cleaning, handling missing or malformed data, and basic descriptive statistics. The exercises will use the NYC Energy and Water dataset as an example. 11:00 AM – 12:00 PM | Module 2: Interactive Visual Analytics Participants will move beyond static charts and explore interactive data visualization. The session will cover techniques for visually exploring relationships, filtering data, and identifying patterns and outliers using interactive visualization tools. 12:00 PM – 1:00 PM | Module 3: Introduction to Applied AI & LLMs An accessible introduction to Generative AI, embeddings, Retrieval-Augmented Generation (RAG), and LLM APIs. Participants will complete a guided exercise using an LLM API to perform a structured analysis task. 1:00 PM – 2:00 PM | Lunch & Networking Lunch and an informal networking session. Participants will have an opportunity to interact with instructors and discuss data science career paths, research opportunities, and real-world applications of data science. 2:00 PM – 2:30 PM | Applied Capstone Kickoff Introduction to the capstone dataset and project objectives. Teams will be challenged to identify a meaningful trend, anomaly, or insight and develop a data-backed recommendation. 2:30 PM – 4:15 PM | Supervised Team Hacking Participants will work collaboratively in small teams while instructors provide guidance on data analysis, visualization, AI techniques, and troubleshooting. 4:15 PM – 4:45 PM | Peer Project Showcases Teams will deliver short lightning presentations highlighting their analytical approach, key findings, and recommendations. 4:45 PM – 5:00 PM | Synthesis & Wrap-Up Closing discussion, key takeaways, resource sharing, and information for continued learning. Room: H306, Bldg: Hamilton Hall, 188 Ellison Street, Passaic County Community College, Paterson, New Jersey, United States, 07505

AI Technologies and Applications: Call for Abstracts and Full Papers - Send an email to Prof. Yao ([email protected]): Your name, your institution name, your email address, and your paper title - Send your paper abstract to Prof. Yao for publication in IEEE North Jersey Section Newsletter - Send your full paper to Prof. Yao for review/publication in journal AI Engineering - Deadline: 9/30/2026 For more information: Please contact Prof. Yao at [email protected] Co-sponsored by: Education Committee Virtual: https://events.vtools.ieee.org/m/573638

AI Technologies and Applications: Call for Abstracts and Full Papers - Send an email to Prof. Yao ([email protected]): Your name, your institution name, your email address, and your paper title - Send your paper abstract to Prof. Yao for publication in IEEE North Jersey Section Newsletter - Send your full paper to Prof. Yao for review/publication in journal AI Engineering - Deadline: 9/30/2026 For more information: Please contact Prof. Yao at [email protected] Co-sponsored by: Education Committee Virtual: https://events.vtools.ieee.org/m/573638