IEEE North Jersey Section

The IEEE North Jersey Section's Executive Committee (EXCOM) monthly meeting will be held hybridly. The EXCOM meeting starts at 6:30 pm EST and typically ends at 8:30 pm. The meeting is meant to discuss and coordinate the activities of the Section and its Chapters and Groups, as well as new initiatives. Everyone is welcome to attend this meeting. Please register in advance for this meeting using vTools (Please make a note if you join the meeting remotely) You can change/cancel the registration if your plans change. For more information, please contact our IEEE North Jersey Section Chair Hong Zhao ([email protected]) , or Secretary, Adriaan van Wijngaarden, ([email protected]). Join Zoom Meeting https://fdu.zoom.us/j/98516896638 Meeting ID: 985 1689 6638 Note: If you are unable to join the meeting in person or online, please send your chapter activity report to the section chair at [email protected] Agenda: 06:30 pm - 06:45 pm Networking 06:45 pm - 08:30 pm IEEE North Jersey Section Executive Committee Meeting The meeting agenda typically includes news related to the IEEE and the IEEE North Jersey Section, Secretary and Treasurer reports, Chapter and Affinity Group reports, Committee reports, and reports by various Chairs and Representatives, Committee Chairs, and planning, and new initiatives. Room: M105, Bldg: Muscarellel, 1000 River Rd., Teaneck, New Jersey, United States, 07666, Virtual: https://events.vtools.ieee.org/m/430397

Special Presentation by Dr. Hao Zhou and Chengming Hu (McGill U., Canada) Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, September 5th, 2024 @ 6 PM EDT Topic: Large Language Models (LLMs) for NextG Wireless Networks: Fundamentals and Case Studies in Network Optimization and Prediction Abstract: Large language models (LLMs) have received considerable attention recently due to their outstanding comprehension and reasoning capabilities, leading to great progress in many fields. The advancement of LLM techniques also offers promising opportunities to automate many tasks in the communication networks field. After pre-training and fine-tuning, LLMs can perform diverse downstream tasks based on human instructions, paving the way to artificial general intelligence (AGI)-enabled 6G. This talk will first present a comprehensive overview of LLM fundamentals and applications to wireless networks, discussing wireless-specific LLM training, fine-tuning, and practical deployment. Then, it will present two case studies on specific network optimization and prediction problems, showing detailed prompt and algorithm designs along with simulation results. Speakers: Dr. Hao Zhou is currently a Postdoctoral Researcher at the School of Computer Science, McGill University. He completed my PhD degree at University of Ottawa, Canada, from 2019 to 2023. His research focuses on the intersection between machine learning, optimization, and networked systems, especially for 5G/6G wireless networks and power systems. Dr. Zhou is dedicated to developing novel machine learning algorithms to address a series of optimization problems in networked systems, including resource allocation, computational task offloading, energy efficiency enhancement, energy management and trading, network security, etc. He has published more than 30 peer-reviewed papers, including reputable journals in IEEE Communication and Power Energy Societies, e.g., IEEE Wireless Communications, IEEE Trans. Smart Grid, and IEEE Communications Survey & Tutorials. He has received the Best Paper Award at the 2023 IEEE ICC conference, and the 2023 IEEE ComSoc CSIM TC Best Journal Paper Award for his contributions to transfer learning-enabled wireless network slicing. Dr. Zhou’s PhD Thesis entitled “ML-Based Optimization of Large-Scale Systems: Case Study in Smart Microgrids and 5G RAN” won the 2023 Faculty of Engineering’s Best Doctoral Thesis Award at University of Ottawa. Chengming Hu is currently a Ph.D. candidate at McGill University, Canada. He received M.Sc. in Quality Systems Engineering with Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Canada, in 2019. His research interests focus on investigating computational intelligence techniques to enhance the effectiveness and security of IoT systems, including ensemble learning, knowledge distillation, language model, and feature learning, etc. He is actively working on various real-world applications, including power systems, communication systems, and transportation systems. His work has been published in top-tier, peer-reviewed conferences and journals, including ICLR, IEEE TSG, and IEEE PESGM, etc. Co-sponsored by: Artificial Intelligence & Machine Learning (AIML) Working Group Virtual: https://events.vtools.ieee.org/m/431215

Prof Andrew McStay (Bangor University, UK) will present “Automating Empathy in Human-AI Partnerships: Issues, Ethics and Governance” at 6pm (UTC+1) / 1pm EDT on 10 September ’24. Click (https://www.timeanddate.com/worldclock/fixedtime.html?msg=IEEE+SSIT+Lecture%3A+Automating+Empathy+in+Human-AI+Partnerships%3A+Issues%2C+Ethics+and+Governance&iso=20240910T18&p1=78&ah=1). (https://www.ieee-ukandireland.org/chapters/society-on-social-implications-of-technology/) and SSIT IST-Africa SIGHT are cooperating with a number of IEEE OUs including: North Jersey Section SSIT Chapter; Northern Virginia/Baltimore/Washington SSIT Chapter; Bahrain Section SSIT Chapter; Vancouver Section Jt. Chapter,TEM14/PC26/E25/SIT30; New Jersey Coast Section SIGHT; New Jersey Coast Section Jt. IM/Computer Society Chapter; Southeastern Michigan Section Computer Chapter; North Jersey Section: TEMS Chapter, Computer Chapter, Jt APS/MTT Chapter, WIE AG and SIGHT; (https://www.ieee-ukandireland.org/chapters/computer-society/); Columbia Section, Columbia Section Life Member Affinity Group; Long Island SSIT Chapter and Systems Council Chapter, Phoenix Computer Society Chapter, Maine Section Joint ComSoc/Computer Society Chapter and Chicago Section Computer Society Chapter to organise this SSIT Lecture as a joint Webinar on 10 September ’24. Registration IEEE and SSIT Members as well as non-IEEE Members are invited to (https://events.vtools.ieee.org/m/415613) and participate. IEEE Members should include their IEEE Membership Number when registering. Access to online Meeting (https://events.vtools.ieee.org/m/415613) will be provided with the link prior to the event. Guest Lecture Focus This lecture considers General-Purpose Artificial Intelligence (GPAI) products marketed as ‘empathic partners’, ‘personal AI’, ‘co-pilots’, ‘assistants’, and related phrasing for ‘human-AI partnering’. Open AI, Inflection, Google, Microsoft, and others, all promise empathic capacities. Current and nascent domains of use include work, therapy, education, life coaching, legal problems, fitness, and entertainment. The lecture focuses on the risks and opportunities of empathic human-AI partnering, what new governance (if any) is required, and the role that soft law standards may play in leading in supporting hard law. To explore empathic human-AI partnering, the lecture will initially provide historical context to these technologies, case examples, and a sense of current governance for technologies used to empathise. With this understanding in place, the lecture will progress to consider need to contrast upstream and downstream understandings of GPAI, complexities of this separation for governance, balancing of short and long-term risks, social and ethical questions unique to empathic human-AI partnering, issues of global cultural variation regarding empathic human-AI partnering, balancing of interests of ethical diversity and unity in creation of soft law and standards, and lessons that can be learned from existing and nascent P7000 standards. Speaker(s): Prof. Andrew McStay, Agenda: 18:00 (UTC+1) / 13:00 (EDT) Welcome and Introduction to Guest Speaker 18:05 Lecture 18:45 Questions and Discussions Virtual: https://events.vtools.ieee.org/m/415613

In-band full-duplex Multiple-Input Multiple-Output (MIMO) systems provide an opportunity for Integrated Sensing and Communication (ISAC) systems to realize spectrum-efficient simultaneous information transmission and environmental awareness. This line of research is typically referred to as FD-ISAC. This talk will review the unique characteristics and challenges of mono-static FD-ISAC, show simulation results (considering 6G Orthogonal Frequency Division Multiplexing (OFDM) waveforms), and outline several directions of future research. Co-sponsored by: Ali Daneshmand Speaker(s): Besma, Agenda: Virtual: https://events.vtools.ieee.org/m/428288

This talk will provide an overview of deep learning applications in nanophotonic device design, focusing on generative neural networks. To achieve inverse design in nanophotonics, optimization of tens of thousands of 'pixels' is typically required. The adjoint method, a popular local optimization approach, often necessitates multiple optimization runs. Generative deep learning builds on existing data to generate new designs with specified target specifications such as transmission/reflection spectra. For instance, datasets optimized for discrete wavelengths (e.g., wavelength splitters) or splitting ratios (e.g., power splitters) can be used to generate devices with arbitrary wavelength or splitting ratios. We demonstrate examples using conditional variational autoencoders (CVAE) and denoising diffusion probabilistic models (DDPM) for applications in planar waveguide devices, metasurface gratings, and plasmonic gratings. Additionally, we introduce the concept of latent space optimization and transfer learning. Speaker(s): Keisuke Agenda: 5:00 - 5:30 PM Assembly and buffet dinner 5:30 - 6:30 PM Presentation 6:00 - 7:00 PM Networking Room: 6A-106, Nokia Bell Labs, 600 Mountain Ave, Murray Hill, New Jersey, United States, 07974

The 12th Annual IEEE North Jersey Advanced Communications Symposium (NJACS-2024) will be held online (Zoom), on Saturday, September 14, 2024. The symposium consists of several keynote presentations. The symposium program will cover advanced topics in AI, deep learning, and LLM. This symposium is organized in collaboration with Canadian-American Research Forum on AI Technologies. Registration Required: https://events.vtools.ieee.org/m/430871 Conference Zoom Meeting ID: 506 875 4099 https://zoom.us/j/5068754099 Symposium Program 1:00-1:10PM Welcome Remarks Dr. Adriaan van Wijngaarden, Nokia Bell Labs Amit Patel, IEEE North Jersey ComSoc Chapter 1:10-1:15PM Opening Remarks - AI, Deep Learning, and LLM Prof. Yu-Dong Yao, Stevens Institute of Technology 1:15-2:00PM Unveiling Human Digital Twin (HDT) in the Era of 6G: A Paradigm Shift towards Human-Centric Services Jun Cai, Concordia University 2:00-2:45PM Deep Learning and Foundation Models in Wireless Research Yu-Dong Yao, Stevens Institute of Technology 2:45-3:30PM Empowering Pedagogical Agents through Foundational Models for Social Learning Ying (Gina) Tang, Rowan University 3:30-4:15PM Scientific Machine Learning: Applications and Challenges in the Realm of Experimental Particle Physics Yihui (Ray) Ren, Bookhaven National Laboratory 4:15-4:30PM 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 Chair Yu-Dong Yao, Stevens Institute of Technology Program Co-Chair Program Co-Chair Program Co-Chair Registration Chair Hong Zhao, Fairleigh Dickinson University Huaxia Wang, Rowan University Cherif Chibane, IEEE North Jersey Aerospace Chapter Michael Newell, IEEE North Jersey Section Virtual: https://events.vtools.ieee.org/m/430871

Agenda: Join us for the HKN Eminent Member for Dr Robert Woodrow Wilson and HKN Honorary Eminent Member Ceremony & Celebration on 17 September 2024 at 11.30am at AT&T Labs Science and Technology Innovation Center and Museum 200 South Laurel Ave Middletown New Jersey; A Day at the Museum with tours by Melissa Knoll AT&T Historian; Lunch with Leaders & Luminaries with Dr Robert Woodrow Wilson and many others; Ceremony and Presentations at 1pm. This is an extraordinary opportunity to join an HKN Eminent Member Ceremony & Celebration. Bldg: A, AT&T Science and Technology Innovation Center and Museum, 200 South Laurel Avenue , Middletown, New Jersey, United States, 07748

[] Bldg: CELS, 1 Normal Ave, Montclair, New Jersey, United States, 07043

Photonic startup business success relies heavily on the uniqueness and quality of its technical know-how. Success also depends heavily on various skills and activities beyond technical prowess. Business aspects such as marketing, sales, team leadership, commercial opportunity development, proposal preparation, program management, quality control, budgeting, funding, and financial planning, among others, are crucially important. This presentation will focus on dissecting all the skills and activities required for photonic startup business success. The presenter will attempt to do this through examples from his experience as a technical and business practitioner in large and small photonic companies. Co-sponsored by: IEEE PHOTONICS Society DL Talk co-sponsored by IEEE North Jersey Section Speaker(s): Dr. Daniel Renner Agenda: Registration for the event and refreshments/dinner are complimentary. Venue: New Jersey Institute of Technology 154 Summit Street Building: ECEC Room Number: 202 Newark, NJ 07102 Bldg: Building: ECEC Room Number: 202, New Jersey Institute of Technology, 154 Summit Street, Newark, New Jersey, United States, 07102

The Careers in Technology Fall Series begins on 24 September at 8pm Eastern Time with: Professor Victor B Lawrence, PhD IEEE Fellow, National Inventors Hall of Fame. In the introduction, Dr Lawrence’s preparation for a career at Bell Labs in Advanced Communication Technologies will be discussed. Then Dr Lawrence will conduct a detailed deep dive discussion of modern communications and networks. Some of Dr Lawrence’s technical experience includes: Key innovations of Bell Labs, artificial intelligence and machine learning, communications technologies, telecommunications, networks, patents, standards of today. Technology for the future. HDTV, Modems, Bluetooth: The importance of Standards. Professor Victor B Lawrence, PhD will share his thoughts about the future influence of technology in society, and recommendations for navigating a technical career in this era. Lawrence has received numerous awards and honorary degrees, including: - 1981: (https://ieee-cas.org/guillemin-cauer-award), (https://en.wikipedia.org/wiki/IEEE_Circuits_and_Systems_Society) - 1984: J. Harry Karp Best Paper Award at Interface '84 - 1986: (https://en.wikipedia.org/wiki/University_of_California,_Berkeley), Chancellor's Distinguished Lecture Series - 1987: (https://en.wikipedia.org/wiki/Institute_of_Electrical_and_Electronics_Engineers) - 1992: Fellow of (https://en.wikipedia.org/wiki/AT%26T_Bell_Labs) - 1995: Black Engineer for Outstanding Technical Contributions - 1997: (https://en.wikipedia.org/wiki/Emmy_Awards) for (https://en.wikipedia.org/wiki/Grand_Alliance_(HDTV)) Standard - 2000: IEEE Millennium Medal - 2003: Member of (https://en.wikipedia.org/wiki/National_Academy_of_Engineering) - 2004: IEEE Award in International Communication - 2007: (https://en.wikipedia.org/wiki/IEEE_Simon_Ramo_Medal) for leadership in world-wide data communications networks - 2012: Charter Fellow of (https://en.wikipedia.org/wiki/National_Academy_of_Inventors) (NAI) - 2016: (https://en.wikipedia.org/wiki/List_of_National_Inventors_Hall_of_Fame_inductees) Speaker(s): Professor Victor B Lawrence, PhD IEEE Fellow Virtual: https://events.vtools.ieee.org/m/431105

Photonic integration has been at the center of photonic activity for several years. Over this period, great strides have been made to increase the integration density and chip functionality. This talk will work its way up from the drivers for photonic integration – why do we need Photonic Integrated Circuits (PICs)? What are their similarities and differences with Electronic Integrated Circuits (EICs)? This analysis of integration drivers will lead to a discussion of recent progress on the main paths: monolithic, heterogeneous, and hybrid. The talk will conclude with possible approaches to meet the additional demanding considerations for future Quantum PICs. Co-sponsored by: IEEE PHOTONICS Society DL Talk co-sponsored by IEEE North Jersey Section Speaker(s): Dr. Daniel Renner Agenda: Registration for the event and refreshments/dinner are complimentary. Venue: Fairleigh Dickinson University 1000 River Road, Building: Muscarelle Center, Room Number: 105 Teaneck, New Jersey, United States 07666 For additional information about the venue and parking, please contact Dr. Hong Zhao [email protected] Room: M105, Bldg: Muscarellel , Fairleigh Dickinson University, 1000 River Rd. , Teaneck, New Jersey, United States, 07666

Key areas of discussion: • Current changes to SF6 legislation and practices o NY SF6 phase out: dates and voltage classes o MA SF6 phase out: dates and voltage classes o EPA changes to reporting o Is SF6 Dead? • SF6 Alternatives and changing infrastructure demands on utilities o C4-FN  Pros and Cons of the gases  Mixing, handling & recovery  Gas analysis  Leakage and Safety o Natural Origin Gases  Pros and Cons of the gases  handling & recovery  Gas analysis  Leakage & Safety o Logistics and Infrastructure  Challenges with cylinder handling & management  Fittings [] Speaker(s): Devin 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/) At this time, our attendance is being limited to fifty (50). Please only register if you know you are going to attend, and you must be registered to participate. Room: Auditorium, Bldg: PSE&G - Hadley Road Facility, 4000 Hadley Road, South Plainfield, New Jersey, United States, 07080

October 1, Tuesday, 6~ 8:00 PM Virtual Seminar through IEEE WebEx hosting For program questions, Please email to [email protected] Co-sponsored by: New York Section and Region 1 & Region 2 Computer Society Speaker(s): Mrinal , Agenda: - Event Agenda - Event Agenda: 6:00 PM Opening Remark – IEEE NY Section Chair, Chamara Johnson Welcome - Introduction - (Prof. Ping-Tsai Chung, IEEE New York Section, Vice Chair of Section Activities & Prof. Xin-Zhou Wei, IEEE New York Section, Chair of Student Activities) 6:10 ~7:10 PM (Presentation- Mrinal Karvir, Manager, Intel - Generative AI) 7:10 PM Q/A Virtual: https://events.vtools.ieee.org/m/430850

This talk highlights the next generation of wireless power transfer (WPT) network concept that is scalable, safe, and efficient and can be deployed in a UAS by incorporating waveform engineering, electromechanical beamforming, integrated phased-array antenna, and transmitter (TX)/receiver (RX) co-design. Although interest in radiative (far-field) WPT using beamforming has been growing rapidly because of its capability to energize a large number of autonomous devices, most of these works are still in the theoretical phase without any practical implementation. This talk presents the implementation of a distributed beamforming network using a bottom-up approach (from the antenna to the inter-connected network) that is highly important for addressing the challenges associated with a dynamically changing environment. Practical system-level implementation strategies and multi-scale and multi-technique approaches to building a resilient WPT network for UAVs will be discussed. First, the challenges associated with the dual approach of electrical beamforming and the mechanical steering of the TX antennas to maximize the RF-RF link efficiency will be discussed. Secondly, an investigation of the efficient rectifier circuitry designed on-chip as well as commercial off-the-shelf components (COTS) to maximize the power conversion efficiency RF-DC efficiency will be presented. Finally, future research directions on increasing the power transfer distance to scale up the amount of power delivered to the load for the proposed wireless power beaming network system will be highlighted. Co-sponsored by: Ali Daneshmand Speaker(s): Ifana, Agenda: Virtual: https://events.vtools.ieee.org/m/428457

During this session, we will discuss the following: - The major difference between the 100% clean and renewable energy systems. - Solar performance in the East Coast. - The 2,000 MW energy storage goal by 2030 - The NJ commissioner energy master plan - The grid transformation/digitalization - Cybersecurity challenges - Electrification impact - Artificial Intelligence (AI): liability or asset Co-sponsored by: Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark , New Jersey, United States Speaker(s): Ahmed Mousa, Utility of the Future Manager, Room: 202, Bldg: ECEC Building, 141-159 Warren St, Newark, New Jersey, United States, 07102, Virtual: https://events.vtools.ieee.org/m/435750

The IEEE North Jersey Section's Executive Committee (EXCOM) monthly meeting will be held hybridly. The EXCOM meeting starts at 6:30 pm EST and typically ends at 8:30 pm. The meeting is meant to discuss and coordinate the activities of the Section and its Chapters and Groups, as well as new initiatives. Everyone is welcome to attend this meeting. Please register in advance for this meeting using vTools (Please make a note if you join the meeting remotely) You can change/cancel the registration if your plans change. For more information, please contact our IEEE North Jersey Section Chair Hong Zhao ([email protected]) , or Secretary, Adriaan van Wijngaarden, ([email protected]). To join remotely by the following Zoom link: https://fdu.zoom.us/j/96929941026 Meeting ID: 969 2994 1026 Note: If you are unable to join the meeting, please send your chapter activity report to the section chair at [email protected] Agenda: 06:30 pm - 06:45 pm Networking 06:45 pm - 08:30 pm IEEE North Jersey Section Executive Committee Meeting The meeting agenda typically includes news related to the IEEE and the IEEE North Jersey Section, Secretary and Treasurer reports, Chapter and Affinity Group reports, Committee reports, and reports by various Chairs and Representatives, Committee Chairs, and planning, and new initiatives. Bldg: Center for Environmental and Life Sciences, Room 120, Red Hawk Deck, 1 Normal Ave, Montclair, New Jersey, United States, 07043, Virtual: https://events.vtools.ieee.org/m/434118

As cyber threats become more advanced, traditional security models struggle to keep up with protecting modern networks. The Zero Trust framework, based on the idea of verifying and authorizing access at every step, regardless of user location or device, offers a solid solution. Adding Artificial Intelligence to this approach makes it even more effective by enabling smarter threat detection, continuous monitoring, and adaptive security measures. This talk looks at how AI improves zero-trust networks, focusing on AI algorithms like Long Short-Term Memory (LSTM) that can track network behavior over time to spot unusual activity and potential threats. AI also helps prioritize which threats need the most attention using risk scoring, making it easier to handle the most serious risks first. With AI-powered monitoring, even small security issues can be detected and addressed in real time, improving response times and overall protection. Combining AI with Zero Trust creates a more flexible and robust security system, ready to tackle the ever-changing challenges in cybersecurity. Speaker(s): Shajina Anand, Agenda: After the presentation the audience is invited to discuss with the speaker on the topic. Room: SC 109, Bldg: McNulty Hall, 400 South Orange Ave, South Orange, New Jersey, United States, 07079, Virtual: https://events.vtools.ieee.org/m/433970