IEEE North Jersey Section

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