Please come and join us for the IEEE North Jersey Section Picnic. This event will be held on Saturday August 2nd, 2025 at Duke Island Park in Bridgewater, NJ. You will find as Oak Grove Pavillion. Please come and join us Duke Island Park, Oak Grove Pavillion, Bridgewater, New Jersey, United States, 08807
Special Presentation by Dr. Joongheon Kim (Korea U., Korea) Co-Hosted by the Future Networks AI/ML and Quantum IT working groups Date/Time: Thursday, 7 August 2025 @ 6 PM EDT PDH Certificate: while basic attendance is free, this course also offers one (1) Professional Development Hour (PDH) for a nominal fee; please choose the appropriate "Registration Fee" when registering; additional terms and conditions apply. Topic: Quantum Reinforcement Learning: Algorithms and Applications Abstract: Quantum Reinforcement Learning (QRL) sits at the frontier where quantum computing and adaptive decision-making converge, offering the potential to fundamentally reshape sequential decision-making in complex environments. This tutorial provides a structured and accessible introduction to QRL, covering theoretical foundations, algorithmic frameworks, and emerging real-world applications. Participants will learn key concepts such as variational quantum policies, quantum-enhanced exploration, QRL with recurrent policies and distributed/multi-agent quantum reinforcement learning. The tutorial also presents practical use cases of QRL in communication networks, financial modeling, and autonomous systems. Through both conceptual lectures and hands-on demonstrations, attendees will gain actionable insights into building quantum-enhanced learning systems. Speaker: [] Joongheon Kim has been with Korea University, Seoul, Korea, since 2019, where he is currently an associate professor at the School of Electrical Engineering. He received B.S. and M.S. degrees in computer science and engineering from Korea University, Seoul, Korea, in 2004 and 2006; and the Ph.D. degree in computer science from the University of Southern California (USC), Los Angeles, CA, USA, in 2014. Before joining Korea University, he was a research engineer with LG Electronics, Seoul, Korea, from 2006 to 2009; a systems engineer with Intel Corporation, Santa Clara, CA, USA, from 2013 to 2016; an assistant professor with Chung-Ang University, Seoul, Korea, from 2016 to 2019. He also visited Seoul National University Hospital, Seoul, Korea. He serves as editor for IEEE Communications Surveys and Tutorials, IEEE Transactions on Vehicular Technology, and IEEE Internet of Things Journal. He was a recipient of Annenberg Graduate Fellowship with his Ph.D. admission from USC (2009), Intel Corporation Next Generation and Standards (NGS) Division Recognition Award (2015), IEEE Systems Journal Best Paper Award (2020), IEEE ComSoc Multimedia Communications Technical Committee (MMTC) Outstanding Young Researcher Award (2020), and IEEE ComSoc MMTC Best Journal Paper Award (2021). Co-sponsored by: Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Virtual: https://events.vtools.ieee.org/m/491420
[] Why Attend? - Learn from a practitioner-scholar with deep expertise in cybersecurity and AI - Understand the future of threat landscapes in an AI-driven world - Gain actionable strategies to enhance cybersecurity posture Speaker(s): Dr. Abed Agenda: This talk explores how artificial intelligence is reshaping the cybersecurity landscape. From AI-enhanced threat detection to new vulnerabilities introduced by autonomous systems, Dr. Abed will discuss current trends, risks, and governance strategies for AI-integrated security. Attendees will gain insights into real-world applications and how to prepare for the next era of cyber defense. Virtual: https://events.vtools.ieee.org/m/493024
Special Presentation by Prof. Chau Yuen (NTU, Singapore) Hosted by the Future Networks AI/ML and QIT Working Groups Date/Time: Thursday, 21 August 2025 @ 12:00 UTC (12 PM GMT) PDH Certificate: while basic attendance is free, this course also offers one (1) Professional Development Hour (PDH) for a nominal fee; please choose the appropriate "Registration Fee" when registering; additional terms and conditions apply. Topic: An Equivalent Baseband Signal Model for Rydberg Atomic Quantum Receiver (RAQR) Aided Wireless Communications and Sensing Abstract: Rydberg atomic quantum receivers (RAQRs) emerge as a radical solution for detecting radio frequency (RF) signals, showing great potential in assisting classical wireless communications and sensing. However, the current studies of RAQRs mainly focus on realizing fundamental functionalities via experiments, where the results are indirect in assisting wireless communications and sensing. Moreover, the advantages of RAQR based wireless receivers have not been fully unveiled. To fill the gap, we introduce the superheterodyne of RAQRs to the wireless systems by presenting an end-to-end transmission scheme. We then develop a corresponding end-to-end equivalent baseband signal model based on a realistic transmission flow. Our scheme and model provide explicit design guidance to RAQR-aided wireless systems, and allow various signal processing in an easy-to-handle way. Speaker: [] Chau Yuen received his B.Eng. and Ph.D. degrees from Nanyang Technological University, Singapore, in 2000 and 2004, respectively. Since 2023, he has been with the School of Electrical and Electronic Engineering, Nanyang Technological University. Dr. Yuen received IEEE Communications Society Leonard G. Abraham Prize (2024), IEEE Communications Society Best Tutorial Paper Award (2024), IEEE Communications Society Fred W. Ellersick Prize (2023), IEEE Marconi Prize Paper Award in Wireless Communications (2021), IEEE APB Outstanding Paper Award (2023), and EURASIP Best Paper Award for JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING (2021). He is an IEEE Fellow and a Highly Cited Researcher according to the Clarivate Web of Science. Co-sponsored by: Future Networks AI/ML and QIT Working Groups Virtual: https://events.vtools.ieee.org/m/490730
