IEEE North Jersey Section

Henry Nash (P2987 Standard Working Group) will present “Designing a Standard to Minimise Misuse of Technology for Coercive-Control (P2987)” at 6pm (UTC+1) / 1pm EDT on 11 June ’24. Click (https://www.timeanddate.com/worldclock/fixedtime.html?msg=IEEE+SSIT+Lecture%3A+Designing+a+Standard+to+Minimise+Misuse+of+Technology+for+Coercive-Control+%28P2987&iso=20240611T18&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; 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 and Phoenix Section Computer Chapter to organise this SSIT Lecture as a joint Webinar on 11 June ‘24. Registration IEEE and SSIT Members as well as non-IEEE Members are invited to (https://events.vtools.ieee.org/m/420067) and participate. IEEE Members should include their IEEE Membership Number when registering. Access to online Meeting Registered participants will be provided with the link prior to the event. Guest Lecture Focus It is an uncomfortable truth for designers and operators of technology that it is increasingly being used by perpetrators of interpersonal coercive-control, for example in cases such as domestic abuse. Moreover, this use of technology does not typically involve hacking in the traditional sense, rather the misuse of often well-intentioned standard features - the design of which usually did not include threat analysis of, for instance, an abusive domestic partner who has access to passwords or manages the device/application in question. Examples include tracking of partners and their children, manipulation of social media while gaslighting to cover what is happening, and utilising smart-home devices to secretly monitor movement. In this session we will update you on our progress towards a recommended practice in the Principles of Design and Operation of such technology to minimise this kind of misuse. Speaker(s): Henry Nash, 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/420067

Talk 1: Transforming Technical Education: Practical Uses of AI, MR, Gamification, cloud and IoT for Personalized and Scalable Learning Cutting-edge technologies like AI-ML, AR/VR/MR, gamification, and the metaverse can revolutionize technical education through personalized training and simulation. AI-ML analyzes individual learning patterns to tailor educational content. AR/VR/MR provides hands-on experience. Gamification makes learning engaging and motivating. The metaverse offers collaborative learning and exploration. By combining these technologies, educators can create dynamic learning experiences that cater to diverse learning styles and foster innovation. AI-driven analytics can continuously refine and improve educational content and delivery, ensuring that technical education remains relevant and effective. Talk 2: Power consumption in cellular wireless communication base stations is a significant cost factor for service providers. Further, it significantly adds to the global carbon footprint. To this end, ambient-powered wireless base stations are being explored. In this presentation, we will present the case of networked cellular base stations equipped with solar/ambient energy harvesting capability and connected to the power grid for their uninterrupted operation. Since ambient energy availability and cell traffic are stochastic processes, we demonstrate the need for inter-base station cooperation for dealing with these doubly stochastic processes at potentially reduced grid power consumption costs. Under such an inter-base station cooperative scenario, we investigate the energy harvesting and storage capacity and operation optimization strategies for operator revenue maximization and/or green cellular operation. Beyond the CAPEX optimization, implementing the proposed strategies requires only software intervention at the Radio Network Controller or Remote Radio Units. This event is primarily in-person. However, remote participation is available via Zoom for those unable to attend physically. The Zoom meeting link is as follows: Join Zoom Meeting https://njit-edu.zoom.us/j/5653198906?pwd=ZDZSMXFya01DVFFJczFQOW5WRHZNQT09 Meeting ID: 565 319 8906 Passcode: 385526 Co-sponsored by: IEEE North Jersey Section Speaker(s): Vishal Kumar, Prof. Swades De Agenda: Event Time: 6:00 PM to 8:00 PM ECEC 202 6:00 PM Refreshments & Networking 6:10 PM Welcome and Opening Remarks by Dr. Misra, Chair CASS/EDS and AP/MTT Chapters, Professor and Chair ECE Dept 6:20 PM Talk by Vishal Kumar, CTO | Ocean2Sand LLC. 7:15 PM Talk by Swades De, Professor of Electrical Engineering, IIT Delhi, India This event is primarily in-person. However, remote participation is available via Zoom for those unable to attend physically. The Zoom meeting link is as follows: Join Zoom Meeting https://njit-edu.zoom.us/j/5653198906?pwd=ZDZSMXFya01DVFFJczFQOW5WRHZNQT09 Meeting ID: 565 319 8906 Passcode: 385526 All Welcome: There is no fee/charge for attending an IEEE technical seminar. You don't have to be an IEEE Member to attend. Refreshments are free for all attendees. Please invite your friends and colleagues to take advantage of this Lecture. Room: ECEC 202, Bldg: Elect & Comp Eng Building, 154 Summit Street, Newark, NJ 07102, NJIT, Newark, New Jersey, United States, 07102

Special Presentation by Dr. Alexandru Vulpe (UPB, Romania) Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, June 20th, 2024 @ 12:00 UTC Topic: AI-based Software Innovations for 5G and Beyond Abstract: As we advance into the era of 5G and explore the possibilities of 6G, the integration of Artificial Intelligence (AI) into mobile networks is becoming increasingly important. This talk will delve into the transformative potential of AI-based software and network applications in enhancing the capabilities, efficiency, and security of 5G and future mobile networks. We will explore new developments, potential challenges, and emerging opportunities in the field. The topics will cover AI's role in network optimization, predictive maintenance, service quality management, and security enhancements. Attendees will gain insights into how AI-driven strategies can lead to smarter, more reliable, and sustainable network infrastructures, thereby shaping the future of telecommunications. Speaker: Dr. Alexandru Vulpe, IEEE SA member, has a PhD since 2014 and has a broad technical expertise with over 15 years’ involvement in international and European research projects. His research ranges from algorithms for wireless communications, 5G and beyond 5G networks to Quantum Communications, AI, Big Data, Security, Blockchain and Internet-of-Things. He is the author and co-author of over 100 scientific papers related to Big Data, Security, Cloud Computing, 4G and 5G/B5G systems, as well as Machine-to-Machine (M2M) communications. Furthermore, he has managed and participated in over 40 research projects (over 15 international projects). He is a member of the 6G Smart Networks and Services Industry Association. Co-sponsored by: Artificial Intelligence & Machine Learning (AIML) Working Group Virtual: https://events.vtools.ieee.org/m/422939

Abstract: Wireless devices are part of 21st century life. From mobile devices to Bluetooth earbuds, from cellular sites to Wi-Fi access points, consumer entertainment devices and even refrigerators -- we are constantly surrounded by wireless devices. This leads some to raise questions about safety. Do electromagnetic fields pose health risks? This month's webinar will feature a panel of experts from the IEEE International Committee on Electromagnetic Safety, and the IEEE Committee on Man and Radiation, who will discuss the history of medical and academic investigation into the topic of EMF safety. Guest moderated by David Witkowski, IEEE Senior Member. Host: David Witkowski is an author, advisor, and strategist who works at the intersection between local government and the telecommunications industry. The Founder & CEO of Oku Solutions LLC, the Executive Director of the Wireless Communications Initiative at Joint Venture Silicon Valley, a Fellow in the Radio Club of America, and an IEEE Senior Member. After serving in the U.S. Coast Guard and earning his B.Sc. in Electrical Engineering from the University of California, he held leadership roles for companies ranging from Fortune 500 multi-nationals to early-stage startups. He serves as Co-Chair of the Deployment Working Group at IEEE Future Networks, as Senior Advisor for Broadband Deployment for the Monterey Bay Economic Partnership, as a member of the Connected Communities Forum in the Wireless Broadband Alliance, and as an Expert Advisor to the California Emerging Technology Fund. Co-sponsored by: Havana Syndrome -- an IEEE Perspective Virtual: https://events.vtools.ieee.org/m/422940