1. Transforming Technical Education: Practical Uses of AI, MR, Gamification, cloud and IoT for Personalized and Scalable Learning; 2. CASE: Traffic and energy load balancing in cooperative dual-powered green cellular networks

Room: ECEC 202, Bldg: Elect & Comp Eng Building, 154 Summit Street, Newark, NJ 07102, NJIT, Newark, New Jersey, United States, 07102

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