IEEE North Jersey Section

There are an increasing number of video analytics applications, such as metaverse games, auto-driving, etc. As a way to support these applications, much attention is being paid to edge-cloud video analytics systems. The standard pipeline is one in which the edge captures video contents; conducts preprocessing and sends intermediate results to the cloud to complete the analytics tasks. There are diverse requirements from applications, such as latency, privacy, etc., as well as diverse constraints from the resources in computing and communication. These make edge-cloud video analytics system designs challenging. In this talk, we will discuss issues related to edge-cloud video analytics system designs. In particular, we study edge-side acceleration using new hardware and the designs on resource-efficient privacy-preserving systems. We also present experiences in broadening the impact of research results into industry projects.Co-sponsored by: New Jersey Institute of TechnologySpeaker(s): Dr. Dan Wang, Agenda: There are an increasing number of video analytics applications, such as metaverse games, auto-driving, etc. As a way to support these applications, much attention is being paid to edge-cloud video analytics systems. The standard pipeline is one in which the edge captures video contents; conducts preprocessing and sends intermediate results to the cloud to complete the analytics tasks. There are diverse requirements from applications, such as latency, privacy, etc., as well as diverse constraints from the resources in computing and communication. These make edge-cloud video analytics system designs challenging. In this talk, we will discuss issues related to edge-cloud video analytics system designs. In particular, we study edge-side acceleration using new hardware and the designs on resource-efficient privacy-preserving systems. We also present experiences in broadening the impact of research results into industry projects.Room: GITC 1400, Bldg: GITC 1400, 218 Central Avenue Newark, NJIT, Newark, New Jersey, United States, 07102, Virtual: https://events.vtools.ieee.org/m/330949

IEEE EDS sponored One-Day Tutorial on Neuromorphic Computing & AI will be held on Wednesday, November 16, 2022. Speakers from all over US will participate in thisCo-sponsored by: ED/CAS, AP/MTT17 Agenda: 09:00 AM - 9:30 AM: Breakfast, Coffee, Registration, Networking, and Poster Set up09:30 AM - 9:50 AM: Poster Presentation09:50 AM - 10:00 AM: Opening Remarks by NJIT ECEChair Dr. Misra10:00 AM - 10:50 AM: Brain-Inspired AI on the Edge for Precision Medicine by Dr. Jack (Qingxue) Zhang (Purdue University)10:50 AM - 11:40 AM: Algorithm and Hardware Co-Design for Efficient Deep Learning: Sparse and Low-rank Perspective by Dr. Bo Yuan (Rutgers University)11:40 AM - 12:30 PM: Toward Opportunistic and Fast Integrated Sensing and Computing for Edge Imaging Systems by Dr. Shaahin Angizi (New Jersey Institute of Technology)12:30 PM - 01:30 PM: Lunch & Poster Presentation01:30 PM: ConclusionYou do not have to be an IEEE Member to attend. Refreshmen is free for all attendess. Please invite your friends and colleagues to take advantages of this Invited series of Distinguished Lectures. You need to register.Room: 202, Bldg: ECEC, 154 Summit Street, Newark, NJ 07102, Newark, New Jersey, United States, 07102