Purdue Engineering Frontiers Lecture, Wed., Nov. 20
Event Date: | November 20, 2024 |
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Hosted By: | College of Engineering and the Elmore Family School of Electrical and Computer Engineering |
Time: | 2:30 p.m. |
Location: | MSEE 190 |
Priority: | No |
School or Program: | College of Engineering |
College Calendar: | Show |
Abstract: In the first part of the talk, I will present my first attempts at applying Machine learning for end-to-end communications systems design for a variety of communication channels including the additive white Gaussian noise (AWGN) channel, the multi-user interference channel, and the MIMO fading channel. In the second part, I will consider the problem of synthesis and generation of facial images, with the ultimate purpose being low bit rate image/video compression for transmission over noisy channels.
Bio: Nambi Seshadri is currently an Adjunct Professor, affiliated with the Department of Electrical and Computer Engineering at the University of California, San Diego, USA, and a Distinguished Institute Professor at the Indian Institute of Technology-Madras, India. He serves on the advisory board of several startups including Pleno, Inc., in San Diego, USA, and Shoelace Wireless, Irvine, CA.
2024-11-20 14:30:00 2024-11-20 15:30:00 America/Indiana/Indianapolis Purdue Engineering Frontiers Lecture, Wed., Nov. 20 Nambi Seshadri, Adjunct Professor, Electrical and Computer Engineering, University of California at San Diego and Distinguished Institute Professor, Indian Institute of Technology, Madras will present "Machine Learning for End-to-End COmmunication Systems Design" as part of the Purdue Engineering Frontiers Lecture on Wednesday, November 20, at 2:30 p.m. in MSEE 190. MSEE 190