由信息与通信工程学院主办的“信通论坛”本次邀请到美国宾夕法尼亚州立大学Vishal Monga教授进行线上学术交流，具体安排如下，欢迎感兴趣的师生参加。
一、主 题：
Constant Modulus Constraints in Radar Waveform Design: Retrospectives and Future Trends
二、主讲人：
Vishal Monga（宾夕法尼亚州立大学，教授）
三、时 间：2022年12月8日（周四）16:00
四、参加方式：
线上平台：腾讯会议
会议链接：https://meeting.tencent.com/dm/ENjKqZueBbTq
会议ID：484-253-557
会议密码：502502
五、主持人：崔国龙 教授
六、内容简介：
Waveform design constitutes one of the fundamental problems in radar signal processing. In practice, a radar figure of merit such as SINR or deviation from a desired beampattern must be optimized subject to scenario specific practical constraints. One key constraint that makes the problem particularly challenging is that of constant modulus required in practice as most radar systems employ non-linear power amplifiers. The past two decades have seen a variety of analytical and numerical innovations to capture this hard non-convex constraint. This talk will survey these approaches by categorizing them and explaining their evolution. We will conclude by pointing to recent trends which involve the use of deep learning methods.
七、主讲人简介
Prof. Vishal Monga has been on the EECS faculty at Penn State since Fall 2009. From Oct 2005- July 2009 he was an imaging scientist with Xerox Research Labs. He has also been a visiting researcher at Microsoft Research in Redmond, WA and a visiting faculty at the University of Rochester. He received his PhD from the department of Electrical and Computer Engineering at the University of Texas, Austin. Prof. Monga's research has been recognized via the US National Science Foundation CAREER award. He is also a recipient of the 2019 Penn State Engineering Alumni Society (PSEAS) Outstanding Research Award and the 2022 PSEAS Premier Research Award. For his educational efforts, Dr. Monga received the 2016 Joel and Ruth Spira Teaching Excellence award. He currently serves on the IEEE SAM, Computational Imaging and the Bio-Imaging and Signal Processing Technical Committees (TCs). He was a Technical Directions chair of the IEEE Image Video and Multi-dimensional Signal Processing TC from 2017-19. He has served on many Journal editorial boards in signal and image processing and vision including IEEE TIP, JSTSP, TCSVT, SPL etc. He is a founding editorial member of the open access Frontiers in Signal Processing. In 2022, Dr. Monga was inducted into the National Academy of Inventors; he holds 45 US patents. He is the Editor of the Springer book: Handbook of Convex Optimization Methods in Imaging Science.
