【演講公告】時間：2024.07.02 (Tue.) 13:30-15:00@EC345，講者：Prof. Ashutosh Sabharwal, Rice University／講題：Multipath Radar Imaging for Next-generation Wireless Networks
Time: 2024.07.02 (Tue) 13:30-15:00
Venue: EC 345
Speaker: Prof. Ashutosh Sabharwal, Rice University
Host: Prof. Jyh-Cheng Chen
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Title: Multipath Radar Imaging for Next-generation Wireless Networks
Abstract:
As the wireless standards occupy larger parts of the spectrum with an ever-larger number of antennas, there is an opportunity to also use the communications spectrum for“imaging”the environment. Thus, there is an opportunity for next-generation networks like 6G to be multi-function, i.e., use the same spectrum for multiple functions. In this talk, we will show how multipath propagation - common in wireless networks - can be harnessed to improve radar-based sensing. The new multipath-based methods allow radar imaging beyond the field-of-view of the radar and estimate the full velocity vector.
Speaker Bio:
Ashutosh Sabharwal is the Ernest D. Butcher Professor in the Electrical and Computer Engineering department at Rice University. He works in two independent areas - wireless networks and digital health. His ongoing work in wireless focuses on theory and methods for joint wireless communications & imaging, as well as large-scale experimental platforms. He was one of the inventors of in-band full-duplex communications, a technology used in both wireline and wireless standards. He is the founder of the WARP project (warp.rice.edu), an open-source project used by 150+ research groups worldwide. He is currently leading several NSF-funded center-scale projects, notably Rice RENEW (renew-wireless.org), to develop an open-source software-defined massive MIMO wireless network platform. He also leads the Rice Digital Health Initiative (dhi.rice.edu); his digital health research focus is the development of devices and data science to quantify behavior-biology pathways across many diseases. He received the 2017 IEEE Jack Neubauer Memorial Award, 2018 IEEE Advances in Communications Award, 2019 and 2021 ACM Test-of-time Awards, 2019 ACM MobiCom Community Contribution Award, and 2023 ICC Best Paper Award. His research has led to multiple startups and FDA-approved products. He is a Fellow of IEEE, ACM and the National Academy of Inventors.
