We are thrilled to announce that IEEE MTTS SBC DU is going to host a webinar on โ๐๐จ๐ซ๐ญ๐๐๐ฅ๐ ๐๐๐๐๐ซ ๐๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ ๐๐ญ ๐ญ๐ก๐ ๐๐ฎ๐ฆ๐๐ง-๐๐ข๐๐ซ๐จ๐ฐ๐๐ฏ๐ ๐ ๐ซ๐จ๐ง๐ญ๐ข๐๐ซ: ๐๐ข๐๐ ๐๐๐ญ๐ข๐ฏ๐ข๐ญ๐ฒ ๐๐๐ง๐ฌ๐ข๐ง๐ ๐๐ง๐ ๐๐ฎ๐ฆ๐๐ง ๐๐ซ๐๐๐ค๐ข๐ง๐ โ. This webinar will be beneficial to Engineers and enthusiasts who are particularly interested in RADAR technology. Our speakers have significant experience and outstanding accomplishments in this sector.
๐๐๐๐๐: โ๐๐จ๐ซ๐ญ๐๐๐ฅ๐ ๐๐๐๐๐ซ ๐๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ ๐๐ญ ๐ญ๐ก๐ ๐๐ฎ๐ฆ๐๐ง-๐๐ข๐๐ซ๐จ๐ฐ๐๐ฏ๐ ๐ ๐ซ๐จ๐ง๐ญ๐ข๐๐ซ: ๐๐ข๐๐ ๐๐๐ญ๐ข๐ฏ๐ข๐ญ๐ฒ ๐๐๐ง๐ฌ๐ข๐ง๐ ๐๐ง๐ ๐๐ฎ๐ฆ๐๐ง ๐๐ซ๐๐๐ค๐ข๐ง๐ โ.
๐๐ฒ๐๐ฎ๐ถ๐น๐ ๐ฎ๐ฏ๐ผ๐๐ ๐๐ต๐ฒ ๐ฒ๐๐ฒ๐ป๐:
๐๐๐ญ๐: March 8, 2024, Friday
๐๐ข๐ฆ๐: 8:30 PM (BST)
๐๐ฒ๐ฉ๐: Webinar
๐๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ: Zoom
๐๐ข๐ง๐ค: https://bdren.zoom.us/j/97582913947…
๐๐๐๐ญ๐ข๐ง๐ ๐๐: 975 8291 3947
๐๐๐ฌ๐ฌ๐ฐ๐จ๐ซ๐: 268939
๐๐ฉ๐๐๐ค๐๐ซ ๐๐: ๐๐ซ. ๐๐ก๐๐ง๐ ๐ณ๐ก๐ข ๐๐ข:
Changzhi Li received a Ph.D. degree in Electrical Engineering from the University of Florida, Gainesville, FL in 2009. He is a Professor at Texas Tech University. His research interest is microwave/millimeter-wave sensing for healthcare, security, and human-machine interface.
Dr. Li is an MTT-S Distinguished Microwave Lecturer. He was a recipient of the IEEE MTT-S Outstanding Young Engineer Award, the IEEE Sensors Council Early Career Technical Achievement Award, the IEEE-HKN Outstanding Young Professional Award and the ASEE Frederick Emmons Terman Award. He is the General Chair of the 2024 IEEE Radio & Wireless Week (RWW), and an Associate Editor of the IEEE JOURNAL OF ELECTROMAGNETICS, RF AND MICROWAVES IN MEDICINE AND BIOLOGY. He served as the chair of the MTT-S Technical Committee โBiological Effect and Medical Applications of RF and Microwaveโ from 2018 to 2019, the TPC Chair of the 2022 IEEE RWW, a TPC Co-Chair of the IEEE MTT-S International Microwave Biomedical Conference (IMBioC) from 2018 to 2019, and the TPC Chair of the IEEE Wireless and Microwave Technology Conference from 2012 to 2013. He is a Fellow of the IEEE and a Fellow of the National Academy of Inventors (NAI).
๐๐ฉ๐๐๐ค๐๐ซ ๐๐: ๐๐ฒ๐๐ ๐๐จ๐ก๐ ๐๐๐๐ข๐ง
Syed Doha Uddin is a Graduate Student Member of IEEE. He received his B.Sc. degree in Electrical and Electronic Engineering from the University of Dhaka, Dhaka, Bangladesh, in February 2023. He is currently pursuing his Ph.D. degree in Electrical Engineering from Texas Tech University, Lubbock, TX, USA. His research interest is focused on radar signal processing, vital signs monitoring, and non-contact sensing.
Dr. Shekh Md Mahmudul Islam (Senior Member, IEEE) received the B.Sc. (Hons.) and M.Sc. degrees in Electrical and Electronic Engineering from the University of Dhaka, Dhaka, Bangladesh, in 2012 and 2014, respectively. He also received a Ph.D. degree in Electrical Engineering from the University of Hawaii at Manoa, Hawaii, USA, with a focus on biomedical applications incorporating RF/Microwave technologies in December 2020. He is currently working as an Assistant Professor in the Department of Electrical and Electronic Engineering, University of Dhaka. Dr. Islam is now a Senior Member of IEEE and has also been serving as an affiliate member of the technical committee of the MTT-28 Biological Effects and Medical Applications of the IEEE Microwave Theory and Technique Society.
He is also the faculty advisor of the IEEE MTT-S SB DU. He was a recipient of the 2020 University of Hawaii at Manoa Department of Electrical Engineering Research Excellence Award.
๐๐๐ฌ๐ญ๐ซ๐๐๐ญ:
By sensing various life activities with microwave signals, portable radar with state-of-the-art front-end and measurement algorithms has great potential to improve healthcare, security, and human-machine interface. This presentation will first provide an overview of the state-of-the-art smart radar sensors powered by advanced digital/RF beamforming, multiple-input and multiple-output (MIMO), inverse synthetic-aperture radar (ISAR) technique, and deep learning. A few examples based on interferometry, Doppler, frequency-shift keying (FSK), and frequency-modulated continuous-wave (FMCW) modes at 5.8 GHz, 24 GHz, and 120 GHz will be discussed. In addition, the use of nonlinear technologies will be reported, with a focus on in-band third-order intermodulation measurement for enhanced target identification and parameter extraction. Case studies at this exciting human-microwave frontier will be presented on physiological signal sensing, non-contact human-computer interface, driving behavior recognition, human tracking, and studies in clinical environments. Finally, this talk will conclude with future industrial and academic R&D outlooks for microwave short-range life activities sensing.
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