Speakers

Prof. Zhiguo Shi, Zhejiang University, China

IET Fellow, IEEE Senior Member

Zhiguo Shi received the B.S. and Ph.D. degrees in electronic engineering from Zhejiang University, Hangzhou, China, in 2001 and 2006, respectively.,Since 2006, he has been a Faculty Member with the Department of Information and Electronic Engineering, Zhejiang University, where he is currently a Full Professor. From 2011 to 2013, he visited the Broadband Communications Research Group, University of Waterloo, Waterloo, ON, Canada. His current research interests include signal and data processing. He serves as an Editor for the IEEE Network, IET Communications, and Journal of the Franklin Institute. He was a recipient of the Best Paper Award from the ISAP 2020, the IEEE GLOBECOM 2019, the IEEE iThings 2019, the EIA MILCOM 2018, the IEEE WCNC 2017, the CSPS 2017, the IEEE/CIC ICCC 2013, the IEEE WCNC 2013, and the IEEE WCSP 2012. He was also a recipient of the First Prize for Wu Wenjun AI Science and Technology Award in 2020, the First Prize for Science and technology Development of the Ministry of Education in 2015, and the Second Prize for the Scientific and Technological Award of Zhejiang Province in 2012.

Prof. Linqin Cai, Chongqing University of Posts and Telecommunications, China

Male, Ph.D., Professor, Doctoral Supervisor. D., Professor, Ph.D. Tutor. Teacher of School of Automation, Chongqing University of Posts and Telecommunications, Deputy Director of Chongqing Education Big Data Research Center, Member of Intelligent Robotics Committee of China Artificial Intelligence Society, Member of Chongqing Electrical Information Teaching Steering Committee, Expert of Conference Review/Communication Review of National Science and Technology Key R&D Program, Expert of Communication Review of National Natural Science Foundation, Chongqing/Guangxi/Zhejiang Provincial and Municipal Science and Technology Programs, Ph. D. from China University of Science and Technology, visiting scholar at National University of Singapore and University of Guihu in Canada, and Wenfeng Postal Scholar at Chongqing University of Posts and Telecommunications. He has long been engaged in the research of virtual reality/augmented reality, emotional interaction, artificial intelligence, intelligent education, etc. He has presided over nearly 10 national and provincial scientific research projects such as National Self-contained Program, National Self-contained Youth Fund, Chongqing Self-contained Program, etc., and has completed 10 national and provincial scientific research projects such as National Key Research and Development Program, National Self-contained Program, National Self-contained Program, and Chongqing Self-contained Program. He has published more than 60 papers in IEEE TMI, IEEE TFS, APPL SOFT COMPUT, Software Journal and other journals, authorized 19 invention patents, transferred 8 achievements, and won 8 provincial and ministerial awards, such as the Second Prize of Chongqing Municipal Scientific and Technological Advancement and the Second Prize of Scientific and Technological Advancement of China Machinery Industry Federation.

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Prof. Yandong Gong, Beijing Information Science and Technology University, China

Yandong Gong received the Ph.D. degree from Beijing Jiaotong University, China, in 1998. He worked as a Post-Doctoral Researcher with Nanyang Technological University, Singapore, from 2000 to 2002. Later, he joined the Institute for Infocomm Research, A*STAR, Singapore. Since 2019, he has been with Beijing Information Science and Technology University as a Full Professor. He has authored or coauthored more than 200 papers on reputable international journals and conferences. His current research areas include fiber-optic sensors and terahertz technology.

Speech Title: Polarization Test in Terahertz Spectroscopy

Abstract: Terahertz wave has many potential applications, and polarization is a very important electromagnetic property of them. To test THz polarization in a Terahertz Spectroscopy system, we have comprehensively investigated achromatic Terahertz polarization waveplates and Polarimetric Terahertz Spectroscopy systems. Besides conventional parameters, this polarization test system will be able to automatically measure the State of Polarization of THz waves and all the additional polarization - related information of samples across the entire THz band. Such a system will be a powerful sensing tool for exploring new Terahertz applications.