Prof. Loi Lei Lai, IEEE Life Fellow, IET Fellow, 

DRPT International Incorporated, Perth, Australia

BIO: ProfessorLoi Lei Lai received his B.Sc. (First Class Hons.) and Ph.D. from the University of Aston, Birmingham, UK, in 1980 and 1984 respectively. His D.Sc. is from City, University of London, London, UK, in 2005. All degrees are in electrical and electronic engineering. Professor Lai is currently Chairman of DRPT International Incorporated, Australia. He was a Pao Yue Kong Chair Professor with Zhejiang University, Hangzhou, China; Professor & Chair of Electrical Engineering with City, University of London, London, UK and University Distinguished Professor with Guangdong University of Technology, Guangzhou, China. Professor Lai received an IEEE Third Millennium Medal, the IEEE Power and Energy Society (IEEE/PES) UKRI Power Chapter Outstanding Engineer Award in 2000, a special award from City, University of London in 2005 and is its honorary graduate, the IEEE/PES Energy Development and Power Generation Committee Prize Paper in 2006 and 2009 (Papers published in IEEE Transactions on Energy Conversion), the IEEE Systems, Man, and Cybernetics Society (IEEE/SMCS) Outstanding Contribution Award in 2013 and 2014, the Most Active Technical Committee Award in 2016, and his research team received a Best Paper Award in the IEEE International Smart Cities Conference in October 2020. Professor Lai is an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics: Systems, Editor-in-Chief of the IEEE Smart Cities Newsletter; a member of the IEEE Smart Cities Board of Governor; Member-at-large, IEEE Technical Activities Board (TAB) Committee on Standards & Chair of the Seed Funding ad hoc, Chair of IEEE/SMCS Standards Committee, IEEE/SMCS Fellow Committee Evaluator, IEEE/SMCS Distinguished Lecturer and IEEE/PES Lifetime Achievement Award Committee Assessor. He was a member of the IEEE Smart Grid Steering Committee; the Director of Research and Development Center, State Grid Energy Research Institute, Beijing, China; a Vice President for Membership and Student Activities of IEEE/SMCS; and a Fellow Committee Evaluator and Distinguished Lecturer for the IEEE Industrial Electronics Society. His current research and development interests are in smart cities, smart grid, clean energy and computational intelligence. He is an IEEE Life Fellow and IET Fellow.

Prof. Qijun Zhao

Sichuan University, China

BIO: From 1999 to 2006, Dr. Zhao obtained his bachelor's and master's degrees from the Department of Computer Science at Shanghai Jiao Tong University. From 2006 to 2010, he earned his Ph.D. from the Department of Electronic and Computer Engineering at The Hong Kong Polytechnic University. He conducted postdoctoral research at Michigan State University from 2010 to 2012, and returned to China in 2012 to join Sichuan University, where he has served as an associate professor and professor. Since August 2019, he has been supporting Tibet as the Deputy Dean and discipline leader of the School of Information Science and Technology at Tibet University.

Dr. Zhao has been engaged in research in the fields of biometric recognition and computer vision, with recent research interests primarily focusing on 3D modeling and recognition and their applications in criminal science, video surveillance, healthcare, human-computer interaction, as well as object detection and recognition and their applications in ecological surveys, wildlife protection, and crowd analysis.

Dr. Zhao has published over 80 academic conference and journal papers, including those in CVPR, ECCV, AAAI, ICB, PR, IEEE TPAMI, and IEEE TIFS, and has authored and translated two books related to computer vision. He holds one U.S. patent and five Chinese patents. Dr. Zhao has led research projects, including youth and general projects funded by the National Natural Science Foundation, sub-projects of the 13th Five-Year Plan's key R&D program, provincial and ministerial projects, and several industry collaboration projects. He has long served as a reviewer for well-known journals and conferences in his field, such as IEEE TPAMI, IEEE TIFS, PR, PRL, ICCV, CVPR, ECCV, AAAI, ICIP, and ICPR.

Prof. Wenhua Qian

Yunnan University, China

BIO: WenhuaQian, Ph.D., Professor, doctoral supervisor, Deputy Dean of the School of Information, postdoctoral researcher at Southeast University, industrial innovation talent under Yunnan Province's "Xingdian Talent Support Program," outstanding young talent of Yunnan Province's "Ten Thousand Talents Program," and academic technology leader for young and middle-aged professionals in Yunnan Province. He is a core member of the School of Information's signature research direction in "Graphic and Image Processing." He has been selected for Yunnan Province's Outstanding Youth Cultivation Program and the Yunnan University Backbone Teacher Training Program.

Dr. Qian is a senior member of the China Computer Society, a council member of the China Society of Image and Graphics, a senior member of the China Graphical Society, a committee member of the CAD/CG Special Committee, a member of the National Digital Entertainment and Simulation Society, a member of the Chinese Computer Vision Professional Committee, a member of the Digital Cultural Heritage Professional Committee, a member of the Education Professional Committee of the Yunnan Computer Society, and a committee member of the Teaching Guidance Committee for computer-related disciplines in Yunnan Provincial Universities. He serves on the editorial board of the Journal of Image and Graphics in China, and on the editorial boards of journals such as Computers & Graphics. He has also served as the chairman of the YOCSEF Kunming Subforum of the China Computer Society.

Prof. Jiayi Ma

Wuhan University, China

BIO: Ma Jiayi is a professor and doctoral supervisor at the School of Electronic Information, Wuhan University. He obtained his Bachelor of Science degree in 2008 and his Doctor of Engineering degree in 2014 from Huazhong University of Science and Technology, during which he spent a year at UCLA for joint training. His main research areas include computer vision, pattern recognition, image processing, and deep learning. He has published over 300 academic papers in major international conferences and journals, including CVPR, ICCV, ICML, NeurIPS, IJCV, IEEE TPAMI, and Cell. Among these, more than 200 papers are indexed by SCI, over 200 papers are published in journals classified as Zone 1 by the Chinese Academy of Sciences or in CCF Class A conferences, and he has more than 50 ESI highly cited papers and over 20 ESI hot papers (which are ranked in the top 0.1% of citations in their field). His research has been cited more than 30,000 times according to Google Scholar, and he has an H-index of 88.

Prof. Yu Liu

Hefei University of Technology, China

BIO: He has successively led and participated in several national-level projects, including general projects and key projects from the National Natural Science Foundation and the National Key Research and Development Program, with results applied in pioneering domestic artificial intelligence enterprises. He has received multiple honors, including the Second Prize of the Anhui Provincial Natural Science Award and the Wu Wenjun Artificial Intelligence Excellent Young Talent Award. He has been recognized in various academic lists, including Clarivate's Global Highly Cited Scientists, Elsevier's China High Cited Scholars, and the list of the top 2% of scientists worldwide. He holds over 20 authorized invention patents and has published more than 100 papers in renowned international academic journals and conferences, such as IEEE TPAMI, IJCV, and IEEE TIP. Additionally, he serves on the editorial boards of several prominent journals, including Information Fusion, IEEE Signal Processing Letters, and the Journal of Image and Graphics in China.