Keynote Speakers

 KEYNOTE SPEAKER Ⅰ

Prof. George K. Karagiannidis

IEEE Fellow

Aristotle University of Thessaloniki, Greece

George K. Karagiannidis was born in Pithagorion, Samos Island, Greece. He received the University Diploma (5 years) and PhD degree, both in electrical and computer engineering from the University of Patras, in 1987 and 1999, respectively. From 2000 to 2004, he was a Senior Researcher at the Institute for Space Applications and Remote Sensing, National Observatory of Athens, Greece. In June 2004, he joined the faculty of Aristotle University of Thessaloniki, Greece where he is currently Professor in the Electrical & Computer Engineering Dept. and Head of Wireless Communications & Information Processing (WCIP) Group. He is also Honorary Professor at South West Jiaotong University, Chengdu, China.He is an IEEE Fellow, recognized for his “Contributions to the performance analysis of wireless communication systems”. He is one of the most highly-cited authors across all areas of Electrical Engineering, recognized as Web-of-Science Highly Cited Researcher in the last seven consecutive years 2015-2021.

 KEYNOTE SPEAKER Ⅱ 

Prof. Xinwang Liu

IEEE Senior Member

National Uinversity of Defense Technology

In recent years, Xinwang Liu has been working on clustering analysis intensively. Specifically, he has made significant innovative contributions on fusion mechanism of multi-view clustering, incomplete multi-view clustering and deep clustering analysis, etc. Based on his research works, he has published 76 papers in CCF-A ranked reputable journals and top-tier international conferences such as IEEE Trans. PAMI, IEEE Trans. KDE, ICML and NeurIPS in the recent five years. According to Google Scholar, his papers have received more than 9100 citations. He has also received the First-Grade Natural Science Award of Hunan Province twice. He is on the editorial board of《IEEE Trans. Neural Networks and Learning Systems》,《IEEE Trans. Cybernetics》, etc. He also serves/served as Area Chair or Senior PC member for CCF-A/B ranked international conferences for more than 20 times. He has been awarded the NSFC Excellent Young Scientists Fund in 2019, and the Ministry of Science and Technology innovation 2030 "New Generation of Artificial Intelligence" Major Program for Young Scientists in 2020.

 KEYNOTE SPEAKER Ⅲ 

Prof. Xiangjie Kong

IEEE Senior Member

Zhejiang University of Technoligy, China

Dr. Xiangjie Kong is currently a Full Professor in the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. Previously, he was an Associate Professor in School of Software, Dalian University of Technology (DUT), China, where he was the Head of the Department of Cyber Engineering. He is the Founding Director of City Science of Social Computing Lab (The CSSC Lab). He is/was on the Editorial Boards of 6 International journals. He has served as the General Co-Chair, Workshop Chair, Publicity Chair or Program Committee Member of over 30 conferences. Dr. Kong has authored/co-authored over 140 scientific papers in international journals and conferences. His research has been reported by Nature Index and other medias. He has been invited as Reviewers for numerous prestigious journals. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 14 copyrighted software systems and 20 filed patents. He is named in the2019 and 2020 world’s top 2% of Scientists List published by Stanford University. Dr. Kong received IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars. He has been invited as Keynote Speaker at 2 international conferences, and delivered a number of Invited Talks at international conferences and many universities worldwide. His research interests include big data, network science, and computational social science. He is a Distinguished Member of CCF, a Senior Member of IEEE, a Full Member of Sigma Xi, and a Member of ACM.

 KEYNOTE SPEAKER Ⅳ 

Dr. Xiaoli Bai

Associate Fellow of AIAA

Rutgers University, USA

Dr. Xiaoli Bai is a leading expert in the field of astrodynamics and space robotics, with a focus on spacecraft guidance, control, and navigation. As an Associate Professor in the Department of Mechanical and Aerospace Engineering at Rutgers, The State University of New Jersey, she actively researches and develops new technologies to advance our understanding of these critical areas of space exploration. Dr. Bai is a recipient of numerous awards and recognitions, including the 2019 NASA Early Career Faculty Award, the 2016 Air Force Office of Scientific Research Young Investigator Research Program award, the Outstanding Young Aerospace Engineer Award from Texas A&M University in 2018, and the A. Water Tyson Assistant Professor Award from Rutgers in 2018. She is also an Associate Fellow for the Class of 2021 in the American Institute of Aeronautics and Astronautics (AIAA) and a recipient of the prestigious Amelia Earhart Fellowship. Dr. Bai's work has contributed significantly to our understanding of the challenges and opportunities presented by space exploration, and her expertise is sought after by colleagues and collaborators around the world.

 KEYNOTE SPEAKER V 

Prof. Kamran Iqbal

University of Arkansas at Little Rock, USA

Professor Kamran Iqbal obtained his BE in Aeronautical Engineering from NED University, and his MS, MBA and Ph.D. in Electrical Engineering from the Ohio State University. He has held academic appointments at College or Aeronautical Engineering, GIK Institute of Engineering Science and Technology, Northwestern University, California State University at Fullerton, University of California, Riverside, University of California, Irvine, and University of Arkansas at Little Rock where he currently serves as Professor of Electrical and Computer Systems Engineering. His research interests include neuromechanics and motor control of human movement, biomedical signal and image processing, renewable energy, mechatronics, and machine learning. He is a member of IEEE (USA), and member of IET (UK). He has regularly served as program evaluator for ABET Engineering Accreditation Commission. He is author of three monographs, 50 journal papers and over 100 conference publications.