Speakers

Yi Pan
Shenzhen Institue of Advanced Technology, Chinese Academy of Sciences, China
 
Dr. Yi Pan is currently a Chair Professor and the Dean of College of Computer Science and Control Engineering at Shenzhen Institue of Advanced Technology, Chinese Academy of Sciences, China and a Regents’ Professor Emeritus at Georgia State University, USA. He served as Chair of Computer Science Department at Georgia State University from 2005 to 2020. He has also served as an Interim Associate Dean and Chair of Biology Department during 2013-2017. Dr. Pan joined Georgia State University in 2000, was promoted to full professor in 2004, named a Distinguished University Professor in 2013 and designated a Regents' Professor (the highest recognition given to a faculty member by the University System of Georgia) in 2015.

Dr. Yi Pan is Fellow of American Institute for Medical and Biological Engineering, Foreign Member of Russian Academy of Engineering, Foreign member of Ukrainian Academy of Engineering Science, Member of European Academy of Sciences and Arts, European Academy of Natural Sciences, Fellow of the Royal Society for Public Health, Fellow of the Institute of Engineering and Technology, and Fellow of the Japan Society for the Promotion of Science.

Dr. Pan received his B.Eng. and M.Eng. degrees in computer engineering from Tsinghua University, China, in 1982 and 1984, respectively, and his Ph.D. degree in computer science from the University of Pittsburgh, USA, in 1991.

Dr. Pan has published more than 450 papers including over 250 journal papers with more than 100 papers published in IEEE/ACM Transactions/Journals. In addition, he has edited/authored 43 books. His work has been cited more than 20000 times based on Google Scholar and his current h-index is 90. Dr. Pan is currently serving as Editor-in-Chief of Big Data Mining and Analytics (a top 3% journal), Associate Editor-in-Chief of Journal of Computer Science and Technology (JCST), and Chinese Journal of Electronics (CJE). Dr. Pan has served as an editor-in-chief or editorial board member for 20 journals including 7 IEEE Transactions.
Lizhuang Ma
Shanghai Jiao Tong University, China
 
Prof. Lizhuang Ma received his B. Sc. and Ph.D. degree at Zhejiang University, China in 1985 and 1991 respectively. Dr. Ma was promoted as Professor in 1995. He was a visiting Professor at CAMTech, NTU, Singapore from 1999 to 2000. He is now a Distinguished Professor and Vice Chair of AI Institute, Shanghai Jiao Tong University, China. Dr. Ma is the recipient of China National Excellent Young Scientist Foundation, first class member of China National Hundred-Thousand-Ten-thousand Talent Plan in 1996 and 1997, respectively. He was awarded Shanghai Municipal Science and Technology Progress Award grand prize(2 in about 1000 excellent achievements), first prize and second prize in 2020, 2011 and 2014, respectively. He serves as the chairman of the specialized Committee of Animation and Digital Media, Chinese Society of Image Graphics. His research interests include computer vision, computer graphics and digital media technology. He has published more than 500 papers including IEEE TPAMI, TIP, CVPR, ICCV.
Alexander Vladimirovich Bobryakov
National Research University-Moscow Power Engineering Institute, Russia
 
Alexander Vladimirovich Bobryakov, Professor at the National Research University-Moscow Power Engineering Institute, Head of the Department of Control and Information Systems, Member of the Academic Committee; Fellow of the Russian Academy of Engineering.
Professor Bobryakov has made significant contributions to his field, particularly in the application of modern IT for improving energy efficiency in economic sectors. His work on cognitive modeling techniques has also been influential in the sustainable development of urban power systems.

He began his tenure at the Moscow Power Engineering Institute on March 1, 1984
Educated and qualified at the same institute from September 1, 1978, to March 1, 1984.
His Research Interests include: Sustainable development issues of urban power systems
Studies based on cognitive modeling technique, Enhancing energy efficiency in the economic budget sector through modern information technologies.
To be updated