Prof. Wanmi Chen
Shanghai University , China
Experience: Prof. Wanmi Chen, as the project leader or technical leader, 5 vertical scientific research projects and 7 horizontal scientific research projects had been completed. with a total scientific research funding of more than 3 million yuan. Among them, 3 of the completed projects have reached the international advanced level through expert appraisal. A total of more than 60 academic papers have been published in international and domestic academic journals and important international conferences, of which more than 20 are included in SCI or EI. Applied for and authorized 6 patents, and registered 2 software copyrights.
Focus of research interest: A comprehensive study of different series of robots (including small soccer robots, middle soccer robots, simulation 2D, 3D soccer robots, humanoid soccer robots, rescue simulation robots, home service robots, basketball robots, smart cars, etc.) The research involves machine vision, machine learning, dynamic role assignment, decision optimization, motion control, etc.
Editor-in-chief of 6 books, "Intelligent Soccer Robot System" was published by Tsinghua University Press in October 2009, the first textbook of its kind in the country, "Innovation and Practice of Competitive Robots" was published by Shanghai University Press in April 2012 , "Fantastic Robot" was published by Chemical Industry Press in June 2014, and "Robot Control Technology" was published by Mechanical Industry Press in February 2017. "Artificial Intelligence" was published by Shanghai Popular Science Press in January 2018. "Service Robot System Design" is published by Chemical Industry Press.
Research Area: A comprehensive study of different series of robots (including small soccer robots, middle soccer robots, simulation 2D, 3D soccer robots, humanoid soccer robots, rescue simulation robots, home service robots, basketball robots, smart cars, etc.) The research involves machine vision, machine learning, dynamic role assignment, decision optimization, motion control, etc.
Assoc. Prof. Lisu Yu
Nanchang University, China
Experience: Dr. Lisu Yu has published lots of top international journals or flagship conferences papers as the first author or corresponding author, including IEEE Vehicular Technology Magazine, IEEE Communications Standards Magazine, IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, and so on. He has served as the student activities chair of IEEE Communication Society Chengdu Chapter and several international conferences technical program committee (TPC) member, Section Chair and Special Track Chair, including IEEE BigData, IEEE WCSP, and so on. He is now serving as an Area Editor of the Elsevier Physical Communication, Editors of the Elsevier Computer Communications, PeerJ Computer Science, PLOS ONE, and Frontiers in Signal Processing for Communications, and a Managing Guest Editor of Elsevier Internet of Things and Cyber-Physical Systems, and IEEE Communications Society Technical Committee on Green Communications and Computing (TCGCC) and Signal Processing and Computing for Communications (SPCC) Members. He is a Senior Member of CIC, Member of IEEE, Member of CCF.
Research Area: advanced wireless communications (B5G/6G), machine learning/deep learning, ultra-dense network (UDN), unmanned aerial vehicle (UAV), and visible light communication (VLC)
Assoc. Prof. Ruhui Ma
Shanghai Jiaotong University, China
Experience: Dr. Ma Ruhui is an associate professor and doctoral supervisor of the computer department of Shanghai Jiao Tong University. He is a CCF member and an IEEE member. He is the deputy director of the State Key Laboratory Cultivation Base jointly built by provinces and ministries, Shanghai Key Laboratory of Scalable Computing and Systems, and Shanghai Cloud Computing Joint Laboratory.
Dr. Ma is an expert in evaluating the National Natural Science Foundation of China and Shanghai Economic and Information Technology Commission. He has won the first prize for technological invention in Shanghai and the third prize for scientific and technological progress in Jiangsu Province. He presided over 15 projects, including two National Natural Science Funds, one critical project in Shanghai, one high-tech field project of Scientific and Technological Innovation Action in Shanghai. He also participated in two national key R&D projects.
Research Area: Artificial intelligence, computer vision, intelligent manufacturing, medical-industrial intersection, cloud computing system, cloud security, intelligent system, and so on. He has published more than 50 SCI/EI indexed papers in top international conferences and journals in the computer field, including AAAI, ICCV, ACM MM, TPDS, TDSC, TBD, TCC, TETC, JCST, JSA, ICSM, ICPP. He also has 27 authorized invention patents, including 4 US patents. He instructed students to win the second prize of the National Mathematical Modeling Competition and the first prize of the Shanghai Mathematical Modeling Competition.
Assoc. Prof. Yongquan yan
Shanxi University of Finance and Economics, China
Experience: Dr. Yongquan Yan received the B.Eng. degree in Electrical Engineering and Automation from Taiyuan University of Technology, Shanxi, China. He received the M.Eng. degree in software engineering from Hunan University, Hunan, China. He received Ph.D. degree in computer software and theory from Beijing Institute of Technology. His current research interests include machine learning, software aging and rejuvenation, and dependable computing. He has published 7 referred articles in total within last 5 years, including Predicting Software Aging With a Hybrid Weight-Based Method[J]. ( Journal of Information Technology Research); Software aging prediction using neural network with ridge[J]. (IET Software); A novel variance analysis of software aging problems [J]. (IET Software).,etc. He is also a member of CCF and member of of the Statistical Society of China.
Research Area: Machine learning, software aging and rejuvenation, and dependable computing.