Course Title: S031 Machine Intelligence and Robotics
Duration: 2020.7.9-2020.7.31( 3 weeks)
This course, Machine Intelligence and Robotics, aims for providing both overview and practice techniques for artificial intelligence, specifically its applications on robotics, as well as on manufacturing process. In this course, theory and methods for machine learning, robotics, and networks with multi-agents will be given. Together with practical courses on industrial automation systems programming and intelligent robotics, the students could gain a range of theoretical and practical skills necessary to develop real intelligent systems. The summer course will provide a good opportunity to know people working in the field, to meet prominent researchers, share best practices and to establish contacts through social interactions that may lead to research collaborations in the future.
The courses will be given by researchers from interdisciplines. All the lectures hold Ph.D. degree from universities abroad or have more than 3 years’ working experience abroad. External lectures from famous institutes will be involved as well.
The students will have the chance to study theoretical knowledge as well as to apply algorithms to real systems;
Hand-on labs of programming industrial control systems and robotics, including Institute of Pattern Recognition and Image Processing, Autonomous Robot Lab, Center for Intelligent Wireless Networking, all of which belong to the Key Laboratory of Ministry of Education. The students will explore these top Chinese labs by visiting, colloquia, and potential joint projects.
Tours for intelligent industrial companies in Shanghai, including Tencent, Rockwell Automation, Siemens AG, Huawei, and Hikvision, which cover artificial intelligence and applications in modern industry.
Prof. Jie YANG
Prof. Jie Yang director of Image Processing and Pattern Recognition Institute, Shanghai Jiao Tong University. He received his Ph.D. degree in computer science from the University of Hamburg, Germany. He has led many research projects (e.g., National Science Foundation, 863 National High Tech. Plan), has one book published in Germany, and 5 monographs. He has published more than 300 SCI papers and obtained six provincial and ministerial level achievement awards.
Prof. Yuemin ZHU
Prof. Yuemin Zhu is a permanent Research Director of the CNRS (Centre National de la Recherche Scientifique) of France. He received his B.Sc. degree in telecommunication in 1982 from Huazhong University of Science and Technology (HUST), China, M.Sc. degree in 1984 and Ph.D. in 1988 from the INSA, Lyon, France. He obtained the “Habilitation à Diriger des Recherches” in 1993, France. He received the French National Center for Scientific Research (CNRS) lifelong researcher, the French National Institute of Applied Sciences Professor Yue-min Zhu. He obtained the French National Outstanding Scientific Research Award in 2010 and 2014, and the French Knight Medal in January 2016.
Prof. Hesheng WANG
Prof. Hesheng Wang received his Ph.D. degree in Automation & Computer-Aided Engineering from the Chinese University of Hong Kong, Hong Kong in 2007. From 2007 to 2009, he was a Postdoctoral Fellow and Researcher Assistant in the Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong. He joined Shanghai Jiao Tong University as an Associate Professor in 2009. Currently, he is a Professor of the Department of Automation, Shanghai Jiao Tong University, China. He worked as a visiting professor at the University of Zurich in Switzerland. His research interests include visual serving, service robot, robot control and computer vision. He was a recipient of Shanghai Rising Star Award in 2014 and was awarded Outstanding Youth Foundation from NSFC in 2017.
Associate Prof. Xiaolin HUANG
Dr. Xiaolin Huang received his Ph.D. degree from Tsinghua University in 2012. From 2012 to 2015, he worked as a postdoctoral researcher in KU Leuven, Belgium. After that he was selected as an Alexander von Humboldt Fellow and working in Pattern Recognition Lab, the Friedrich-Alexander-University Erlangen-Nuremberg, Germany, where he was appointed as a group head. From 2016, he has been an Associate Professor at Shanghai Jiao Tong University, Shanghai, China. In 2017, he was awarded the “1000-Talent” (Young Program).
Associate Prof. Jianping HE
Dr. He received his Ph.D. degree in Control Science and Engineering at Zhejiang University, China, in 2013. Since then, he has been a research fellow in Communication Networks Lab (CNLAB) at The University of Victoria, Canada. He is now an Associate Professor at Shanghai Jiao Tong University. In 2018, he was awarded as “1000-Talent” (Young Program).
Associate Prof. Xiang YIN
Dr. Yin received a Ph.D. degree in Electrical Engineering Systems at the University of Michigan, 2017. Since then, he joined the Department of Automation, Shanghai Jiao Tong University in 2017, where he is currently an Associate Professor. In 2018, he was awarded as “1000-Talent” (Young Program).
Associate Prof. Yu QIAO
Dr. Yu Qiao received his Ph.D. degree from the National University of Singapore in 2004. Since 2010, he has been an Associate Professor at Shanghai Jiao Tong University. His research topics cover artificial Intelligence and intelligent instruments. He received a “Certificate of Merit” from the Radiological Society of North America (RSNA).
Associate Prof. Wenbin DAI
Dr. Wenbin Dai is an Associate Professor at Shanghai Jiao Tong University, China. He received his PhD in Electrical and Electronic Engineering at the Department of Electrical and Computer Engineering, the University of Auckland, New Zealand in 2012. He was a Postdoc Fellow at Lulea University of Technology, Sweden from 2013 to 2014. He was also a software engineer from Glidepath Limited – a New Zealand based airport baggage handling system provider from 2007 to 2013. His research interests are IEC 6931-3 PLC, IEC 61499 function blocks, industrial cyber-physical systems, semantic web technologies in industrial automation and industrial software agents.
Assistant Prof. Yue GAO
Dr. Yue Gao received her Ph.D. degree for Computer Science from Cornell University in 2016. After that she joined Shanghai Jiao Tong University as an Assistant Professor. Her research lies at the intersection of artificial intelligence, machine learning, and how it can affect computing and robotics.
Assistant Prof. Xiao YU
Dr. Xiao Yu received her Ph.D. degree for Mechanical and Biomedical Engineering from the City University of Hong Kong in 2017. After that he joined Shanghai Jiao Tong University as an Assistant Professor. His research is mainly for multi-agent systems, mobile robotics, control theory and applications.
Lab Report and Assignment: 40%
Final Project Presentation: 40%
Program Director: Prof. Jie Yang (email@example.com)
Program Coordinator: Associate Prof. Xiaolin Huang (firstname.lastname@example.org)