Global Summer/Winter School
S031 Machine Intelligence and Robotics

Session B                                               


Course Title: S031 Machine Intelligence and Robotics

Duration: 2019.7.11-2019.8.2( 3 weeks)  

Campus: Minhang


Course Description

This course, Machine Intelligence and Robotics, aims to provide both an overview and practical expereince regarding artificial intelligence, specifically its applications on robotics, as well as on manufacturing processes. 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, students will be able to gain a range of theoretical and practical skills necessary to develop real intelligent systems. The summer course will provide a good opportunity to network with people working in the field, meet prominent researchers, share best practices, and to establish contacts through social interactions that may lead to research collaborations in the future.


  • The students will have the chance to study theoretical knowledge as well as apply algorithms to real systems.


  • Hand-on labs for 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 be part of 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 on 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 Department of Automation, Shanghai Jiao Tong University, China. He worked as a visiting professor at 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 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 61131-3 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.



Attendance: 20%

Lab report and Assignment: 40%

Final Project Presentation: 40%



Program Director: Prof. Jie Yang (

Program Coordinator: Associate Prof. Xiaolin Huang (  

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