The information on the recruitment of 2022 graduate tutors on the Creativity Labs and Studios platform at the School of Creativity and Art is as follows:

Zheng Tian

An assistant professor of Artificial Intelligence and Digital Art (AIDA) Lab. He obtained his PhD in Computer Science from University College London (UCL), UK. His doctorate research mainly focuses on multi-agent system, reinforcement learning and generative model. Many of his research results were published on first-class international conferences in related fields such as NeurIPS, AAAI, IJCAI and CoRL. He is the primary member of UCL's EXIT, a team that developed algorithm independent of and parallel with Google Deepmind AlphaGo. He has served as a PC member of NeurIPS, IJCAI, AAAI and other world-renowned conferences, as well as a reviewer of many international journals and conferences such as ACM Computing Surveys, Frontiers of Computer Science, etc.

Research direction: Reinforcement learning, environmental simulation, generative models, speech synthesis, image processing, etc. in design and art

Admissions Major: Computer Science and Technology

Email: tianzheng@shanghaitech.edu.cn

Jun Wang

The director of Artificial Intelligence and Digital Art Lab (AIDA), professor of the Department of Computer Science at the University of London College (UCL), director of Internet Science and Big Data Analysis, doctor of Delft University of Technology in the Netherlands, major researcher in intelligent information systems, including: data mining, computational advertising, recommendation systems, machine learning, reinforcement learning, generative models, etc. Wang Jun has published more than 100 academic papers and he won the best paper award multiple times. He is an internationally recognized expert in computational advertising and intelligent recommendation systems. (video)

Research direction: Artificial Intelligence, Machine Learning, Reinforcement Learning and Multi-agent Reinforcement Learning in Design and Art

Admissions Major: Computer Science and Technology

Email: wangjun@shanghaitech.edu.cn

Bin Wei

A distinguished professor of CASE. He is also a global specialist in special equipment and industrial Internet technology. He graduated from Manufacturing Engineering of University of Nebraska Lincoln and got a doctor's degree in 1994. He has more than 30 years of scientific research, production and management experience in the direction of special processing technology. He was the global chief engineer of materials and manufacturing at GE Central Research Institute. A total of 55 authorized international patents and 32 technical papers have been published.

Research direction: Edge computing, Automatic identification, Signal processing, Closed-loop control of non-traditional manufacturing process of power equipment, automatic testing

Admissions Major: Electronic Science and Technology.

Email: weib20188@outlook.com