The 2022 Annual ShanghaiTech Symposium on Information Science and Technology
(ASSIST 2022)

The 2022 Annual ShanghaiTech Symposium on Information Science and Technology
(ASSIST 2022)

27-28 August 2022, Shanghai, China

27-28 August 2022, Shanghai, China


Program

About the event

The Annual ShanghaiTech Symposium on Information Science and Technology (ASSIST) is an international forum that features fundamental research developments and groundbreaking technologies in the areas of electrical engineering, information engineering, computer science, and computational mathematics. Each year, we invite some of the most renowned researchers in the world from academia to present their latest research work and to discuss future research directions. The Symposium aims to bring the state of the art in research and industrial technologies to young faculty and graduate students in China, especially in the neighboring areas of Shanghai.

The first ASSIST held in 2015 focused on Data Science and Machine Learning. The second ASSIST held in 2016 focused on three main topics: Robotics, Virtual Reality, and Computing Theory and Systems. The third ASSIST held in 2017 focused on Artificial Intelligence. The fourth ASSIST held in 2018 focused on Computer Vision. The fifth ASSIST held in 2019 focused on Smart Life.

This year, we will relaunch our ASSIST series after the Covid-19 pandemic. Our ASSIST’s theme is carbon neutrality and connected intelligence. Our featured topics include, but are not limited to, the following:

• Intelligent Power and Energy Systems

• Advanced Power Conversion Techniques

• Decision Intelligence

• Edge Intelligence

• Energy Efficient Computing for the AI Era

The symposium is jointly hosted by the School of Information Science & Technology and 2060 Carbon Neutrality Institute,  ShanghaiTech University. Jointly founded by the Shanghai Municipal Government and the Chinese Academy of Sciences (CAS) in 2013, ShanghaiTech University is devoted to excellence in education and research, providing a training ground for next generation leaders in science, technology, and entrepreneurship.

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Important Dates and Location

  • Registration: Before August 21st, 2022
  • Conference: August 27th - August 28th, 2022
  • Format: Online/Offline Hybrid
  • Location: No.393, Huaxia Middle Road, Pudong District, Shanghai.  Directions
  • Keynote Speakers

    Jianwei Huang

    • Chinese University of Hong Kong, Shenzhen
    • Dean of the School of Science and Engineering
    • Vice President of Shenzhen Institute of Artificial Intelligence and Robotics for Society
    • Editor-in-Chief of IEEE Transactions on Network Science and Engineering
    • IEEE Fellow
    • AAIA Fellow

    Fred C. Lee

    • Center for Power Electronics Systems (CPES), Virginia Tech
    • University Distinguished Professor Emeritus
    • Founder and Director Emeritus of CPES
    • National Academy of Inventors (NAI) Fellow
    • IEEE Fellow

    Liye Xiao

    • Institute of Electrical Engineering of Chinese Academy of Sciences
    • Professor

    Confirmed Speakers

    Lap-Pui Chau

    • Department of Electronic and Information Engineering, Hong Kong Polytechnic University
    • IEEE Fellow
    • Professor

    Xu Chen

    • Sun Yat-sen University
    • Assistant Dean at School of Computer Science and Engineering
    • Professor

    Nan Cheng

    • School of Telecommunications Engineering, Xidian University
    • Professor

    Masahiro Fujita

    • The University of Tokyo
    • Head of AI Chip Design Open Innovation Laboratory (AIDL), National Institute of Advanced Industrial Science and Technology (AIST), Japan
    • Retired Professor, The University of Tokyo

    Yue Gao

    • Fudan University
    • Professor

    Jianye Hao

    • Tianjin University
    • Professor
    • Director of Huawei Noah's Ark Decision-making and Reasoning Lab

    Longbo Huang

    • Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University
    • Professor

    Adrian Ioinovici

    • Holon Institute of Technology, Nanjing University of Aeronautics and Astronautics
    • Professor
    • IEEE Fellow

    Bin Li

    • School of Electrical and Information Engineering, Tianjin University
    • Executive Vice Dean, Graduate School of Tianjin University
    • Professor

    Hong Li

    • School of Electrical Engineering, Beijing Jiaotong University
    • Professor

    Wuhua Li

    • College of Electrical Engineering, Zhejiang University
    • Vice Dean
    • Professor

    Teng Long

    • Cambridge University
    • Professor

    Arokia Nathan

    • Darwin College, University of Cambridge
    • IEEE Fellow
    • Professor

    Xinbo Ruan

    • Department of Electric Engineering, Nanjing University of Aeronautics and Astronautics
    • IEEE Fellow
    • Professor

    Guobing Song

    • School of Electrical Engineering, Xi'an Jiaotong University
    • Professor

    Zhou Su

    • Xi'an Jiaotong University
    • Dean of School of Cyber Science and Engineering
    • Professor

    Yongwen Wang

    • National University of Defense Technology
    • Professor

    Minghao Wen

    • School of Electrical and Electronic Engineering, Huazhong University of Science and Technology
    • Professor

    Yuedong Xu

    • School of Information Science and Technology, Fudan University
    • Professor

    Xu Yang

    • School of Electrical Engineering, Xi'an Jiaotong University
    • Vice Dean at School of Electrical Engineering Professor
    • Professor

    Yang Yu

    • School of Artificial Intelligence, Nanjing University
    • Professor

    Zhengming Zhao

    • Department of Electric Engineering, Tsinghua University
    • IEEE Fellow
    • Professor

    Haibo Zhou

    • School of Electronic Science and Engineering, Nanjing University
    • Professor

    Ting Zhou

    • Shanghai Advanced Research Institute, CAS
    • Professor

    Chunbo Zhu

    • School of Electrical Engineering, Harbin Institute of Technology
    • Professor

    Haojin Zhu

    • Shanghai Jiao Tong University
    • Professor

    Sponsors