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Yang Tang

PhD Advisor

Professor

IEEE Fellow

School of Information Science and Engineering

Contact

Email: yangtang@ecust.edu.cn

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Resume

Dr. Yang Tang is now a Professor at Department of Automation, and the Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China. He was a Research Associate with the Hong Kong Polytechnic University, Hong Kong, from 2008 to 2010. From 2011 to 2015, he conducted his postdoctoral research with the Humboldt University of Berlin, Berlin, Germany, and the Potsdam Institute for Climate Impact Research, Potsdam, Germany. He is now a Professor with the East China University of Science and Technology, Shanghai, China. He has published over 100 refereed papers in international journals such as Nature Communications, Patterns (Cell Press), Automatica, IEEE Transactions, SIAM Journals and APS journals (including more than 20 papers in IEEE TAC and Automatica). His current research interests include multi-agent systems/complex networks, cyber-physical systems, artificial intelligence, autonomous systems, hybrid dynamical systems, and their applications. Dr. Tang was a recipient of the Alexander von Humboldt Fellowship in 2011 and he got the National Young Distinguished Professor and National Distinguished Professor of 2015 and 2020, respectively. He is a Senior Board Member of Scientific Reports, an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Systems Journal and Engineering Applications of Artificial Intelligence (IFAC Journal) and Science China Information Sciences, etc. He is also a Leading Guest Editor for several special issues in IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Cognitive and Developmental Systems, CHAOS, the Journal of the Franklin Institute. He is a Guest Editor for topics like industrial metaverse, large language models in IEEE Transactions on Neural Networks and Learning systems, IEEE Transactions on Cybernetics and Science China Information Sciences. He is a Vice Chair of Technical Committee on Big Data, Vice Chair of Technical Committee on Networked Intelligence, Chinese Association of Automation (CAA), a technical committee of Complex Systems and Complex Networks (CSIAM, China) and a member of Young Working Committee in Chinese Association of Automation. He is an IEEE Fellow.

Fellowships & Honors & Awards

   ●  IEEE Fellow, 2023 (valid from Jan. 2024)

   ●  AAIA Fellow, 2023

   ●  IEEE Transactions on Circuits and Systems I: Regular Papers, Best Associate Editor, 2022

   ●  IEEE ACCESS, Outstanding Associate Editor, 2022

   ●  Global Top 2% Scientist, Stanford University, 2022

   ●  Highly Cited Researcher, Essential Science Indicators, Clarivate Analytics, Engineering, 2022 

   ●  IEEE Transactions on Emerging Topics in Computational Intelligence, Outstanding Associate Editor, 2021

   ●  Highly Cited Researcher, Web of Science, Clarivate Analytics, 2021 

   ●  Global Top 2% Scientist, Stanford University, 2021

   ●  Youth Science and Technology Award for PSE, 2021

   ●  Most Cited Chinese Researchers, 2021, Scopus

   ●  Highly Cited Researcher, Web of Science, Clarivate Analytics, 2020 

   ●  IEEE Transactions on Neural Networks and Learning Systems, Outstanding Associate Editor, 2020

   ●  National Distinguished Professor, 2019

   ●  Highly Cited Researcher, Web of Science, Clarivate Analytics, 2019

   ●  President Award of ECUST, 2019

   ●  Highly Cited Researcher, Web of Science, Clarivate Analytics, 2018

   ●  Renewed Researcher from Alexander von Humboldt Research Stiftung, Germany, 2018

   ●  May 4th Medal (Youth Medal) of Shanghai, 2018

   ●  Highly Cited Researcher, Web of Science, Clarivate Analytics, 2017

   ●  May 4th Medal (Youth Medal), East China University of Science and Technology, 2017

   ●  IEEE Trans. Cybernetics Outstanding Reviewer, IEEE, 2015

   ●  National Young Distinguished Professor, 2014

   ●  Top 100 Chinese Most Influential International Academic Papers, 2014

   ●  Journal of the Franklin Institute, Excellent Reviewer, 2013

   ●  Shanghai Outstanding Ph.D. thesis, China, 2013

   ●  Alexander von Humboldt Research Fellow, Germany, 2011 

Principal Investigator:

  1. Subprogram of Major Program of Natural Science Foundation of China (62293502): Cyber-physical coordinated security situation awareness theories and methods in new power systems, 2023-2027

  2. Key Program of Natural Science Foundation of China (62233005): Information autonomous transmission, interactive sharing and cooperative observation of nano-satellites under limited resources, 2023-2027;

  3. National Key Research and Development Program of China (2021YFB1714300): Intelligent management and control of industrial big data-driven for product quality, 2021-2024;

  4. Flaw detection of printer labels via artificial intelligence, Honeywell Company, (2021-2022).

  5. Program of Shanghai Academic Research Leader (20XD1401300): Estimation, Control and Optimization of Networked Coupled Dynamical Systems, 2020-2023;

  6. Chinesisch-Deutschen Zentrum für Wissenschaftsförderung (NSFC & DFG), Sino-German Mobility Programme(Sino-German Scientist Cooperation and Exchanges, M-0066): Distributed Control of Non-Holonomic Multi-Agent Systems in Wireless Communication Networks, 2020-2022;

  7. National Key Research and Development Program of China (2018YFC0809302): The construction techniques of knowledge graph for hazardous chemicals safety based on the fusion of data from diverse domains, 2018-2020;

  8. Renewed research from Alexander von Humboldt Research Stiftung, Germany, 2018: Formation control of multiple rigid bodies with switching topologies, 2018;

  9. Natural Science Foundation of China (61751305): Risk early warning and smart decision making in the petroleum refinery process based on human-computer cooperative co-learning, 2018-2020;

  10. Natural Science Foundation of China (61673176): Coordination and control of hybrid multi-agent networks, 2017-2020;

  11. National Young Distinguished Professors 2015-2018;

  12. Alexander von Humboldt Foundation, 2011-2013.

Participant:

  1. Integrated modeling theory and technology for plant wide refinery optimization, (2016-2020, Grant No. 61590923), Subprogram of Major Program of the National Natural Science Foundation of China;

  2. IRTG 1740, Germany (Deutsche Forschungsgemeinschaft, 2013-2015)

  3. Platform Research Programme, Hong Kong, Development of a Smart Process Flow Management Expert System for Agile Manufacturing of Apparel Supply Chain, (2010-2012)

  4. Platform Research Programme, Hong Kong, Development of a Fashion Sales Forecasting Decision Support System for Retailing, (2008-2010)

  5. Development of Textile and Fashion Supply Chain Models for the Leanness and Agility of Sourcing Apparel Products Using Simulation and Optimization Techniques, Natural Science Foundation Project of China of Hong Kong (2008-2009)




Research

  • Aritificial intelligence: robotic systems, computer vision, deep reinforcement learning, big data analysis, deep learning, evolutionary computation, causal inference, industrial intelligence

  • Dynamical systems: distributed estimation, control and optimization, cyber-physical systems, complex networks, hybrid dynamical systems, power grids, early risk warning