Prof. Liangmin Li
Liangmin Li, Distinguished Professor of Northeastern University. PhD of the University of Sheffield, UK. Bachelor's and Master's Degree of Northeastern University. He has long been the chief analysis engineer in the data laboratory of Rolls-Royce, the world's top manufacturing company, and is now the National Key Laboratory of Integrated Automation for the Process Industry of Northeastern University Chief Technology Officer of the laboratory. His research direction is intelligent operation and maintenance of major equipment based on the industrial Internet, and intelligent equipment management and decision-making systems for full-process production lines.
Prof. Gang Wang
Beijing Institute of Technology, School of Automation
Wang Gang, professor and doctoral supervisor at the School of Automation at Beijing Institute of Technology. He was selected for the Youth Program of the Organization Department of the Central Committee. Mainly researching data-driven control of unmanned systems and multi-agent reinforcement learning. At present, he has presided over the National Key R&D Program Youth Project, National Natural Surface Project, and Military Science and Technology Commission 173 Project. He has published more than 50 long articles in IEEE TIT/TAC/TSP and other journals, and more than 50 papers in Neuro IPS/AISTATS/ICASSP and other conferences. He received the IEEE CSS Beijing Chapter Young Author Award in 2022, the "Best Paper Award" in the "Frontiers of Information and Electronic Engineering (English Version)" in 2021, the "Best Paper Award" in the IEEE International Power and Energy Association in 2019, the "Best Student Paper Award" in the 2017 European Signal Processing Conference, and the "Excellent Doctoral Paper Award" in the Chinese Society of Automation in 2020. He is currently serving as an editorial board member for Signal Processing, IEEE TSIPN, IEEE OJCS, and a young editorial board member for the Journal of Automation (English version), as well as the Deputy Secretary General of the Youth Work Committee of the Chinese Command and Control Society.
Assoc. Prof. Hongtian Chen
Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering
Hongtian Chen achieved his Undergraduate and Master's degree at Nanjing Normal University and graduated from Nanjing University of Aeronautics and Astronautics in June 2019 with a PhD in Engineering. He was a visiting scholar at the AKS Institute at the University of Duisburg Essen in Germany from February to August 2018. From 2019 to 2023, he served as a postdoctoral researcher at the University of Alberta in Canada. In February 2023, he was appointed as an associate professor in the Department of Automation at Shanghai Jiao Tong University. Dedicated to data-driven fault diagnosis research and its applications in fields such as intelligent transportation, electrical systems, and chemical processes.