Professor Lixin Tang is an IEEE Fellow, a member of the Chinese Academy of Engineering, a Vice President of Northeastern University, China (in charge of scientific research and international affairs), the Principal of National First-level Key Discipline of Control Science and Engineering (automation) at Northeastern University, and the Leader of the National “Double First Class” Discipline of Control Science and Engineering. He is the Dean of the Institute of Artificial Intelligence and Big Data at Northeastern University, the Director of the Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, China, and the Director and Chair Professor of the National Frontiers Science Center for Industrial Intelligence and Systems Optimization at Northeastern University.
He is also a Deputy to the 14th National People's Congress, a member of the 8th State Council Discipline Review Group for control science and engineering, the Vice Director of Artificial Intelligence Specialized Committee in Science and Technology Commission, Ministry of Education, China, a member of the National Industrial Internet Strategy Advisory Expert Committee, the Vice President of the Chinese Society for Metals, the Vice President of Operations Research Society of China (ORSC), and the Founding Director of Data Analytics and Optimization Society for Smart Industry of ORSC, a member of the Advisory Committee of Automation Department at Tsinghua University, and a member of the Technical Committee of National Engineering Laboratory of Big Data Analysis and Application Technology at Peking University.
His research interests are industrial intelligence and systems optimization theories and methods, covering industrial big data, data analytics and machine learning, deep learning and evolutionary learning, reinforcement learning and dynamic optimization, convex and sparse optimization, integer and combinatorial optimization, and computational intelligence-based optimization. For technologies, he mainly investigates on systems optimization technology for plant-wide production and inventory planning, production and logistics batching and scheduling, process optimization and optimal control; quality analytics technology such as process monitoring, equipment diagnosis, and product quality perception; industrial intelligence technology such as image and speech understanding and visualization. Meanwhile, he applies the above theories and technologies to engineering applications in the steel manufacturing industry, equipment/chip manufacturing industry, logistics industry, energy industry and information industry.
He has published more than 137 papers in international journals such as Operations Research, Manufacturing & Service Operations Management, INFORMS Journal on Computing, IISE Transactions, Naval Research Logistics, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Control Systems Technology, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Power Systems. His paper published in IISE Transactions received the Best Applications Paper Award of 2017.
He currently serves as an Associate Editor of IISE Transactions, IEEE Transactions on Cybernetics, Journal of Scheduling, and International Journal of Production Research. Meanwhile, he is on the Editorial Board of Annals of Operations Research, and serves as an Area Editor of Asia-Pacific Journal of Operational Research.
