Li Guomin
Professor
Computer Science
Huazhong University of Science and Technology
China
Biography
Professor Li received Ph.D degree from the Massachusetts Institute of Technology. He is the winner of Presidential Early Career Award for Scientists and Engineers (PECASE), IEEE Fellow, ASME Fellow, editor-in-chief of IEEE/ASME Transactions on Mechatronics（TMech）(2008-2013) , tenure professor of Georgia Institute of Technology, expert of “Thousand Talents Plan”, professor of HUST, and chief scientist for 973 program.His main research areas include intelligent manufacturing equipment and technology, intelligent sensing and driving, and complex mechanical and electrical systems. He has presided over more than 10 projects closely related to intelligent manufacturing. He has made great achievement in the fields of ntelligent sensors, smart drives, machine vision, multivariable thermo-flow coupling process modeling and control, and his achievements have been widely used in the manufacturing industry to detect, locate and control, field reconstruction, distributed parameter modeling and Control and so on. He has published more than 250 papers and has participated in the publication of three English monographs,has been authorized 10 the United States and international patents. He founded TMech Best Paper Award in 2008 and became the co-founder of the IEEE / ASME AIM in the same year. Supported by ASME/DSCD-Mechatronics TC, he founded Best Paper and Best Student Paper Awards in Mechatronics.
Research Interest
Automation and mechatronics: system dynamics modeling and control, automation, machine vision, optoelectronics, magnetism, flexibility, and bionic electromechanical design and application
Publications
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3.J.-Y. Lim and K.-M. Lee, “Distributed Multi-Level Current Models for Design Analysis of Electromagnetic Actuators,†IEEE/ASME Trans. on Mechatronics, DOI: 10.1109 / TMECH. 2014. 2382532, Vol. 20, No. 5, pp. 2413-2424, 2015.
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2.J.-Y. Lim and K.-M. Lee, “Design of Electromagnetic Actuators using Layout Optimization with Distributed Current Source Models,†IEEE/ASME Trans. on Mechatronics, DOI: 10.1109/TMECH. 2015.2404031 (2015).
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1.J. Ji, X. Yang and K.-M. Lee, “Coupled Multi-view Vision and Physics-based Synthetic Perception for 4D Displacement Field Reconstruction,†IEEE/ASME Trans. on Mechatronics, DOI; 10.1109/TMECH. 2015.2468574 (2015).
