Yongxin Chen
I am currently looking for motivated graduate students interested in Systems and control, Machine learning, Robotics, and Optimization. In particular, I am looking for one student who will be working on the intersection between machine learning and control theories this year. Solid background in math and/or coding is required. Applicants major in mathematics, statistics or automation are of high priority. If you are interested in working with me, please feel free to contact me. Visiting scholars are also welcome to contact me, but please be aware that the paperwork normally takes two months. BiosketchYongxin Chen was born in Ganzhou, Jiangxi, China. He received his BSc in Mechanical Engineering from Shanghai Jiao Tong university, China, in 2011, and a Ph.D. degree in Mechanical Engineering, under the supervision of Tryphon Georgiou, from University of Minnesota in 2016. He is currently an Assistant Professor in the School of Aerospace Engineering at Georgia Institute of Technology. Before joining Georgia Tech, he had a one-year Research Fellowship in the Department of Medical Physics at Memorial Sloan Kettering Cancer Center with Allen Tannenbaum from 2016 to 2017 and was an Assistant Professor in the Department of Electrical and Computer Engineering at Iowa State University from 2017 to 2018. He received the George S. Axelby Best Paper Award (IEEE Transaction on Automatic Control) in 2017 for his joint work ‘‘Optimal steering of a linear stochastic system to a final probability distribution, Part I’’ with Tryphon Georgiou and Michele Pavon. He received the NSF CAREER Award in 2020, the Simons-Berkeley research fellowship in 2021, the A.V. ‘Bal’ Balakrishnan Award in 2021, and the Donald P. Eckman Award in 2022. News
|