Dr. Junzhou Huang is a Professor in the Computer Science and Engineering department at the University of Texas at Arlington. He has been the director of the machine learning center at Tencent AI Lab. He received the B.E. degree from Huazhong University of Science and Technology, Wuhan, China, the M.S. degree from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, and the Ph.D. degree in Computer Science at Rutgers, The State University of New Jersey. His major research interests include machine learning, computer vision, biomedical and biomedicine informatics. He was selected as one of the 10 emerging leaders in multimedia and signal processing by the IBM T.J. Watson Research Center in 2010. His work won the MICCAI Young Scientist Award 2010, the FIMH Best Paper Award 2011, the MICCAI Young Scientist Award Finalist 2011, the STMI Best Paper Award 2012, the NIPS Best Reviewer Award 2013, the MICCAI Best Student Paper Award Finalist 2014 and the MICCAI Best Student Paper Award 2015. He received the NSF CAREER Award in 2016. His recent work on protein folding won the 6th place in the 3D Structure Prediction Challenge and the 1st place in the Contact and Distance Prediction Challenge at CASP14, December 2020. He enjoys to develop efficient algorithms with nice theoretical guarantees to solve practical problems involved large scale data.
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I am looking for Postdoc, Ph.D. students, motivated for doing research in the areas of machine learning, data mining and imaging informatics. If you are interested, please contact me. If you are UTA master students and are looking for master thesis topics, or UTA undergraduates and are looking for internships, please feel free to contact me.
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