Xin Li received his bachelor's degree with the highest honors in electronic engineering and information science from University of Science and Technology of China, Hefei, in 1996, and his doctoral degree in electrical engineering from Princeton University in 2000. He was a member of the technical staff with Sharp Laboratories of America, Camas, Washington, from August 2000-December 2002. He has been a faculty member in Lane Department of Computer Science and Electrical Engineering (LDCSEE) since January 2003. Dr. Li is currently a Full Professor with LDCSEE. His research interests include image/video processing, computer vision, cyber-security, computational neuroscience, the applications of AI/ML into smart health and smart agriculture.
Dr. Li received a Best Student Paper Award at the Conference of Visual Communications and Image Processing (VCIP) as a junior author in 2001, a runner-up prize for Best Student Paper award at IEEE Asilomar Conference on Signals, Systems and Computers as the senior author in 2006; and a Best Paper Award at the Conference of Visual Communications and Image Processing as the single author in 2010. Dr. Li won Outstanding Researcher Award from College of Engineering and Mineral Resources in 2012 and 2018 respectively. Most recently, Dr. Li was the co-author of Best Applied Paper Runner-up Award at CIKM'2021. According to the study by Stanford, Dr. Li was among the Top 2% Leading Global Scientist in the area of AI (subfield: Image Processing).
Dr. Li is currently serving as a Senior Area Editor for IEEE Transactions on Image Processing (TIP), an Associate Editor for Scientific Reports and an Associate Editor for Frontiers in Psychology. He was an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) from 2014 to 2017 and a Senior Area Editor for IEEE Signal Processing Letters from 2018 to 2020. He also served as a Member of IEEE SPS Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP-TC) from 2011 to 2016 and will server as a Member of IEEE SPS Computational Imaging Technical Committee (CI-TC) from 2023 to 2025.
To Prospective PhD Students and postdocs: I have several GRA and 1-2 postdoc openings in broad area of AI/ML and computer vision/image processing for 2022-2023. If you are interested in joining my group, please send your latest CV to my email address below.