Arun Ross is the John and Eva Cillag Endowed Chair in the College of Engineering and a Professor in the Department of Computer Science and Engineering at Michigan State University. He also serves as the Site Director of the NSF Center for Identification Technology Research (CITeR). He received the B.E. (Hons.) degree in Computer Science from BITS Pilani, India, and the M.S. and PhD degrees in Computer Science and Engineering from Michigan State University.
He was in the faculty of West Virginia University between 2003 and 2012 where he received the Benedum Distinguished Scholar Award for excellence in creative research and the WVU Foundation Outstanding Teaching Award.
His expertise is in the area of biometrics, computer vision and machine learning. He has advocated for the responsible use of biometrics in multiple forums including the NATO Advanced Research Workshop on Identity and Security in Switzerland in 2018. He testified as an expert panelist in an event organized by the United Nations Counter-Terrorism Committee at the UN Headquarters in 2013.
Ross serves as Associate Editor-in-Chief of the Pattern Recognition Journal, Area Editor of the Computer Vision and Image Understanding Journal and Associate Editor of IEEE Transactions on Biometrics, Behavior, and Identity Science. He has served as Associate Editor of IEEE Transactions on Information Forensics and Security, IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, ACM Computing Surveys and Image & Vision Computing Journal. He has also served as Senior Area Editor of IEEE Transactions on Image Processing.
Ross is a recipient of the NSF CAREER Award. He was designated a Kavli Fellow by the US National Academy of Sciences by virtue of his presentation at the 2006 Kavli Frontiers of Science Symposia. In recognition of his contributions to the field of pattern recognition and biometrics, he received the JK Aggarwal Prize in 2014 and the Young Biometrics Investigator Award in 2013 from the International Association of Pattern Recognition (IAPR).