Binghamton University Computer Science Department

Zhongfei (Mark) Zhang
N 16, Engineering Building
Associate Professor
Department of Computer Science
Watson School of Engineering and Applied Sciences
Binghamton University
Binghamton, NY 13902-6000
Phone: (607) 777-2935
Fax: (607) 777-4729
zhongfei@cs.binghamton.edu
http://www.cs.binghamton.edu/~zhongfei

Zhongfei (Mark) Zhang is an Associate Professor of Computer Science at State University of New York (SUNY) at Binghamton. He directs the Multimedia Research Laboratory at Binghamton. He has a B.S. (cum laude) in Electronics Engineering, an M.S. in Information Science, both from Zhejiang University, Hangzhou, China, and a Ph.D. in Computer Science from the University of Massachusetts at Amherst. When he was in the graduate school, he also worked as an Intern student at NEC Research Institute, Inc. at Princeton, NJ, and as a technical consultant at Applied Artificial Intelligence, Inc. (formerly Amerinex Artificial Intelligence, Inc.) at Amherst, MA. He was a research scientist of the Center of Excellence for Document Analysis and Recognition and was in the faculty of the Dept. of Computer Science and Engineering, both at SUNY Buffalo. He joined the faculty of Computer Science Dept. at SUNY Binghamton in the Fall of 1999. He has published over 100 peer-reviewed academic papers in international and national journals and conferences and several invited papers and book chapters, has edited or co-edited two books, has served as reviewers or program committee members for many international journals and conferences, and has served as grant review panelists for several governmental and private funding agencies including NSF and NASA. His research is supported by federal and state governments, noticeably including NSF, AFOSR, and AFRL. He is a Senior Member of IEEE, a member of IEEE Computer Society and a member of ACM. He is an Associate Editor for Pattern Recognition, and Guest Editors for IEEE Transactions on Multimedia and ACM Multimedia Systems Journal.

Research Interests

Multimedia Information Indexing and Retrieval, Data Mining and Knowledge Discovery, Computer Vision and Image Understanding, Pattern Recognition, Medical Imaging, and Bioinformatics.

Courses taught

Selected Publications

The last time this page was updated was on 23 September 2007.