Tsuhan Chen has been with the School of Electrical and Computer Engineering, Cornell University, Ithaca, New York, since January 2009, where he is the David E. Burr Professor of Engineering, and served as the Director of the School of Electrical and Computer Engineering from 2009 and 2013. From October 1997 to December 2008, he was a professor with the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, where he served as the Associate Department Head from 2007 to 2008. From August 1993 to October 1997, he was with AT&T Bell Laboratories, Holmdel, New Jersey. He received the M.S. and Ph.D. degrees in electrical engineering from the California Institute of Technology, Pasadena, California, in 1990 and 1993, respectively. He received the B.S. degree in electrical engineering from the National Taiwan University in 1987.
Tsuhan served as the Editor-in-Chief for IEEE Transactions on Multimedia in 2002-2004. He also served on the Editorial Board of IEEE Signal Processing Magazine, and as Associate Editor for IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Image Processing, IEEE Trans. on Signal Processing, and IEEE Trans. on Multimedia. He co-edited a book titled Multimedia Systems, Standards, and Networks.
Tsuhan received the Charles Wilts Prize at the California Institute of Technology in 1993. He was a recipient of the National Science Foundation CAREER Award, from 2000 to 2003. He received the Benjamin Richard Teare Teaching Award in 2006, and the Eta Kappa Nu Award for Outstanding Faculty Teaching in 2007. He was elected to the Board of Governors, IEEE Signal Processing Society, 2007-2009, and a Distinguished Lecturer, IEEE Signal Processing Society, 2007-2008. He was elected as the Vice President of ECE Department Head Association in 2012, and currently serves as the President. He is a member of the Phi Tau Phi Scholastic Honor Society, and Fellow of IEEE.
How can millions of photos be easily organized? Can we analyze and predict how viral a video might become? How closely do people stand together in photographs? Can a computer describe an image in the same way a human would? Is a patient's treatment working to shrink the tumor? Our lab, the Advanced Multimedia Processing (AMP) Lab, is interested in all questions that can be answered in part by analyzing images and videos. Our research focuses on visual computing, particularly the aspects of processing, representation, and understanding images and video. Because AMP is comprised of students with diverse academic and industrial backgrounds, the group encompasses a wide range of topics, both algorithms and applications from medical imaging analysis to recognizing people and objects, and the geometry of a scene from images. Current applications include object recognition when searching many photos for a particular image, image analysis to answer questions about picture content (e.g., how many cars are present?) or in volumetric medical imaging, identifying bloodflow or changes across several images.
Signals and Systems, typically a large undergraduate course serving students with diverse backgrounds and interests
Director, School of Electrical and Computer Engineering
- 2013. "Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning." Medical Image Analysis 17 (4): 417-428. .
- 2013. "3D-Based reasoning with blocks, support, and stability." Paper presented at Computer Vision and Pattern Recognition (CVPR) .
- 2013. "Revisiting depth layers from occlusions." Paper presented at Computer Vision and Pattern Recognition (CVPR) .
- 2013. "It's not polite to point: Describing people with uncertain attributes." Paper presented at Computer Vision and Pattern Recognition (CVPR) .
- 2012. "Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models." IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (7): 1394-1408. .
Selected Awards and Honors
- Best Paper Award, T. Yamasaki, A. Gallagher, and T. Chen, "Personalized intra- and inter-city travel recommendation using large-scale geotags," ACM Multimedia on Geotaging and Its Applications in Multimedia 2013
- President, Electrical and Computer Engineering Department Heads Association (ECEDHA) 2013
- Best Student Paper Award, Adarsh Kowdle, Noah Snavely and Tsuhan Chen, "Recovering Depth of a Dynamic Scene Captured Using Real World Motion Prior" (IEEE International Conference on Image Processing (ICIP)) 2012
- Best Special Session Paper Award, Toshihiko Yamasaki and Tsuhan Chen, "Face Recognition Challenge: Object Recognition Approaches for Human/Avatar Classification" (International Conference on Machine Learning and Applications) 2012
- Chair professorship, David E. Burr Professor of Engineering (Cornell University) 2009
- BS (Electrical Engineering), National Taiwan University, 1987
- MS (Electrical Engineering), California Institute of Technology, 1990
- Ph D (Electrical Engineering), California Institute of Technology, 1993