• 師資陣容

    • 行政技術人員

陳祖翰 Tsu-Han Chen 講座教授(榮譽)
  • Ph.D., Electrical Engineering, California Institute of Technology
  • 03-5712121 #   

經歷

2009- David E. Burr Professor of Engineering, Cornell University
2009-2013 Director, School of ECE, Cornell University
2007-2008 Associate Department Head, Dept. of ECE, Carnegie Mellon University
2006-2008 Director, International Collaboration on Advanced Security Technology (iCAST), CMU
2003-2008 Director, Industrial Technology Research Institute (ITRI) Lab, Carnegie Mellon University
2002-2008 Professor, Dept. of ECE, Carnegie Mellon University
1997-2001 Associate Professor, Dept. of ECE, Carnegie Mellon University
1993-1997 AT&T Labs/Bell Laboratories, Holmdel/Red Bank, New Jersey Principal Technical Staff Member (1997), Senior Technical Staff Member (1996), Member of Technical Staff (1993-1995)
Jan-Jul 1993 Member of Technical Staff (part-time), Jet Propulsion Lab
1991-1993 Instructor, California Institute of Technology
1990-1993 Research Assistant and Teaching Assistant, California Institute of Technology

研究興趣

Signals and Systems, typically a large undergraduate course serving students with diverse backgrounds and interests

實驗室

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  • 0   
  • 03-5712121 #   

研究計畫

   

代表著作

1. Z. Jia, A. Gallagher, A. Saxena, and T. Chen, “3D reasoning from blocks to stability,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014
2. A. Kowdle, Y.-J. Chang, A. Gallagher, D. Batra, and T. Chen, “Putting the user in the loop for image-based modeling,” International Journal of Computer Vision, March 2014
3. R. Fang, K. Karlsson, T. Chen, and P. Sanelli, “Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model,” Medical Image Analysis, October 2013
4. T. Yamasaki, T. Chen, T. Hirai, and R. Murakami, “Classification of cerebral lymphomas and glioblastomas featuring luminance distribution analysis,” Computational and Mathematical Methods in Medicine, May 2013
5. R. Fang, T. Chen, and P. Sanelli, “Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning,” Medical Image Analysis, March 2013
6. M. Lu, P. Steenkiste, and T. Chen, “Opportunistic retransmission in WLANs,” IEEE Transactions on Mobile Computing, December 2012
7. C. Li, A. Kowdle, A. Saxena and T. Chen, “Towards holistic scene understanding: feedback enabled cascaded classification models,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), July 2012
8. R. Fang, A. Raj, T. Chen and P. Sanelli, “Radiation dose reduction in computed tomography perfusion using spatial-temporal Bayesian methods,” Proceedings of SPIE Medical Imaging, Vol. 8313, February 2012
9. D. Batra, A. Kowdle, D. Parikh, J. Luo, and T. Chen, “Interactively co-segmentating topically related images with intelligent scribble guidance," International Journal of Computer Vision (IJCV), January 2011
10. M. Lu, P. Steenkiste, and T. Chen, “Robust wireless video streaming using hybrid spatial/temporal retransmission,” IEEE Journal on Selected Areas in Communications, Special Issue on Wireless Video Transmissions, volume 28, number 3, April 2010