Tran Duy Trac, PhD
College of Engineering and Computer Science
Affiliate Faculty
Visiting Professor - Electrical Engineering
Biography
Professor Trac D. Tran S’94-M’98-SM’08-F’14 received the B.S. and M.S. degrees from the Massachusetts Institute of Technology, Cambridge, in 1993 and 1994, respectively, and the Ph.D. degree from the University of Wisconsin, Madison, in 1998, all in Electrical Engineering.
In July of 1998, Dr. Tran joined the Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, where he currently holds the rank of Professor. His research interests are in the field of digital signal processing, particularly in sparse representation, sparse recovery, sampling, multi-rate systems, filter banks, transforms, wavelets, and their applications in image/video analysis, compression, processing, and communications. His pioneering research on integer-coefficient transforms and pre-/post-filtering operators has been adopted as critical components of Microsoft Windows Media Video 9 and JPEG XR – the latest international still-image compression standard ISO/IEC 29199-2. His research has also been adopted by Daala, a video coding format under development by the Xiph.Org Foundation mainly sponsored by the Mozilla Corporation.
Dr. Tran was the co-director of the 33rd and 49th Annual Conference on Information Sciences and Systems (CISS’99 and CISS’15), Baltimore, MD. He served as the Technical Program Co-Chair of the 4th IEEE Global Conference on Signal and Information Processing (GloalSIP), Washington DC, Dec. 2016. In the summer of 2002, he was an ASEE/ONR Summer Faculty Research Fellow at the Naval Air Warfare Center – Weapons Division (NAWCWD) at China Lake, California. He is currently a regular consultant for the U.S. Army Research Laboratory in Adelphi, Maryland. Dr. Tran has served multiple terms as
Associate Editor of the IEEE Transactions on Signal Processing, IEEE Transactions on Image Processing, and IEEE Transactions on Circuits and Systems for Video Technology. He was a former member of the IEEE Technical Committee on Signal Processing Theory and Methods (SPTM TC) and the IEEE Image Video and Multidimensional Signal Processing (IVMSP) Technical Committee. Dr. Tran is currently a Senior Associate Editor of the IEEE Transactions on Image Processing and an Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI).
Dr. Tran received the NSF CAREER award in 2001, the William H. Huggins Excellence in Teaching Award from The Johns Hopkins University in 2007, and the Capers and Marion McDonald Award for Excellence in Mentoring and Advising in 2009. Dr. Tran was also the co-recipient of the IEEE Mikio Takagi Best Paper Award in 2012, the Second Prize by Information and Inference: A Journal of the IMA in 2017, and the IEEE GRSS Highest Impact Paper Award in 2018. He is an IEEE Fellow for contributions in multi-rate and sparse signal processing.
· Digital signal processing
· Sparse representation and sparse recovery
· Sampling, multi-rate systems, filter banks, transforms, wavelets
· Applications in image/video analysis, compression, processing, and communications
· Statistical Signal and Image Processing
· Random Signal Analysis
· Wavelets and Filter Banks
· Compressed Sensing and Sparse Recovery
· Statistical Signal Processing
· Information Theory
· Multimedia Signal Processing
· Image and Video Compression
· Introduction to Electrical and Computer Engineering
· D. Jayasundara, S. Rajagopalan, Y. Ranasinghe, T. D. Tran, and V. M. Patel, “SINR: Sparsity Driven Compressed Implicit Neural Representations,” Proc. of the IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), pp. 3061-3070, 2025.
· S. Huang, D. Qiu, and T. D Tran, “Approximate message passing with parameter estimation for heavily quantized measurements,” IEEE Trans. on Signal Processing, vol. 70, no. 4, pp. 2062-2077, 2022.
· Y. Jiao, T. D. Tran, and G. Shi. “Effiscene: Efficient per-pixel rigidity inference for unsupervised joint learning of optical flow, depth, camera pose and motion segmentation.” Proc. of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5538-5547, 2021.
· A. Nair, K. N. Washington, T. D. Tran, A. Reiter, and M. A. L. Bell, “Deep learning to obtain simultaneous image and segmentation outputs from a single input of raw ultrasound channel data,” IEEE Trans. on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 67, no. 12, pp. 2493-2509, 2020.
· J. Shin, D. N. Tran, J. R. Stroud, S. P. Chin, T. D. Tran, and M. A. Foster, “A minimally invasive lens-free computational micro-endoscope,” Science Advances, vol. 5, no. 12, pp. 1-6, 2019.
· X. Sun, N. M. Nasrabadi, and T. D. Tran, “Supervised deep sparse coding networks for image classification,” IEEE Trans. on Image Processing, vol. 29, no. 7, pp. 405-418, 2019.
· S. Huang and T. D. Tran, “Sparse signal recovery via generalized entropy functions minimization,” IEEE Trans. on Signal Processing, vol. 67, pp. 1322-1337, May 2018.
· N. H. Nguyen, P. Drineas, and T. D. Tran, “Tensor sparsification via a bound on the spectral norm of random tensors,” Information and Inference: A Journal of the IMA, vol. 4, no. 3, pp. 195-229, Apr. 2015.
· N. H. Nguyen and T. D. Tran, “Robust Lasso with missing and grossly corrupted observations,” IEEE Trans. on Information Theory, vol. 59, pp. 2036-2058, Apr. 2013.
· N. H. Nguyen and T. D. Tran, “Exact recoverability from dense corrupted observations vial L1 minimization,” IEEE Trans. on Information Theory, vol. 59, pp. 2017-2035, Apr. 2013.
· Y. Chen, N. M. Nasrabadi, and T. D. Tran, ”Hyperspectral image classification via kernel sparse representation.” IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 1, pp. 217-231, 2012.
· T. T. Do, L. Gan, N. H. Nguyen, and T. D. Tran, “Fast and efficient compressive sampling using structurally random matrices,” IEEE Trans. on Signal Processing, vol. 60, pp. 139-154, Jan. 2012.
· Y. Chen, N. M. Nasrabadi, and T. D. Tran, “Hyperspectral image classification using dictionary based sparse representation,” IEEE Trans. on Geoscience and Remote Sensing, vol. 49, pp. 3973-3985, Oct. 2011.
· N. H. Nguyen, T. T. Do, and T. D. Tran, “A fast and efficient algorithm for low-rank approximation of a matrix,” Proc. 41st ACM Symposium on Theory of Computing (STOC 2009), pp. 215-224, Bethesda, Jun. 2009.
· T. D. Tran, J. Liang, and C. Tu, “Lapped transform via time-domain pre- and post-filtering,” IEEE Trans. on Signal Processing, vol. 51, pp. 1557-1571, Jun. 2003.
· Tu and T. D. Tran, “Context based entropy coding of block transform coefficients for image compression,” IEEE Trans. on Image Processing, vol. 11, pp. 1271-1283, Nov. 2002.
· J. Liang and T. D. Tran, “Fast multiplierless approximations of the DCT with the lifting scheme,” IEEE Trans. on Signal Processing, vol. 49, pp. 3032-3044, Dec. 2001.
