World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
12777
World Ranking
4533
National Ranking
2125

Research.com Recognitions

  • 2014 - IEEE Fellow For contributions to multirate and sparse signal processing

Overview

Trac D. Tran is a researcher affiliated with Johns Hopkins University in the United States, specializing principally in Computer Science and Engineering. Their scholarly output includes 28 publications in each of these main fields, reflecting a consistent research focus over time.

The scientist's subfields of study are diverse and encompass Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing, Electrical and Electronic Engineering, and Artificial Intelligence. These areas indicate a strong emphasis on both theoretical and applied aspects of image processing and signal analysis.

The primary research topics associated with their work include Sparse and Compressive Sensing Techniques, which constitute the largest portion of their work. Other significant topics include Advanced Image Processing Techniques, Distributed Sensor Networks and Detection Algorithms, Indoor and Outdoor Localization Technologies, Speech and Audio Processing, Advanced Vision and Imaging, and Image Processing Techniques and Applications.

Among Trac D. Tran's notable papers are:

  • "Deep Learning to Obtain Simultaneous Image and Segmentation Outputs From a Single Input of Raw Ultrasound Channel Data" (2020), published in IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
  • "Real-Time and Deep Learning Based Vehicle Detection and Classification Using Pixel-Wise Code Exposure Measurements" (2020), published in Electronics
  • "Detection and Confirmation of Multiple Human Targets Using Pixel-Wise Code Aperture Measurements" (2020), published in Journal of Imaging
  • "Compressed sensing in photonics: tutorial" (2022), published in Journal of the Optical Society of America B
  • "Joint Down-Range and Cross-Range RFI Suppression in Ultra-Wideband SAR" (2020), published in IEEE Transactions on Geoscience and Remote Sensing

They frequently collaborate with a set of coauthors, including Shuai Huang, Yang Jiao, Guangming Shi, Chiman Kwan, and David Gribben, with multiple joint publications recorded with each.

Trac D. Tran has contributed extensively to publication venues such as arXiv (Cornell University) with 10 papers, the 2021 55th Asilomar Conference on Signals, Systems, and Computers with 2 papers, as well as individual papers in IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Electronics, and Journal of Imaging.

The scientist was named an IEEE Fellow in 2014, with the citation noting contributions to multirate and sparse signal processing.

Best Publications

  • Hyperspectral Image Classification Using Dictionary-Based Sparse Representation

    Yi Chen;Nasser M. Nasrabadi;Trac D. Tran

  • Sparsity adaptive matching pursuit algorithm for practical compressed sensing

    T.T. Do;Lu Gan;Nam Nguyen;T.D. Tran

  • Hyperspectral Image Classification via Kernel Sparse Representation

    Yi Chen;N. M. Nasrabadi;T. D. Tran

  • Sparse Representation for Target Detection in Hyperspectral Imagery

    Yi Chen;N M Nasrabadi;T D Tran

  • Distributed Compressed Video Sensing

    Thong T. Do;Yi Chen;Dzung T. Nguyen;Nam Nguyen

  • Fast multiplierless approximations of the DCT with the lifting scheme

    Jie Liang;T.D. Tran

  • Fast and Efficient Compressive Sensing Using Structurally Random Matrices

    Thong T. Do;Lu Gan;Nam H. Nguyen;Trac D. Tran

  • Fast compressive imaging using scrambled block Hadamard ensemble

    Lu Gan;Thong T. Do;Trac D. Tran

  • The binDCT: fast multiplierless approximation of the DCT

    T.D. Tran

  • Lapped transform via time-domain pre- and post-filtering

    T.D. Tran;Jie Liang;Chengjie Tu

  • Fast compressive sampling with structurally random matrices

    T.T. Do;T.D. Tran;Lu Gan

  • Linear-phase perfect reconstruction filter bank: lattice structure, design, and application in image coding

    T.D. Tran;R.L. de Queiroz;T.Q. Nguyen

  • Simultaneous Joint Sparsity Model for Target Detection in Hyperspectral Imagery

    Yi Chen;N. M. Nasrabadi;T. D. Tran

  • Context-based entropy coding of block transform coefficients for image compression

    C. Tu;T.D. Tran

  • A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface

    Xilin Liu;Milin Zhang;Tao Xiong;Andrew G. Richardson

  • Robust Lasso With Missing and Grossly Corrupted Observations

    Nam H. Nguyen;Trac D. Tran

  • Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification

    Xiaoxia Sun;Qing Qu;Nasser M. Nasrabadi;Trac D. Tran

  • Adversarial deep structured nets for mass segmentation from mammograms

    Wentao Zhu;Xiang Xiang;Trac D. Tran;Gregory D. Hager

  • On M-channel linear phase FIR filter banks and application in image compression

    Trac Duy Tran;T.Q. Nguyen

  • Exact Recoverability From Dense Corrupted Observations via $ll _{1}$ -Minimization

    N. H. Nguyen;T. D. Tran

  • Robust Lasso with missing and grossly corrupted observations

    Nasser M. Nasrabadi;Trac D. Tran;Nam Nguyen

Frequent Co-Authors

Nasser M. Nasrabadi
Nasser M. Nasrabadi West Virginia University
Ralph Etienne-Cummings
Ralph Etienne-Cummings Johns Hopkins University
Truong Q. Nguyen
Truong Q. Nguyen University of California, San Diego
Chiman Kwan
Chiman Kwan Signal Processing (United States)
Vishal Monga
Vishal Monga Pennsylvania State University
Mark A. Foster
Mark A. Foster Johns Hopkins University
Gregory D. Hager
Gregory D. Hager Johns Hopkins University
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Jian Cheng
Jian Cheng Chinese Academy of Sciences
Xiaohui Xie
Xiaohui Xie University of California, Irvine

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