World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7963
World Ranking
8339
National Ranking
3579

Electronics and Electrical Engineering

D-Index
38
Citations
7304
World Ranking
4844
National Ranking
1697

Research.com Recognitions

  • 2012 - ACM Senior Member
  • 2011 - IEEE Fellow For contributions to design optimization for signal processing

Overview

Shuvra S. Bhattacharyya is affiliated with the University of Maryland, College Park in the United States. Their research centers primarily on computer science and engineering, with significant expertise demonstrated across several subfields including computer vision and pattern recognition, hardware and architecture, artificial intelligence, electrical and electronic engineering, and computer networks and communications.

The scientist's published work spans multiple topics with a concentration in embedded systems design techniques, parallel computing and optimization techniques, advanced neural network applications, neural networks and applications, remote-sensing image classification, interconnection networks and systems, and video surveillance and tracking methods.

Frequent coauthors collaborating with Bhattacharyya include Zhu Li, Rong Chen, Yi-Ting Shen, Yaesop Lee, and Heesung Kwon.

Their publication record features important contributions published in a variety of venues. Notably, Bhattacharyya has published extensively in:

  • arXiv (Cornell University)
  • Neurocomputing
  • Frontiers in Computational Neuroscience
  • 2021 International Conference on Visual Communications and Image Processing (VCIP)
  • IEEE Transactions on Signal Processing

Representative recent papers include:

  • "Hyperspectral Image Classification With Attention-Aided CNNs," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "PoseMapGait: A model-based gait recognition method with pose estimation maps and graph convolutional networks," 2022, Neurocomputing
  • "A novel view synthesis approach based on view space covering for gait recognition," 2021, Neurocomputing
  • "Hyperspectral Image Classification with Attention Aided CNNs," 2020, arXiv (Cornell University)
  • "EADTC: An Approach to Interpretable and Accurate Crime Prediction," 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Bhattacharyya has been recognized with professional distinctions, including election as a Senior Member of the ACM in 2012 and designation as an IEEE Fellow in 2011 for contributions to design optimization in signal processing.

Best Publications

  • Embedded Multiprocessors: Scheduling and Synchronization

    Sundararajan Sriram;Shuvra S. Bhattacharyya

  • Parameterized dataflow modeling for DSP systems

    B. Bhattacharya;S.S. Bhattacharyya

  • Hyperspectral Image Classification With Attention-Aided CNNs

    Renlong Hang;Zhu Li;Qingshan Liu;Pedram Ghamisi

  • Synthesis of Embedded Software from Synchronous Dataflow Specifications

    Shuvra S. Bhattacharyya;Praveen K. Murthy;Edward A. Lee

  • Handbook of Signal Processing Systems

    Shuvra S. Bhattacharyya;Ed F. Deprettere;Rainer Leupers;Jarmo Takala

  • Heterogeneous Concurrent Modeling and Design in Java (Volume 1: Introduction to Ptolemy II)

    Christopher Brooks;Edward A. Lee;Xiaojun Liu;Stephen Neuendorffer

  • Functional DIF for Rapid Prototyping

    W. Plishker;N. Sane;M. Kiemb;K. Anand

  • Overview of the MPEG Reconfigurable Video Coding Framework

    Shuvra S. Bhattacharyya;Johan Eker;Jörn W. Janneck;Christophe Lucarz

  • OpenDF: a dataflow toolset for reconfigurable hardware and multicore systems

    Shuvra S. Bhattacharyya;Gordon Brebner;Jörn W. Janneck;Johan Eker

  • Software synthesis and code generation for signal processing systems

    S.S. Bhartacharyya;R. Leupers;P. Marwedel

  • Gabriel: a design environment for DSP

    E.A. Lee;W.-H. Ho;E.E. Goei;J.C. Bier

  • Software synthesis from the dataflow interchange format

    Chia-Jui Hsu;Ming-Yung Ko;Shuvra S. Bhattacharyya

  • An energy reduction technique for multimedia application with tolerance to deadline misses

    Shaoxiong Hua;Gang Qu;Shuvra S. Bhattacharyya

  • PiMM: Parameterized and Interfaced dataflow Meta-Model for MPSoCs runtime reconfiguration

    Karol Desnos;Maxime Pelcat;Jean-Francois Nezan;Shuvra S. Bhattacharyya

  • Systematic integration of parameterized local search into evolutionary algorithms

    N.K. Bambha;S.S. Bhattacharyya;J. Teich;E. Zitzler

  • A hierarchical multiprocessor scheduling system for DSP applications

    J.L. Pino;S.S. Bhattacharyya;E.A. Lee

  • APGAN and RPMC: Complementary Heuristics for Translating DSP Block Diagrams into Efficient Software Implementations

    Shuvra S. Bhattacharyya;Praveen K. Murthy;Edward A. Lee

  • Exploiting Statically Schedulable Regions in Dataflow Programs

    Ruirui Gu;Jörn W. Janneck;Mickaël Raulet;Shuvra S. Bhattacharyya

  • Joint Minimization of Code and Data for Synchronous DataflowPrograms

    Praveen K. Murthy;Shuvra S. Bhattacharyya;Edward A. Lee

  • Shared buffer implementations of signal processing systems using lifetime analysis techniques

    P.K. Murthy;S.S. Bhattacharyya

  • Heterogeneous Concurrent Modeling and Design in Java (Volume 3: Ptolemy II Domains)

    Shuvra S Bhattacharyya;Christopher Brooks;Elaine Cheong;John Davis

Frequent Co-Authors

Edward A. Lee
Edward A. Lee University of California, Berkeley
Jürgen Teich
Jürgen Teich University of Erlangen-Nuremberg
Wayne Wolf
Wayne Wolf University of Nebraska–Lincoln
Mikko Valkama
Mikko Valkama Tampere University
Eckart Zitzler
Eckart Zitzler Lucerne University of Applied Sciences and Arts
Neil Goldsman
Neil Goldsman University of Maryland, College Park
Lauri Anttila
Lauri Anttila Tampere University
Gang Qu
Gang Qu University of Maryland, College Park
Joseph R. Cavallaro
Joseph R. Cavallaro Rice University
Ed F. Deprettere
Ed F. Deprettere Leiden University

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