World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
86
Citations
27103
World Ranking
775
National Ranking
416

Electronics and Electrical Engineering

D-Index
83
Citations
24923
World Ranking
431
National Ranking
202

Research.com Recognitions

  • 2020 - Fellow, National Academy of Inventors
  • 2020 - ACM Fellow For contributions to architectures and design tools for signal processing and networking accelerators
  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2003 - IEEE Kiyo Tomiyasu Award "For pioneering contributions to highspeed and low-power digital signal processing architectures for broadband communications systems."

Overview

Keshab K. Parhi is affiliated with the University of Minnesota in the United States. The main field of study for this researcher is Computer Science, with a total of 97 publications focused in this area.

Their research spans several subfields, including:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Cognitive Neuroscience
  • Hardware and Architecture
  • Information Systems

Key research topics covered by their work include:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Coding theory and cryptography
  • Cryptography and Residue Arithmetic

Frequent co-authors in their research collaborations are:

  • Nanda K. Unnikrishnan
  • Sin-Wei Chiu
  • Sandeep Avvaru
  • Xingyi Liu
  • Weihang Tan

They have published extensively in venues such as:

  • arXiv (Cornell University)
  • IEEE Circuits and Systems Magazine
  • Journal of Signal Processing Systems
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Open Journal of Circuits and Systems

Recent publications include the following papers:

  • Homogeneous and Heterogeneous Feed-Forward XOR Physical Unclonable Functions, 2020, IEEE Transactions on Information Forensics and Security
  • Brain-Inspired Computing: Models and Architectures, 2020, IEEE Open Journal of Circuits and Systems
  • Predicting Biological Gender and Intelligence From fMRI via Dynamic Functional Connectivity, 2020, IEEE Transactions on Biomedical Engineering
  • Classification of Adolescent Major Depressive Disorder Via Static and Dynamic Connectivity, 2020, IEEE Journal of Biomedical and Health Informatics
  • Fast 2D Convolution Algorithms for Convolutional Neural Networks, 2020, IEEE Transactions on Circuits and Systems I Regular Papers

Throughout their career, they have received several recognitions, including:

  • ACM Fellow (2020) for contributions to architectures and design tools for signal processing and networking accelerators
  • Fellow, National Academy of Inventors (2020)
  • Fellow of the American Association for the Advancement of Science (AAAS) (2017)
  • IEEE Kiyo Tomiyasu Award (2003) for pioneering contributions to highspeed and low-power digital signal processing architectures for broadband communications systems

Best Publications

  • Vlsi Digital Signal Processing Systems: Design And Implementation

    Keshab K. Parhi

  • High-speed VLSI architectures for the AES algorithm

    Xinmiao Zhang;K.K. Parhi

  • VLSI architectures for discrete wavelet transforms

    K.K. Parhi;T. Nishitani

  • VLSI digital signal processing systems

    Keshab K. Parhi

  • Static rate-optimal scheduling of iterative data-flow programs via optimum unfolding

    K.K. Parhi;D.G. Messerschmitt

  • Seizure prediction with spectral power of EEG using cost-sensitive support vector machines

    Yun Park;Lan Luo;Keshab K. Parhi;Theoden Netoff

  • Pipeline interleaving and parallelism in recursive digital filters. I. Pipelining using scattered look-ahead and decomposition

    K.K. Parhi;D.G. Messerschmitt

  • DREAM: diabetic retinopathy analysis using machine learning.

    Sohini Roychowdhury;Dara D. Koozekanani;Keshab K. Parhi

  • Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Subimage Classification

    Sohini Roychowdhury;Dara D. Koozekanani;Keshab K. Parhi

  • Classification Using Hyperdimensional Computing: A Review

    Lulu Ge;Keshab K. Parhi

  • Low-Energy Digit-Serial/Parallel Finite Field Multipliers

    Leilei Song;Keshab K. Parhi

  • Iterative Vessel Segmentation of Fundus Images

    Sohini Roychowdhury;Dara D. Koozekanani;Keshab K. Parhi

  • Distributed scheduling of broadcasts in a radio network

    R. Ramaswami;K.K. Parhi

  • Design of low-error fixed-width modified booth multiplier

    Kyung-Ju Cho;Kwang-Chul Lee;Jin-Gyun Chung;K.K. Parhi

  • Algorithm transformation techniques for concurrent processors

    K.K. Parhi

  • RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge

    Hrvoje Bogunovic;Freerk Venhuizen;Sophie Klimscha;Stefanos Apostolopoulos

  • Synthesis of control circuits in folded pipelined DSP architectures

    K.K. Parhi;C.-Y. Wang;A.P. Brown

  • Efficient semisystolic architectures for finite-field arithmetic

    S.K. Jain;L. Song;K.K. Parhi

  • Early Stopping Criteria for Energy-Efficient Low-Latency Belief-Propagation Polar Code Decoders

    Bo Yuan;Keshab K. Parhi

  • A systematic approach for design of digit-serial signal processing architectures

    K.K. Parhi

  • Low-Complexity Seizure Prediction From iEEG/sEEG Using Spectral Power and Ratios of Spectral Power

    Zisheng Zhang;Keshab K. Parhi

  • Overlapped message passing for quasi-cyclic low-density parity check codes

    Yanni Chen;K.K. Parhi

  • Fully-Static Rate-Optimal Scheduling of Iterative Data-Flow Programs via Optimum Unfolding.

    Keshab K. Parhi;David G. Messerschmitt

Frequent Co-Authors

Bo Yuan
Bo Yuan Rutgers, The State University of New Jersey
Naresh R. Shanbhag
Naresh R. Shanbhag University of Illinois at Urbana-Champaign
Chris H. Kim
Chris H. Kim University of Minnesota
Tong Zhang
Tong Zhang Rensselaer Polytechnic Institute
Zhongfeng Wang
Zhongfeng Wang Nanjing University
David G. Messerschmitt
David G. Messerschmitt University of California, Berkeley
Theoden I. Netoff
Theoden I. Netoff University of Minnesota
Sachin S. Sapatnekar
Sachin S. Sapatnekar University of Minnesota
Bonnie Klimes-Dougan
Bonnie Klimes-Dougan University of Minnesota
Ahmed H. Tewfik
Ahmed H. Tewfik The University of Texas at Austin

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