World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
72
Citations
28017
World Ranking
1643
National Ranking
13

Research.com Recognitions

  • 2016 - Fellow, The World Academy of Sciences
  • 2005 - IEEE Fellow For contributions to neural networks and fuzzy logic in pattern recognition.
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)

Overview

Nikhil R. Pal is affiliated with the Indian Statistical Institute in India and has contributed extensively to the fields of Computer Science and Engineering. Their work spans multiple subfields with a particular focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Computer Networks and Communications, and Computational Theory and Mathematics.

Their main research topics include Neural Networks and Applications, Face and Expression Recognition, Fuzzy Logic and Control Systems, Machine Learning and Extreme Learning Machines (ELM), Remote-Sensing Image Classification, Distributed Control Multi-Agent Systems, and Rough Sets and Fuzzy Logic.

Among their recent publications are the following papers:

  • "Feature Selection Using a Neural Network With Group Lasso Regularization and Controlled Redundancy," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "An Adaptive Neuro-Fuzzy System With Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems," 2022, IEEE Transactions on Fuzzy Systems
  • "Unsupervised feature selection via adaptive autoencoder with redundancy control," 2022, Neural Networks
  • "Sensitivity analysis of Takagi-Sugeno fuzzy neural network," 2021, Information Sciences
  • "Fractional Approximation of Broad Learning System," 2022, IEEE Transactions on Cybernetics

Frequent collaborators in their research include Jian Wang, Kai Zhang, Chin-Teng Lin, Huaqing Zhang, and Qin Chang.

Key publication venues where Nikhil R. Pal's work appears prominently include arXiv (Cornell University), IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, and Information Sciences.

The scientist has also contributed to academic books published by Springer Nature, including "Recent Advances in Artificial Intelligence and Data Engineering" (2021) and "Educating Engineers for Future Industrial Revolutions" (2021).

Nikhil R. Pal has been recognized by several organizations and holds fellowships in prestigious academies such as The World Academy of Sciences (2016), as well as IEEE (2005) for contributions in neural networks and fuzzy logic in pattern recognition, and the Indian National Academy of Engineering.

Best Publications

  • A review on image segmentation techniques

    Nikhil R Pal;Sankar K Pal

  • On cluster validity for the fuzzy c-means model

    N.R. Pal;J.C. Bezdek

  • A possibilistic fuzzy c-means clustering algorithm

    N.R. Pal;K. Pal;J.M. Keller;J.C. Bezdek

  • Some new indexes of cluster validity

    J.C. Bezdek;N.R. Pal

  • A robust self-tuning scheme for PI- and PD-type fuzzy controllers

    R.K. Mudi;N.R. Pal

  • Fuzzy Kohonen clustering networks

    Eric Chen-Kuo Tsao;James C. Bezdek;Nikhil R. Pal

  • Generalized clustering networks and Kohonen's self-organizing scheme

    N.R. Pal;J.C. Bezdek;E.C.-K. Tsao

  • A mixed c-means clustering model

    N.R. Pal;K. Pal;J.C. Bezdek

  • Some new information measures for fuzzy sets

    Dinabandhu Bhandari;Nikhil R. Pal

  • Entropy: a new definition and its applications

    N.R. Pal;S.K. Pal

  • Object-background segmentation using new definitions of entropy

    N.R. Pal;S.K. Pal

  • Genetic programming for simultaneous feature selection and classifier design

    D.P. Muni;N.R. Pal;J. Das

  • Measuring fuzzy uncertainty

    N.R. Pal;J.C. Bezdek

  • Fuzzy Kohonen clustering networks

    J.C. Bezdek;E.C.-K. Tsao;N.R. Pal

  • On averaging operators for Atanassov's intuitionistic fuzzy sets

    G. Beliakov;H. Bustince;D. P. Goswami;U. K. Mukherjee

  • Cluster validation using graph theoretic concepts

    Nikhil R. Pal;J. Biswas

  • A self-tuning fuzzy PI controller

    Rajani K. Mudi;Nikhil R. Pal

  • On minimum cross-entropy thresholding

    Nikhil R. Pal

  • A novel approach to design classifiers using genetic programming

    D.P. Muni;N.R. Pal;J. Das

  • A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification

    D. Chakraborty;N.R. Pal

  • Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets)

    James C. Bezdek;James Keller;Raghu Krisnapuram;Nikhil R. Pal

Frequent Co-Authors

James C. Bezdek
James C. Bezdek University of Melbourne
Chin-Teng Lin
Chin-Teng Lin University of Technology Sydney
Sankar K. Pal
Sankar K. Pal Indian Statistical Institute
James M. Keller
James M. Keller University of Missouri
Bhabatosh Chanda
Bhabatosh Chanda Indian Statistical Institute
Ashish Ghosh
Ashish Ghosh Indian Statistical Institute
Zehong Cao
Zehong Cao University of South Australia
Lakhmi C. Jain
Lakhmi C. Jain University of South Australia
Richard J. Hathaway
Richard J. Hathaway Georgia Southern University
Humberto Bustince
Humberto Bustince Universidad Publica De Navarra

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