World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
70
Citations
21478
World Ranking
1859
National Ranking
106

Research.com Recognitions

  • 2014 - Fellow of the Royal Academy of Engineering (UK)
  • 2011 - IEEE Fellow For contributions to signal processing and its applications

Overview

Asoke K. Nandi is affiliated with Brunel University London in the United Kingdom. Their research primarily spans the fields of Engineering and Computer Science, with significant contributions in subfields such as Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Media Technology, and Mechanical Engineering.

Their work covers several main research topics including:

  • Machine Fault Diagnosis Techniques
  • Remote-Sensing Image Classification
  • Advanced Neural Network Applications
  • Fault Detection and Control Systems
  • Gear and Bearing Dynamics Analysis
  • Medical Image Segmentation Techniques
  • Remote Sensing and Land Use

Recent notable publications in which they are involved include:

  • Applications of machine learning to machine fault diagnosis: A review and roadmap, 2020, Mechanical Systems and Signal Processing
  • Medical image segmentation using deep learning: A survey, 2022, IET Image Processing
  • Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnostics, 2023, Mechanical Systems and Signal Processing
  • Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network, 2022, IEEE Transactions on Medical Imaging
  • DefED-Net: Deformable Encoder-Decoder Network for Liver and Liver Tumor Segmentation, 2021, IEEE Transactions on Radiation and Plasma Medical Sciences

The scientist collaborates frequently with several co-authors, including:

  • Tao Lei
  • Hosameldin Ahmed
  • Xiaogang Du
  • Hailong Ning
  • Ruqiang Yan

Their publications appear predominantly in a range of established venues, such as:

  • IEEE Access
  • SSRN Electronic Journal
  • IEEE Transactions on Geoscience and Remote Sensing
  • Frontiers in Signal Processing
  • Sensors

Asoke K. Nandi has been recognized with awards including:

  • Fellow of the Royal Academy of Engineering (UK), 2014
  • IEEE Fellow, 2011, for contributions to signal processing and its applications

Best Publications

  • Applications of machine learning to machine fault diagnosis: A review and roadmap

    Yaguo Lei;Bin Yang;Xinwei Jiang;Feng Jia

  • Algorithms for automatic modulation recognition of communication signals

    A.K. Nandi;E.E. Azzouz

  • Automatic Modulation Recognition of Communication Signals

    Elsayed Elsayed Azzouz;Asoke Kumar Nandi

  • FAULT DETECTION USING SUPPORT VECTOR MACHINES AND ARTIFICIAL NEURAL NETWORKS, AUGMENTED BY GENETIC ALGORITHMS

    L.B. Jack;A.K. Nandi

  • Automatic identification of digital modulation types

    E. E. Azzouz;A. K. Nandi

  • Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering

    Tao Lei;Xiaohong Jia;Yanning Zhang;Lifeng He

  • Noninvasive fetal electrocardiogram extraction: blind separation versus adaptive noise cancellation

    V. Zarzoso;A.K. Nandi

  • Credit Card Fraud Detection Using AdaBoost and Majority Voting

    Kuldeep Randhawa;Chu Kiong Loo;Manjeevan Seera;Chee Peng Lim

  • Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation

    Tao Lei;Xiaohong Jia;Yanning Zhang;Shigang Liu

  • Automatic Modulation Classification Using Combination of Genetic Programming and KNN

    Muhammad Waqar Aslam;Zhechen Zhu;Asoke Kumar Nandi

  • Automatic digital modulation recognition using artificial neural network and genetic algorithm

    M. L. D. Wong;A. K. Nandi

  • Feature generation using genetic programming with application to fault classification

    Hong Guo;L.B. Jack;A.K. Nandi

  • Landslide Inventory Mapping From Bitemporal Images Using Deep Convolutional Neural Networks

    Tao Lei;Yuxiao Zhang;Zhiyong Lv;Shuying Li

  • Automatic Modulation Classification: Principles, Algorithms and Applications

    Zhechen Zhu;Asoke K. Nandi

  • Blind estimation using higher-order statistics

    Asoke Kumar Nandi

  • Modulation recognition using artificial neural networks

    A. K. Nandi;E. E. Azzouz

  • Breast cancer diagnosis using genetic programming generated feature

    Hong Guo;Asoke K. Nandi

  • Automatic analogue modulation recognition

    A. K. Nandi;E. E. Azzouz

  • Automated localisation of retinal optic disk using Hough transform

    S. Sekhar;W. Al-Nuaimy;A.K. Nandi

  • Maternal and foetal ECG separation using blind source separation methods

    V. Zarzoso;A. K. Nandi;E. Bacharakis

  • Fault detection using genetic programming

    Liang Zhang;Lindsay B. Jack;Asoke K. Nandi

  • Medical Image Segmentation Using Deep Learning: A Survey.

    Tao Lei;Risheng Wang;Yong Wan;Xiaogang Du

  • Comprehensive analysis of forty yeast microarray datasets reveals a novel subset of genes (APha-RiB) consistently negatively associated with ribosome biogenesis

    Basel Abu-Jamous;Rui Fa;David J Roberts;David J Roberts;Asoke K Nandi;Asoke K Nandi

Frequent Co-Authors

R. Mountain
R. Mountain Syracuse University

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