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Computer Science
India
2026

D-Index & Metrics

Computer Science

D-Index
84
Citations
24756
World Ranking
866
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Computer Science in India Leader Award
  • 2025 - Research.com Computer Science in India Leader Award
  • 2022 - Research.com Computer Science in India Leader Award

Overview

Bijaya Ketan Panigrahi is affiliated with the Indian Institute of Technology Delhi in India. Their research spans multiple areas within engineering, with a focus on electrical and electronic engineering, control and systems engineering, automotive engineering, artificial intelligence, and renewable energy, sustainability, and the environment.

The main fields of study for this researcher include:

  • Engineering

Among subfields, their work prominently features:

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Automotive Engineering
  • Artificial Intelligence
  • Renewable Energy, Sustainability and the Environment

Research topics addressed by Bijaya Ketan Panigrahi cover diverse technical domains, such as:

  • Microgrid Control and Optimization
  • Advanced Battery Technologies Research
  • Islanding Detection in Power Systems
  • Electric Vehicles and Infrastructure
  • Photovoltaic System Optimization Techniques
  • Smart Grid Security and Resilience
  • Power Systems and Renewable Energy

Their recent published papers include:

  • "Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India" (2020), published in Chaos Solitons & Fractals
  • "Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices" (2020), published in Applied Intelligence
  • "Hybrid MPSO-CNN: Multi-level Particle Swarm optimized hyperparameters of Convolutional Neural Network" (2021), published in Swarm and Evolutionary Computation
  • "Review on technological advancement of lithium-ion battery states estimation methods for electric vehicle applications" (2023), published in Journal of Energy Storage
  • "Multi-input CNN based vibro-acoustic fusion for accurate fault diagnosis of induction motor" (2023), published in Engineering Applications of Artificial Intelligence

Frequent co-authors collaborating with this researcher include:

  • Bhim Singh (65 publications)
  • Shahab Fatima (17 publications)
  • Tapan Kumar Gandhi (16 publications)
  • Anurag Choudhary (16 publications)
  • Kirti Gupta (14 publications)

Common publication venues for Bijaya Ketan Panigrahi's work are:

  • IEEE Transactions on Industry Applications
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Transportation Electrification
  • IEEE Systems Journal
  • IEEE Transactions on Energy Conversion

They have contributed to several books published by major publishers. Notable book publications include:

  • Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing (2020)
  • Communications, Signal Processing, and Systems (2022)
  • Sensing Technology (2022)
  • Recent Advances in Electrical Engineering, Electronics and Energy (2022)
  • Intelligent Computing and Applications (2020)
  • Sixth International Conference on Intelligent Computing and Applications (2021)

These works have been published under Springer Science+Business Media and Springer Nature.

Best Publications

  • Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network

    S. Mishra;C.N. Bhende;B.K. Panigrahi

  • Power quality analysis using S-transform

    P. E. K. Dash;B. K. Panigrahi;G. Panda

  • Adaptive particle swarm optimization approach for static and dynamic economic load dispatch

    B.K. Panigrahi;V. Ravikumar Pandi;Sanjoy Das

  • Multiobjective Particle Swarm Algorithm With Fuzzy Clustering for Electrical Power Dispatch

    S. Agrawal;B.K. Panigrahi;M.K. Tiwari

  • A comparative study of wavelet families for EEG signal classification

    Tapan Gandhi;Bijay Ketan Panigrahi;Sneh Anand

  • Bacterial foraging optimisation: Nelder-Mead hybrid algorithm for economic load dispatch

    B.K. Panigrahi;V. Ravikumar Pandi

  • Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India

    Parul Arora;Himanshu Kumar;Bijaya Ketan Panigrahi

  • Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

    Sakshi Ahuja;Bijaya Ketan Panigrahi;Nilanjan Dey;Venkatesan Rajinikanth

  • Exploratory Power of the Harmony Search Algorithm: Analysis and Improvements for Global Numerical Optimization

    S Das;A Mukhopadhyay;A Roy;A Abraham

  • Power Quality Disturbance Classification Using Fuzzy C-Means Algorithm and Adaptive Particle Swarm Optimization

    B. Biswal;P.K. Dash;B.K. Panigrahi

  • Optimal coordination of directional over-current relays using Teaching Learning-Based Optimization (TLBO) algorithm

    Manohar Singh;B.K. Panigrahi;A.R. Abhyankar

  • A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning

    Pradipta Kumar Das;Himansu Sekhar Behera;Bijaya K. Panigrahi

  • Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm

    Sanjay Agrawal;Rutuparna Panda;Sudipta Bhuyan;Bijaya K. Panigrahi

  • A clonal algorithm to solve economic load dispatch

    B.K. Panigrahi;Salik R. Yadav;Shubham Agrawal;M.K. Tiwari

  • Automated Diagnosis of Epilepsy Using Key-Point-Based Local Binary Pattern of EEG Signals

    Ashwani Kumar Tiwari;Ram Bilas Pachori;Vivek Kanhangad;Bijaya Ketan Panigrahi

  • Investigation of Vibration Signatures for Multiple Fault Diagnosis in Variable Frequency Drives Using Complex Wavelets

    Jeevanand Seshadrinath;Bhim Singh;Bijaya Ketan Panigrahi

  • Handbook of Swarm Intelligence: Concepts, Principles and Applications

    Bijaya Ketan Panigrahi;Yuhui Shi;Meng-Hiot Lim

  • Power quality disturbance data compression, detection, and classification using integrated spline wavelet and S-transform

    P.K. Dash;B.K. Panigrahi;D.K. Sahoo;G. Panda

  • A novel robust diagnostic model to detect seizures in electroencephalography

    Piyush Swami;Tapan K. Gandhi;Bijaya K. Panigrahi;Manjari Tripathi

  • Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm

    Wei-Chiang Hong;Yucheng Dong;Wen Yu Zhang;Li-Yueh Chen

  • Optimal feature selection for classification of power quality disturbances using wavelet packet-based fuzzy k-nearest neighbour algorithm

    B.K. Panigrahi;V.R. Pandi

Frequent Co-Authors

Bhim Singh
Bhim Singh Indian Institute of Technology Delhi
Rajesh Kumar
Rajesh Kumar University of Johannesburg
Swagatam Das
Swagatam Das Indian Statistical Institute
Manav R. Bhatnagar
Manav R. Bhatnagar Indian Institute of Technology Delhi
P.K. Dash
P.K. Dash Siksha O Anusandhan University
Anupam Joshi
Anupam Joshi University of Maryland, Baltimore County
Subhransu Ranjan Samantaray
Subhransu Ranjan Samantaray Indian Institute of Technology Bhubaneswar
Almoataz Y. Abdelaziz
Almoataz Y. Abdelaziz Ain Shams University
Saptarshi Ghosh
Saptarshi Ghosh Indian Institute of Technology Indore

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