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Ripon Kumar Chakrabortty

Ripon Kumar Chakrabortty

D-Index & Metrics

Computer Science

D-Index
51
Citations
7749
World Ranking
5434
National Ranking
164

Overview

Ripon Kumar Chakrabortty is affiliated with the University of New South Wales in Australia. Their research spans multiple fields with a primary emphasis on Engineering and Computer Science. Within these domains, they have contributed extensively to subfields such as Artificial Intelligence, Management Science and Operations Research, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, and Strategy and Management.

The topics central to Chakrabortty's work include scheduling and optimization algorithms, sustainable supply chain management, resource-constrained project scheduling, supply chain resilience and risk management, metaheuristic optimization algorithms research, multi-criteria decision making, and solar radiation and photovoltaics.

Significant publications by Chakrabortty feature works in prominent venues. Selected recent papers include:

  • A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection (2020, Engineering Applications of Artificial Intelligence)
  • A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management (2021, IEEE Access)
  • A new hybrid multi-criteria decision-making approach for location selection of sustainable offshore wind energy stations: A case study (2020, Journal of Cleaner Production)
  • Graph Neural Network: A Comprehensive Review on Non-Euclidean Space (2021, IEEE Access)
  • Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm (2022, Mathematics)

Chakrabortty frequently publishes in several academic journals, with the highest number of contributions listed for:

  • IEEE Access (21 publications)
  • Computers & Industrial Engineering (15 publications)
  • Expert Systems with Applications (11 publications)
  • SSRN Electronic Journal (9 publications)
  • Knowledge-Based Systems (8 publications)

Their collaborative work frequently involves co-authors such as Michael J. Ryan, Mohamed Abdel-Basset, Humyun Fuad Rahman, Alireza Abbasi, and Karam M. Sallam.

Best Publications

  • A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection

    Manoj Mathew;Ripon Kumar Chakrabortty;Michael J. Ryan

  • A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management

    Shahid A. Hasib;S. Islam;Ripon K. Chakrabortty;Michael J. Ryan

  • Improved Multi-operator Differential Evolution Algorithm for Solving Unconstrained Problems

    Karam M. Sallam;Saber M. Elsayed;Ripon K. Chakrabortty;Michael J. Ryan

  • A new hybrid multi-criteria decision-making approach for location selection of sustainable offshore wind energy stations: A case study

    Mohamed Abdel-Basset;Abduallah Gamal;Ripon K. Chakrabortty;Michael Ryan

  • Graph Neural Network: A Comprehensive Review on Non-Euclidean Space

    Nurul A. Asif;Yeahia Sarker;Ripon K. Chakrabortty;Michael J. Ryan

  • Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm

    Unknown

  • A Hybrid COVID-19 Detection Model Using an Improved Marine Predators Algorithm and a Ranking-Based Diversity Reduction Strategy

    Mohamed Abdel-Basset;Reda Mohamed;Mohamed Elhoseny;Ripon Kumar Chakrabortty

  • Very short-term forecasting of wind power generation using hybrid deep learning model

    Alamgir Hossain;Alamgir Hossain;Ripon K. Chakrabortty;Sondoss Elsawah;Michael J. Ryan

  • Parameter estimation of photovoltaic models using an improved marine predators algorithm

    Mohamed Abdel-Basset;Doaa El-Shahat;Ripon K. Chakrabortty;Michael Ryan

  • Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review

    Md. A. K. Niloy;Anika Shama;Ripon K. Chakrabortty;Michael J. Ryan

  • Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog Environment

    Mohamed Abdel-Basset;Victor Chang;Hossam Hawash;Ripon K. Chakrabortty

  • Solar photovoltaic parameter estimation using an improved equilibrium optimizer

    Mohamed Abdel-Basset;Reda Mohamed;Seyedali Mirjalili;Ripon K. Chakrabortty

  • Semi-Supervised Spatiotemporal Deep Learning for Intrusions Detection in IoT Networks

    Mohamed Abdel-Basset;Hossam Hawash;Ripon K. Chakrabortty;Michael J. Ryan

  • ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications

    Mohamed Abdel-Basset;Hossam Hawash;Ripon K. Chakrabortty;Michael Ryan

  • FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection

    Mohamed Abdel-Basset;Victor Chang;Hossam Hawash;Ripon Kumar Chakrabortty

  • PV-Net: An innovative deep learning approach for efficient forecasting of short-term photovoltaic energy production

    Mohamed Abdel-Basset;Hossam Hawash;Ripon K. Chakrabortty;Michael Ryan

  • Resource constrained project scheduling with uncertain activity durations

    Ripon Kumar Chakrabortty;Ruhul A. Sarker;Daryl Leslie Essam

  • An efficient teaching-learning-based optimization algorithm for parameters identification of photovoltaic models: Analysis and validations

    Mohamed Abdel-Basset;Reda Mohamed;Ripon K. Chakrabortty;Karam Sallam

  • Energy management of community energy storage in grid-connected microgrid under uncertain real-time prices

    Alamgir Hossain;Alamgir Hossain;Ripon K. Chakrabortty;Michael J. Ryan;Hemanshu Roy Pota

  • Selection of an Optimal Maintenance Strategy Under Uncertain Conditions: An Interval Type-2 Fuzzy AHP-TOPSIS Method

    Manoj Mathew;Ripon K. Chakrabortty;Michael J. Ryan

  • Multi-mode resource constrained project scheduling under resource disruptions

    Ripon Kumar Chakrabortty;Ruhul A. Sarker;Daryl Leslie Essam

  • Very Short-term Forecasting of Wind Power Generation using Hybrid Deep Learning Model

    Md. Alamgir Hossain;Ripon K. Chakrabortty;Sondoss Elsawah;Michael J. Ryan

Frequent Co-Authors

Michael J. Ryan
Michael J. Ryan University of New South Wales
Daryl Essam
Daryl Essam University of New South Wales
Ruhul A. Sarker
Ruhul A. Sarker University of New South Wales
Sanjoy Paul
Sanjoy Paul University of Technology Sydney
Seyedali Mirjalili
Seyedali Mirjalili Torrens University Australia
Saber M. Elsayed
Saber M. Elsayed University of New South Wales
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology
Mohamed Elhoseny
Mohamed Elhoseny University of Sharjah
Victor Chang
Victor Chang Aston University
Hemanshu R. Pota
Hemanshu R. Pota University of New South Wales

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