World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5669
World Ranking
10299
National Ranking
7

Overview

Pandian Vasant is affiliated with Ton Duc Thang University in Vietnam and has a research focus primarily within the field of engineering, with strong emphasis on subfields such as ocean engineering, electrical and electronic engineering, mechanical engineering, artificial intelligence, and control and systems engineering.

Their work covers a variety of topics related to engineering, including drilling and well engineering, reservoir engineering and simulation methods, hydraulic fracturing and reservoir analysis, oil and gas production techniques, electric power system optimization, energy load and power forecasting, and water systems and optimization.

Recent publications by Pandian Vasant include:

  • A Genetic Algorithm Optimized RNN-LSTM Model for Remaining Useful Life Prediction of Turbofan Engine, 2021, Electronics
  • Optimization of the hydropower energy generation using Meta-Heuristic approaches: A review, 2020, Energy Reports
  • A holistic review on artificial intelligence techniques for well placement optimization problem, 2020, Advances in Engineering Software
  • Combined Generative Adversarial Network and Fuzzy C-Means Clustering for Multi-Class Voice Disorder Detection with an Imbalanced Dataset, 2020, Applied Sciences
  • Cellular automata-based multi-objective hybrid grey wolf optimization and particle swarm optimization algorithm for wellbore trajectory optimization, 2020, Journal of Natural Gas Science and Engineering

They have frequently published in several venues, with the most common being:

  • Applied Sciences (5 publications)
  • Journal of the Operations Research Society of China (3 publications)
  • Journal of Petroleum Science and Engineering (2 publications)
  • Computational Intelligence (2 publications)
  • Sensors (2 publications)

Coauthors who frequently collaborate with Pandian Vasant include Igor Litvinchev, José Antonio Marmolejo-Saucedo, Román Rodríguez-Aguilar, J. Joshua Thomas, and Gerhard-Wilhelm Weber.

Their scholarly output also includes several book publications primarily through Springer International Publishing, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, and Springer Nature. Titles encompass topics like artificial intelligence applications for renewable energy systems, data analysis and optimization in engineering, and advances in intelligent computing and optimization:

  • Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy, 2023
  • Data Analysis and Optimization for Engineering and Computing Problems, 2020
  • Intelligent Computing & Optimization, 2021 and 2023 editions
  • Computer Science and Health Engineering in Health Services, 2021
  • Computer Science and Engineering in Health Services, 2021

The breadth of their work reflects a multidisciplinary approach across engineering domains with specialized attention to optimization methods, artificial intelligence techniques, and energy system applications.

Best Publications

  • Industry 4.0 framework for management and operations: a review

    Jania Astrid Saucedo-Martínez;Magdiel Pérez-Lara;José Antonio Marmolejo-Saucedo;Tomás Eloy Salais-Fierro

  • A MULTI OBJECTIVE MODEL FOR OPTIMIZATION OF A GREEN SUPPLY CHAIN NETWORK

    Turan Paksoy;Eren Özceylan;Gerhard‐Wilhelm Weber

  • A comprehensive review on theoretical framework‐based electric vehicle consumer adoption research

    Nadia Adnan;Shahrina Nordin;Imran Rahman;Pandian M. Vasant

  • A holistic review on optimization strategies for combined economic emission dispatch problem

    Fahad Parvez Mahdi;Pandian Vasant;Vish Kallimani;Junzo Watada

  • Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP

    Arijit Bhattacharya;Pandian Vasant

  • Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance

    Pandian Vasant

  • Application of Fuzzy Linear Programming in Production Planning

    Pandian M. Vasant

  • Swarm intelligence and gravitational search algorithm for multi-objective optimization of synthesis gas production

    T. Ganesan;I. Elamvazuthi;Ku Zilati Ku Shaari;P. Vasant

  • Vendor selection problem by using an interactive fuzzy multi-objective approach with modified S-curve membership functions

    Manuel Díaz-Madroñero;David Peidro;Pandian Vasant

  • Transportation planning with modified S-curve membership functions using an interactive fuzzy multi-objective approach

    David Peidro;Pandian Vasant

  • A genetic algorithm optimized RNN-LSTM model for remaining useful life prediction of turbofan engine

    Kwok Tai Chui;Brij B. Gupta;Pandian Vasant

  • Optimization of the hydropower energy generation using Meta-Heuristic approaches: A review

    Abdus Samad Azad;Shokor A. Rahaman;Junzo Watada;Pandian Vasant

  • On the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles

    Imran Rahman;Pandian M. Vasant;Balbir Singh Mahinder Singh;M. Abdullah-Al-Wadud

  • Vertical and horizontal integration systems in Industry 4.0

    Magdiel Pérez-Lara;Jania Astrid Saucedo-Martínez;José Antonio Marmolejo-Saucedo;Tomás Eloy Salais-Fierro

  • Handbook of Research on Artificial Intelligence Techniques and Algorithms

    Pandian Vasant

  • Intelligent Computing & Optimization

    Pandian Vasant;Ivan Zelinka;Gerhard-Wilhelm Weber

  • A holistic review on artificial intelligence techniques for well placement optimization problem

    Jahedul Islam;Pandian M. Vasant;Berihun Mamo Negash;Moacyr Bartholomeu Laruccia

  • Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications

    Pandian M. Vasant

  • Hybrid genetic algorithms and line search method for industrial production planning with non-linear fitness function

    Pandian Vasant;Nader Barsoum

  • Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics

    Pandian Vasant;Gerhard-Wilhelm Weber;Vo Ngoc Dieu

  • Detection of level of satisfaction and fuzziness patterns for MCDM model with modified flexible S-curve MF

    Pandian Vasant;Arijit Bhattacharya;Bijan Sarkar;Sanat Kumar Mukherjee

Frequent Co-Authors

Junzo Watada
Junzo Watada Waseda University
Gerhard-Wilhelm Weber
Gerhard-Wilhelm Weber Poznań University of Technology
Ajith Abraham
Ajith Abraham Sai University
Sazali Yaacob
Sazali Yaacob University of Kuala Lumpur
Brij B. Gupta
Brij B. Gupta Asia University Taiwan
Crina Grosan
Crina Grosan King's College London
José L. Verdegay
José L. Verdegay University of Granada
Akira Hirose
Akira Hirose University of Tokyo
Kenji Doya
Kenji Doya Okinawa Institute of Science and Technology
Sabri Arik
Sabri Arik Istanbul University

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