World's Best Scientists 2026 revealed!
Hossein Nezamabadi-pour

Hossein Nezamabadi-pour

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Computer Science
Iran
2026

D-Index & Metrics

Computer Science

D-Index
51
Citations
18374
World Ranking
5211
National Ranking
3

Research.com Recognitions

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

Overview

Hossein Nezamabadi-pour is affiliated with Shahid Bahonar University of Kerman in Iran. Their research spans multiple fields within computer science and engineering, with a total of 81 publications in computer science and 29 in engineering. Their work is focused on diverse subfields including computer vision and pattern recognition, artificial intelligence, media technology, electrical and electronic engineering, and management science and operations research.

The scientist has contributed extensively to various research topics. Key areas of focus include anomaly detection techniques and applications, imbalanced data classification techniques, text and document classification technologies, face and expression recognition, metaheuristic optimization algorithms research, human pose and action recognition, and multi-criteria decision making.

Nezamabadi-pour has published papers in several notable venues. Frequent publication outlets include Multimedia Tools and Applications with 6 publications, Expert Systems with Applications with 5, Pattern Analysis and Applications with 3, International Journal of Machine Learning and Cybernetics with 2, and Sensors with 2 publications.

Some of the recent papers by Nezamabadi-pour include:

  • MFS-MCDM: Multi-label feature selection using multi-criteria decision making (2020), published in Knowledge-Based Systems
  • Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection (2021), published in Swarm and Evolutionary Computation
  • Ensemble of feature selection algorithms: a multi-criteria decision-making approach (2021), published in International Journal of Machine Learning and Cybernetics
  • VMFS: A VIKOR-based multi-target feature selection (2021), published in Expert Systems with Applications
  • An efficient Pareto-based feature selection algorithm for multi-label classification (2021), published in Information Sciences

Nezamabadi-pour has collaborated regularly with several researchers. Frequent co-authors include Mohammad Bagher Dowlatshahi, Amin Hashemi, Behzad Mirzaei, Javad Mahmoodi, and Farshad Rahmati.

Best Publications

  • GSA: A Gravitational Search Algorithm

    Esmat Rashedi;Hossein Nezamabadi-pour;Saeid Saryazdi

  • BGSA: binary gravitational search algorithm

    Esmat Rashedi;Hossein Nezamabadi-Pour;Saeid Saryazdi

  • Filter modeling using gravitational search algorithm

    Unknown

  • An advanced ACO algorithm for feature subset selection

    Shima Kashef;Hossein Nezamabadi-pour

  • An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems

    K. Nekooei;M. M. Farsangi;H. Nezamabadi-Pour;K. Y. Lee

  • Image denoising in the wavelet domain using a new adaptive thresholding function

    Mehdi Nasri;Hossein Nezamabadi-pour

  • MLACO: A multi-label feature selection algorithm based on ant colony optimization

    Mohsen Paniri;Mohammad Bagher Dowlatshahi;Hossein Nezamabadi-pour

  • Edge detection using ant algorithms

    Hossein Nezamabadi-pour;Saeid Saryazdi;Esmat Rashedi

  • A comprehensive survey on gravitational search algorithm

    Esmat Rashedi;Elaheh Rashedi;Hossein Nezamabadi-pour

  • A combined approach for clustering based on K-means and gravitational search algorithms

    Abdolreza Hatamlou;Abdolreza Hatamlou;Salwani Abdullah;Hossein Nezamabadi-pour

  • Disruption: A new operator in gravitational search algorithm

    Soroor Sarafrazi;Hossein Nezamabadi-pour;Saeid Saryazdi

  • Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams

    Mohammad Mohammadhassani;Hossein Nezamabadi-pour;Meldi Suhatril;Mahdi Shariati

  • A gravitational search algorithm for multimodal optimization

    Sajjad Yazdani;Hossein Nezamabadi-pour;Shima Kamyab

  • Multilabel feature selection: A comprehensive review and guiding experiments

    Shima Kashef;Hossein Nezamabadi‐pour;Bahareh Nikpour

  • A PSO-Based Optimum Design of PID Controller for a Linear Brushless DC Motor

    Mehdi Nasri;Hossein Nezamabadi-pour;Malihe Maghfoori

  • MFS-MCDM: Multi-label feature selection using multi-criteria decision making

    Amin Hashemi;Mohammad Bagher Dowlatshahi;Hossein Nezamabadi-pour

  • MGFS: A multi-label graph-based feature selection algorithm via PageRank centrality

    Amin Hashemi;Mohammad Bagher Dowlatshahi;Hossein Nezamabadi-pour

  • Facing the classification of binary problems with a GSA-SVM hybrid system

    Soroor Sarafrazi;Hossein Nezamabadi-pour

  • Placement of SVCs and Selection of Stabilizing Signals in Power Systems

    M.M. Farsangi;H. Nezamabadi-pour;Yong-Hua Song;K.Y. Lee

  • A simultaneous feature adaptation and feature selection method for content-based image retrieval systems

    Esmat Rashedi;Hossein Nezamabadi-Pour;Saeid Saryazdi

  • An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups

    Mohammad Mohammadhassani;Hossein Nezamabadi-pour;Meldi Suhatril;Mahdi shariati

Frequent Co-Authors

Kwang Y. Lee
Kwang Y. Lee Baylor University
Mohammed Jameel
Mohammed Jameel King Khalid University
Mohd Zamin Jumaat
Mohd Zamin Jumaat University of Malaya
Mahdi Shariati
Mahdi Shariati Duy Tan University
Salwani Abdullah
Salwani Abdullah National University of Malaysia
Nikos D. Hatziargyriou
Nikos D. Hatziargyriou National Technical University of Athens
Sukumar Mishra
Sukumar Mishra Indian Institute of Technology Delhi

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