• 314 Citations
  • 8 h-Index

Research output per year

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Personal profile


Hari is Lecturer in Computer Science at Edge Hill University, UK. He is specialized in Computer Science & Engineering. His research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition and machine learning algorithms. He is author of various books in computer science engineering (algorithms, programming and evolutionary algorithms). He has published over 50 scientific papers in reputed journals and conferences, served as session chair, leading guest editor and delivered keynotes. He has been given the prestigious award “The Global Award for the Best Computer Science Faculty of the Year 2015” (http://asdf.international/hari-mohan-pandey-asdf-global-awards-2015/), award for completing INDO-US project “GENTLE”, award (Certificate of Exceptionalism) from the Prime Minister of India and award for developing innovative teaching and learning models for higher-education. Previously, He was working as a research fellow machine learning at Middlesex University, London where He worked on a European Commission project- DREAM4CAR. His role was to research and develop advanced machine learning techniques relevant to the project goals and to evaluate these on both project & reference data sets. To lead and manage relevant work packages in support of Project DREAMS4CARS, ensuring appropriate interfacing with partners. To lead a Work Package and to work with those of research partners; to carry out individual and collaborative research relevant to the project. To contribute to the development of software according to project specifications. To produce research reports and deliverables related to the project. To undertake work package leadership and general administrative tasks to ensure the smooth running of the project. To coordinate with research partners and stakeholders related to the project with immediate responsibility for the work package.

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Research Output

State of the art on grammatical inference using evolutionary method

PANDEY, HARI. MOHAN., 18 Sep 2019, (Accepted/In press) Elsevier. 230 p.

Research output: Book/ReportBook

  • Bit mask-oriented genetic algorithm for grammatical inference and premature convergence

    Pandey, H., Chaudhary, A. & Mehrotra, D., 2018, In : International Journal of Bio-Inspired Computation. 12, 1, p. 54-69 16 p.

    Research output: Contribution to journalArticle

  • 5 Citations (Scopus)

    Intelligent Classification and Analysis of Essential Genes Species Using Quantitative Methods

    Kumar Rout, R., Hassan, SK. S., SINDHWANI, SANCHIT., PANDEY, HARI. MOHAN. & Umer, S., 7 Jul 2019, (Accepted/In press) In : ACM Transactions on Mulitmedia Computing, Communications, and Applications (TOMM). TOMM-2019-0121.

    Research output: Contribution to journalArticle

    Open Access
  • 70 Downloads (Pure)

    Minimum Variance-Embedded Deep Kernel Regularized least squares Method for One-class Classification and Its Applications to Biomedical Data

    PANDEY, HARI. MOHAN., Gautam, C., Mishra, P. K., Tiwari, A., Richhariya, B., Wang, S. & Tanveer, M., 12 Dec 2019, In : Neural Networks. 123, p. 191-216

    Research output: Contribution to journalArticle

  • 2 Citations (Scopus)

    A Dimension-Reduction Based Multilayer Perception Method for Supporting the Medical Decision Making

    Shin-Jye Lee, Ching-Hsun Tseng, G. T. –R. Lin, Yun Yang, Po Yang & Khan Muhammad, 27 Nov 2019, In : Pattern Recognition Letters.

    Research output: Contribution to journalArticle

  • 1 Citation (Scopus)


    • 4 Invited talk

    Contribution of Metaheuristic Algorithms in Deep Learning


    11 Jun 2020

    Activity: Talk or presentation typesInvited talk

    Optimal Knowledge Set Generation Using Multiobjective Genetic Algorithm


    27 Dec 201929 Dec 2019

    Activity: Talk or presentation typesInvited talk