Photo of HARI MOHAN PANDEY

    Accepting PhD Students

    • 198 Citations
    • 7 h-Index
    20102020
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    Personal profile

    Biography

    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.

    Fingerprint Dive into the research topics where HARI MOHAN PANDEY is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    • 3 Similar Profiles
    Genetic algorithms Engineering & Materials Science
    Context free grammars Engineering & Materials Science
    Grammatical Inference Mathematics
    Genetic Algorithm Mathematics
    Global optimization Engineering & Materials Science
    Masks Engineering & Materials Science
    Robotics Engineering & Materials Science
    Simulated annealing Engineering & Materials Science

    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 2010 2020

    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

    Genetic algorithms
    Masks
    Evolutionary algorithms
    Statistical tests
    Data structures
    2 Citations (Scopus)

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

    Pandey, H., Chaudhary, A. & Mehrotra, D., 29 Jun 2018, In : International Journal of Bio-Inspired Computation. 12, 1, p. 54-69

    Research output: Contribution to journalArticle

    Grammatical Inference
    Premature Convergence
    Mask
    Masks
    Genetic algorithms

    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
    File
    quantitative analysis
    taxonomy
    pyrimidines
    purines
    genes

    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., 1 Dec 2019, (Accepted/In press) In : Neural Networks.

    Research output: Contribution to journalArticle

    Least-Squares Analysis
    Classifiers
    Benchmarking
    Magnetic resonance
    Learning

    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

    Multilayers
    Neural Networks (Computer)
    Decision making
    Multilayer neural networks
    Learning

    Activities 2019 2019

    • 3 Invited talk

    Optimal Knowledge Set Generation Using Multiobjective Genetic Algorithm

    HARI MOHAN PANDEY (Speaker)
    27 Dec 201929 Dec 2019

    Activity: Talk or presentation typesInvited talk