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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 2014 2019

  • 12 Article
  • 5 Conference proceeding (ISBN)
  • 3 Book
  • 1 Other contribution

A Distant Supervision Method based on Paradigmatic Relations for Learning Word Embeddings

Li, J., Hu, R., Liu, X., Tiwari, P., Pandey, H., Chen, W., Jing, Y. & Yang, K., 21 Feb 2019, In : Neural Computing and Applications.

Research output: Contribution to journalArticleResearchpeer-review


A Modified Whale Optimization Algorithm with Multi-Objective Criteria for Optimal Robot Path Planning

PANDEY, HARI. MOHAN., 5 May 2019, 1 p.

Research output: Other contributionResearchpeer-review

Motion planning
Data storage equipment

Analysis of Boolean functions based on Interaction graphs and their influence in System Biology

Kumar Rout, R., Maity, S. P., Choudhury, P. P., Kumar Das, J., Hassan, SK. S. & Pandey, H., 2 Mar 2019, In : Neural Computing and Applications.

Research output: Contribution to journalArticleResearchpeer-review

Boolean functions
Systems Biology

Fault Coverage Based Test Suite Optimization Method for Regression Testing: Learning from Mistakes Based Approach

Agrawal, A. P., Choudhary, A., Kaur, A. & Pandey, H., 27 Feb 2019, In : Neural Computing and Applications.

Research output: Contribution to journalArticleResearchpeer-review

Statistical tests

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 journalArticleResearchpeer-review

Open Access
quantitative analysis