If you made any changes in Pure these will be visible here soon.

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.

  • 2 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/ReportBookResearchpeer-review

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 journalArticleResearchpeer-review

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 journalArticleResearchpeer-review

Open Access
File
quantitative analysis
taxonomy
pyrimidines
purines
genes

Analysis of Boolean functions based on Interaction graphsand 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
Decomposition
Yeast
Cells
Systems Biology

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

Benyou Wang, 21 Feb 2019, In : Neural Computing and Applications.

Research output: Contribution to journalArticleResearchpeer-review

Semantics
Thesauri
Experiments

Activities 2019 2019

  • 1 Invited talk