Mirlabs
Hari Mohan Pandey
Hari Mohan Pandey
Bournemouth University, Bournemouth
Regular Member
Personal Web Site: https://sites.google.com/view/hmpandey/home
Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1483
Short Biography

Hari is in data science and artificial intelligence at school of technology Bournemouth University, UK. He is specialized in Computer Science & Engineering. His research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition, machine learning, deep learning, and computer vision. Hari is the author of various books in computer science engineering (algorithms, programming, and evolutionary algorithms). Recently, Hari’s book entitled “State of the Art on Grammatical Inference Using Evolutionary Method " is published in Elsevier. He has published over 120 scientific papers in reputed journals and conferences. He is serving in the editorial board of reputed journals (including Neural Networks Elsevier, Applied Soft Computing Elsevier, Swarm and Evolutionary Computing Elsevier, Neural Computing and Applications Springer, IEEE Transactions of Evolutionary Computation, IEEE Transactions on Industrial Informatics, Neurocomputing Springer, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems and Knowledge Based Systems Elsevier) as action editor, associate editor, and guest editor. He is reviewer of top international conferences such as GECCO, CEC, IJCNN, BMVC, AAAI etc. He has delivered expert talks as keynote and invited speaker. Hari is a fellow of the HEA of the UK Professional Standards Framework (UKPSF) and have a rich teaching experience at the higher education level. He has given lecturers in the international summer/winter schools. He has been given the prestigious award “The Global Award for the Best Computer Science Faculty of the Year 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. In past, He worked as a sr. lecturer in computer science department at Edge Hill University. He also worked as a research fellow machine learning at the school of technology at Middlesex University London where He worked on a European Commission project- DREAM4CARS. 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 the project, ensuring appropriate interfacing with partners.

To know more visit:

https://sites.google.com/view/hmpandey/home

List of top 5 publications in the last 5 years

§  Sahoo, B.M., Pandey, H.M. and Amgoth, T., 2022. A genetic algorithm inspired optimized cluster head selection method in wireless sensor networks. Swarm and Evolutionary ComputationElsevier 75, December 2022, 101151

§  Pandey, H., Yadav, S., Agarwal, A., Kumar, A., Tiwari, K. and Akbar, S.A., 2022. YogNet: A Two-Stream Network for Realtime Multiperson Yoga Action Recognition and Posture Correction. Knowledge-Based Systems, Elsevier.

§  Ding, Y., Tiwari, P., Zou, Q., Guo, F. and Pandey, H.M., 2022. C-loss based Higher-order Fuzzy Inference Systems for Identifying DNA N4-methylcytosine Sites. IEEE Transactions on Fuzzy Systems.

§  Yang Yang, Guan’an Wang, Prayag Tiwari, H. M. Pandey and Zhen Lei (Accepted/In press). Pixel and Feature Transfer Fusion for Unsupervised Cross-Dataset Person Re-Identification, in IEEE Transactions on Neural Networks and Learning Systems.

§  B. M. Sahoo, H. M. Pandey & T. Amgoth (Accepted/In press). A Genetic Algorithm Inspired Optimized Cluster Head Selection Method in Wireless Sensor Networks, Swarm and Evolutionary Computation, Elsevier.

§  Y. Zhang, Y. Liu, Q. Li, P. Tiwari, B. Wang, Y. Li, H. M. Pandey, P. Zhang and D. Song. CFN: A Complex-valued Fuzzy Network for Sarcasm Detection in Conversations. in IEEE Transactions on Fuzzy Systems.

List of top 5 academic activities during the last 5 years

• Guest Editor for IEEE Transactions on Industrial Informatics, Special Issue on “Computational Intelligence and Human-Computer Interactions for Industrial Applications”.

• Leading Guest Editor for Swarm and Evolutionary Computation, Elsevier: Special Issue on “Quantum Inspired Swarm and Evolutionary Computing Algorithms for Optimization Problems”.

• Leading Guest Editor for Neural Processing Letter, Springer: Special Issue Proposal on "Quantum Inspired Neural Networks for Engineering Optimization.

• Leading Guest Editor for Neural Computing and Applications, Springer: “Special Issue on Hybrid Artificial Intelligence and Machine Learning Technologies in Intelligent Systems”.

• Leading Guest Editor for Intelligent Decision Technology: “Special Issue on Application of Metaheuristic Algorithms in Machine Learning and Artificial Intelligence Paradigms”.

• Leading Guest Editor for Int. J. of Advanced Intelligence Paradigms: “Special Issue on "Soft Computing Application and Reviews".

• Guest editor for Int. J. of Artificial Intelligence and Soft Computing: “Special Issue on: "The Impact of Soft Computing Methods in Software Engineering and Big Data".

• Leading Guest Editor for WSEAS Transaction on Systems - Special Issue on Self Adaptive System and Autonomic Machine Learning.