Dr. Hari Mohan Pandey

Qualifications
  • Ph.D. (Computer Science and Engineering) – “Grammatical Inference using an Optimal Genetic Algorithm”
  • M.Tech. Computer Engineering – “Context Free Grammar Induction using Evolutionary Algorithms”
  • B.Tech. (Computer Science and Engineering)
  • Visiting Research Fellow Middlesex University London
 Dr. Hari Mohan Pandey 
Research Contact Teaching
Machine Learning, Soft Computing Techniques, Deep Learning, Algorithms Development, Problem Solving using Optimization Algorithms, Evolutionary Algorithms.

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Dr. Hari Mohan Pandey
Department of Computer Science
Edge Hill University
Ormskirk
Lancashire
L39 4QP

Phone: 01695 65 7411
Email: Hari Mohan Pandey
Office: THF16

  • Fundamentals of Web Coding
  • Mobile Web Application and Games Development

Bio

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.

External Academic Activities

Editorial :
  • Guest Editor for Neural Computing and Applications, Springer: “Special Issue on Hybrid Artificial Intelligence and Machine Learning Technologies in Intelligent Systems”.
  • Guest Editor for Intelligent Decision Technology, IOS Press: “Special Issue on Application of Metaheuristic Algorithms in Machine Learning and Artificial Intelligence Paradigms”.
  • Guest Editor for Int. J. of Advanced Intelligence Paradigms, Inderscience: “Special Issue on “Soft Computing Application and Reviews”.
  • Guest editor for Int. J. of Artificial Intelligence and Soft Computing, Inderscience: “Special Issue on: “The Impact of Soft Computing Methods in Software Engineering and Big Data”.
  • Guest Editor for WSEAS Transaction on Systems – Special Issue on Self Adaptive System and Autonomic Machine Learning.
Conference Program Chair:
  • 3rd International Congress on Algorithms and Computation, 18-19 October 2018, Bangkok, Thailand.
  • 1st International Conference on Smart Computing and Informatics, 3-4 March 2017, India
  • 3rd International Conference on Computers and Communication Technologies (IC3T-2016), 28-29 October 2016, India
  • 3rd International Conference on Information System Design and Intelligent Applications, Jan 8-9, 2016, Visakhapatnam, India.
  • The International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS), 2012 World Congress (WorldComp’12), Las Vegas, Nevada, USA.
Keynotes:
  • Intl Conf on Inter Disciplinary Research in Engineering and Technology 16 The ICIDRET 2016 (International Conference on Inter Disciplinary Research in Engineering and Technology), is happening in New Delhi India.
Reviewer in Journals:
  • Computers & Electrical Engineering Journal, Elsevier.
  • EURASIP Journal on Image and Video Processing, Springer.
  • IEEE Transaction on Systems, Man and Cybernetics: Systems.
  • IEEE Communications Magazine
  • Cluster Computing, Springer
  • International Journal of Advanced Robotic Systems, SAGE
  • Neural Computing and Applications, Springer
  • IEEE Transactions on Evolutionary Computation.
  • Evolutionary Computing, Springer

Research Publications

Peer Reviewed Journals Papers:
  • K. Bhattacharjee, S. Kumar, H. M. Pandey and M. Pant. “An Improved Block Matching Algorithm for Motion Estimation in Video Sequences and Robotics”. Computer and Electrical Engineering, Elsevier (2018), ISSN: 0045-7906.
  • H. M. Pandey, A. Chaudhary and D. Mehrotra “Bit Mask Oriented Genetic Algorithm for Grammatical Inference and Premature Convergence”. International Journal of Bio-Inspired Computation (2018), ISSN: 1758-0366.
  • H.M. Pandey, A. Chaudhary, and D. Mehrotra. “Grammar induction using bit masking oriented genetic algorithm and comparative analysis.” Applied Soft Computing 38 (2016): 453-468, ISSN 1568-4946.
  • H. M. Pandey, A. Chaudhary, D. Mehrotra and G. Kendall “Maintaining regularity and generalization in data using the minimum description length principle and genetic algorithm: Case of grammatical inference.” Swarm and Evolutionary Computation 31 (2016), pp. 11-23, ISSN 2210-6502.
  • H. M. Pandey, A. Chaudhary and D. Mehrotra. “A comparative review of approaches to prevent premature convergence in GA.” Applied Soft Computing 24 (2014): 1047-1077, ISSN 1568-4946.
  • H. M. Pandey. “Is Parameters Quantification in Genetic Algorithm Important, How to do it?.” IAES International Journal of Artificial Intelligence (IJ-AI) 6.3 (2017): 112-123.
  • H. M. Pandey. “Genetic Algorithm for Grammar Induction and Rules Verification through a PDA Simulator.” IAES International Journal of Artificial Intelligence (IJ-AI) 6.3 (2017): 100-111.
  • H. M. Pandey. “Performance evaluation of selection methods of genetic algorithm and network security concerns.” Procedia Computer Science 78 (2016): 13-18, Impact Factor = 0.709.
  • H. M. Pandey. “Advances in ambiguity detection methods for formal grammars.” Procedia Engineering 24 (2011): 700-707.
  • N. S. Choubey, H. M. Pandey and M. U. Kharat. “Developing genetic algorithm library using Java for CFG induction.” International Journal of Advancement in Technology (2011), http://ijict.org/ ISSN 0976-4860 Vol 2, No 1
  • D. Gill and H. M. Pandey. “Approaches for Software Performance Modelling, Cloud Computing and Openstack.” International Journal of Computer Applications 119.22 (2015).
  • S. Saini and H. M. Pandey. “Review on web content mining techniques.” International Journal of Computer Applications 118.18 (2015).
  • H. M. Pandey. “Natural language grammar induction using genetic and parallel genetic algorithms and load balancing.” Int. J. Comput. Sci. Technol 1.1 (2012): 28.
  • H. M Pandey. “A case study on ambiguity detection method using some set of grammars.” Pac. J. Sci. Technol 13.1 (2012): 277-286.
  • N. Panwar, N. Vala, K. Rajpa and H. M. Pandey. “Developing 3D Game for Android OS:” SNAFDROID”.” International Journal of Machine Learning and Computing 2.5 (2012): 689.
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    Peer Reviewed Conference Papers:
  • H. M. Pandey and D. Windridge. “A genetic deep learning model for electrophysiological soft robotics.” In: 8th International Workshop on Soft Computing Applications 13-15 September 2018, Arad, Romania.
  • H.M. Pandey and D. Windridge. “A Comprehensive Classification of Deep Learning Libraries” in Third International Congress on Information and Communication Technology, Feb 27-28, 2018. Brunel University, London, U.K.
  • H. M. Pandey, M. Rajput and V. Mishra. “Performance Comparison of Pattern Search, Simulated Annealing, Genetic Algorithm and Jaya Algorithm.” Data Engineering and Intelligent Computing. Springer, Singapore, 2018. 377-384.
  • M. Shahnawaz, K. Saxena, H. M. Pandey. “Analysis & Design of Data Farming Algorithm For Cardiac Patient Data”. 8th International IEEE Conference CONFLUENCE 2018: Cloud Computing, Data Science and Engineering.
  • D. K. Roy and H.M. Pandey. “A New Clustering Method using an Augmentation to the Self Organizing Maps”. 8th International IEEE Conference CONFLUENCE 2018: Cloud Computing, Data Science and Engineering.
  • H. M. Pandey. “Genetic Algorithm and Particle Swarm Optimization: Analysis and Remedial Suggestions.” Computer Communication, Networking and Internet Security. Springer, Singapore, 2017. 437-441.
  • H. M. Pandey and N. Jain. “Performance Evaluation of Reproduction Operators in Genetic Algorithm.” Computer Communication, Networking and Internet Security. Springer, Singapore, 2017. 451-460.
  • H. M. Pandey, A. Shukla, A. Chaudhary and D. Mehrotra. “Evaluation of genetic algorithm’s selection methods.” Information Systems Design and Intelligent Applications. Springer, New Delhi, 2016. 731-738.
  • H. M. Pandey, A. Chaudhary, D. Mehrotra and Y. Zhang. “The BMODS: A powerful 2-D representation scheme for the GA’s population”. In Cloud System and Big Data Engineering (Confluence), 2016 6th International Conference (pp. 51-52).
  • H. M. Pandey. “Parameters quantification of genetic algorithm.” Information Systems Design and Intelligent Applications. Springer, New Delhi, 2016. 711-719.
  • H. M. Pandey and A. Gajendran. “Function Optimization Using Robust Simulated Annealing.” Information Systems Design and Intelligent Applications. Springer, New Delhi, 2016. 347-355.
  • H. M. Pandey. “Jaya a novel optimization algorithm: What, how and why?”. In Cloud System and Big Data Engineering (Confluence), 2016 6th International Conference (pp. 728-730). IEEE.
  • H. M. Pandey. “Solving lecture time tabling problem using GA”. In Cloud System and Big Data Engineering (Confluence), 2016 6th International Conference (pp.45-50). IEEE.
  • S. Sharma and H. M. Pandey. “Genetic Algorithm, Particle Swarm Optimization and Harmony Search: A quick comparison.” In Cloud System and Big Data Engineering (Confluence), 2016 6th International Conference (pp. 40-44). IEEE.
  • G. Ahalya and H. M. Pandey. “Data clustering approaches survey and analysis”. In Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on (pp. 532-537). IEEE.
  • A. Shukla, H. M. Pandey and D. Mehrotra. “Comparative review of selection techniques in genetic algorithm”. In Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on (pp.515-519). IEEE.
  • H. M. Pandey. “Reward Feedback and Success for Inspiring Creative Minds: An Inspirational Model.” Journal of Engineering Education Transformations (2015): 47-51.
  • P. A. Prakashbhai and H. M. Pandey. “Inference patterns from Big Data using aggregation, filtering and tagging-A survey”. In Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference- (pp. 66-71). IEEE.
  • Y. Agarwal and H. M. Pandey. “Performance evaluation of different techniques in the context of data mining-A case of an eye disease”. In Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference- (pp. 72-76). IEEE.
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    Books (Text/Reference):
  • Robust Engineering Experiment Design: Theory and Practice: A Systematic Way to Engineering Experiment Design” Scholars’ Press, Germany, ISBN 978-3659841064, 2016.
  • Object Oriented Programming C++ Simplified” University Science Press, New Delhi, ISBN 978-9381159507, 2015.
  • Exploring Genetic Algorithm’s Selection Approaches, Scholars’ Press, Germany, ISBN 978-3639769326, 2015.
  • Java Programming, Pearson Education Press, New Delhi, ISBN 978-8131733110, 2011.
  • Trouble Free C: A book for C Programming, University Science Press, New Delhi, ISBN 978-8131805374, 2017.
  • Trouble Free C++”, Ane Book Pvt. Ltd., New Delhi, ISBN 978-9380156620, 2010.
  • Data Structure and Algorithm” University Science Press, New Delhi, ISBN 978-8131807705, 2009.
  • Design analysis and algorithm” University Science Press, New Delhi, ISBN 978-8131803349, 2008.
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    Patents:
  • TAG System: A Novel Approach to the Process Authentication”. Application No:167/DEL/2016 (published).
  • Method and system for IoT based setting of display properties of the display device (published soon online).
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    Thesis:
  • H. M. Pandey, Ph.D. Thesis 2016. “Context Free Grammar Induction from a Set of Corpora Using an Optimal Genetic Algorithm.”, Supervised by Prof. Deepti Mehrotra (Amity University, India) and Prof. Ankit Chaudhary (University of Missouri- St. Louis, USA).
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