Hari Mohan Pandey

Hari Mohan PandeyDr. Hari Mohan Pandey 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, languae 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" 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 worked as a research fellow in 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 and reference data sets, to lead and manage relevant work packages in support of the Project, ensuring appropriate interfacing with partners. Read More Read Less

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Advances in Artificial-Business Analytics and Quantum Machine Learning37 %
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Advances in Artificial-Business Analytics and Quantum Machine Learning37 %
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Applications of Artificial Intelligence and Machine Learning37 %
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Advances and Applications of Artificial Intelligence & Machine Learning37 %
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Applications of Artificial Intelligence and Machine Learning37 %
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Proceedings of International Conference on Machine Intelligence and Data Science Applications37 %
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Proceedings of International Conference on Machine Intelligence and Data Science Applications37 %
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Analyzing and Mitigating Security Risks in Cloud Computing44 % NR
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Improving Security, Privacy, and Trust in Cloud Computing43 % NR
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Improving Security, Privacy, and Trust in Cloud Computing4 % NR
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Analyzing and Mitigating Security Risks in Cloud Computing4 % NR
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State of the Art on Grammatical Inference Using Evolutionary Method41 % NR
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Object -Oriented Programming C++ Simplified17 %
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Design Analysis and Algorithms16 %
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Trouble Free C (Book for C Programming)25 %
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Data Structure and Algorithm7 %
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Intelligent Solutions for Smart Adaptation in Digital Era: Select Proceedings of InCITe 2024, Volume 2
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Trouble Free C++26 %
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Java Programming23 %
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2011
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