Harish Garg

Harish GargDr. Garg is one of the pioneer researchers in the world. He ranks in the World's Top 2% Scientist List and Rank #1 in India & World Rank #229 published by Stanford University in the consecutive three years 2020, 2021, and 2022. He is the recipient ofthe Obada-Prize 2022 - Young Distinguished Researchers. He is also the recipient of the Top-Cited paper by an India-based author (2015 - 2019) from Elsevier Publisher. He also serves as an advisory board member of the Universal Scientific Education and Research Network (USERN).
Dr. Garg's research interests include Computational Intelligence, Multi-criteria decision making, Evolutionary algorithms, Reliability analysis, Expert systems, and decision support systems, Computing with words, and Soft Computing. He has authored more than 400 papers (over 350 are SCI) published in refereed International Journals including IEEE Transactions, Elsevier, Springer, etc. He has also authored seven book chapters. Also, he edited 8 books from Elsevier, Springer, and other publishers. His Google citations are over 17650 with an H-index of- 75. Dr. Garg also serves on editorial boards of several leading international journals, this includes the Founding Editor-in-Chief of the Journal of Computational and Cognitive Engineering. He is also the Associate Editor of IEEE Transaction of Fuzzy Systems, Soft Computing, Alexandria Engineering Journal, Journal of Intelligent & Fuzzy Systems, Complex and Intelligent Systems, Journal of Industrial & Management Optimization, CAAI Transactions on Intelligence Technology, etc.

Dr. Garg also shared his knowledge (Teaching as well as Research) with the whole world through their YouTube channel https: //www.youtube.com/c/DrHarishGarg. For more details about him, kindly follow his webpage https: //sites.google.com/site/harishg58iitr/home Read More Read Less

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Innovations in Healthcare Technologies in India38 %
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Advances in Reliability, Failure and Risk Analysis37 %
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Proceedings of the Second Congress on Control, Robotics, and Mechatronics37 %
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Proceedings of the Second Congress on Control, Robotics, and Mechatronics37 %
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Primer to Neuromorphic Computing45 %
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Deep Learning in Personalized Healthcare and Decision Support45 %
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q-Rung Orthopair Fuzzy Sets37 %
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Advances in Reliability, Failure and Risk Analysis37 %
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Recent Advances in Metrology37 %
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Pythagorean Fuzzy Sets37 %
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q-Rung Orthopair Fuzzy Sets37 %
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Reliability Management and Engineering
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Engineering Reliability and Risk Assessment45 %
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Pythagorean Fuzzy Sets37 %
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Hands-On Bitcoin Programming with Python22 %
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Artificial Intelligence in Healthcare1 % NR
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Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making1 % NR
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