Parikshit Mahalle

Parikshit MahalleDr Parikshit is a senior member IEEE and is Professor, Head of Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark and continud as Post Doc Researcher at CMI, Copenhagen, Denmark. He has 23 + years of teaching and research experience. He is a member of the Board of Studies in Computer Engineering, Ex-Chairman Information Technology, Savitribai Phule Pune University and various Universities and autonomous colleges across India. He has 12 patents, 200+ research publications (Google Scholar citations-2500 plus, H index-23 and Scopus Citations are 1300 plus with H index -16, Web of Science H index - 10) and authored/edited 50+ books with Springer, CRC Press, Cambridge University Press, etc. He is editor in chief for IGI Global -International Journal of Rough Sets and Data Analysis, Inter-science International Journal of Grid and Utility Computing, member-Editorial Review Board for IGI Global - International Journal of Ambient Computing and Intelligence and reviewer for various journals and conferences of the repute. His research interests are Machine Learning, Data Science, Algorithms, Internet of Things, Identity Management and Security. He is guiding 8 PhD students in the area of IoT and machine learning and recently, FIVE students have successfully defended their PhD under his supervision. He is also the recipient of "Best Faculty Award" by Sinhgad Institutes and Cognizant Technologies Solutions. He has delivered 200 plus lectures at national and international level. Read More Read Less

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Edge Artificial Intelligence45 %
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AI, IoT, Big Data and Cloud Computing for Industry 4.037 %
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Foundations of Mathematical Modelling for Engineering Problem Solving37 %
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Cognitive Computing for Machine Thinking37 %
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Data Centric Artificial Intelligence: A Beginner’s Guide37 %
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ICT for Intelligent Systems37 %
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ICT for Intelligent Systems37 %
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ICT for Intelligent Systems37 %
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ICT for Intelligent Systems37 %
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ICT for Intelligent Systems37 %
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Data Centric Artificial Intelligence: A Beginner’s Guide37 %
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Data Science for Civil Engineering
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IOT with Smart Systems37 %
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Foundations of Mathematical Modelling for Engineering Problem Solving37 %
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Predictive Analytics for Mechanical Engineering: A Beginners Guide36 %
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AI, IoT, Big Data and Cloud Computing for Industry 4.037 %
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ICT with Intelligent Applications37 %
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ICT for Intelligent Systems37 %
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IOT with Smart Systems37 %
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ICT with Intelligent Applications37 %
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