Overview

Bridging academia and industry through cloud integration in education is revolutionizing how students and professionals collaborate, learn, and innovate. Cloud-based platforms enable seamless access to resources, tools, and real-world data, creating an interconnected learning environment bridging the gap between theoretical knowledge and industry practices. By utilizing cloud technology, educational institutions can offer flexible, cost-effective solutions, while industry partners gain access to a skilled talent pool equipped with the latest tools and methodologies. Further exploration may enhance experiential learning and prepare students for a growing digital workplace. Bridging Academia and Industry Through Cloud Integration in Education examines the intersection of cloud technology, education, and employment in the contemporary digital landscape. It explores how acquiring and enhancing cloud-related skills can play a pivotal role in empowering individuals for success in both educational and professional spheres. This book covers topics such as digital technology, personalized learning, and blockchain, and is a useful resource for academicians, educators, computer engineers, data scientists, researchers, and security professionals.

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Parikshit Mahalle 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 continued 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.

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