Mr. Amitkumar Khandare is an accomplished academician with a multidisciplinary background in Information Technology, Management, and Economics, with six years of teaching experience in higher education. He holds a B.E. in Information Technology, an MBA, and an M.A. in Economics, and has qualified the UGC-NET examinations in Management, Economics, and Commerce.
His research interests lie at the intersection of Data Science, Artificial Intelligence, Machine Learning, Data Engineering, Big Data Analytics, Business Analytics, Cybersecurity, Blockchain, Neural Networks. His interdisciplinary academic background enables him to integrate technological approaches with business and economic perspectives, with a focus on applying data-driven methods to contemporary organizational and societal challenges.
His teaching interests include Data Science and Machine Learning, Big Data Analytics. He is particularly interested in developing practical and application-oriented learning environments that connect analytical methods, computational technologies, and managerial decision-making.
His research work explores emerging applications of technology across diverse domains, including blockchain-enabled academic credit systems and student mobility, sustainable cloud computing, cybersecurity frameworks, neural networks and the application of mathematical concepts such as knot theory and topology to cybersecurity.
His current research interests include AI/ML applications, responsible and inclusive AI, data-driven decision-making, intelligent educational systems, sustainable computing, blockchain-based systems, cybersecurity analytics, and the convergence of technology with management and economics.