Dr. Manjeet Rege is a distinguished academic and industry leader in the fields of data science and artificial intelligence. As a professor and the chair of the Department of Software Engineering and Data Science at the University of St. Thomas, he has made substantial contributions to the academic world, evidenced by his recognition as a Leading Academic Data Leader for 2023 by CDO Magazine. Dr. Rege also serves as the Director of the Center for Applied Artificial Intelligence at the University of St. Thomas, where he oversees initiatives that blend academic research with practical applications in AI. His expertise is acknowledged internationally, demonstrated by the establishment of a chair professorship and analytics lab in his name at Woxsen University in Hyderabad, India, to celebrate his significant contributions in analytics.
As a thought leader, author, mentor, and keynote speaker, Dr. Rege is often featured in the media, offering his expert thoughts and opinions on the latest developments in machine learning and AI. Dr. Rege serves as an advisor to various organizations to provide guidance on data strategy and imparting technical AI expertise. His work has been published in various peer-reviewed reputed publications, he serves on the editorial review board of journals and regularly participates on the program committees of various international conferences. Dr. Hemachandran Kannan is Director of the AI Research Centre and Vice Dean at Woxsen University, India, where he also serves as Course5i Chair Professor of Analytics. A globally recognized AI researcher and innovator, he has authored four books, edited seventeen volumes, and contributed transformative patents spanning healthcare, agriculture, robotics, and smart cities.
His projects include the Unified Healthcare Intelligence System (UHIS), Nano-based Necrobotics, AI-driven smart airports, and quantum-AI forecasting systems. Dr. Kannan is also an advisor to UNESCO, a DeepLearning.AI ambassador, and mentor under India's Atal Innovation Mission, shaping youth-led innovation. His research interests span natural language processing, computer vision, recommender systems, and autonomous robotics, with a strong focus on responsible and ethical AI. Frequently invited to international conferences and advisory boards, Dr. Kannan is committed to advancing.