Dr. Loveleen Gaur is a globally recognized scholar in artificial intelligence, data science, and responsible AI, with twenty years of university teaching experience spanning the United States, India, Peru, Fiji, and Malaysia. At GGU Worldwide, she serves as a Dissertation Committee Chair in the DBA program, guiding doctoral candidates through topic proposal, proposal defense, and final dissertation, with subject-matter expertise in Generative AI and data science research.

Dr. Gaur holds a PhD in Computer Applications and has authored more than 130 peer-reviewed publications in journals including Frontiers in Neuroscience, Information Sciences, Multimedia Systems, ACM Transactions on Multimedia Computing, Communications, and Applications, and the Journal of Innovation & Knowledge, attracting more than 4,500 citations. Her research focuses on AI ethics and governance, explainable AI, healthcare AI, and generative AI applications. She serves as Co-Editor-in-Chief of Communications in Statistics: Case Studies, Data Analysis and Applications (Taylor & Francis)  with additional editorial roles at Frontiers, MDPI, and Springer journals. A Senior Member of IEEE, Dr. Gaur has delivered keynotes and invited lectures across IEEE, Springer, and IGI Global conferences. She also holds faculty appointments at Universidad Nacional Mayor de San Marcos (Peru), Alliance University (India), and the University of the South Pacific (Fiji), among others.