Dr Loveleen Gaur
Golden Gate University, IMT, Symbiosis International University
About
Dr. Loveleen Gaur is an internationally recognized scholar and academic leader in artificial intelligence, data science, and responsible AI, with more than twenty years of teaching, research, and doctoral supervision experience across the United States, India, Peru, Fiji, and Malaysia. At Golden Gate University Worldwide, USA, she serves as a PhD Dissertation Committee Chair for the DBA program, mentoring doctoral candidates through topic development, proposal defense, applied research design, and final dissertation completion.
Dr. Gaur holds a PhD in Computer Applications and has authored over 130 peer-reviewed publications in leading international journals, with more than 4,500 citations. Her research spans AI ethics and governance, explainable AI, healthcare AI, data science, and generative AI applications.
She serves as Co-Editor-in-Chief of Communications in Statistics: Case Studies, Data Analysis and Applications published by Taylor & Francis, and holds editorial roles with Frontiers, MDPI, and Springer journals. She is a Senior Member of IEEE, a judge for QS Ranking Education Innovation, and an Assessor with UKRI / Gov.UK.
Employment
-
Golden Gate University Dissertation Committee Chair within the DBA Program at the GGU Worldwide School2026 - Present
-
IMT Visiting Professor2023 - Present
-
Symbiosis International University Director
-
University of the South Pacific Adjunct Professor
-
Taylor's University Adjunct Professor
-
Amity University Professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (102)
- Agentic Artificial Intelligence for Information Fusion Save
- From Code to Conscience Save
- Generative AI's Impact on the Hospitality Industry Save
- Promises, Opportunities, and Challenges Save
- Editorial: Advancements of deep learning in medical imaging for neurodegenerative diseases Save
- Sustainability Metrics and Measurement in Industry 4.0-Enabled SCM Save
- Amyotrophic Lateral Sclerosis (ALS) Monitoring Using Explainable AI Save
- Ethical Considerations: Case Scenarios Save
- Explainable Artificial Intelligence (XAI) on Neurogenerative Diseases Save
- Securing the Digital Supply Chain Cyber Threats and Vulnerabilities Save