Autor/-in: Loveleen Gaur

Dr Loveleen Gaur. is a senior academic, researcher, and international examiner with over two decades of experience in higher education, doctoral supervision, and research evaluation. She holds a PhD in Computer Applications and specializes in Artificial Intelligence, Generative AI, Data Science, and Business Analytics, with strong interdisciplinary applications across management, healthcare, and digital systems. She currently serves as Faculty Lead of the Doctoral Program in Deep Technologies at Universidad Nacional Mayor de San Marcos, Lima, Peru, and as Dissertation Committee Chair of the DBA Program at Golden Gate University Worldwide, San Francisco, USA. She is also Research Professor at Alliance University, Bengaluru, India, and Adjunct Professor at the University of the South Pacific, Fiji. In addition, she serves as an Assessor for Innovate UK (UK Research and Innovation) and as a Judge for the QS Reimagine Education Awards. Earlier, as Professor at Amity University, India, she founded its postgraduate programs in AI and Business Analytics. Dr Gaur has served as an External PhD Examiner and doctoral committee member for several international universities, including Taylor's University, Malaysia; Auckland University of Technology, New Zealand; Alliance University, India; and the Symbiosis Centre for Research and Innovation. She has an extensive publication record, with more than 150 research outputs and over 5,000 citations in high-impact journals indexed in Scopus and Web of Science, and has authored and edited multiple scholarly books with leading publishers such as Elsevier, Springer, Taylor & Francis, Wiley, and IGI Global. She serves as Co-Editor-in-Chief of Communications in Statistics: Case Studies. , Data Analysis and Applications. (Taylor & Francis) and as Series Editor of Concise Introductions to AI and Data Science. (Wiley-Scrivener), along with several editorial and reviewer roles across reputed international journals. Recognized globally for her research impact, Dr Gaur is listed among the Elsevier and Stanford University World's Top 2% Scientists (2024 and 2025) and is a Senior Member of IEEE.