Dr. Loveleen Gaur is an internationally renowned academic leader, educator, and researcher in the fields of Artificial Intelligence, Generative AI, and Data Analytics. She currently serves as the Director of the Symbiosis Artificial Intelligence Institute (SAII), Symbiosis International University, Pune, where she is spearheading interdisciplinary education and ethical innovation in AI. With over two decades of academic experience, Dr. Gaur has held senior faculty positions at premier institutions in India and abroad. She served as Professor at Amity University and continues to hold honorary adjunct professorships at Taylor’s University (Malaysia) and the University of the South Pacific (Fiji). Her global academic engagements span curriculum design, PhD supervision, research leadership, and strategic international collaborations. In 2024, she was recognized among the World’s Top 2% Scientists by Stanford University and Elsevier for her impactful scholarly contributions. She has authored and edited numerous research books with leading international publishers including Elsevier, Springer, Taylor & Francis, IGI Global, De Gruyter, and River Publishers, and has published extensively in high-impact journals indexed in SCI, Scopus, Web of Science, and ABDC. Her research spans domains such as AI in healthcare, neurodegenerative disease prediction, generative and explainable AI, sustainability, and business intelligence. Dr. Gaur is also Co-Editor of the SCOPUS-indexed Taylor & Francis journal Communications in Statistics – Case Studies, Data Analysis and Applications. She holds multiple editorial roles—Guest Editor, Review Editor, and Topic Editor—for top-tier journals by Springer, MDPI, Frontiers, and others. As a Senior Member of IEEE, she actively contributes to the AI community through thought leadership, international speaking engagements, and advocacy for ethical, inclusive AI practices. Her teaching portfolio includes undergraduate to doctoral courses on Generative AI, Deep Learning, Large Language Models (LLMs), Predictive Analytics, Business Intelligence, Power BI, and Explainable AI. Dr. Gaur is also certified in Agentic AI, AI for Business, and Generative AI Applications through globally recognized programs from IBM, Vanderbilt University, IIT Madras, and the University of Pennsylvania. At SAII, Dr. Gaur is dedicated to shaping the next generation of AI professionals who are not only technically adept but also ethically grounded—bridging AI with societal impact across domains like healthcare, agriculture, education, and industry.
Télécharger le livre :  Generative Artificial Intelligence and Ethics for Healthcare

Generative Artificial Intelligence and Ethics for Healthcare conducts a deep dive into the potential issues and challenges associated withGenerative AI applications. The book begins with foundational concepts of generative AI and then explores ethical theories,...
Editeur : Academic Press
Parution : 2025-09-11

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162,46

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Télécharger le livre :  Intelligent Decision Support Systems for Smart City Applications

INTELLIGENT DECISION SUPPORT SYSTEMS FOR SMART CITY APPLICATIONS This book provides smart city frameworks to address new difficulties by adding new features and allowing the city environment to react to collected data and information to increase the efficiency and...
Editeur : Wiley-Scrivener
Parution : 2022-12-05
Collection : Concise Introductions to AI and Data Science
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112,78

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Télécharger le livre :  Explainable Artificial Intelligence for Intelligent Transportation Systems

Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In...
Editeur : Springer
Parution : 2022-08-08

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158,24

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Télécharger le livre :  Geospatial Data Science in Healthcare for Society 5.0

The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in...
Editeur : Springer
Parution : 2022-03-10
Collection : Disruptive Technologies and Digital Transformations for Society 5.0
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147,69

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Télécharger le livre :  Artificial Intelligence and Machine Learning in Public Healthcare

This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors...
Editeur : Springer
Parution : 2022-01-01

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73,84

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Télécharger le livre :  Cloud and IoT-Based Vehicular Ad Hoc Networks

CLOUD AND IOT-BASED VEHICULAR AD HOC NETWORKS This book details the architecture behind smart cars being fitted and connected with vehicular cloud computing, IoT and VANET as part of the intelligent transport system (ITS). As technology continues to weave itself more...
Editeur : Wiley-Scrivener
Parution : 2021-06-05

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230,99

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