Biographie et livres de Loveleen Gaur

Découvrez tout l'univers de l'auteur en livre numérique

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.

Découvrez tous ses livres

Dernière parution

Ajouter à ma liste d'envies

Explainable Artificial Intelligence for Intelligent Transportation Systems

Loveleen Gaur , Biswa Mohan Sahoo

Springer

2022-08-08

PDF, ePub

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...

179,99 €

En savoir plus

Ebooks de Loveleen Gaur en PDF et EPUB

2 Livre(s)


Ajouter à ma liste d'envies Geospatial Data Science in Healthcare for Society 5.0 Pradeep Kumar Garg , Loveleen Gaur , Martin Kappas , Nitin K. Tripathi 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 PDF, ePub 167,99 € PDF ePub
Ajouter à ma liste d'envies Artificial Intelligence and Machine Learning in Public Healthcare Loveleen Gaur , Kc Santosh 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 PDF, ePub 74,89 € PDF ePub

Les livres numériques peuvent être téléchargés depuis votre librairie numérique ou directement depuis une tablette ou smartphone.

PDF : format reprenant la maquette originale du livre ; lecture recommandée sur ordinateur et tablette
EPUB : format de texte repositionnable ; lecture sur tous supports (ordinateur, tablette, smartphone, liseuse)

Votre support de lecture	Format	Protection	Application
Ordinateur	-EPUB -PDF	DRM Adobe LCP	Compatible lecture en ligne (streaming) Adobe Digital Editions(DRM Adobe) Thorium Reader (LCP)
Tablette et smartphone iOS / Android	EPUB PDF	LCP DRM Adobe	Application Louise Reader : IOS / Android(ne lit pas les fichiers protégés par Adobe DRM) Adobe Digital Edition : IOS/Android(Lit uniquement la DRM Adobe)
Liseuse	EPUB	DRM Adobe	Module de lecture de la liseuse
Liseuse Diva	EPUB	LCP DRM Adobe	Module de lecture de la liseuse Diva

Consultez l’aide pour en savoir plus.