Books & Scholarly Publishing
Dr. Loveleen Gaur’s books translate complex developments in artificial intelligence into structured knowledge for researchers, educators, professionals and decision-makers.
Her publishing portfolio spans responsible and generative AI, deepfakes, healthcare, explainability, digital twins, cybersecurity and data-driven innovation.
Publishing Philosophy
Academic books provide an opportunity to connect emerging technologies with their wider ethical, social, institutional and professional implications.
Dr. Loveleen Gaur’s publishing work brings together researchers and practitioners across artificial intelligence, healthcare, management, data science and responsible innovation.
Her books and edited volumes are designed to make complex knowledge more accessible while supporting new research directions, professional learning and informed technology adoption.
Featured Book
CRC Press / Taylor & Francis
An interdisciplinary examination of synthetic media covering deepfake creation, detection techniques, adversarial image translation, applications, risks and future research directions.
StatusPublished
Selected Works
A curated selection representing the breadth of Dr. Loveleen Gaur’s scholarly publishing. The complete portfolio includes additional authored works, edited volumes and book chapters.
Healthcare AI
Springer
Explores artificial intelligence and explainable methods for understanding, monitoring and supporting research into neurodegenerative diseases.
Public Healthcare
Springer
Examines AI and machine-learning applications across public health, precision medicine, infectious disease, privacy, security and ethics.
Digital Health
IGI Global
Brings together research on digital-twin technologies, healthcare applications, implementation challenges and emerging research opportunities.
Explainable AI
Springer
Connects explainable AI with intelligent transportation, ethical concerns, business models, routing and technology-enabled mobility.
Healthcare Technology
IGI Global
Explores immersive technologies, ethical considerations and emerging applications of the metaverse within healthcare environments.
Bioinformatics
River Publishers
Examines next-generation sequencing, pattern recognition, deep learning and computational approaches to genomic and rare-disease research.
Publishing Themes
The publishing portfolio reflects interdisciplinary scholarship across technical development, responsible practice and applied innovation.
Ethics, transparency, accountability and responsible development of intelligent systems.
Emerging applications, development responsibilities, governance and organizational implications.
Creation methods, detection, adversarial media, societal impact and digital trust.
Artificial intelligence across public health, medical imaging, clinical research and healthcare innovation.
Interpretability, transparency and confidence in AI-supported decisions and systems.
Digital twins, immersive technologies, telemedicine and intelligent healthcare environments.
Analytics, pattern recognition, computational intelligence and applied data methods.
AI-enabled security, digital infrastructure, trustworthy systems and emerging cyber risks.
Forthcoming Work
Forthcoming work responds to rapid developments in generative AI, synthetic media, ethics, governance and responsible technology development.
In Press
CRC Press
A practical examination of ethical responsibilities, risks, governance considerations and responsible development practices for generative AI.
Second Edition in Development
Taylor & Francis
An expanded second edition responding to rapid developments in synthetic media, generative AI, detection methods, governance and digital trust.
Publishing Impact
The publishing portfolio extends across authored books, edited collections, interdisciplinary chapters and international academic collaboration.
Authored, co-authored and edited academic books spanning AI, healthcare, analytics and emerging technologies.
International edited collections bringing together interdisciplinary researchers and practitioners.
Contributions across healthcare AI, explainability, generative AI, cybersecurity and digital innovation.
Books and scholarly contributions published with leading international academic publishers.
Publishing Relationships
Books and scholarly contributions have been developed with leading publishers across artificial intelligence, healthcare, engineering and interdisciplinary research.
Artificial intelligence, responsible technology, deepfakes and professional scholarship.
International academic publishing across AI, technology and interdisciplinary research.
Healthcare AI, explainability, computational intelligence and applied research.
Digital health, generative AI, cybersecurity and emerging technology applications.
Bioinformatics, data science, engineering and advanced computational research.
Artificial intelligence, data science and interdisciplinary technical scholarship.
Related Work
