MetaConstructs

Dr. Chiranji Lal Chowdhary is Professor in the School of Computer Science Engineering and Information Systems at Vellore Institute of Technology, India. He has more than 20 years of academic and research experience in artificial intelligence, machine learning, deep learning, computer vision and intelligent systems. His research spans industrial AI, Industry 4.0 technologies, smart healthcare and data-driven decision-making systems. He has published extensively in international journals and conferences and has edited several scholarly volumes. He has supervised doctoral and postgraduate researchers and contributes actively to research evaluation, curriculum development and academic leadership. His expertise in intelligent systems and digital transformation aligns closely with the themes of AI-enabled industrial ecosystems and lifecycle intelligence explored in this book. Dr. Abhishek Ranjan is Deputy Vice Chancellor at Botho University, Gaborone in Botswana. Jyotir Moy Chatterjee is currently an Assistant Professor in Department of Computer Science and Engineering at Graphic Era (Deemed to be University), in Dehradun, India. He also serves as a Visiting Faculty member in Information Technology at Lord Buddha Education Foundation, which is affiliated with the Asia Pacific University of Technology & Innovation in Kathmandu, Nepal. His research interests focus on advancements in Machine Learning and Deep Learning.Dr. Pawan Lingras, is a Professor in the Department of Math and Computing Science, Saint Mary's University, Halifax, Nova Scotia, in Canada.

• Privacy, security, and ethical considerationsArtificial intelligence/machine learning for digital twins enabled metaverseDigital twins in healthcare development of an accurate machine learning model for health monitoring through digital twinsRevolutionizing health care: the role of digital twins in personalized medicineDigital twin and education: a revolutionary pathway to learningBridging real and virtual worlds through digital twins and the metaverse in cultural heritage preservationEnhancing battery safety through digital twinning in electric vehicles and storage systemsConvergence of Metaverse and digital twins: evolution, integration, and future challenges in virtual-physical systemsQuantum computing for digital twins and the metaverseArtificial intelligence/machine learning with digital twin enabled metaverseEnhancing robotic surgery with neuromorphic computing