Federated Learning in Metaverse Healthcare: Personalized Medicine and Wellness explores the integration of the metaverse with healthcare, offering immersive experiences and personalized care. The book introduces federated learning, emphasizing its advantages over traditional centralized machine learning in healthcare. It provides a historical context and discusses the technological advancements that led to the emergence of metaverse healthcare. Privacy-preserving methods crucial for protecting sensitive healthcare data within federated learning environments are also examined, underscoring the importance of secure communication protocols. Other important points include the transformation of healthcare delivery through virtual environments, remote consultations, and immersive experiences.
The role of telemedicine in facilitating remote diagnostics and consultations via virtual platforms, and the applications of augmented reality wearables for real-time health monitoring and wellness tracking are detailed. Additionally, the book discusses federated learning's ability to deliver personalized treatment plans tailored to individual patient needs, its role in predictive modeling for disease risks and prevention, as well as virtual health coaches offering personalized guidance for wellness management. The challenges and ethical dilemmas of metaverse healthcare and federated learning, along with potential solutions, are also considered.
Mahajan, Shubham: -
Dr. Paras Chawla is an accomplished academic and researcher with over 24 years of experience across academia, research, industry, and administration. He holds a B.Tech. (Honors) and M.Tech. from Kurukshetra University and NIT Kurukshetra, and a Ph.D. from Thapar University, Patiala. Additionally, he completed a year-long Post Graduate Program in AI and ML from Purdue University, USA, along with a master's course from IBM. He is recently completed Post Doc Fellowship (PDF) in computer vision from Lincoln University, Malaysia. Currently, he serves as Professor & Director at Amity School of Engineering & Technology and Amity Institute of Information Technology, Amity University Haryana. His leadership journey includes roles like Zonal Head for IT Academics, Associate Dean, and Head of Departments, steering successful national and international accreditations. Dr. Chawla has guided 11 Ph.D. theses, 25 M.Tech. dissertations, and over 55 B.Tech. projects across various domains. His research expertise spans reconfigurable antennas, AI, machine learning, data science, 5G communications, and healthcare applications. He has published over 120 papers, including 92 SCI/Scopus indexed articles, and holds 24 patents, 15 of which have been granted. Notable achievements include receiving the prestigious Coventor Scholarship Award from MANCEF, New Mexico, and the Tenderfoot Award from NASA for his work in CanSat competitions. His innovations extend to AI and computer vision in transport and service robots, 3D-printed humanoid robots, and AI-driven educational methods.
Dr. Chawla's visionary leadership and groundbreaking work continue to make significant contributions to both academic and technological advancements.
Moy Chatterjee, Jyotir: -
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.
