Federated Learning in Metaverse Healthcare Personalized Medicine and Wellness

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.

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.