Machine Learning in Nanoscale Materials Design

Dr Kritesh Kumar Gupta is an Assistant Professor at the School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India. He holds a PhD (specialising in machine learning driven nanoscale design of materials) in engineering from the National Institute of Technology Silchar, India. Dr. Gupta specializes in developing cutting-edge computational frameworks that integrate atomistic simulations with artificial intelligence frameworks to accelerate materials design. His expertise in advanced machine learning and deep learning techniques is pivotal in advancing materials design and discovery. He has contributed significantly to the field through high-impact publications and presentations on national and international platforms. He has authored/coauthored 25+ journal papers, and 10+ conference papers. He is an associate member of professional bodies such as the Institution of Engineers, India (IEI), and the Institute of Physics (IOP). His current research focuses on deploying the pioneering concepts in AI-driven materials science, particularly in designing nano-engineered function-specific material systems. 

Dr. Sudip Dey is an Associate Professor at the Mechanical Engineering Department of the National Institute of Technology Silchar, India. He holds a bachelor's degree in mechanical engineering from Jadavpur University, India, and a Ph.D. in engineering from the same institution. Dr. Dey's expertise in mechanics, design, and materials has been shaped by his international experiences, including post-doctoral research at Leibniz-Institut für Polymerforschung Dresden e. V., Germany, and Swansea University, United Kingdom. With over 20 years of experience in research, teaching, and industrial endeavours, Dr Dey is a leading figure in uncertainty quantification (UQ) and has authored the influential book "Uncertainty Quantification in laminated composites: A meta-model based approach." His research interests span molecular dynamics, tribology, metamaterials, and digital twin, contributing significantly to the field through publications in prestigious international journals and conferences. 

Dr. Tanmoy Mukhopadhyay is appointed as a Senior Lecturer (LB) and leads the Programmable Matter Lab at the University of Southampton, UK. His academic journey is marked by notable positions at esteemed academic institutions worldwide. Before joining the University of Southampton, Dr. Mukhopadhyay held a role as an Assistant Professor in the Aerospace Engineering Department of IIT Kanpur. Prior to that, he made significant contributions to the field of metamaterial intelligence as a postdoctoral research fellow at the University of Oxford, UK. Dr Mukhopadhyay completed his PhD at Swansea University, UK, where his exceptional research was recognised through the award of Best PhD in engineering (gold medal). His research interests and expertise broadly lie in the field of mechanics and multi-physics analysis, focusing on mechanical metamaterials and advanced functional composites at multiple length scales that involve cutting-edge developments at the intersection of artificial intelligence, advanced physics-informed simulation and materials science. He is actively involved in shaping the research directions in aerospace and mechanical engineering through his contributions as an editorial board member of multiple prestigious journals like Artificial Intelligence Review, Space: Science & Technology, Scientific Reports, Discover Applied Sciences, Reviews on Advanced Materials Science, Discover Materials, Journal of Composites Science, Frontiers in Nanotechnology etc. along with multiple international conferences.