Frontiers in Engineering, Science and Technology (Paperback)

This book presents a curated collection of peer-reviewed research contributions emerging from the International Conference on Frontiers in Engineering, Science, and Technology (ICONFEST 2025). It highlights contemporary innovations, interdisciplinary approaches, and transformative technologies that are shaping the future of engineering and applied sciences.

The volume brings together diverse research works spanning computer science, electrical and electronics engineering, mechanical and manufacturing systems, civil and environmental engineering, and materials science. It emphasizes the growing significance of interdisciplinary collaboration in addressing complex real-world challenges. Key themes include artificial intelligence and machine learning applications, intelligent infrastructure, renewable and sustainable energy systems, and advancements in smart manufacturing technologies. The book captures cutting-edge methodologies, experimental findings, and practical implementations, reflecting both theoretical advancements and industry-driven innovations. By integrating perspectives from academia and industry, it demonstrates how convergent research can foster sustainable development and technological progress across multiple domains.

This book is intended for researchers, academicians, industry professionals, and postgraduate students engaged in engineering, applied sciences, and emerging technologies. It serves as a valuable reference for those seeking insights into current research trends, interdisciplinary innovations, and practical solutions to contemporary engineering challenges.

Sitanath Biswas is the Head of the Departments of CST and AIML at JIS College of Engineering, with over 20 years of experience in teaching, research, and academic administration. He holds a Ph.D. in Computer Science and Engineering and is a certified Change Management Professional (CMI). His expertise lies in Artificial Intelligence, Machine Learning, and Natural Language Processing (NLP). He has authored over 20 research publications, published 7 books, and holds around 20 Indian patents. A committed academic leader, Dr. Biswas is known for driving innovation, fostering research, and bridging theoretical knowledge with practical applications in emerging technologies.

Sayan Chakraborty is an Assistant Professor in the Department of Computer Science and Technology at JIS College of Engineering, Kalyani, West Bengal. He earned his Ph.D. in Image Registration from Sikkim Manipal University in 2023 and holds both M.Tech and B.Tech degrees from JIS College of Engineering. With over 11 years of academic experience, he also worked as a Visiting Engineer at Global Biomedical Technologies, California, USA. His research interests include medical image processing, nature-inspired algorithms, and machine learning. He has published over 65 research papers, served on editorial boards, and is a Senior Member of IEEE.