As artificial intelligence and autonomous systems reshape industries at an unprecedented pace, Computational Intelligence and Autonomous Systems offers a timely window into the research driving that transformation. Compiling the proceedings of the International Conference on Computational Intelligence and Autonomous Systems (ICIAS) 2025, hosted by Sir Padampat Singhania University, the book brings together contributions from researchers, academicians, and industry practitioners working at the frontier of intelligent computing.Organized across ten thematic tracks, the book offers a structured exploration of topics ranging from Digital Transformation Frontiers and Computational Intelligence Horizons to Quantum Computing and Sustainable Management. Readers will find empirical studies, comparative model analyses, and real-world framework evaluations. The book balances theoretical depth with real-world relevance, translating advanced concepts in AI, robotics, and networking into applications that matter across healthcare, business, and urban systems.This book is a valuable reference for academic researchers, computer scientists, data engineers, software architects, and graduate students working in artificial intelligence, intelligent systems, and robotics. It also serves as an essential reference for tech innovators and industry professionals seeking to deploy sustainable, scalable computational solutions.
Format: Paperback / softback
CONTRIBUTORS: Amit Kumar Goel
EAN: 9781041460190
COUNTRY: United Kingdom
PAGES: 710
WEIGHT:
HEIGHT: 280 mm
PUBLISHED BY: Taylor & Francis Ltd
DATE PUBLISHED: 2026-12-07
CITY:
GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Design, Graphics & Media / CAD-CAM
WIDTH: 210 mm
SPINE:
Book Themes:
Computer-aided design (CAD), Artificial intelligence
Amit Kumar Goel is a distinguished academician and administrator with over 27 years of experience, comprising 24 years in teaching and 3 years in industry. He holds a Ph.D. in Engineering from Birla Institute of Technology, Mesra, along with M.Tech. and B.E. degrees in Computer Science and Information Technology. He currently serves as Dean, School of Engineering & Sciences at Sir Padampat Singhania University, where he leads strategic planning, curriculum development, and academic excellence initiatives.Chandrashekhar Goswami serves as Deputy Dean and Associate Professor in the Department of Computing & Informatics, School of Engineering & Sciences, Sir Padampat Singhania University, Udaipur. He brings over 15 years of teaching, research, and institutional experience. He completed his Ph.D. from the Vellore Institute of Technology (VIT), Vellore, and holds an M.Tech. in Computer Science and Engineering from Chhattisgarh Swami Vivekanand Technical University, an MBA in Human Resource Management, and a B.E. in Information Technology from Rashtrasant Tukadoji Maharaj Nagpur University.Anandkumar Atalbihari Bhaskar is a distinguished researcher specializing in Embedded Systems, Wireless Sensor Networks, and the Internet of Things, with over 19 years of experience in academia and research. His Ph.D. in Electronics (Embedded Systems) from Saurashtra University focused on the design and development of microcontroller-based embedded circuits and applications. He has successfully supervised ten Ph.D. scholars and continues to lead multiple ongoing research projects in energy-efficient wireless sensor networks, IoT security, and real-time data analytics.Rahul Kumar is an accomplished academician and researcher in the Department of Computing & Informatics, School of Engineering & Sciences, Sir Padampat Singhania University. He holds a Ph.D. in Computer Science and Engineering and completed a Postdoctoral Fellowship at the Research Institute of IoT Cybersecurity, National Kaohsiung University of Science and Technology, Taiwan, where his work focused on privacy-preserving feature selection for federated machine learning. With over a decade of teaching and research experience across institutions including Amity University and KL University, his research spans Machine Learning, Federated Learning, and Privacy-Preserving Artificial Intelligence.