This book is a collection of best-selected research papers presented at International Conference on Smart Cyber Physical Systems (ICSCPS), organized by CHRIST (Deemed to be University) Delhi-NCR Campus, India, in January 2026. The book covers recent research in cyber physical system's foundational principles, from mathematical modeling and control theory to real-time systems and cyber-security. With a focus on communication and networks, readers will gain insights into the critical aspects of data exchange and connectivity in CPS, including wireless communication, IoT integration, and network security.

Presents recent research in smart cyber-physical systems Discusses the outcomes of ICSCPS 2026, held in CHRIST (Deemed to be University) Delhi-NCR Campus Serves as a reference resource for researchers and practitioners in academia and industry

Autorentext

Dr. Ramesh Chandra Poonia is a Professor at the Department of Computer Science, CHRIST (Deemed to be University), India. He holds a double Postdoctoral Fellowship, first from the Cyber- Physical Systems Laboratory Lab, Department of ICT and Natural Sciences, Norwegian University of Science and Technology - NTNU, Norway and second fellowship on the Collaborative Project of Oakland University USA, and Imam University, Saudi Arabia. He obtained his PhD in Computer Science from Banasthali University, Banasthali, India, in July 2013. He received his MTech in DSE from Birla Institute of Technology and Science, Pilani, India. He has authored over 126 journal and conference articles, edited 11 books/conference proceedings. He is the main guest editor of more than 30 special issues of journals including Springer, Taylor and Francis, Inderscience, IGI Global and Elsevier.

Dr. Sugam Sharma is a data scientist and currently, working as system analyst III for Center for survey Statistics and Methodology, Iowa State University. He obtained his PhD in Computer Science from Iowa State University, USA in 2013. His research interests include BIG DATA, Cloud Computing, Multidimensional Databases, GIS Technology, Sensor Network, and Smart Home Technology. Previously, he also has served as Assistant Professor, software consultant for NAVTEQ Inc., and JAVA developer at Ames Laboratory, USA. Dr Sharma also holds MS in Computer Science from Jackson State University, Mississippi, USA and BE in Computer Science from Roorkee, India.

Ibrahim A. Hameed is a Full Professor and Head of the Robotics Research Group at the Norwegian University of Life Sciences (NMBU), Norway. He is also an Adjunct Professor at VSB Technical University of Ostrava, Czech Republic, and a Golden Jubilee Honorary Professor at De La Salle University (DLSU), Philippines. Hameed holds a BSc and MSc in Industrial Electronics and Control Engineering from Menoufia University, Egypt, a PhD in Industrial Systems and Information Engineering from Korea University, South Korea, and a PhD in Mechanical Engineering from Aarhus University, Denmark. He is an IEEE Senior Member and a former Chair of the IEEE Computational Intelligence Society (CIS), Norway Section. His research interests include artificial intelligence, machine learning, optimization, control systems, and robotics, with a particular focus on intelligent and autonomous systems. He has extensive teaching and research experience from Aalborg University and the University of Southern Denmark (SDU) in Denmark, as well as the Norwegian University of Science and Technology (NTNU), Norway.

Dr. Kamal Upreti is currently working as an Associate Professor in Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India. He completed is B. Tech (Hons) Degree from UPTU, M. Tech (Gold Medalist) from Galgotias University, PGDM(Executive) from IMT Ghaziabad and PhD from OPJ University in Department of Computer Science & Engineering. Now, he is doing Postdoc from National Taipei University of Business, TAIWAN funded by MHRD. He has published 50+ Patents, 40+ Books, 32+Magazine issues and 70+ Research papers in in various international Conferences and reputed Journals. His areas of Interest are Cyber Security, Machine Learning, Health Care, Wireless Networking, Embedded System and Cloud Computing.

Inhalt

Leveraging Machine Learning and AI for Predictive Security Risk Management and Automated Compliance in Enterprise Risk Governance.- Integrating Generative AI and Green Technology in Enterprise Governance A Framework for Sustainable Digital Transformation.- Deep Learning for Renewable Energy Forecasting and Smart Grid Integration.- Smart Outdoor Multi Sensor Tracker Using ESP32 and Integrated GNSS Thermal and Color Sensing.- FT MoE CB An Interpretable Hybrid Model for Early Detection of Complex Soil Degradation Patterns.