Proceedings of International Conference on Intelligent Cyber-Physical Systems

Chapter 1. Micro Phasor Measurement Unit (µPMU) in Smart Distribution Network: A Cyber Physical System.- Chapter 2. Emerging role of Intelligent Cyber Physical Systems in monitoring stability of engineered and natural slopes.- Chapter 3. Battery Management System in Smart City: An Application of Cyber Physical System.- Chapter 4. Security of Cyber-Physical Systems through the Lenses of the Dark Web.- Chapter 5. Sustainable and Secure IoT-Chain Architecture Integrated with Blockchain Technology.- Chapter 6. LIMBO: Telecom Signal Strength Coverage In Different Regions.- Chapter 7. Path Extraction and Planning for Intelligent Battlefield Preparation using Particle Swarm Optimization, Gravitational Search Algorithm and Genetic Algorithm.- Chapter 8. Smart Green Roof: A Prototype Towards Sustainable Smart Agriculture.- Chapter 9. Identifying Predictors for Substance Consumption Pattern using Machine Learning Techniques.- Chapter 10. Web-based Simulator for Operating Systems.- Chapter 11. AnAnalysis Study of IoT a DoS Attacks Perspective.- Chapter 12. The Effect of Sampling in the Machine Learning based Malware Analysis.- Chapter 13. Operating System Fingerprinting using Machine Learning.- Chapter 14. Comparing HDD to SSD from Digital Forensic Perspective.- Chapter 15. An Efficient Novel for Soil Fertility Evaluation.

Dr. Basant Agarwal is working as an Assistant Professor at the Indian Institute of Information Technology Kota (IIIT-Kota), India, which is an Institute of National Importance. He holds a Ph.D. and M.Tech. from the Department of Computer Science and Engineering, Malaviya National Institute of Technology Jaipur, India. He has more than 9 years of experience in research and teaching. He has worked as a Postdoc Research Fellow at the Norwegian University of Science and Technology (NTNU), Norway, under the prestigious ERCIM (European Research Consortium for Informatics and Mathematics) fellowship in 2016. He has also worked as a Research Scientist at Temasek Laboratories, National University of Singapore (NUS), Singapore. His research interest is in Artificial Intelligence, Cyber-physical systems, Text mining, Natural Language Processing, Machine learning, Deep learning, Intelligent Systems, Expert Systems and related areas. 



 Professor Azizur Rahman, PhD, is an applied statistician and data scientist with expertise in developing and applying novel methodologies, models and technologies. He is the Leader of the "Statistics and Data Mining Research Group" at Charles Sturt University, Australia. He can assist in understanding multi-disciplinary research issues within various fields, including understanding the individual activities that occur within very complex scientific, behavioural, socio-economic, and ecological systems. Prof. Rahman develops "alternative methods in microsimulation modelling technologies", which are handy tools for socio-economic policy analysis and evaluation. He has more than 120 publications, including a few books. His 2020 and 2016 books have contributed significantly to the fields of "data science and policy analysis" and "small area estimation and microsimulation modelling", respectively. The Australian Federal and State Governments fund his research, and he serves on a range of editorial