Edge Intelligence in Cyber-Physical Systems: Foundations and Applications provides a comprehensive overview of best practices for building edge intelligence into cyber-physical systems. This book covers the foundations and applications of synergizing machine learning at the edge of CPS, leveraging an edge computing infrastructure. Divided into four parts, the first section of the book reviews the foundations, principles, and representative application domains of CPS. The second part covers machine learning, edge computing, and their needs in CPS, defining edge intelligence and its principles, challenges, and research directions. The third part presents tutorials and foundational research works on realizing edge intelligence in representative CPS. The fourth part explores the problem space of threats and countermeasures in building edge intelligence into CPS. Researchers, graduate students and professionals in computer science, data science, and electrical engineering will find this to be a valuable resource on the principles and applications of edge intelligence in cyber-physical systems as well as the development of interdisciplinary techniques to advance the field.
- Provides comprehensive overview of CPS design challenges and representative application domains
- Introduces the principles of machine learning and edge computing and their applications in cyber-physical systems
- Explores edge intelligence applications as well as complete case studies of problem formalization, method/algorithm design, and performance evaluation
Dr. Wei Yu is a professor at the Department of Computer and Information Sciences, Towson University, MD, USA. His research interests include Cybersecurity, Cyber-Physical Systems (CPS), Internet of Things, Data Science, and Machine Learning Applications. He has published over 350 papers, including articles in premier system and security conferences and journals. He received the University System of Maryland (USM) Wilson H. Elkins Professorship Award, the USM Regents’ Faculty Award for Excellence in Research, the United States National Science Foundation Faculty Early Career Development (CAREER) Award in 2014 on CPS, and the Best Paper Award at various IEEE conferences. He played multiple roles in the research community, including Senior Area Editor, Associate Editor, and Guest Editor for various journals and Program Vice/Track-Chair for different conferences. His H-index is 55 in Google Scholar, with over 16,000 citations. Over the past fifteen years, Dr. Yu has led his research team in developing innovative models, algorithms, and methods in CPS, enabling the holistic integration of edge intelligence into CPS.
