AI on the Edge with Security

Naresh Kumar Sehgal is a CTO at the Deeply Human AI. Before that he worked at NovaSignal for 3 years and at Intel for 32 years in various Engineering and Management roles. Naresh has earned his B.E. from Punjab Engineering College, M.S. and Ph.D. from Syracuse University. He taught Cloud Computing at Santa Clara University, where he also earned an MBA.

Manoj Saxena is currently working as a Chief Researcher at Centre of Excellence for Distributed Artificial Intelligence, NetEdge. He is a Gold Medallist in Electrical Engineering from Delhi College of Engineering with a Master's in computer science from Indian Institute of Science, Bangalore, and a Ph.D. in Computer Science with research in the area of Distributed Artificial Intelligence from IIT, Delhi. With over 30 years of experience in Information Technology, his prime focus is on Artificial Intelligence, Machine Learning, Knowledge Management, Distributed Systems, Internet of Things, and Cloud Computing.

Dhaval N. Shah is an Entrepreneurial Software Professional working in the AI space. Since over two decades, he is based in California, USA where he came to study Computer Science at Stanford University after his B. Tech. in Computer Science and Engineering at IIT (BHU), Varanasi (was awarded the Outstanding Student of the Institute for the entire IIT Graduating Batch). He previously worked at Cisco Systems and Oracle Corporation and has been part of several startups including co-founding MooWee (Internet video space) that was acquired. He was a Fellow at Syracuse University and holds a MS from University of Wisconsin-Madison, Certificate in Software Systems from Stanford University, and a MBA from University of California, Berkeley.

Part I. Foundations.- Chapter 1. Edge Computing with AI: Introduction.- Chapter 2. Foundations of Computing at the Edge of Networks.- Chapter 3. Foundations of the Internet of Things (IoT).- Chapter 4. Foundations of Artificial Intelligence.- Chapter 5. Foundations of Information Security.- Chapter 6. Edge Artificial Intelligence .- Part II. Practices.- Chapter 7. Security and Performance at the Edge.- Chapter 8. Intelligent Edge Computing: Design Use Cases.- Chapter 9. Role of Regulatory.- Chapter 10. Future of Edge AI.