Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

02.10.2023

Englisch

9783031195679

Springer International Publishing

Nein

412

Gebundene Ausgabe

Hardware Architectures

Sudeep Pasricha is a Walter Scott Jr. College of Engineering Professor in the Department of Electrical and Computer Engineering, the Department of Computer Science, and the Department of Systems Engineering at Colorado State University. He is Director of the Embedded, High Performance, and Intelligent Computing (EPIC) Laboratory and the Chair of Computer Engineering. Prof. Pasricha received the B.E. degree in Electronics and Communication Engineering from Delhi Institute of Technology, India, and his Ph.D. in Computer Science from the University of California, Irvine. He has several years of work experience in industry where his work focused on electronic chip design automation, model based design, and embedded system codesign. Prof. Pasricha has received more than $7M in funding for his research from various sponsors including the NSF, SRC, AFOSR, ORNL, DoD, Fiat-Chrysler, and NASA. He has co-authored multiple books, contributed to several book chapters, and published more than 250 research articles in peer-reviewed conferences, journals, and books. He has been part of panels, keynotes, and also organized special sessions and tutorials on his research areas at premier conferences. He is a Senior Member of the IEEE (Computer Society), Distinguished Member of the ACM, and an ACM Distinguished Speaker.

Machine learning embedded systems, Machine learning IoT, Machine learning edge computing, Smart Cyber-Physical Systems, Hardware-Aware Neural Architectural Search

UKM - Eingebettete Systeme TJF - Elektronik GPFC - Kybernetik und Systemtheorie UYQ - Künstliche Intelligenz

235 mm

15.5 cm