This book serves as a comprehensive guide to the world of EDA tools, offering readers a deeper understanding of their inner workings and a glimpse into the future of electronic design. With a meticulous focus on numerical methods, the author delves deeply into the mathematical foundations that underpin EDA tools. From finite element analysis to Monte Carlo simulations, readers will gain a thorough understanding of the numerical techniques employed to model and simulate complex electronic systems. Furthermore, this book elucidates the diverse modeling methods utilized in EDA tools, providing readers with a holistic view of the methods employed to represent and analyze electronic circuits and systems. Whether exploring circuit-level simulations or system-level modeling, readers will be equipped with the knowledge needed to navigate the intricacies of EDA toolsets. The author also delves into the fascinating intersection of quantum mechanics and electronic design, examining the evolving landscape of quantum EDA tools and offering insights into the transformative potential of quantum computing in electronic design. Lastly, this book explores the transformative impact of machine learning on EDA tools, offering insights into how artificial intelligence techniques can enhance performance and productivity.
The Next Wave of Moores Law.- EDA Tools Modeling Methods.- The Basics
of EDA Tools for IC.- Towards a ML-Assisted EDA Tools.
Khaled Salah Mohamed attended the school of engineering, Department of Electronics and Communications at Ain-Shams University from 1998 to 2003, where he received his B.Sc. degree in Electronics and Communications Engineering with distinction and honors. He received his Masters degree in Electronics from Cairo University, Egypt in 2008. He received his PhD degree in 2012. Dr. Khaled Salah is currently an Applications Engineering Consultant for Siemens Digital Industries Software, in Freemont, CA. Dr. Khaled Salah has published a large number of papers in in the top refereed journals and conferences. His research interests are in 3D integration, IP Modeling, and SoC design.
