Dr. David M. Fried

Dr. David M. Fried is Corporate Vice President of Semiverse™ Solutions at Lam Research. Fried is responsible for the company’s strategic direction and implementation of software products and algorithms for predictive process modeling and process control.

He joined Lam Research in 2017 as a part of Lam’s acquisition of Coventor, where he served as Chief Technology Officer (CTO) for five years. At Coventor , he also led the execution of technology strategy for technology platforms, partnerships, and external relationships.

Fried is a well respected technologist in the semiconductor industry. He has over 60 patents to his credit and a notable 14 year career with IBM, where he held leadership positions in successive process generations from 65 nanometer through 22 nanometer for IBM’s Systems and Technology G roup. His expertise touches upon areas such as Silicon on Insulator (SOI), FinFETs, memory scaling, strained silicon, and process variability.

David now lives in northern California with his wife and two daughters. He spends much of his free time with family, cheering at soccer and lacrosse games. David loves to sail, racing a J/70 (7.0m one design sailboat) competitively, and cruising in Monterey Bay. He also enjoys cycling, skiing, a nd traveling.

Education:

• Bachelor of Science, Electrical Engineering - Cornell University
• Master of Engineering, Electrical Engineering - Cornell University
• Master of Science, Electrical and Computer Engineering - Cornell University
• Doctor of Philosophy, Electrical and Computer Engineering - Cornell University

Presentation Title

Chips Making Chips: How Virtualization, Digital Twins and Machine Learning are Accelerating the Spiral of Innovation 

Abstract

In this keynote, we will discuss how virtual process modeling and virtual fabrication can be used to support semiconductor manufacturing training. We will briefly review the capabilities of these tools, along with the benefits and advantages of using them in semiconductor workforce development. We will also examine how virtual process modeling is being used in India to advance India’s indigenous semiconductor manufacturing objectives.