AI / ML applied to semiconductors and manufacturing
595 SEMINAR SERIES
February 25, 2022
AI / ML applied to semiconductors and manufacturing
Presenter: Tirthajyoti Sarkar, Rhombus Power Inc.
Abstract: Artificial intelligence (AI) is set to transform global productivity, working patterns, and lifestyles, and create enormous wealth. Every major business segment and scientific discipline is embracing this paradigm shift and the power electronics/semiconductor industry is no exception. In this talk, Sarkar explores the why/how/what of AI and machine learning (ML) for power electronics, semiconductor technology, and related manufacturing domains. Specific examples of applying the concepts of AI/ML are discussed along with some general observations about the nature of problems that must be tackled with these new tools and techniques. Focusing on the students of ECE disciplines, who are the potential future leaders and practitioners of AI/ML technologies, Sarkar also draws from his personal learning experience, and discusses what to focus on, for getting into this field from a different background.
Speaker bio: Tirthajyoti Sarkar works as the senior director of AI/ML platform at Rhombus Power Inc., where he is building solutions for problems of vital national and global importance with AI, data, and mathematics. Most recently, he worked as data science engineering manager at a startup developing an edge-computing platform for the semiconductor manufacturing industry. Before that, he spent more than a decade in the semiconductor and electronics industry, where he developed power semiconductor technology and applied AI and ML techniques for design automation and product innovation. He regularly publishes AI and data science articles in top online platforms and teachesML in various workshops and forums. Sarkar has published 30+ papers in IEEE and holds multiple US patents. He has also authored two data science books and is working on his third. Sarkar is a senior member of IEEE, a former chair of the Semiconductor Committee of the PSMA (the world's largest power supply organization consortium), and industry advisory member for ValleyML, a non-profit AI/ML organization. He holds a Ph.D. in electrical engineering from the University of Illinois Chicago, and an MS in data analytics from Georgia Tech.
Faculty Host: Sudip K. Mazumder (mazumder@uic.edu)
This lecture will not be recorded. Please contact the department for login information.
Date posted
Feb 23, 2022
Date updated
Feb 23, 2022