Semiconductor Manufacturing: AI Models for Process Optimization
In this course, learners will recognize how AI can address complex challenges in semiconductor production. The course begins by analyzing the core manufacturing processes and the role of AI in identifying optimization needs and challenges. The learner will understand how to assess and implement different AI models, such as machine learning and deep learning, to predict and manage process deviations and improve efficiency, and evaluate real-time AI optimization techniques, focusing on how they can enhance production efficiency and maintain quality standards. Through the exploration of case studies, the course presents how these approaches are applied in real-world scenarios, providing a clear understanding of AI’s impact on semiconductor manufacturing optimization.
What you will learn:
- Ability to analyze semiconductor manufacturing processes for key optimization
- How to implement predictive modeling and real-time AI techniques
- How to evaluate AI models for their effectiveness in enhancing manufacturing and processes
- Explore case studies of realistic scenarios
This course is part of the following Course Program:
Mastering AI Integration in Semiconductor Manufacturing
Courses included in this program:
Who Should Attend: AI Engineers, Edge Computing Engineers, Graduates and Undergraduates in Computer Science, Engineering, and Nanotechnology-related fields, Materials Scientists, Nanotechnologists, Nanotechnology Research Scientists, Professors and Lecturers in Computer Science and Engineering, Research and Technology Policy Professionals, Researchers in Nanomaterials and Nanoelectronics, Sustainability and Conservation Specialists, Semiconductor Industry Professionals, Semiconductor Product Development Managers, System Architects
Course Level: Introductory
Instructor
Dr. Santhosh Sivasubramani
Dr. Santhosh Sivasubramani is the working group chair of IEC/IEEE P62659™, the International Standard for Nanomanufacturing in Large Scale Manufacturing for Nanoelectronics. Sivasubramani is a Senior Member of IEEE as well as a member of the IEEE Nanotechnology Council Technical Committee 12 on Nanomagnetics and the IEEE Task Force on Rebooting Computing. Sivasubramani won the IEEE Member Geographic Activities Young Professional Achievement Award in 2023. He is a contributor to the IEEE International Roadmap of Devices and Systems: Beyond CMOS Working Group Report, in addition to serving as the IEEE NTC Standards Committee Secretary. Dr. Sivasubramani gained post-Ph.D. academic and industrial experience in the Advanced Embedded Systems and IC Design Laboratory and the Nanomagnetics Research Lab, demonstrating a versatile blend of expertise. He also contributes as a Track/Session Chair for IEEE international conferences and Founder of RSL Quantum. Dr. Sivasubramani graduated with a Ph.D. in Rebooting Computing from the Indian Institute of Technology Hyderabad (IITH).
Publication Year: 2025
ISBN: 978-1-7281-7884-4