Digital Twin Models for Semiconductor Manufacturing Unit Process
November 5, 2025 @ 10:00 am - 12:00 pm
Join ECE Assistant Professor Benyamin Davaji, head of the AIMS Lab, as he explores how digital twin models are redefining semiconductor manufacturing.
SEMI Master Class #27 will feature two thought leaders redefining the future of semiconductor process innovation — Dr. Benyamin Davaji of Northeastern University and Dr. Peter Doerschuk of Cornell University.
Dr. Davaji, Assistant Professor of Electrical and Computer Engineering at Northeastern and head of the Autonomous Integrated Microsystems (AIMS) Lab, merges data science, physics, and nanofabrication to revolutionize semiconductor manufacturing. His work on digital twin models is reshaping how we simulate, optimize, and scale unit processes—from lab-scale experimentation to high-volume production.
Dr. Doerschuk, Professor of Electrical and Computer Engineering at Cornell University, brings decades of experience in computational modeling and systems analysis. With degrees in electrical engineering from MIT and an M.D. from Harvard Medical School, his research bridges computation and biology, developing advanced models that drive new approaches to sensor signal processing, pattern recognition, and data-driven system design.
Together, these speakers will explore how digital twins and computational models are transforming semiconductor process development and enabling smarter, faster, and more efficient manufacturing.
In this session, you’ll learn:
• How digital twins are transforming semiconductor process development
• Real-world applications of AI and virtual metrology in printed electronics
• Strategies for integrating computational modeling with physical systems to boost reliability and throughput
Whether you’re an engineer, executive, or technologist, this Master Class will deliver actionable insights on bridging data, modeling, and manufacturing.