SEMI Leadership:
Dr. Pushkar Apte
Dr. Melissa Grupen-Shemansky
Current lead PIs:
Amit Lal (Cornell - Devices and micro/nano fab)
Peter Doerschuk (Cornell - AI/ML models, Image processing)
Benyamin Davaji (Northeastern - Micro/nano fabrication, novel metrology)
Past coPIs:
Prof. Chis Ober (Cornell)
Prof. Edward Suh (Cornell and Meta)
Dr. Don Tennant (Cornell)
Current Cornell Nanoscale Facility (CNF) Staff participants:
Garry Bordenaro
Jeremy Clark
Past CNF staff participants:
Vincent Genova
Postdoctoral associates:
Dr. Sai Saraswathi Yarajena (Device modeling)
Ph.D. students:
Christina Lau: Cornell - DNNs
Haiyang Yun: Northeastern - Metrology and electrical test
Mehdi Yaghoubi: Northeastern - Nanofabrication ferroelectric films
Shubham Jadhav: Cornell - Ferroelectric devices
MEng students:
TBD
Past Postdoctoral associates:
Dr. Ved Gund: RF MEMS devices
Past Ph.D. students:
Trishta Tiwari (advised by Edward Suh): Secure computing
Shubham Jadhav: Ferroelectric devices
Past MEng students:
Shortening development time and increasing yield in the cleanroom via machine learning
Yixuan Wang, May 2020.
Gengqiao Xie, May 2020.
Yifei Xu, May 2020.
Xinru Zhang, May 2020.
Deep learning tools for use in the cleanroom
Peter A. Cook, May 2021.
Software to assist human-labeling of scanning electron micrographs
Jingyi Zhu, May 2021.
Shortening development time and increasing yield in the cleanroom via machine learning
Jiaxian Chen, December 2021.
Machine learning to guide printed electronics fabrication. 2022 ECE M.Eng. Poster Session Winner in the “AI / Pattern Recognition (Computer Vision, Machine Learning, Robotics)” category.
Shuhan Ding, May 2022.
Yiling Peng, May 2022.
Shortening development time and increasing yield in the cleanroom via machine learning
Ziwang Luo, May 2022.
Machine learning for controlling processes in the cleanroom
Ruicheng Gong, May 2022.
Jingkun Yu, May 2022.
Yuchen Lu, May 2022.
Improvements to Image Label Voter (ILV)
Yaqun Niu, May 2022.
Using Lam Research Coventor software in the Microsoft Azure cloud for predicting cleanroom outcomes
Yutong Xie, May 2022.
Federated learning for control of processes in the cleanroom
Alexander James Scotte, December 2023.
Federated Learning for Cleanroom Processes
Demian Yutin, December 2023.
Artificial intelligence and machine learning for digital twins of cleanroom tools and sequences of cleanroom tools
Aditya Arcot, May 2024.
Miriya Pinkerman, May 2024.
Investigation of AI/ML tools for improving the fabrication by printing of flexible and hybrid electronics with special focus on the incorporation of ink properties
Hardik Gajanan Hedaoo, May 2024.
Haochen Luo, May 2024.
Aditi Rao, May 2024.
Syed Askari Raza, May 2024
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