UTEP Faculty Profiles

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Chin-Yih Lin

Research Assistant Professor
Industrial, Manufacturing, and Systems Engineering (IMSE)

Office Building: Engineering Building
Office Room: E-226B
Phone: (915) 747-6874
Email: clin@utep.edu

Bio

Dr. Chin-Yih Lin is an Assistant Professor of Research in UTEP’s IMSE department, with an appointment funded by the UT System Regents’ Research Excellence Program (RREP), developing AI-driven frameworks for semiconductor intelligent manufacturing. His research combines digital twins, Bayesian optimization, AI, and time-series foundation models to enable process optimization and predictive quality control in fabrication environments. Before UTEP, he was a Research Specialist at National Cheng Kung University, managing AI-enabled semiconductor workflow projects, and a Staff Specialist at Infineon Technologies AG, leading virtual metrology and machine learning initiatives. He has authored 25 IEEE journal papers (12 as lead author), 12 IEEE conference papers, 6 IEEE textbook chapters, and holds 7 U.S. patents (6 as lead inventor). He received the 2025 Taiwan National Invention Award (Silver Medal) and ranked fifth worldwide (2014–2024) by Scopus for contributions to semiconductor manufacturing. He is a member of the IEEE Robotics & Automation Society and the IEEE Computational Intelligence Society, and he reviews for IEEE Transactions on Automation Science and Engineering.

Awards and Honors

2025 Taiwan National Invention Award (Silver Medal) - Taiwan Ministry of Economic Affairs (01/01/2025-12/31/2025)
5th worldwide in semiconductor device manufacturing, neural networks, and process control (T.31043) - Scopus (01/01/2025-01/31/2025)

Education

Ph D in Manufacturing and Information System, National Cheng Kung University (2020)
MS in Manufacturing and Information System, National Cheng Kung University (2017)

Publications

CLARiC: Contrastive Learning and Root-Cause Inference with Causality for Explainable Smart Manufacturing , IEEE Access 13 (2025), Chin-Yih Lin.
GPT-Augmented Bayesian Reinforcement Learning Framework for Multiobjective Supplier Selection , IEEE Transactions on Engineering Management 72 (2025), Chin-Yih Lin.
Generative AI for intelligent manufacturing virtual assistants in the semiconductor industry , 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2025) (2025), Chin-Yih Lin.
A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing , Applied Sciences (Switzerland) 15 12 (2025), Chin-Yih Lin.
Generative AI-Driven Data Augmentation for Robust Virtual Metrology: GANs, VAEs, and Diffusion Models , IEEE Transactions on Semiconductor Manufacturing 38 3 (2025), Chin-Yih Lin.
A Digital Twin Framework With Meta- and Transfer Learning for Scalable Multi-Machine Modeling and Optimization in Semiconductor Manufacturin , IEEE Access 13 (2025), Chin-Yih Lin.
Large Pre-Trained Models and Few-Shot Fine-Tuning for Virtual Metrology: A Framework for Uncertainty-Driven Adaptive Process Control in Semiconductor Manufacturing , IEEE Transactions on Automation Science and Engineering 22 (2025), Chin-Yih Lin.
Generative AI for intelligent manufacturing virtual assistants in the semiconductor industry , IEEE Robotics and Automation Letters 10 4 (2025), Chin-Yih Lin.
A Digital Twin Framework With Bayesian Optimization and Deep Learning for Semiconductor Process Control , IEEE Access 13 (2025), Chin-Yih Lin.
An Intelligent Factory Automation System with Multivariate Time Series Algorithm for Chip Probing Process , IEEE Robotics and Automation Letters (2023), Yu-Ming Hsieh, Chin-Yih Lin, Jan Wilch, Birgit Vogel-Heuser.
Analysis of Process Data for Remote Health Prediction in Distributed Automation Systems , 18th IEEE International Conference on Automation Science and Engineering (CASE) (2022), Yu-Ming Hsieh, Jan Wilch, Chin-Yih Lin, Birgit Vogel-Heuser.
Golden Path Search Algorithm for the KSA Scheme , IEEE Transactions on Automation Science and Engineering 19 3 (2022), Chin-Yih Lin, Ching-Kang Ing.
Convolutional Neural Networks for Automatic Virtual Metrology , IEEE Robotics and Automation Letters 7 3 (2022), Yu-Ming Hsieh, Tan-Ju Wang, Chin-Yih Lin.
Application Cases of Intelligent Manufacturing. Industry 4.1: Intelligent Manufacturing with Zero Defects , Wiley-IEEE Press (2022), Chin-Yih Lin.
Intelligent Predictive Maintenance (IPM): Industry 4.1: Intelligent Manufacturing with Zero Defects , Wiley-IEEE Press (2022), Chin-Yih Lin.
Intelligent Yield Management (IYM). Industry 4.1: Intelligent Manufacturing with Zero Defects Wiley-IEEE Press (2022), Chin-Yih Lin.
Convolutional Autoencoder and Transfer Learning for Automatic Virtual Metrology , IEEE Robotics and Automation Letters 6 3 (2021), Yu-Ming Hsieh, Tan-Ju Wang, Chin-Yih Lin.
Time Series Prediction Algorithm for Intelligent Predictive Maintenance , IEEE Robotics and Automation Letters 4 3 (2020), Chin-Yih Lin.
Interaction-Effect Search Algorithm for the KSA Scheme , IEEE Robotics and Automation Letters 3 4 (2020), Chin-Yih Lin.

Presentations

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Grants

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Current/Future Courses

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Past Courses

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Course Evaluations

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Bio

Awards and Honors

2025 Taiwan National Invention Award (Silver Medal) - Taiwan Ministry of Economic Affairs (01/01/2025-12/31/2025)
5th worldwide in semiconductor device manufacturing, neural networks, and process control (T.31043) - Scopus (01/01/2025-01/31/2025)

Ph D in Manufacturing and Information System, National Cheng Kung University (2020)
MS in Manufacturing and Information System, National Cheng Kung University (2017)

Publications

CLARiC: Contrastive Learning and Root-Cause Inference with Causality for Explainable Smart Manufacturing , IEEE Access 13 (2025), Chin-Yih Lin.
GPT-Augmented Bayesian Reinforcement Learning Framework for Multiobjective Supplier Selection , IEEE Transactions on Engineering Management 72 (2025), Chin-Yih Lin.
Generative AI for intelligent manufacturing virtual assistants in the semiconductor industry , 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2025) (2025), Chin-Yih Lin.
A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing , Applied Sciences (Switzerland) 15 12 (2025), Chin-Yih Lin.
Generative AI-Driven Data Augmentation for Robust Virtual Metrology: GANs, VAEs, and Diffusion Models , IEEE Transactions on Semiconductor Manufacturing 38 3 (2025), Chin-Yih Lin.

Presentations

No info available.

Current/Future Courses

No info available.

Past Courses

No info available.

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Chin-Yih Lin

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Chin-Yih Lin

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