• MS in Computing and Technology, Arizona State University (2026)
• Ph D in Manufacturing Information and Systems, National Cheng Kung University (2020)
• MS in Manufacturing and Information System, National Cheng Kung University (2017)

• Adaptive Reinforcement Learning-Driven Digital Twin for Multi-Objective and Multi-Machine Process Optimization , IEEE Transactions on Artificial Intelligence (2026), Chin-Yih Lin.
• A Digital Twin Framework with Deep Feature Extraction and Gaussian Process for Multi-Objective Optimization in Semiconductor Manufacturing , IEEE Transactions on Automation Science and Engineering 23 (2026), Chin-Yih Lin.
• 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.

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