CHIN-YI LIN

Assistant Professor of Research

University of Texas at El Paso

United States

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About

CHIN-YI LIN is an Assistant Professor of Research at The University of Texas at El Paso, USA. His research focuses on advanced methodologies in semiconductor manufacturing, encompassing areas such as drift detection, digital twin frameworks, and generative AI applications for intelligent manufacturing. Recent publications include contributions to Bayesian optimization, explainable smart manufacturing, and robust virtual metrology.

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2023

Collaborators (1)

Bill Tseng

Professor & Chair

University of Texas at El Paso

UNITED STATES

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CHIN-YI LIN

Research Interests

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About

Articles (10)

A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing

GPT-Augmented Bayesian Reinforcement Learning Framework for Multi-Objective Supplier Selection

Generative AI for Intelligent Manufacturing Virtual Assistants in the Semiconductor Industry

A Digital Twin Framework With Bayesian Optimization and Deep Learning for Semiconductor Process Control

A Digital Twin Framework With Meta- and Transfer Learning for Scalable Multi-Machine Modeling and Optimization in Semiconductor Manufacturing

CLARiC: Contrastive Learning and Root-Cause Inference with Causality for Explainable Smart Manufacturing

GPT-Augmented Bayesian Reinforcement Learning Framework for Multiobjective Supplier Selection

Generative AI-Driven Data Augmentation for Robust Virtual Metrology: GANs, VAEs, and Diffusion Models

Large Pre-Trained Models and Few-Shot Fine-Tuning for Virtual Metrology: A Framework for Uncertainty-Driven Adaptive Process Control in Semiconductor Manufacturing

An Intelligent Factory Automation System With Multivariate Time Series Algorithm for Chip Probing Process

Collaborators (1)

Bill Tseng

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