Research Projects
Project Name | Partner/Sponsor | Year | Application |
---|---|---|---|
Closed-Loop Product Defect Identification and Remediation for Semi-Continuous Roll-to-Part Manufacturing Systems | Manufacturing x Digital | 2025 | Predictive Maintenance, Manufacturing, Flexible Electronics |
Transfer Learning and Data Anonymization with Knowledge Retention Role | Applied Materials, Inc. | 2024 | Knowledge Retention, Semiconductor Manufacturing |
Digital Twin - Enabled Yield Enhancement Methodology for Semiconductor Manufacturing by Using Stream-of-Quality Analytics | National Institute of Standards and Technology | 2024 | Machine Learning, Semiconductor Manufacturing |
Predictive Maintenance for Multi-Stage Roll-to-Roll Manufacturing | Manufacturing x Digital | 2024 | Predictive Maintenance, Manufacturing, Flexible Electronics |
Industrial Artificial Intelligence Consortium to Advance High Mix Production Role | National Institute of Standards and Technology | 2024 | Artificial Intelligence, Semiconductor |
Robust ball screw prognosis based on a physics informed model for online preload estimation | National Institute of Standards and Technology | 2024 | Prognosis, Physics Informed Model |
Transfer Learning and Data Anonymization with Knowledge Retention Phase 2 | Applied Materials, Inc. | 2023 | Knowledge Retention, Semiconductor |
Hitachi High-Technologies Corp - 2022-2 | Hitachi High-Technologies Corporation | 2023 | Semiconductor Manufacturing |
UMC - Applications of Machine Learning Operation Techniques | United Microelectronics Corporation | 2023 | Machine Learning, Semiconductor |
Health Assessment & Fault Detection for Industrial Robots | Mitsubishi Electric Corporation | 2023 | Robotics |
Digital Twin based Plasma Etching Chamber Matching and Machine Calibration Considering Sensor Drift (extension of award) | Hitachi High-Technologies Corporation | 2022 | Digital Twin, Plasma Etching (Extension) |
Transfer Learning and Data Anonymization with Knowledge Retention | Applied Materials, Inc. | 2022 | Transfer Learning, Data Anonymization |
Digital Twin based Plasma Etching Chamber Matching and Machine Calibration Considering Sensor Drift | Hitachi High-Technologies Corporation | 2022 | Digital Twin, Plasma Etching |
Health Assessment & Fault Detection for Industrial Robots | Mitsubishi Electric Corporation | 2022 | Industrial Robotics |
Development of digital twin model for Hitachi plasma etching tool and calibration of tool performance shift | Hitachi High-Technologies Corporation | 2021 | Digital Twin Development, Manufacturing |
Multivariate Simulation Dataset Generation for Fault Detection with Semi-Automated Feature Extraction and Semi-supervised Limits Setting Applied to Semiconductor Manufacturing Processes | Applied Materials, Inc. | 2021 | Simulation, Machine Learning, Semiconductor |
Chamber Matching based on Etching Digital Twin Model | Hitachi High-Technologies Corporation | 2021 | Chamber Matching, Etching |
Applications of Machine Learning Operation Techniques | United Microelectronics Corporation | 2021 | Artificial Intelligence, Semiconductor |
Winbond Electrostatic (ESC) Chuck Remaining Useful Life | Winbond Electronics Corporation | 2021 | Electronics |
TSMC Training | Taiwan Semiconductor Manufacturing Company Ltd. | 2020 | Industry Training |
Mitsubishi Electric Research 2020 | Mitsubishi Electric Corporation | 2020 | Robotics |
Optimization based on Process Sensor Variable Profiles and Etch Rate | Hitachi High-Technologies Corporation | 2020 | Process Optimization |
PHM Methods for Robot Arms and Pumps | AU Optronics Corporation | 2020 | Robotics |
Industry Partners
(TO BE ADDED)