Scientific, technical, and societal advances are increasingly dependent on new insights, theories, and tools to exploit data effectively for the timely delivery of relevant and accurate information and for knowledge discovery. For the purpose of effective and efficient learning from the data to improve operational safety, manufacturing efficiency, energy efficiency, and sustainability in manufacturing, our team aims to explore machine learning (ML) and artificial intelligence (AI) for improved information extraction, pattern recognition, and decision making towards smart, data science-enhanced manufacturing.
Our team targets developing applicable and generalizable ML and AI techniques suitable for manufacturing data analytics that is featured by the large volume, high dimensionality, heterogeneity, non-linearity, and uncertainty. Current research thrusts include:
National Science Foundation, “CAREER: Transforming Machine Learning Models Developed in Labs to Manufacturing Plants” (CMMI-2237242), PI, $567,930, 05/01/2023-04/30/2028.
National Science Foundation, “Understanding Manufacturing Process Dynamics and Machine Tool Anomaly Detection Through Process Sensing and Machine Learning” (CMMI-2015889), PI (with Co-PI Dr. I.S. Jawahir), $444,405, 08/01/2020-07/31/2024.
National Science Foundation, “NRI: FND: Intelligent Co-robots for Complex Welding Manufacturing through Learning and Generalization of Welders Capabilities” (CMMI-2024614), Co-PI (with PI Dr. Yuming Zhang), $665,540 (Wang’s share: $317,355), 08/01/2020-07/31/2024.
National Institutes of Health, “Non-destructive optical spectroscopic assay for high-throughput metabolic characterization of in vitro cell models and patient-derived organoids”, Co-PI, (with PI Dr. Caigang Zhu), $600,437, 07/07/2022-03/31/2025.
UK Sustainable Grant, “UK-DiPP: Development of UK Digital iPad Product Passport for iPad Initiative Sustainability Improvement”, Co-PI (with PI Dr. Fazleena Badurdeen), $45,000, 07/01/2023-06/31/2024.
UK Department of Mechanical Engineering, Allan and Ginger Brown Foundation, “Module-Level Aircraft Engine Performance Degradation Tracking and Prediction”, PI, $10,368, 01/05/2021-12/31/2021.
UK Igniting Research Collaboration (IRC), “AI-Powered Augmented Reality Intubation Training for First Responders”, Co-PI (with PI Dr. Daniel Lau), $36,322, 12/01/2020-06/30/2021.
UK Energy Research Prioritization Partnership (ERPP) Grant Program, "Stochastic Modeling of Lithium-ion Battery Aging for Predictive Maintenance and Advanced Health Management", PI, $39,181, 05/01/2020-05/31/2021.
General Motors, “Modeling of Signals from Laser Welding ff Prismatic Battery Cell”, PI, $30,000, 12/01/2023-3/31/2024.
