APARC/AI Predictive Automation Research Center
Research Field
Yenming J. Chen is a Distinguished Professor in the Department of Information Management at National Kaohsiung University of Science and Technology, Taiwan, where he also serves as Director of the AI Sensing and Automation for Low-Carbon Research Center. He holds a joint appointment with the Department of Medical Informatics at Kaohsiung Medical University. Professor Chen earned his Ph.D. in Systems Science and Mathematics from Washington University in St. Louis in 1998. His research integrates intelligent computing and scientific management with cross-disciplinary applications in generative AI, technology management, fault detection, game theory, risk analysis, and precision healthcare. He has published over 70 SCI/SSCI-indexed journal articles, including 17 in high-impact Q1 journals, authored four professional books, and holds four invention patents. He also serves as associate editor for several leading SSCI/SCI journals, including Transportation Research Part E and IEEE Transactions on Systems, Man and Cybernetics: Systems. Professor Chen has been awarded 15 consecutive three-year research grants from the National Science Council and has received his university’s Distinguished and Outstanding Academic Awards for 12 consecutive years. In the past five years, he has led 66 research projects with total funding exceeding US$2 million, of which nearly two-thirds were supported by private industry. As an educator, he has mentored students to 34 national awards, including multiple first-place honors featured in the media. He has also developed applied systems that extend academic innovations into industry-university collaborations.
- Deep Learning Algorithms and Acoustic Fault Diagnosis of Compressors – Employee Training with AI Virtual Machine
- On-site Installation and Cloud-based Audio Collection for Compressor Fault Acoustic Diagnosis
- Application of Generative AI in the Integration of Supply and Demand Information for Smart Disaster Relief and Medical Resources in Taiwan
- AI and DT Technologies for Abnormal Detection and Maintenance Prediction of Naval Steel Cables
- Intelligent Procurement of Parts in the Defense Supply Chain – Self-compiled Database
- Preliminary Research and Demonstration for the Construction of the Navy’s "Damage Control and Equipment Maintenance System"
- Proactive Resource Allocation Planning for Medical and Transportation Integration Considering Regional Road Networks and Community Vulnerability (National Science and Technology Center for Disaster)
- Identifying Tendon Vascular Density in Arthroscopic Surgery Using Hyperspectral Analysis and Non-smooth Manifold Machine Learning (High-Tech Medical Collaboration Program)
- Optimization of Temperature Parameters for Equipment Oven Energy Management Using AI Technology (ASE Automation Research Collaboration 2021)
- Development of Maintenance Decision-Making and Intelligent Life Estimation Methods for Rotating Machinery in Harsh Industrial Environments Using Non-contact Acoustics and Noise Assimilation Learning (National Science Council)
- Non-contact Occupational Injury Prevention Assistance Module for Assembly Line Worksites: Mental Fatigue Detection
- Development and Evaluation of Cold Chain Logistics Business Planning (Chunghwa Post)
- Resilient Agricultural Supply Chain and Practical Operations Management – Water Demand Prediction, Emergency Pumping Optimization, and Environmental Vulnerability Analysis for the Reconstruction of Potential Spatial Water Supply Subsystems (Ministry of Science and Technology, 3-year project)
- Unmanned Patrol System – AI and Remote Sensing Augmentation Research (CPC Corporation, Taiwan)
- Post-disaster Humanitarian Logistics Planning for Disaster Relief and Medical Resource Allocation in Isolated Areas (National Science and Technology Center for Disaster Reduction)
- Intelligent Audio Analysis for Naval Ship Propulsion System Maintenance Assessment Using AI-based Full Soundscape Feature Extraction (Ministry of National Defense)
- Geospatial Data-Driven Pre-disaster Deployment of Medical and Relief Logistics Resources (National Science and Technology Center for Disaster Reduction)
- Zero-contact Optical Learning for Digital Twin Virtual Humans in Early Prediction of Deoxyhemoglobin and Pressure Ulcers (National Science Council Industry-Academia Collaboration
- AI-based Precision Model Development for Gasoline Formula Optimization (CPC Corporation, Taiwan)
- ASE Automation Research Collaboration 2021 – Sound Trait Recognition for Anomaly Detection in Factory Equipment (ASE)
- Unmanned Patrol System with 360-degree Full Soundscape Machine Learning (CPC Corporation)
01. LLM/VLM integration with optimization
02. Systems Engineering
03. Human-Machine Interaction
04. Computational Paradigms
05. Cross-Discipline Real-world Systems: healthcare, national priorities, decision science, optimization, learning systems, pattern recognition, and risk assessment.
01. Editorials: IEEE Transactions on Systems, Man, and Cybernetics – Systems; Transportation Research: part-E
02. SCI/SSCI papers: over 38 in the past 5 years
03. Director of the AI Predictive Automation Carbon-Reduction Research Center
04. Joint-appointed professor in the Department of Medical Informatics at Kaohsiung Medical University.
01. Ph.D., Systems Science and Mathematics, Washington University in St. Louis
02. Master, Systems Science and Mathematics, Washington University in St. Louis