Cognitive Systems and Decision Intelligence Lab (CSDI Lab)
The Cognitive Systems and Decision Intelligence Lab (CSDI Lab) at National Taipei University of Technology (NTUT) conducts research at the intersection of artificial intelligence, data science, statistics, and industrial engineering.
We develop data-driven and AI-enabled methods for decision-making, system monitoring, and optimization in complex industrial and enterprise environments. Our research emphasizes both methodological rigor and practical impact, motivated by real-world problems in smart manufacturing, logistics, Industry 4.0, and intelligent automation.
CSDI Lab connects theory and practice by translating data and algorithms into tools that improve how systems are designed, monitored, and managed.
Research Areas
Industrial AI and Smart Manufacturing - AI and data-driven methods for smart manufacturing and Industry 4.0, including cyber-physical production systems, industrial automation, process monitoring, predictive maintenance, and quality analytics.
Time Series Analysis and Statistical Learning - Methods for temporal and sequential data, including time series modeling, forecasting, anomaly and change-point detection, and pattern discovery in sensing and operational data.
Optimization and Operations Research - Optimization models and algorithms for industrial decision-making, including production planning, scheduling, logistics, and large-scale enterprise operations.
Decision Intelligence and Human-Centered AI - Decision-support and human-centered AI for enterprise systems, including interpretable models, human-in-the-loop analytics, and operational decision intelligence (e.g., workforce and skills analytics).
Grants
| Period | Role | Project Name | Funder | Approved Grant |
|---|---|---|---|---|
| 2026.01–2026.12 | Principal Investigator (PI) | Streaming Federated Optimization for Medical Image Anomaly Detection: International Collaboration Project | NTUT (國立臺北科技大學) | NT$300,000 |
| 2026.01–2026.08 | Principal Investigator (PI) | Order Due-Date Visualization and AI-Assisted Quotation: Industry–Academia Collaboration Project | MOEA Industrial Development Administration (經濟部產業發展署) | NT$320,000 |
| 2023.10–2026.07 | Principal Investigator (PI) | Optimization-Based Time-Series Anomalous Interval Detection in Cloud–Edge Computing Systems and Its Application to Abnormal Action Recognition | NSTC (國科會) | NT$1,591,000 |
Members
