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.
International graduate recruitment
I welcome enquiries from international students who want to pursue a Master’s or PhD with the CSDI Lab. Read the research areas below and identify a topic that matches your interests. Graduate research enquiries are welcome; formal admission follows NTUT’s application process.
Send your first email
- Email hendri.laboratory@gmail.com. Use
Master's enquiry - Your Name - Research TopicorPhD enquiry - Your Name - Research Topicas the subject. - State your current degree program, university, and expected or completed graduation month and year. Include your desired start month and year.
- Prepare a short research proposal (maximum 5 pages). Include your proposed topic, research question, planned approach, relevant skills or experience, and how the project connects to the lab’s research.
- Combine your CV and research proposal into one PDF and attach it to your email. Put the CV first, followed by the proposal. The 5-page limit applies to the proposal only. Add a GitHub, project, or publication link if you have one; these links are optional.
Use this first email to explain your background and research fit. An enquiry is not a formal application or an admission decision.
Scholarships and formal admission
Read NTUT OIA’s scholarship information for scholarship schemes and application routes.
In addition to university scholarships, RA/TA stipend from the supervising professor is performance-based. Confirm any available support with the professor; sending an enquiry does not confirm funding.
Follow the official university instructions, required documents, and deadlines for your chosen degree program. A reply to an enquiry does not replace those steps.
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 |
|---|---|---|---|---|
| 2026.08–2027.07 | Principal Investigator (PI) | A Human-Centered Framework for Motion Variability Sensing, Kinematic Consistency, and Skill Transfer Analysis in Industrial Tasks | NSTC (國科會) | NT$891,000 |
| 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 |
| 2026.03–2026.10 | 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 |
Current Students
Graduated Students
Resources
Use the Resources page for step-by-step guides to student websites, VS Code, Python environments, Overleaf, the WidowX AI arm, and finding research papers.