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

  1. 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.

  2. 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.

  3. Optimization and Operations Research - Optimization models and algorithms for industrial decision-making, including production planning, scheduling, logistics, and large-scale enterprise operations.

  4. 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

PeriodRoleProject NameFunderApproved Grant
2026.01–2026.12Principal Investigator (PI)Streaming Federated Optimization for Medical Image Anomaly Detection: International Collaboration ProjectNTUT (國立臺北科技大學)NT$300,000
2026.03–2026.10Principal Investigator (PI)Order Due-Date Visualization and AI-Assisted Quotation: Industry–Academia Collaboration ProjectMOEA Industrial Development Administration (經濟部產業發展署)NT$320,000
2023.10–2026.07Principal Investigator (PI)Optimization-Based Time-Series Anomalous Interval Detection in Cloud–Edge Computing Systems and Its Application to Abnormal Action RecognitionNSTC (國科會)NT$1,591,000

Current Members

Ang Prisila Kartin 潘凱婷
Ang Prisila Kartin 潘凱婷
M.Acc (2019), Accounting, Soegijapranata Catholic University, Indonesia
M.B.A (2019), Business Administration, Providence University, Taiwan
Current Position: PhD Student
Sean 莊竣翔
Sean 莊竣翔
B.S. (2024), Information Management, National Dong Hwa University, Taiwan
Current Position: Master's Student
Owen 顏敬倫
Owen 顏敬倫
B.S. (2025), Information Management, National Dong Hwa University, Taiwan
Current Position: Master's Student
Zoe 林芳伃
Zoe 林芳伃
B.S (2025), Logistics Management, National Kaohsiung University of Science and Technology, Taiwan
Current Position: Master's Student
Lucas 謝孟峰
Lucas 謝孟峰
B.S (2026), Industrial Engineering and Systems Management, Feng Chia University, Taiwan
Current Position: Master's Student
Lance 王誠凱
Lance 王誠凱
B.S (2026), Industrial Engineering and Systems Management, Feng Chia University, Taiwan
Current Position: Master's Student
Cyndi 吳采嬅
Cyndi 吳采嬅
B.A (2026), Philosophy, National Chung Cheng University, Taiwan
Current Position: Master's Student
Angelica Lujan Urdapilleta Cuevas 吳愷涵
Angelica Lujan Urdapilleta Cuevas 吳愷涵
Current Position: Undergraduate Student

Former Members

Peter 王建旭
Peter 王建旭
B.S. (2024), Information Management, National Dong Hwa University, Taiwan
Current Position: Master's Student
Gary 盧奕澄
Gary 盧奕澄
Co-advised graduate student with Dr. Chao-Lung Yang
M.B.A. (2024), Industrial Management, National Taiwan University of Science and Technology, Taiwan
Representative work: Two-Stage Classification of EMG Signals Based on Gesture Similarity Grouping Using Deep Learning Methods
Deandra Sharita
Deandra Sharita
TEEP Bachelor's Research Assistant Internship, co-advised with Dr. Siana Halim
B.S. (2024), Industrial Engineering, Petra Christian University, Indonesia
Representative work: Time series clustering: A case of material loss in transportation process
Albert Ardiansyah
Albert Ardiansyah
Co-advised undergraduate student with Dr. Gisela Nina Sevani
B.S. (2024), Informatics Engineering, Universitas Kristen Krida Wacana, Indonesia
Representative work: Efficient High-Frequency Cryptocurrency Forecasting: A Comparative Study of ARIMA and LSTM

Lab Materials

Hello, and welcome to the Cognitive Systems and Decision Intelligence (CSDI) Lab materials. These are practical setup guides and tutorials for the tools and equipment we use — from configuring a coding environment, to writing papers and notes, to operating lab hardware.

Feel free to follow the guides below as needed. If you can’t find what you’re looking for, don’t hesitate to ask the professor or other lab members.

VSCode

Python Environments

HackMD

Overleaf

Trossen Robot (WidowX AI)