Our lab focuses on developing adaptive AI system management solutions, creating innovative technology modules that can automatically adjust to different manufacturing environments and configurations. By integrating statistical science, machine learning, and deep learning techniques, we establish decision-making systems that operate effectively under various conditions. This approach minimizes human intervention to address common big data challenges in industrial applications, aiming to reduce manufacturing costs and enhance production efficiency.

Leader: Dr. Chen, Chia-Cheng & Dr. Loh, Chee Hoe

Location: 2428 Room

Ext.: 2428

The primary research of this laboratory includes 1. Utilize computer simulation, AI, and optimization to assist industries in achieving smart production, cyber-physical system, and digital twins; 2. Explore the issues of site location and facilities.

Leader: Dr. Jen, Hen-Yi & Dr. Huang, Hao

Location: 2504 Room

Ext.: 2504

The leading research of this laboratory includes production plan and scheduling, intelligent manufacturing, swarm intelligence algorithms, supply chain optimization, and operations research application.

Leader: Dr. Wu, Gen-Han

Location: 2505 Room

Ext.: 2505

The main research of this laboratory includes: 1. Utilize data mining, machine learning, big data analysis, and AI technology to assist industries achieve digitalization and virtualization; 2. Apply mathematical optimization, machine learning, and computer simulation techniques to solve production and supply chain management problems, including demand forecasting and inventory management.

Leader: Dr. Tsai, Chieh-Yuan & Dr. Tsai, Chi-Yang

Location: 2506 Room

Ext.: 2506

This lab focuses on developing methods to improve quality and productivity. The research areas include statistical process control, supplier selection, and multimodal data analysis. We leverage statistics, machine learning, and AI techniques to achieve process improvement.

Leader: Dr. Lin, Chen-Ju

Location: 2519 Room

Ext.: 2519

The Multimodal Decision Laboratory is dedicated to advancing intelligent decision-making through the integration of multimodal data, including text, images, speech, sensor signals, and structured data. Leveraging artificial intelligence, machine learning, predictive analytics, and decision analytics, the laboratory conducts research in smart manufacturing, intelligent supply chains, demand and quality prediction, generative AI, knowledge management, and industrial digital transformation. By collaborating closely with industry, the laboratory provides students with practical experience in data analytics, AI-driven system development, and interdisciplinary problem-solving, bridging academic research with real-world applications.

Leader: Dr. Chien, Chun-Hua

Location: 2523 Room

Ext.: 2523

Vision AI and Industrial Data Analytics Lab

The laboratory specializes in deep learning, computer vision, industrial data analytics, and multimodal learning. The lab focuses on developing and validating practical applications for smart manufacturing and decision support, spanning defect detection, equipment anomaly prediction, process parameter analysis, and data-driven decision-making.

Leader: Dr. Lu, Yi-Wei

Location: 2523 Room

Ext.: 2523

This laboratory focuses on the teaching and research of applying quality concepts and techniques. The goal is to use the principles and technologies of quality in industries such as electronics, optoelectronics, semiconductors, automobiles, and service industries to improve and enhance the quality of products and processes. The main techniques used are statistical methods, measurement system analysis, control charts, design of experiments, and machine learning methods.

Leader: Dr. Chen, Pei-Wen

Location: 2524 Room

Ext.: 2524

Global Logistics and Innovative Optimization Lab's research interests mainly revolve around designing, developing, and applying optimization algorithms in global logistics, supply chain management, vehicle routing, container terminal operations, production scheduling, warehousing operations, image processing, reliability system design, portfolio optimization, resource allocation, big data analysis, AI model hyperparameter optimization, performance evaluation, etc.

Leader: Dr. Ting, Ching-Jung & Dr. Liang, Yun-Chia & Dr. Rran, Mei-Xin & Dr. Panca, Jodiawan

Location: 2525 Room & 2424 Room & 2622 Room

Ext.: 2525 & 2424 & 2622

The primary research focus of our laboratory is the industrial application of AI Agents and trustworthy artificial intelligence, particularly in the areas of intelligent manufacturing and smart eldercare. Our research spans large language model agent architectures, knowledge retrieval systems, and sustainable AI.

Leader: Dr. Sun, Tien-Lung & Lu, Cho-Hsun

Location: 2526 Room

Ext.: 2526

The main focuses of this laboratory include 1. Intelligent Ambient Lighting – Study various situations and user needs to create different lighting environments that boost perceived experience. 2. Smart Human Factors Interaction – Combining AI with Human Factors experimental research to understand and predict user behaviors and status. 3. Computer-aided diagnosis – Using AI and quantitative analyses to assist medical services and student tutoring.

Leader: Dr. Lin, Ray F. & Dr. Chou, Chin-Mei

Location: 2607 Room & 2520 Room

Ext.: 2607 & 2520

The laboratory pursues excellence in sustainability and service management, guided by the Gung Ho spirit of collaboration and balanced development across EESG: Economic, Environmental, Social, and Governance. It integrates rigorous analysis with forward-looking innovation to create practical solutions for complex industrial and organizational challenges. Key research areas include 1.transformation strategy using system dynamics simulation; 2. TRIZ-based innovation for products, processes, and equipment; 3. value enhancement through cost and functional analysis; 4. occupational safety, health, and risk management; and 5. project management focused on planning, execution, monitoring, and performance improvement, supporting sustainable growth, operational effectiveness, employee well-being, and long-term organizational competitiveness in diverse contexts globally.

Leader: Dr. Chen, Yu-Tzu

Location: 2624A Room

Ext.: 2624