Teaching
Courses taught at National Taiwan University of Science and Technology
Courses
Graduate and undergraduate courses
Multimedia Information Systems
Advanced exploration of Multimodal Machine Learning (MMML), emphasizing mathematical foundations and state-of-the-art models for integrating linguistic, acoustic, and visual data streams.
AI-Based Visual Inspection
Practical application of advanced AI techniques for precision visual analysis. Covers medical lesion detection and industrial defect inspection using real-world datasets for hands-on model training.
Automated Sensing and Smart Data Acquisition
In-depth study of sensor fusion technologies and practical data processing for autonomous perception through real-world, problem-based projects.
Deep Learning Based Image Recognition
Advanced course focused on researching and deploying contemporary image recognition solutions through independent study and practical model implementation.
Teaching Philosophy
"My goal is to inspire students to explore the frontiers of AI and robotics, combining rigorous theoretical foundations with hands-on practical experience."
Innovation
Encouraging creative problem-solving and novel approaches
Hands-On
Learning by doing through projects and experiments
Collaboration
Building teamwork and communication skills