Teaching教學
Courses taught at National Taiwan University of Science and Technology國立臺灣科技大學授課課程
Courses課程
Graduate and undergraduate courses 研究所與大學部課程
Multimedia Information Systems多媒體系統
Advanced exploration of Multimodal Machine Learning (MMML), emphasizing mathematical foundations and state-of-the-art models for integrating linguistic, acoustic, and visual data streams.
深入探討多模態機器學習（MMML），著重數學基礎與前沿模型，整合語言、聲學與視覺資料流。
AI-Based Visual Inspection智慧視覺檢測
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.
運用先進 AI 技術於精密視覺分析，涵蓋醫學病灶偵測與工業缺陷檢測，以真實資料集進行實作模型訓練。
Automated Sensing and Smart Data Acquisition自動化感測與智慧資料擷取
In-depth study of sensor fusion technologies and practical data processing for autonomous perception through real-world, problem-based projects.
深入研究感測器融合技術與自主感知的實用資料處理，透過真實情境的問題導向專題實作。
Deep Learning Based Image Recognition基於深度學習之影像辨識
Advanced course focused on researching and deploying contemporary image recognition solutions through independent study and practical model implementation.
以自主研究與實作模型為核心，探索並部署當代影像辨識解決方案的進階課程。
Teaching Philosophy教學理念
"My goal is to inspire students to explore the frontiers of AI and robotics, combining rigorous theoretical foundations with hands-on practical experience."「我的目標是啟發學生探索 AI 與機器人的前沿，將嚴謹的理論基礎與實作經驗融為一體。」
Innovation創新思維
Encouraging creative problem-solving and novel approaches鼓勵創意解題與突破傳統的新穎方法
Hands-On動手實作
Learning by doing through projects and experiments透過專題與實驗，在做中學
Collaboration協作精神
Building teamwork and communication skills培養團隊合作與溝通能力