研究起始於奈米科技與電火花放電製程（ESDM），並延伸至製程控制與設備開發，建立材料與精密工程基礎，並提出電能驅動奈米材料生成法（EDNFM）。其後逐步導入感測技術與系統整合概念，發展智慧設備與跨領域應用。隨著人工智慧與物聯網之發展，研究重心轉向AIoT與數位雙生技術，致力於建構具備即時感測、資料分析與決策支援能力之智慧系統。在AI技術方面，發展多物件追蹤、行為分析與身份延續方法，透過影像辨識與深度學習分析人流與行為特徵，應用於場域狀態判讀與系統優化。在系統整合上，建構結合感測器、無線通訊與雲邊運算之AIoT架構，並應用於智慧校園與建築環境之實場驗證。進一步結合數位雙生技術，實現虛實同步、情境模擬與決策支援。整體研究整合奈米製程至AIoT與數位雙生，並導入能源管理與淨零應用，具備跨域整合與實務落地能力。

        My research originated in nanotechnology, focusing on the Electrical Spark Discharge Method (ESDM) for nanomaterial fabrication, and was further extended to process control and equipment development. This work established a solid foundation in materials science and precision engineering, and led to the proposal of the Electrically Driven Nanomaterial Fabrication Method (EDNFM). Subsequently, I incorporated sensing technologies and system integration concepts to develop intelligent equipment and interdisciplinary applications. With the advancement of artificial intelligence and the Internet of Things, my research focus has shifted toward AIoT and Digital Twin technologies, aiming to build intelligent systems with real-time sensing, data analytics, and decision-support capabilities. In terms of AI applications, I have developed techniques for multi-object tracking, behavior analysis, and identity continuity. By leveraging computer vision and deep learning models, my research analyzes human flow and behavioral patterns, supporting situational awareness and system optimization. For system integration, I have established AIoT architectures that combine sensing devices, wireless communication, and cloud-edge computing, and have validated these systems in real-world applications such as smart campuses and building environments. Furthermore, by integrating Digital Twin technology, I enable real-time synchronization between physical and virtual systems, supporting scenario simulation and decision-making. My research has evolved from nanomanufacturing to AIoT and Digital Twin integration, while incorporating energy management and net-zero applications, demonstrating strong interdisciplinary integration and practical implementation capabilities.