新進教師專訪：活力注入！新學期新氣象，歡迎新進外籍教師 馬貝庫（Mathunjwa Bhekumuzi Mkhululi）老師加入教學團隊 郭秋明
新進教師專訪：活力注入！新學期新氣象，歡迎新進外籍教師 馬貝庫（Mathunjwa Bhekumuzi Mkhululi）老師加入教學團隊
1_.jpg
3_.jpg
2_.jpg
Dr. Bhekumuzi M. Mathunjwa’s academic career is driven by a strong interest in applying mechanical engineering and artificial intelligence to real-world challenges, particularly in healthcare and aging societies. He earned his Ph.D. in Mechanical Engineering from Yuan Ze University, Taiwan, where his doctoral research focused on AI-driven biomedical signal processing, including ECG-based arrhythmia classification, sleep stage detection, and non-invasive physiological monitoring using deep learning models. During his doctoral studies, he also collaborated with New Era AI Robotic Inc. (N.ERA) on industry–academia research projects.
Following his Ph.D., Dr. Mathunjwa continued his academic career as a postdoctoral researcher, expanding his work smart home sensing, lifestyle monitoring, and gerontechnology. During this period, he collaborated with the Industrial Technology Research Institute (ITRI) on projects involving low-resolution sensor data and participated in the Healthy Aging Ecosystem for People with Dementia (HAAL) initiative. He contributed to research supporting independent living for older adults using intelligent systems, strengthening his ability to translate engineering research practical solutions with meaningful societal impact. He currently serves as Deputy Director of the Gerontechnology Research Center.
His research expertise lies at the intersection of mechanical engineering, artificial intelligence, and healthcare, with an emphasis on intelligent systems for aging populations. His current interests include AI and machine learning for healthcare, smart sensing and lifestyle monitoring, and biomedical signal processing.
In teaching, Dr. Mathunjwa is involved in undergraduate courses such as Applied Mechanics (Statics), Fundamental Computer Programming, Introduction to Artificial Intelligence, and General Physics, as well as graduate courses including Machine Vision and Artificial Intelligence. He emphasizes hands-on, project-based learning to help students build strong fundamentals and confidently apply engineering knowledge to real-world problems.
Dr. Mathunjwa believes education extends beyond technical training to fostering curiosity, resilience, and critical thinking. He looks forward to collaborating with colleagues, mentoring students, and contributing to excellence in education and research while promoting innovation, interdisciplinary collaboration, and social responsibility within the department.