Professor Hong-Jie Dai is a Professor in the Department of Electrical Engineering at National Kaohsiung University of Science and Technology (NKUST) and the Principal Investigator of the Intelligent Systems Lab (ISLab). His research expertise lies in artificial intelligence, natural language processing, biomedical text mining, machine learning, and medical informatics, with a strong emphasis on applying artificial intelligence to real-world healthcare and clinical data.

Professor Dai has extensive experience in interdisciplinary research that bridges computer science and multidisciplinary domains. His work focuses on transforming unstructured clinical text into actionable knowledge, addressing challenges such as sensitive health information protection, clinical concept extraction, and medical language understanding. He actively mentors graduate students and visiting researchers, providing structured guidance while encouraging independent exploration and innovation.

For short-term international master’s students, Professor Dai offers a supportive research environment that emphasizes practical skills, research methodology, and academic growth within a limited time frame.

The Intelligent Systems Lab (ISLab) is a research-oriented laboratory dedicated to developing intelligent algorithms and data-driven systems for real-world applications in healthcare, service industries, agriculture, and industrial environments. The lab integrates techniques from artificial intelligence, machine learning, natural language processing, speech recognition, and computer vision to address complex challenges involving multimodal data, including text, speech, images, and operational data.

ISLab actively conducts applied research in clinical healthcare and service settings, such as speech recognition technologies for clinical consultations and restaurant environments, image recognition applications for clinical medicine and smart agriculture, and artificial intelligence techniques for production line optimisation and industrial process improvement. These research directions emphasise practical deployment, robustness, and domain adaptation in real-world scenarios.

ISLab welcomes short-term international master’s students for research visits ranging from several months to one semester. Visiting students become active members of the lab, working closely with graduate students and researchers in a collaborative and international research environment. Research tasks are designed to be modular, well-defined, and adaptable, enabling visiting students to gain meaningful hands-on research experience within a limited time frame.

The lab values academic integrity, open discussion, and cross-cultural collaboration, and aims to provide visiting students with both solid technical training and exposure to academic research culture in Taiwan, while fostering practical skills applicable to future academic or industry careers.