Dr Patrick Pang is currently a Lecturer (equivalent to an Assistant Professor) and a PhD supervisor in the Faculty of Applied Sciences at Macao Polytechnic University (MPU). He received his PhD from the University of Melbourne and held appointments at the University of Melbourne and Victoria University before joining MPU. He was the recipient of the Early Career Researcher Award of the University of Melbourne and the Funding Scheme for Postdoctoral Researchers from the Macao Science and Technology Development Fund (FDCT). His research interests include natural language processing (NLP), digital health and educational technologies. His interdisciplinary work seeks to build AI applications for health and education, thanks to his many years of industry experience in designing and building IT systems. His work has been published in prestigious journals such as Journal of Medical Internet Research (SCI Q1), Internet Research (SSCI Q1), Information Processing and Management (SCI Q1) and Future Generation Computer Systems (SCI Q1).
At the moment, he has two major research directions:
Medical NLP: This research direction combines text mining and machine learning techniques to extract useful information from medical records and text-based health data, for enhancing healthcare outcomes and patient experience. The applications of this research direction span across clinical, consumer and public health perspectives. Recent projects include patient-centred medical report generation, NLP for quality and patient safety, and improving the explainability of medical AI models with NLP.
AI in Education: This research stream applies AI and information technologies to improve education. My work interconnects multiple disciplines including human-computer interaction, educational technologies and information visualisation to enhance teaching, learning and data analysis in all levels of education. Recent projects comprise of AI-driven warning system for risk students, innovative technologies for communicating complex messages, and personalised information visualisations for presenting learning feedback.
For current MSc and prospective PhD students looking for supervision, please visit this page for more information. Students with different backgrounds, for example, computer science, information system management, data science, interaction design and educational technologies, are welcome.
Recent News and Activities
Exploring the Factors and Moderators Influencing the Use of Radar Visualisation of Student Performance from Parents’ PerspectiveProceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE 2023), 2023, Auckland, New Zealand, 27 Nov - 1 Dec 2023
arXiv, 2023, 2307.10512 [cs.CL], doi:10.48550/arXiv.2307.10512
Participatory Design and Evaluation of the “Stem Cells Australia” Website for Delivering Complex Health Knowledge: Mixed Methods StudyJournal of Medical Internet Research, 2023, 25, e44733, doi:10.2196/44733
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Macao Polytechnic University
Rua de Luís Gonzaga Gomes, Macao SAR, China