Staff Profile

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Professor Patrick Then

Professor of Computer Science
Head, School of Information and Communication Technologies

Director, Centre for Digital Futures

Program Leader (Sarawak), Swinburne Melbourne Data Science Institute

Board member, Sarawak Development Institute

PhD in IT, University Malaysia of Sarawak (UNIMAS)

Faculty of Engineering, Computing and Science

Office No:+60 82 260 682
Fax No:+60 82 260 813
Room No: E305, Building E, FECS
Email: pthen@swinburne.edu.my
Scopus   ORCID


Professor Patrick Then heads School of Information and Communication Technologies at Swinburne University of Technology Sarawak Campus and Health Informatics cluster at Swinburne Melbourne Data Science Institute. He is the founder and director of Swinburne Sarawak’s Digital Innovation Precinct and Centre for Digital Futures. He is the thought leader in health informatics and digital health research and development. His recent research in digital health was selected as one of five Asia-Pacific representations to be presented at the inaugural Digital Summit by the European Society of Cardiology at Tallinn, Estonia in October 2019. He demonstrated translational research from fundamental research to solving real-life cardiac challenges faced by clinicians and patients.

He has established his unique partnership in both research and entrepreneurial projects with healthcare service providers from both public and private sectors since more than a decade ago. His research in digital health has spanned across chronic disease management, especially in cardiology and diabetes, to public health management notably covid19 surveillance and management. On top of academic and research recognition, his innovative works in managing covid19 has been recognised by the Sarawak state government and Sarawak State Health Department. He is a key opinion leader who is highly sought-after by local media such as Astro, The Star, The Borneopost and TV Sarawak.
Under his leadership, School of ICT and Centre for Digital Futures have been attracting research funding of no less than RM5 million in the recent years. He is also a dedicated mentor for young talents. He has supervised and graduated more than 10 higher degree research students. His research team members and students won numerous best paper awards in various ICT conferences.

He holds distinguished roles as the Board member of Sarawak Development Institute, Vice President of Society for Design and Process Science USA, panel of the prestigious Yayasan Tun Taib scholarship, and technical committee of Malaysian Standards’ Software and System Engineering.

Research Interests

  • Digital health
  • Artificial Intelligence and Data Science

Professional Memberships

  • Fellow, Society for Process and Design Science, USA
  • Senior Member, IEEE
  • Senior Member, Australian Computer Society
  • Professional Member, European Society of Cardiology
  • Affiliate Member, National Heart Association Malaysia
  • Technical Committee, Standards Malaysia
  • Certified Professional, Australian Computer Society

PhD/Master by Research Opportunities

PhD and MICT(Research) scholarships in Digital Health, Artificial Intelligence and Data Science

Research Grant





Chronic Disease Management digital platform

Ubisson Sdn Bhd.


Determining the discriminative features of Retinal Vein Occlusion images for Prediction of Cardiovascular Disease using weakly-supervised deep learning methods


(Fundamental Research Grant Scheme, Ministry of Higher Education)


Explainable Artificial Intelligence (XAI) for Lung Disease Diagnosis and Severity Classification using Deep Learning



Research Performance Monitoring System

Sarawak Research and Development Council (SRDC)


Smart Chronic Disease Management App

Prototype Research Grant Scheme (PRGS) MOHE


Investigating the Adoption and Contribution of Literature-Based Discovery Methods towards Clinical Research Ideation among Investigator Initiated Research Projects in Malaysia



Deep Retinal Classifier: Automatic Detection of Retinal Vein occlusion using Convolution Neural Network (CNN) Approach in Fundus Eye Images

Smart Challenge Fund – Strategic R&D, Ministry of Science, Technology and Innovation


Feasibility Study on the Deployment of the Practical Internet Framework for Future Rural Area Digital Infrastructure Development 

Sarawak Multimedia Authority


A Proposed Variable Parameters (VP) Multivariate Coefficient of Variation (MCV) Chart Integrating Advanced Data Visualization Platform for Sustainable Smart Manufacturing

Sarawak Multimedia Authority


Automated Smart Precise Agriculture System Using IoT and Big Data Analysis for Optimizing Pepper Yield

Sarawak Multimedia Authority


  • 2019 Swinburne Melbourne Vice-Chancellor’s Engagement Award, Highly Commended for project titled Industry Revolution-4.0 Digital Waste Management Platform.
  • 2018 Swinburne Melbourne Vice-Chancellor’s Engagement Award, Highly Commended for project titled Industry Revolution-4.0 Awareness Program.
  • Best Paper Award, Advances in Diabetes Analytics from Clinical and Machine Learning Perspectives, the International Conference on Recent Advancements in Computing, IoT and Computer Engineering Technology (CICET 2017)
  • 2014 Excellence in Leadership by the Society for Design and Process Science (SDPS), USA.