Dr Tan Ee Xion

Dr Tan Ee Xion

  • Senior Lecturer
Department of Data Science and Artificial Intelligence
  • School of Computing and Artificial Intelligence
Faculty of Engineering and Technology
SDGs Focus

Biography

Ts. Dr Tan Ee Xion received her PhD, M.Sc. IT and BCompSc from Monash University. She is specialising in health informatics and information systems. With extensive experience in higher education, she integrates computing and healthcare to advance digital health analytics and intelligent health systems. Her research focuses on applying data engineering, predictive analytics and machine learning to improve healthcare outcomes and management. With extensive experience in interdisciplinary education, Dr Tan integrates computing and health sciences to develop innovative, evidence-based approaches to health informatics research and curriculum design. Her current projects explore AI-enabled hospital analytics, clinical informatics, and intelligent health systems.

Academic & Professional Qualifications

  • PhD, Monash University, Malaysia (2016)
  • M.Sc. IT, Monash University, Malaysia (2005)
  • BCompSc, Monash University, Australia (2001)

Research Interests

  • Health Informatics and Digital Health Analytics
  • Machine Learning and Predictive Modelling
  • Data Engineering
  • Intelligent Health Information Systems

Teaching Areas

  • Programming
  • Data Engineering
  • Machine Learning
  • Data Analytics

Courses Taught

  • Functional Programming
  • System Analysis and Designs
  • Data Analytics
  • Data Engineering

Notable Publications

  1. Omar, U. F., Lim, V. E., Huang, S., E. X. Tan, & Rajaratnam, V. (2025). Evaluation of biodegradable temporising matrix for functional and aesthetic outcomes in hand soft tissue defect: A three-year retrospective study. Plastic and Reconstructive Surgery 鈥 Global Open. https://doi.org/10.1097/GOX.0000000000006909. SDG 3 鈥 Good Health and Well-being
  2. E. X.Tan, V. Rajaratnam, 鈥淭ransformative Digital Leadership - Integrating Digital Health and Credentialing Innovations鈥, Digital Leadership for Sustainable Higher Education, IGI Global, 2025, https://doi.org/10.4018/979-8-3693-9989-7.ch003 SDG 4 鈥 Quality Education
  3. S. Y. Lee & E. X. Tan. The Role of AI-Driven Support Systems in Reducing Nurse Turnover: A Systematic Review of Effectiveness and Perceptions. 14th International Conference on Information Technology in Asia 2025 (CITA 2025).  SDG 3 鈥 Good Health and Well-being
  4. N. A. Rahman, E. X.Tan, V. Rajaratnam. "Revolutionising Healthcare through Generative AI in Industry 5.0," Book Chapter in Industry 5.0: Design, standards, techniques and applications for manufacturing, IET, 2024, https://doi.org/10.1049/PBME026E_ch7  SDG 9 鈥 Industry, Innovation and Infrastructure
  5. L. Nicholas, W. W. Goh, E. X. Tan. 鈥淥versampling Social Media-Sourced Image Datasets for Better Deep Learning Classification of Natural Disaster Damage Levels鈥 International Journal of Advanced Computer Science and Applications(ijacsa), 15(7), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150731  SDG 11 鈥 Sustainable Cities and Communities
  6. S. Al-Yadumi, E. X. Tan, W. W. Goh and B. Patrice, "Review on Integrating Geospatial Big Datasets and Open Research Issues," in IEEE Access, vol. 9, pp. 10604-10620, 2021, https://doi.org/10.1109/ACCESS.2021.3051084 SDG 9 鈥 Industry, Innovation and Infrastructure
  7. D. Didar, W. W. Goh, E. X. Tan, 鈥淓EG-based emotion recognition: Review of commercial EEG devices and machine learning techniques,鈥 Journal of King Saud University - Computer and Information Sciences, 2021, https://doi.org/10.1016/j.jksuci.2021.03.009 SDG 3 鈥 Good Health and Well-being
  8. S. Al-Yadumi, W. W. Goh, E. X. Tan, N.Z. Jhanjhi, and B. Patrice. 鈥淢ultimatcher Model to Enhance Ontology Matching Using Background Knowledge,鈥 Information. 2021; 12(11):487. https://doi.org/10.3390/info12110487  SDG 9 鈥 Industry, Innovation and Infrastructure
  9. E. X. Tan, 鈥淚mproving Logical Thinking Skills through Jigsaw-based Cooperative Learning Approach鈥, Book Chapter in Preparing 21st Century Teachers for Teach Less, Learn More (TLLM) Pedagogies, IGI Global, 2020, https://doi.org/10.4018/978-1-7998-1435-1.ch010 SDG 4 鈥 Quality Education
  10. D. Didar, W. W. Goh, E. X. Tan, 鈥淎 Machine Learning Approach to EEG-based Prediction of Human Affective States Using Recursive Feature Elimination Method,鈥 14th EURECA 2020 鈥 International Engineering and Computing Research Conference, https://doi.org/10.1051/matecconf/202133504001 . SDG 3 鈥 Good Health and Well

Achievements & Accolades

Awards

  1. Best Conference Paper Award, International Conference on Advances in Cyber Security, ACeS 2019

Gold Medal

  1. Malaysia Technology Expo (MTE) 2011 1 Gold Medal

Silver Medal

  1. Malaysia Technology Expo (MTE) 2009 1 Silver medal
  2. Malaysia Technology Expo (MTE) 2010 2 Silver medals

Bronze Medal

  1. International University Carnival on e-Learning (IUCEL) 2019 bronze medal
  2. International University Carnival on e-Learning (IUCEL) 2018 bronze medal

Grants

  • Co-Researcher, FRGS National Grant
  • Project: Machine Learning Analysis of Neonatal Death and Hospital Length-of-Stay
  • Duration: Oct 2023 鈥 Sep 2026
  • Amount: MYR 83,750

     

 

 

Professional Associations

  1. Association for Computing Machinery (ACM), Professional Member
  2. Technologist Professional, MBOT HRD Corp Accredited Trainer,
  3. HRDCorp Professional Requirements Engineering-Foundation Level (CPRE-FL), MSTB