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Staff Profile

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Ts. Dr. Miko Chang May Lee

Senior Lecturer
PhD (NUS Graduate School for Integrative Sciences and Engineering, Singapore)
BEng (First Class Hons) (National University of Singapore, Singapore)

Faculty of Engineering, Computing and Science

Office No:+60 82 260 992
Fax No:+60 82 260 813
Room No: E617, Building E, FECS
Email: mchang@swinburne.edu.my
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Biography

Miko Chang joined Swinburne University of Technology Sarawak Campus (SUTS) in 2021 as a senior lecturer in the field of data science and advanced analytics. Miko received her PhD from NUS Graduate School for Integrative Sciences and Engineering in 2019 and a Bachelor of Engineering (Biomedical Imaging) with First Class Honours from National University of Singapore (NUS) in 2014. She has teaching experience in NUS for CS1010E Programming Methodology and BN3201 Bio-mechanics. Prior to joining SUTS, Miko Chang has worked with numerous multi-national companies including MSD Singapore, Country Garden (China), HILTI (Europe) and a Sarawakian company NAIM Holdings.

During her career with HILTI Group as a Global IT Data Scientist, she was involved in a wide range of industrial data science projects including customer engagement analysis, financial sales forecasting, logistics demand forecasting and ad-hoc data science tasks. She helped setting-up the Data Science and Analytics Community and was the scrum master for the data science team who advocated agile methodology in the organisation. Combining both her academic and industrial experience, her current research focuses on data science and analytics, data-driven applications for digital economy, data-centric AI and data governance.

Research Interests

  • Data science and analytics
  • Digital twin and digital economy
  • Data-centric AI
  • Data governance

Professional Memberships

  • Malaysia Board of Technologists (MBOT), Professional Technologist (ICT), 2022
  • IEEE Malaysia Section, Member, 2022
  • Board of Engineers Malaysia (BEM), Graduate Engineer (Electrical Engineering), 2021

PhD/Master by Research Opportunities

Potential research higher degree candidates are welcome to enquire about postgraduate opportunities in the areas listed above. Please e-mail mchang@swinburne.edu.my for more information.

Awards

  • HILTI IT Competition “Augmented Reality & the Internet of Things in the Construction Industry” Champion, 2018, Malaysia
  • NGS Scholar (NGSS), 2014, NUS, Singapore
  • NUS 28th Faculty of Engineering Innovation and Research High Achievement Award, 2014, Singapore
  • ASEAN Undergraduate Scholarship, 2010, NUS, Singapore

Research Grants

  • 2023 – Principal Investigator, Fundamental Research Grant Scheme (FRGS) on A Novel Patient-specific Heart Digital twin from tagged CMR Images for Early Detection and Prognosis of Heart Abnormalities, Amount: RM 117,500
  •  2023 – Co Investigator, Fundamental Research Grant Scheme (FRGS) on Exploring the Fundamentals and Potential of Knowledge Graphs and Natural Language Generation for Personalized Healthcare Recommendations in the Diabetes Domain, Amount: RM 115,000
  • 2023 – Principal Investigator, Project Golden Digital Class, ASEAN DLP AYAG Malaysia Sub-Grant, Amount: RM 26,000

Publications

  • Journal paper S. K. Ong, M. M. L. Chang & A. Y. C. Nee (2021). Product disassembly sequence planning: state-of-the-art, challenges, opportunities and future directions. International Journal of Production Research, 59:11, 3493-3508. https://doi.org/10.1080/00207543.2020.1868598
  • Journal paper C. Y. Siew, M. M. L. Chang, S. K. Ong, A. Y. C. Nee (2020). Human-oriented maintenance and disassembly in sustainable manufacturing. Computers & Industrial Engineering, 150, 106903. https://doi.org/10.1016/j.cie.2020.106903
  • Journal paper M. M. L. Chang, A. Y. C. Nee & S. K. Ong (2020). Interactive AR-assisted product disassembly sequence planning (ARDIS). International Journal of Production Research, 58:16, 4916-4931. https://doi.org/10.1080/00207543.2020.1730462
  • Journal paper S. Sampath, A. S. Parimal, W. Huang, E. Manigbas, W. Gsell, M. M. L. Chang, A. Qiu, K. Jacobsen, J. L. Evelhoch, C.-L. Chin (2019). Quantification of regional myocardial mean intracellular water lifetime: A nonhuman primate study in myocardial stress. NMR in Biomedicine 33 (4), e4248. https://doi.org/10.1002/nbm.4248
  • Journal paper S. Sampath, A. S. Parimal, D. Feng, M. M. L. Chang, R. Baumgartner, M. Klimas, K. Jacobsen, E. Manigbas, W. Gsell, J. L. Evelhoch, and C.-L. Chin (2017). Quantitative MRI biomarkers to characterize regional left ventricular perfusion and function in nonhuman primates during dobutamine-induced stress: A reproducibility and reliability study. J. Magn. Reson. Imaging, 45, 556-569. https://doi.org/10.1002/jmri.25379
  • Conference paper Chang, M. M. L., Ong, S. K., & Nee, A. Y. C. (2017). AR-guided Product Disassembly for Maintenance and Remanufacturing. Procedia CIRP, 61, 299-304. https://doi.org/10.1016/j.procir.2016.11.194
  • Conference paper Chang, M. M. L., Ong, S. K., & Nee, A. Y. C. (2017). Approaches and challenges in product disassembly planning for sustainability. Procedia CIRP, 60, 506-511. https://doi.org/10.1016/j.procir.2017.01.013
  • Conference paper Chang M. M. L., Ong S. K. , Nee A. Y. C. (2016) Automatic Information Positioning Scheme in AR-assisted Maintenance Based on Visual Saliency. In: De Paolis L., Mongelli A. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2016. Lecture Notes in Computer Science, vol 9768. Springer, Cham. https://doi.org/10.1007/978-3-319-40621-3_33