About Me

I am currently a volunteering postdoctoral researcher at the e-Media Research Lab at KU Leuven. I hold a Ph.D. in Engineering Technology from the Department of Electrical Engineering (ESAT), KU Leuven, where I worked under the supervision of Prof. Dr. Bart Vanrumste. As part of the FOG-IT project, I developed deep learning methods to detect and assess freezing of gait in Parkinson’s disease using wearable sensors.

My research focuses on artificial intelligence for healthcare applications, with broader interests in human behavior analysis, including multimodal motion understanding, sensor-based activity modeling, and human–technology interaction.

News

• Dec 2025 We will organize a special sessionstrong> titled “Advanced Time-Series Modeling for Wearable-Based ADL Monitoring in Healthcare” at the 34th European Signal Processing Conference (EUSIPCO 2026), held in Bruges, Belgium.
• Sep 2025 Successfully defended my PhD thesisstrong>, “Automated Detection and Assessment of Freezing of Gait in Parkinson's Disease using Wearable Sensors and Machine Learning.”
• June 2025 Poster presentation at ICFOG 2025, Atlanta, USA
• June 2025 Poster presentation at ISPGR 2025, Maastricht, Netherlands

Experience

• Oct 2021 – Sep 2025Ph.D. Researcher, KU Leuven
• Jul 2020 – Aug 2020Summer Intern, Nokia Bell Labs (APSS Lab), Antwerp
• Jun 2018 – Mar 2019Research Intern, Mobile Comms Network Lab, NCTU
• Jul 2018 – Dec 2018Intern, ITRI, Taiwan
• Sep 2017 – Dec 2018Undergrad Researcher, NCTU

Education

• Oct 2021 – Sep 2025Ph.D., Engineering Technology, KU Leuven
• Sep 2019 – Sep 2021M.Sc., Computer Science (Cum laude), KU Leuven
• Apr 2019 – Sep 2019Exchange Program, RWTH Aachen, Germany
• Sep 2015 – Jun 2019B.Sc., Computer Science & Engineering, NCTU

Honors & Grants

• 2025 Our paper was selected as a Most Cited Paper in JNER in 2024: JNER Article Link
• 2025FWO Travel Grant for ICFOG 2025
• 2019KU Leuven–Taiwan Scholarship
• 2018Highest Distinction Award, NCTU
• 2018Popular Award (2nd Runner-up), NCTU

Academic Service

• Reviewer – Journals:
  • Scientific Reports
  • IEEE Access
  • Artificial Intelligence in Medicine
• Reviewer – Conferences:
  • IEEE EMBC 2024
• Master Thesis Co-supervisor:
  • Supervised 6 master students
• Teaching Assistant:
  • Pathways to Sustainability (2021)
  • Machine Learning (2022–2024)
  • Engineering Experience II (2022)
  • Applied AI: ML in Healthcare (2022–2023)

Publications & Citations

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