dr. Sharon Ong

Bio

I am an Assistant Professor in the Department of Cognitive Sciences and Artificial Intelligence. My research focuses on artificial intelligence for image and video analysis.  In particular, I am interested in segmentation of biomedical images and tracking of multiple agents to automatically extract insightful information and to create computational models.

Prior to joining Tilburg University, I was a Research Scientist at the Singapore-MIT Alliance for Research and Technology (SMART) Centre in the BioSystems and Micromechanics (BioSyM) interdisciplinary research group. I received my PhD degree in Field Robotics from the University of Sydney, Australia in 2008. I received a Bachelor of Engineering (Mechatronics) from the University of Sydney in 2003. 

Expertise

Image Analysis, Object Tracking, Information Fusion, Machine Learning, Stochastic Filtering, Bayesian Estimation

Courses

• Master thesis/Data Science in Action
• Bachelorthesis CSAI
• RS: Image Analysis
• RS: Spatiotemporal Data Analysis

Recent publications

1. Predicting Vasovagal Reactions to Needles from Facial Action Units

   Rudokaite, J., Ertugrul, I. O., Ong, S., Janssen, M. P., & Huis in 't Veld, E. (2023). Predicting Vasovagal Reactions to Needles from Facial Action Units. Journal of Clinical Medicine, 12(4), 1-14. Article 1644.

2. A deep learning-based approach to detect and segment osteolytic bone …

   Ong, S., van Leeuwen, M., Saygili, G., Hoff , W., Heres, M., van Oudheusden, T., Steunenberg, B., Kint, R., Bosma, G., & Ranschaert, E. (2022). A deep learning-based approach to detect and segment osteolytic bone lesions in whole-body, low-dose CT imaging of multiple myeloma patients. Poster session presented at EuSoMII Annual Meeting 2022 ‘Your portal to AI’, Valencia, Spain.

3. Predicting vasovagal reactions to a virtual blood donation using faci…

   Rudokaite, J., Ong, LL. S., Janssen, M. P., Postma, E., & Veld, E. H. I. . (2022). Predicting vasovagal reactions to a virtual blood donation using facial image analysis. Transfusion, 62(4), 838-847.

4. Superpixel-based Context Restoration for Self-supervised Pancreas Seg…

   van Donkelaar, S., Daamen, L., Andel, P., Zoetekouw, R., & Ong, S. (2022). Superpixel-based Context Restoration for Self-supervised Pancreas Segmentation from CT scans. Paper presented at 34rd Benelux Conference on Artificial Intelligence and the 31th Belgian Dutch Conference on Machine Learning , Mechelen, Belgium.

5. Producing "Open-Style" Choreography for K-Pop Music with Deep Learning

   Ban, S., & Ong, S. (2021). Producing "Open-Style" Choreography for K-Pop Music with Deep Learning. Abstract from 33rd Benelux Conference on Artificial Intelligence and the 30th Belgian Dutch Conference on Machine Learning , Luxembourg, Luxembourg.