About me
Hi, I'm Son Tran!
I am a computer scientist with a Ph.D. in Computer Science from City, University of London, United Kingdom. My research is dedicated to building reliable, scalable, and robust artificial intelligence systems that advance human well-being. I apply this work across diverse domains, including agriculture, healthcare, and autonomous systems. I am currently a Senior Lecturer at Deakin University. You are welcome to visit my academic webpage.
Research Opportunities
I am always interested in working with motivated students. If you are interested in doing research with me, please send your CV through→.
For PhD applicants: please ensure you meet the following before reaching out:
- Minimum WAM of 80% (and you should have least one first-author paper published in an A/A*/Q1-ranked venue to be competitive for scholarships)
- IELTS score of 6.5 overall or above, with no band below 6.0 (for international applicants)
News
Boundary-Focused Uncertainty for Annotation-Efficient Human-in-the-Loop Thyroid Cartilage Segmentation accepted at WACV 2026!
Transformer-based Kinematics-Informed Trajectory Estimator for 3D Trajectory Forecasting accepted at Machine Learning Journal, and will be presented at ACML 2026 journal track!
FerQ: Fermat Quotient Reformulation of High-Order Binary Optimization accepted at NeurIPS 2026!
Joint Constraint and Threshold Recovery in Inverse Constrained Reinforcement Learning accepted at AJCAI 2026!
Benchmarking deep learning models for laryngeal cancer staging using the LaryngealCT dataset accepted at Scientific Reports!
KITDG: Knowledge-Infused Tabular Data Generation accepted at CIKM 2026!
KC-S2O: Kinematically Constrained Sequence-to-ODE for 3D Trajectory Forecasting accepted at ECML 2026!
Started as a High Degree Research Coordinator at Deakin University.
Gave a talk on AI for Business Analytics at UEB Vietnam National University Hanoi.
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