Dr. Son Tran serves as a Senior Lecturer in Data Science at the School of Information Technology, Deakin University, Australia. He earned his Ph.D. in Computer Science from City, University of London, United Kingdom. Dr. Tran’s research interests are dedicated to building reliable, scalable, and robust artificial intelligence systems aimed at advancing the well-being of humanity. His research has been applied to diverse domains, including agriculture, healthcare, and autonomous systems. Dr. Tran’s contributions are featured in flagship AI conferences and journals such as AAAI, IJCAI, KR, ECIR, SIGIR, IEEE TNNLS, ACM CSUR, and ACM TMM.

News

14-Aug-2025: Our paper “Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines” has been accepted to publish in the Recently Published Track at KR2025 (A*)

20-Jul-2025: Our joint project “Distributed Quantum Optimisation for Machine Learning” between Deakin University and IIT-Madras was selected for funding. We are now recruiting a PhD student. Please contact if you are interested.

25-Mar-2025: Our paper “Parallel Multi-Scale Deep Supervision Net for Hand key point Detection” has been published in Transactions on Big Data. 07-Mar-2025: Our project “Knowledge-Informed Machine Learning for Complex Systems” has been accepted for funding. We are recruiting a research assistant and a domestic PhD, please contact if you are interested and would like to have detailed information.

28-Mar-2024: Our joint project “Computer Vision for Sport Analytics” between Deakin University and IIT-Madras was selected for funding. We are now recruiting a PhD student. Please contact if you are interested.

25-Mar-2024: Our bidding to host KR 2025 in Melbourne is succesful.

15-Jan-2024: Our paper “Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches” has been published in ACM Computing Surveys (joint first author) link preprint code

10-July-2023: I am now a Senior Lecturer at Deakin University. I will be located at Burwood campus, Melbourne but I am working remotely from Tasmania until November this year.

9-July-2023: I have left the University of Tasmania as a full-time academic staff. I will be holding a position of Adjunct Senior Researcher at the School of Information and Communication Technology, the University of Tasmania.

24-May-2023: I gave a talk about “Robust Artificial Intelligence” to the Security Research Group at the University of Melbourne.

20-Nov-2022: Our paper “Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines” has been accepted for publication at AAAI23 (A*, first author, acceptance rate 19.6%)

03-Feb-2022: Our paper “A Self-Learning Approach for Baggiatoa Coverage Estimation in Aquaculture” has been selected for the “Best Application Paper Award” at the 34th Australasian Joint Conference on Artificial Intelligence.

04-Nov-2021: Welcome to Machine Learning Tasmania community (link). Our open community aims to connect researchers, Machine Learning enthusiasts, and businesses in Tasmania.

10-Aug-2021: Our Aus4Innovation grant application has been successful ( media-1, media-2, media-3)

27-Jul-2021: My AI for Decision Making Innitiative grant has been successful. The grant is funded by Defence Science Institute.

30-Apr-2021: My paper “Compositional Neural Logic Programming” has been accepted for presentation at IJCAI-21 (Rank A*, sole author).

12-Mar-2021: Our paper “Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition” has been accepted for publication in IEEE Transactions on Multimedia (Rank A*, IF 6.051)

05-Jun-2020: Our paper “Neural-Symbolic Probabilistic Argumentation Machines” has been accepted for publication in KR 2020 (Rank A*, joint first author).

29-May-2020: Our paper “Mixed-dependency models for multi-resident activity recognition in smart homes” has been accepted for publication in Multimedia Tools and Applications (first author).

11-Jan-2020: Our paper “Sequence Classification Restricted Boltzmann Machines with Gated Units” has been accepted for publication in IEEE TNNLS (Rank A*, IF 11.683, Q1, first author).

05-Jan-2020: Our chapter “Towards Multi-resident Activity Monitoring with Smarter Safer Home Platform” has been published in the book “Smart Assisted Living”, Springer (first author).