Biography summary
Dr Truyen Tran is Professor at Deakin University where he is leading a world-class research team on competent and human-compatible AI through advanced machine learning. He and his team have made numerous contributions in deep learning, machine reasoning, unifying language and vision, cognitive architectures and social AI. As Head of AI, Health and Science, he leads the effort to push the transformation of science, healthcare and engineering through AI. These include efficient exploration of molecular space, acceleration of drug discovery, materials characterisation, battery design and optimisation, and automation of software engineering. Dr Tran has received multiple recognitions, awards and prizes for his research contributions at top AI conferences and journals. He holds a BSc. from the University of Melbourne (2001) and a PhD in Computer Science from Curtin University (2008)
Research interests
I'm pushing the frontiers of AI by:
÷ Unlocking intelligence,
÷ Designing competent, human-compatible intelligent machines, and
÷ Transforming physical and digital fields through AI.
Teaching interests
Artificial Intelligence
Machine Learning
Data Science
Health Analytics
Units taught
Data Science Concepts (SIT-112)
Knowledge areas
Artificial intelligence
Machine learning
Machine reasoning
Differentiable programming
Artifiial social intelligence
Deep learning
Computer vision
Health analytics
Bioinformatics
Materials informatics
Chemoinformatics
Drug discovery
Expertise
- Artificial intelligence
Media appearances
Defence signs Deakin, UniSA for AI projects, itnews, March 6, 2023
Numbers key to suicide risk, Geelong Advertiser, Feb 2, 2015
CRESP award for excellent paper, Deakin research news, Dec 1, 2014
Research groups
Deakin AI Research (DAIR)
AI, Health and Science, A2I2
Awards
2018: Research award, SIT, Deakin
2016: ADMA'16 Best student paper runner-up
2015: PAKDD'15 Best student paper runner-up
2015: ACM SIGSOFT Distinguished Paper Award.
2014: CRESP Best Paper Award
2014: Team third prize in the Galaxy Zoo challenge
2013: Team best tech ward in Geelong
2009: UAI'09 Best paper runner-up
2008: Chancellor Commendation, Curtin University
2004: International Postgraduate Scholarship, Curtin University
2000: Dean's Honour List
1999: AusAID Scholarship
1997: Silver Medal, International Physics Olympiad (IPhO)
Projects
ARC Hub: Better digital living
Defence: AI for noisy dynamic data.
Cerenral Palsy Alliance: Early risk assessment of gerebral palsy using video analytics
ARC DP: Algorithmic assurance
MRFF: Reinforcement learning for characterising eating disorders on social media
MRFF: AI for mental health
Battery: Lifecycle forecasting
Science: Foundation models
Publications
No publications found
Funded Projects at Deakin
Australian Competitive Grants
ARC Research Hub for Digital Enhanced Living
Prof Kon Mouzakis, Prof Svetha Venkatesh, Prof Anthony Maeder, Prof Alison Hutchinson, Prof Michael Berk, Prof Ralph Maddison, Prof Abbas Kouzani, Prof Rajesh Vasa, Prof Helen Christensen, Prof Patricia Williams, Prof John Yearwood, Prof Susan Gordon, Prof David Powers, A/Prof Niranjan Bidargaddi, A/Prof Santu Rana, Prof Truyen Tran, Prof Sunil Gupta, Dr Wei Luo, A/Prof Mohamed Abdelrazek, Dr Felix Tan, Prof Henning Langberg, A/Prof Lars Kayser, Prof Finn Kensing, Prof Freimut Bodendorf, Prof James Warren, Dr Roopak Sinha, Prof A Smeaton, Mr Fonda Voukelatos, Mr John Fouyaxis, Dr Kit Huckvale, Prof John Grundy, Nicole Cockayne, David Varley, Dr Leonard Hoon, Dr Tanya Petrovich, Matthew Macfarlane, Dr Anju Kissoon Curumsing, Dr Tom McClean, Ms Sharon Grocott, Dr Scott Barnett, Prof Deborah Parker, Prof Jean-Guy Schneider, A/Prof Carsten Rudolph, Dr Jessica Rivera Villicana, Prof Nilmini Wickramasinghe, Mr Fernando Escorcia, Dr Gnana Bharathy
ARC Industrial Transformation Research Hubs
- 2023: $18,750
- 2021: $388,477
- 2020: $385,381
- 2019: $399,716
- 2018: $449,083
- 2017: $601,698
Leveraging digital technology to reduce the prevalence and severity of eating disorders in Australia
Prof Matthew Fuller-Tyszkiewicz, Prof Susan Paxton, Dr Scott Griffiths, Prof Truyen Tran, Dr Sian McLean, Dr Zali Yager, A/Prof Rachel Rodgers, Prof Cathrine Mihalopoulos, Prof Denise Meyer, Dr Alexandra Parker
MRFF Million Minds Mission Grant Opportunity
- 2022: $190,322
- 2021: $151,556
- 2019: $499,380
A Generic Framework for Verifying Machine Learning Algorithms
Prof Svetha Venkatesh, Prof Sunil Gupta, A/Prof Santu Rana, Prof Truyen Tran
ARC - Discovery Projects
- 2023: $133,116
- 2022: $125,478
- 2021: $122,286
Optimising treatments in mental health using AI
Prof Helen Christensen, Prof Svetha Venkatesh, Prof Henry Cutler, Ms Ros Knight, Dr Martin Laverty, Prof Sunil Gupta, A/Prof Santu Rana, Prof Truyen Tran, Dr Thomas Quinn, Prof Rajesh Vasa, Prof Kon Mouzakis
MRFF (DISER) - Applied Artificial Intelligence Research in Health
- 2023: $690,221
- 2022: $999,770
- 2021: $1,431,416
Other Public Sector Funding
Al Algorithmic Assurance
Prof Svetha Venkatesh, Prof Sunil Gupta, A/Prof Santu Rana, Prof Truyen Tran, Dr Anh Cat Le Ngo, Dr Phuoc Nguyen, Mr Stephan Jacobs, Dr Dang Nguyen
Department of Defence
- 2021: $248,140
- 2020: $208,820
- 2019: $80,640
Defence Applied Al Experiential CoLab
Prof Svetha Venkatesh, Prof Sunil Gupta, A/Prof Santu Rana, Prof Truyen Tran
DSTO Grant - Research - Defence Science & Technology Organisation
- 2021: $100,000
- 2020: $873,495
In relation to Assuring an off-the-shelf AI algorithm
Prof Sunil Gupta, Prof Truyen Tran, A/Prof Santu Rana, Prof Svetha Venkatesh, Dr Phuoc Nguyen, Mr Tiep-Trong Nguyen, Mr Stephan Jacobs
Defence Science and Technology Group - Department of Defence
- 2022: $85,000
- 2021: $168,034
Coupled self-supervised learning and deep reasoning for improved processing of noisy and dynamic multimodal data from multiple sources.
Prof Truyen Tran, A/Prof Shannon Ryan, Prof Sunil Gupta, A/Prof Santu Rana, Prof Svetha Venkatesh
Department of Defence
- 2022: $105,364
Coupled self-supervised learning and deep reasoning for improved processing of noisy and dynamic multimodal data from multiple sources
Prof Truyen Tran, A/Prof Shannon Ryan, Prof Sunil Gupta, A/Prof Santu Rana, Prof Svetha Venkatesh
Defence Science and Technology Group - Department of Defence
- 2024: $200,000
- 2023: $423,000
Industry and Other Funding
Predicting software components containing safety hazards using deep learning
Dr Hoa Khanh Dam, Prof Aditya Ghose, Prof Truyen Tran, Prof John Grundy
Samsung Advanced Institute of Technology - Global Research Outreach Program
- 2017: $52,397
ARC Research Hub for Digital Enhanced Living
Prof Kon Mouzakis, Prof Svetha Venkatesh, Prof Anthony Maeder, Prof Alison Hutchinson, Prof Michael Berk, Prof Ralph Maddison, Prof Abbas Kouzani, Prof Rajesh Vasa, Prof Helen Christensen, Prof Patricia Williams, Prof John Yearwood, Prof Susan Gordon, Prof David Powers, A/Prof Niranjan Bidargaddi, A/Prof Santu Rana, Prof Truyen Tran, Prof Sunil Gupta, Dr Wei Luo, A/Prof Mohamed Abdelrazek, Dr Felix Tan, Prof Henning Langberg, A/Prof Lars Kayser, Prof Finn Kensing, Prof Freimut Bodendorf, Prof James Warren, Dr Roopak Sinha, Prof A Smeaton, Mr Fonda Voukelatos, Mr John Fouyaxis, Dr Kit Huckvale, Prof John Grundy, Nicole Cockayne, David Varley, Dr Leonard Hoon, Dr Tanya Petrovich, Matthew Macfarlane, Dr Anju Kissoon Curumsing, Dr Tom McClean, Ms Sharon Grocott, Dr Scott Barnett, Prof Deborah Parker, Prof Jean-Guy Schneider, A/Prof Carsten Rudolph, Dr Jessica Rivera Villicana, Prof Nilmini Wickramasinghe, Mr Fernando Escorcia, Dr Gnana Bharathy
Interrelate Limited, Aged Care & Housing Group Inc, Health Metrics, Uniting NSW.ACT, Dementia Australia (Alzheimer's Australia) Vic Inc, NeoProducts Pty Ltd, Cancer Council Victoria Grant - Research, Black Dog Institute, Unisono Pty Ltd, Uniting AgeWell, goAct
- 2022: $793,130
- 2020: $553,025
- 2019: $378,745
Fidgety Movement Detection for Robust and Interpretable Cerebral Palsy Risk Assessment
Prof Truyen Tran, Prof Svetha Venkatesh
Cerebral Palsy Alliance Grant - Research
- 2024: $49,168
- 2023: $100,171
- 2022: $51,003
Al Enabled Eyelid Detection
Prof Truyen Tran, Mr Hoang Dang
Medmont International Pty Ltd
- 2022: $10,000
Robust and Explainable Computer-based Video Analysis for Fidgety Movement Detection and Early Identification of Cerebral Palsy
Dr Thao Minh Le, Prof Svetha Venkatesh, Prof Truyen Tran
Cerebral Palsy Alliance Emerging Researcher Grant
- 2024: $35,000
Supervisions
Duy Hung Tran
Thesis entitled: Understanding Human Behaviours in Video: Goals, Dual-Processes and Implicit Priors
Doctor of Philosophy (Information Technology), Applied Artificial Intelligence Institute
Hoang Anh Pham
Thesis entitled: Video-grounded Dialog: Models and Applications
Master of Science (Information Technology), Applied Artificial Intelligence Institute
Hoang Dang
Thesis entitled: Language-guided Visual Reasoning via Deep Neural Networks
Doctor of Philosophy (Information Technology), Applied Artificial Intelligence Institute
Dung Nguyen
Thesis entitled: Towards Social Artificial Intelligence: Roles and Theory of Mind
Doctor of Philosophy (Information Technology), Applied Artificial Intelligence Institute
Thanh Tung Hoang
Thesis entitled: Toward Generalizable Deep Generative Models
Doctor of Philosophy (Information Technology), Applied Artificial Intelligence Institute
Thao Minh Le
Thesis entitled: Deep Neural Networks for Visual Reasoning
Doctor of Philosophy (Information Technology), Applied Artificial Intelligence Institute
Thai Hung Le
Thesis entitled: Memory and attention in deep learning
Doctor of Philosophy (Information Technology), Applied Artificial Intelligence Institute
Duc Kien Do
Thesis entitled: Novel Deep Architectures for Representation Learning
Doctor of Philosophy (Information Technology), Applied Artificial Intelligence Institute
Trang Thi Minh Pham
Thesis entitled: Recurrent Neural Networks for Structured Data
Doctor of Philosophy (Information Technology), School of Information Technology
Shivapratap Gopakumar
Thesis entitled: Machine Learning in Healthcare: An Investigation into Model Stability
Doctor of Philosophy (Information Technology), School of Information Technology
Xuan Duc Nguyen
Thesis entitled: Learning Dependency Structures Through Time Using Neural Networks
Doctor of Philosophy (Information Technology), Applied Artificial Intelligence Institute
Mojtaba Eftekharnia
Thesis entitled: The Manufacturing of High Energy Density Lithium-metal Batteries
Doctor of Philosophy (Engineering), Institute for Frontier Materials
Minh Tri Nguyen
Thesis entitled: Machine Learning for Drug-Target Interaction Prediction
Doctor of Philosophy (Information Technology), Applied Artificial Intelligence Institute
Tang Thanh Nguyen
Thesis entitled: On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency
Doctor of Philosophy (Information Technology), Applied Artificial Intelligence Institute
Romero Fernando Almeida Barata De Morais
Thesis entitled: Human Behaviour Understanding in Computer Vision
Doctor of Philosophy (Information Technology), Applied Artificial Intelligence Institute
Xin Zhang
Thesis entitled: Sparse representation for face images
Doctor of Philosophy (Information Technology), School of Information Technology
Tu Dinh Nguyen
Thesis entitled: Structured representation learning from complex data
Doctor of Philosophy (Information Technology), School of Information Technology