Profile image of Truyen Tran

Prof Truyen Tran

STAFF PROFILE

Position

Head of AI, Health and Science

Faculty

Applied Artificial Intel Inst

Department

A2I2P

Campus

Geelong Waurn Ponds Campus

Qualifications

Graduate Certificate of Higher Education, Deakin University, 2016
Doctor of Philosophy, Curtin University, 2008
Postgraduate Diploma in Science, Curtin University, 2005
Bachelor of Science, University of Melbourne, 2001

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

I have led my team to make advances in multiple areas, inlcluding: 1/ Differential Programming (Memory-augmented neural networks, Neural Turing machines; Learning with sample efficiency: GAN, discovery and semi-supervised learning; Large Language Models; Foundation Models); 2/ Machine Reasoning (Visual reasoning: Question Answering & Dialog in Video and Image; Abstraction and analogy; Deliberation); 3/ Artificial Social Intelligence (Multi-agent reinforcement learning with social, psychological and ethical frameworks); 4/ AI for Health (Electronic Medical Records based diagnosis and prognosis); 5/ AI for Science (Drug design: Repurposing, Drug-Target Binding; Machine learning for materials sciences: Exploring chemical & materials space, inverse design). More at: truyentran.github.io
  • 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

Deep Learning in Australia

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, Prof John Grundy, Dr Kit Huckvale, Nicole Cockayne, Dr Leonard Hoon, David Varley, Dr Tanya Petrovich, Matthew Macfarlane, Dr Anju Kissoon Curumsing, Prof Deborah Parker, Ms Sharon Grocott, Dr Scott Barnett, Dr Tom McClean, Prof Jean-Guy Schneider, A/Prof Carsten Rudolph, Prof Nilmini Wickramasinghe, Dr Jessica Rivera Villicana, 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

  • 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, Prof John Grundy, Dr Kit Huckvale, Nicole Cockayne, Dr Leonard Hoon, David Varley, Dr Tanya Petrovich, Matthew Macfarlane, Dr Anju Kissoon Curumsing, Prof Deborah Parker, Ms Sharon Grocott, Dr Scott Barnett, Dr Tom McClean, Prof Jean-Guy Schneider, A/Prof Carsten Rudolph, Prof Nilmini Wickramasinghe, Dr Jessica Rivera Villicana, Mr Fernando Escorcia, Dr Gnana Bharathy

Health Metrics, Uniting NSW.ACT, Dementia Australia (Alzheimer's Australia) Vic Inc, Cancer Council Victoria Grant - Research, Black Dog Institute, Interrelate Limited, NeoProducts Pty Ltd, Unisono Pty Ltd, Aged Care & Housing Group Inc, goAct, Uniting AgeWell

  • 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

  • 2023: $100,171
  • 2022: $51,003

Al Enabled Eyelid Detection

Prof Truyen Tran, Mr Hoang Dang

Medmont International Pty Ltd

  • 2022: $10,000

Supervisions

Principal Supervisor
2022

Dung Nguyen

Thesis entitled: Towards Social Artificial Intelligence: Roles and Theory of Mind

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

Thanh Tung Hoang

Thesis entitled: Toward Generalizable Deep Generative Models

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

2021

Thao Minh Le

Thesis entitled: Deep Neural Networks for Visual Reasoning

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

2020

Thai Hung Le

Thesis entitled: Memory and attention in deep learning

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

Duc Kien Do

Thesis entitled: Novel Deep Architectures for Representation Learning

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

2019

Trang Thi Minh Pham

Thesis entitled: Recurrent Neural Networks for Structured Data

Doctor of Philosophy (Information Technology), School of Information Technology

2017

Shivapratap Gopakumar

Thesis entitled: Machine Learning in Healthcare: An Investigation into Model Stability

Doctor of Philosophy (Information Technology), School of Information Technology

Executive Supervisor
2024

Xuan Duc Nguyen

Thesis entitled: Learning Dependency Structures Through Time Using Neural Networks

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

Associate Supervisor
2023

Minh Tri Nguyen

Thesis entitled: Machine Learning for Drug-Target Interaction Prediction

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

2021

Tang Thanh Nguyen

Thesis entitled: On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

Romero Fernando Almeida Barata De Morais

Thesis entitled: Human Behaviour Understanding in Computer Vision

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

2016

Xin Zhang

Thesis entitled: Sparse representation for face images

Doctor of Philosophy (Information Technology), School of Information Technology

2015

Tu Dinh Nguyen

Thesis entitled: Structured representation learning from complex data

Doctor of Philosophy (Information Technology), School of Information Technology