Biography summary
Truyen Tran is an Associate Professor at Deakin University. He is member of Applied Artificial Intelligence Institute where he leads the work on deep learning and its application on health, genomics, software and materials science. His other research topics include probabilistic graphical models, recommender systems, learning to rank, anomaly detection, multi-relational databases, model stability, and mixed-type analysis. He publishes regularly in top venues such as CVPR, NIPS, UAI, AAAI, KDD, ICML, PAKDD, and ACML. Tran has received multiple recognition, awards and prizes including Best Paper Runner Up at UAI (2009), Geelong Tech Award (2013), CRESP Best Paper of the Year (2014), Third Prize on Kaggle Galaxy-Zoo Challenge (2014), Title of Kaggle Master (2014), Best Student Paper Runner Up at ADMA (2016), Distinguished Paper at ACM SIGSOFT (2015), and Best Student Paper Runner Up at PAKDD(2016). He obtained a Bachelor of Science from University of Melbourne and a PhD in Computer Science from Curtin University in 2001 and 2008, respectively.
Research interests
Artificial intelligence
Data science
Biomedical informatics
Teaching interests
Machine learning
Data science
Healthcare analytics
Units taught
Data Science Concepts (SIT-112)
Knowledge areas
Machine learning
Data mining
Artificial intelligence
Healthcare analytics
Biomedical informatics
Recommender systems
Data science
Media appearances
CRESP Best paper award announcement, Dec 2014
Machines learn to pick up the cues, Oct 2014
Research groups
Applied Artificial Intelligence Institute
Awards
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 ward
2014: Team third prize in the Galaxy Zoo challenge
2013: Team best tech ward in Geelong
2009: UAI'09 Best paper runner-up
Projects
Machine learning for diagnosis of bipolar and schizophrenia
Understanding and predicting preterm births
Suicide risk prediction from electronic medical records
Deep learning for anomaly detection
Human microbiota and depression: a large population-based investigation
Predicting hazardous software components using deep learning (led by University of Wollongong)
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, A/Prof Truyen Tran, A/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 Jeffrey Fiebig, Mr John Fouyaxis, Dr Kit Huckvale, Prof John Grundy, Dr Leonard Hoon, Nicole Cockayne, David Varley, Dr Tanya Petrovich, Dr Anju Kissoon Curumsing, Matthew Macfarlane, Prof Deborah Parker, Ms Sharon Grocott, Dr Scott Barnett, Dr Tom McClean, Mr Steven Strange, Prof Jean-Guy Schneider, A/Prof Carsten Rudolph, Prof Nilmini Wickramasinghe, Dr Jordan Vincent, Mr Fernando Escorcia, Dr Gnana Bharathy
ARC Industrial Transformation Research Hubs
- 2021: $245,896
- 2020: $385,381
- 2019: $399,716
- 2018: $449,083
- 2017: $601,698
A Generic Framework for Verifying Machine Learning Algorithms
Prof Svetha Venkatesh, A/Prof Sunil Gupta, A/Prof Santu Rana, A/Prof Truyen Tran
ARC - Discovery Projects
- 2021: $78,263
Other Public Sector Funding
Al Algorithmic Assurance
Prof Svetha Venkatesh, A/Prof Sunil Gupta, A/Prof Santu Rana, A/Prof Truyen Tran, Dr Anh Cat Le Ngo, Dr Phuoc Nguyen, Mr Stephan Jacobs, Dr Dang Nguyen
- 2021: $248,140
- 2020: $208,820
- 2019: $80,640
Defence Applied Al Experiential CoLab
Prof Svetha Venkatesh, A/Prof Sunil Gupta, A/Prof Santu Rana, A/Prof Truyen Tran
- 2021: $100,000
- 2020: $873,495
In relation to Assuring an off-the-shelf AI algorithm
A/Prof Sunil Gupta, A/Prof Truyen Tran, A/Prof Santu Rana, Prof Svetha Venkatesh, Dr Phuoc Nguyen, Mr Tiep-Trong Nguyen, Mr Stephan Jacobs
- 2021: $83,034
Industry and Other Funding
Predicting software components containing safety hazards using deep learning
Dr Hoa Khanh Dam, Prof Aditya Ghose, A/Prof Truyen Tran, Prof John Grundy
- 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, A/Prof Truyen Tran, A/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 Jeffrey Fiebig, Mr John Fouyaxis, Dr Kit Huckvale, Prof John Grundy, Dr Leonard Hoon, Nicole Cockayne, David Varley, Dr Tanya Petrovich, Dr Anju Kissoon Curumsing, Matthew Macfarlane, Prof Deborah Parker, Ms Sharon Grocott, Dr Scott Barnett, Dr Tom McClean, Mr Steven Strange, Prof Jean-Guy Schneider, A/Prof Carsten Rudolph, Prof Nilmini Wickramasinghe, Dr Jordan Vincent, Mr Fernando Escorcia, Dr Gnana Bharathy
- 2021: $448,850
- 2020: $553,025
- 2019: $378,745
Scale Faciliation CoLab
Dr Scott Barnett, Dr Yasmeen George, Mr Andrew Vouliotis, Dr Srikanth Thudumu, Dr Leonard Hoon, A/Prof Sunil Gupta, A/Prof Santu Rana, A/Prof Truyen Tran, Prof Rajesh Vasa, Prof Kon Mouzakis, Prof Svetha Venkatesh, Ms Rena Logothetis
- 2021: $100,000
Supervisions
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
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
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