Profile image of Truyen Tran

A/Prof. Truyen Tran

STAFF PROFILE

Position

Associate Professor

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

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

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

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

Principal Supervisor
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

Associate Supervisor
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