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Students 
Le, Minh-Khoa 
Le, Quang-Hung 
Tran, Xuan-Tuyen 
Nguyen, Minh-Thang 
Do, Truong-Giang 
Bach, Thong 
La, Linh 
Dat, Ho 
Tran, Long 

Alumni  
Pham, Tien-Kha 
Tran, Duy-Hung  
Pham, Hoang-Anh 
Nguyen, Xuan-Duc 
Dang, Hoang-Long 
Nguyen, Minh-Tri  
Nguyen, Dung  
Le, Minh-Thao 
Barata, Romero 
Hoang, Thanh-Tung 
Le, Thai-Hung 
Do, Duc-Kien 
Pham, Minh-Trang 
Gopakumar, Shiva 
Nguyen, Dinh-Tu 

 

 


 

Truyen Tran (Trần Thế Truyền)
Professor | Head of AI, Health and Science
Applied Artificial Intelligence Institute (A2I2), Deakin University.

75 Pigdons Rd, Waurn Ponds, Vic 3216, Australia
truyen.tran {__AT__} deakin.edu.au

Research thrusts

AI Future
 » Scaling out: Digital species
» Reasoning: System 2 capability
 » Alignment: Truth, values and safety
AI for Science
» AI scientists: Automated discovery
 » Physical sciences: Materials design
» Life sciences: Drug design
AI for Health
» AI doctors: Humanising AI
» Medical image analysis
» Health trajectories & longevity
Topics
News/Media
» 11/2024: I will give a public lecture on 2024 Nobel Prize in Physics in December.
» 11/2024: I will give an invited talk at Reliable AI 2024 in Hanoi this December.
» 11/2024: I will give an invited talk at LAMM 2024 in Hanoi this December.
» 10/2024: I will speak at DAIRNet Artificial Intelligence Symposium 2024 in Melbourne.
» 10/2024: Interview with The Bulletin of the VNU-HCM on AI and education.
» 08/2024: I will present screening of cerebral palsy at CP360 Summit in Italy this Septermber.
» 08/2024: I will give a talk on AI for highschool and uni students at VNU-HCM this August.
» 08/2024: I will moderate a high-profile AI panel consisting of Jeff Dean, HCM City this August.
» 07/2024: PhD scholarships for 2024-2025 intake. Areas: Generalist AI, AI4Science, AI4Health.

[Older news]

 

 

 Blog
» The dynamics of knowledge,  Medium, Oct 2024.
» AI development and education in 2024,  Medium, Sep 2024.
» AI, math, medicine, software, and the sciences: A shifting landscape,  Medium, Aug 2024.
» The shifting landscape of modern AI,  Medium, Aug 2024.
» AI: Be careful what you wish for, or even the rich cry,  Medium, April 2023.
» Very big text models,  Medium, Feb 2023.

Talks/Tutorials
 » The shifting landscape of modern AI,  @VNU-HCM US, August 2024.
» AI in the post-deep learning era,  @VNU-HCM US, April 2024.
» Generative AI: Shifting the AI landscape,  @DAIRNet Defence AI Seminar Series, Dec 2023.
» Generative AI to accelerate discovery of materials, Keynote @PRICM11, Nov 2023.
» Deep learning and reasoning: Recent advances, Tutorial @VIASM Summer School in DL, July 2023.
» AI for automated materials discovery, @Thuyloi University, May 2023.
» Deep analytics via learning to reason Keynote @ACOMPA, Nov 2022.
» Machine learning and reasoning for drug discovery @ECML-PKDD, Sept 2021.
» Neural machine reasoning A tutorial @IJCAI, August 2021.
» Deep learning 2.0 Keynote @FPT AI Conference, August 2021.
» From deep learning to deep reasoning A tutorial @KDD, August 2021.
» Deep learning 1.0 and beyond, A tutorial @IEEE SSCI, Canberra, Dec 2020.
» Machine reasoning, @Monash University, August 2020.
» AI in Covid-19 pandemic, @VANJ Webminar, May 2020.(Vietnamese version).
» Machine reasoning at A2I2, @A2I2 reading group, April 2020.
» Machines that learn to talk about what they see, Keynote at NICS'19, Hanoi, Vietnam, Dec 2019.
» Climate change: Challenges and AI-driven solutions, @Swinburne Vietnam, Hanoi, Dec 2019.
» Modern AI for drug discovery, VietAI Summit, Nov 2019.
» Deep learning for biomedicine, Lecture at SEA ML School, Jakarta, Indonesia, July 2019.
» Deep learning for genomics: Present and future, Genomic Med. 2019, Hanoi, Vietnam, June 2019.
» Memory advances in Neural Turing Machines, AI Day, Hanoi, Vietnam, June 2019.
» Empirical AI Research , @International University, HCM City, Vietnam, May 2019.
» Representation learning on graphs, Keynote at MAPR, HCM City, Vietnam, May 2019.
» AI that/for matters, @Phenikaa University, Hanoi, Vietnam, Jan 2019.
» Deep learning for biomedicine: Genomics and Drug design, @VinBigData, Hanoi, Jan 2019.
» Advances in Neural Turing Machines, @CafeDSL, University of Wollongong, Aug 2018.
» Deep learning for episodic interventional data, ISCB-ACS 2018, Melbourne, Aug 2018.
» Deep learning for astronomy at Harley Wood School for Astronomy, Ballarat, Australia, June 2018.
» Deep learning for biomedical discovery and data mining, Tutorial at PAKDD'18, Melbourne.
» Deep learning for biomedicine, Tutorial at ACML'17, Seoul, Korea.
» Deep neural nets for healthcare, @Amazon Seattle, Feb 2017.
» Deep learning for detecting anomalies and software vulnerabilities, @ACT, Hanoi, Jan 2017.
» Deep architecture engineering, @HUST & VNU-UET, Hanoi, Jan 2017.
» Deep learning, @WEHI, Melbourne, Dec 2016.
» Deep learning tutorials at AusDM'16 in Canberra, AI'16 in Hobart.
» Deep learning for non-cognitive domains, @DSL, University of Wollongong, Aug 2016.
» The shifting landscape of modern AI,  @VNU-HCM US, August 2024.
» AI in the post-deep learning era,  @VNU-HCM US, April 2024.
» Generative AI: Shifting the AI landscape,  @DAIRNet Defence AI Seminar Series, Dec 2023.
» Generative AI to accelerate discovery of materials, Keynote @PRICM11, Nov 2023.
» Deep learning and reasoning: Recent advances, Tutorial @VIASM Summer School in DL, July 2023.
» AI for automated materials discovery, @Thuyloi University, May 2023.
» Deep analytics via learning to reason Keynote @ACOMPA, Nov 2022.
» Machine learning and reasoning for drug discovery @ECML-PKDD, Sept 2021.
» Neural machine reasoning A tutorial @IJCAI, August 2021.
» Deep learning 2.0 Keynote @FPT AI Conference, August 2021.
» From deep learning to deep reasoning A tutorial @KDD, August 2021.
» Deep learning 1.0 and beyond, A tutorial @IEEE SSCI, Canberra, Dec 2020.
» Machine reasoning, @Monash University, August 2020.
» AI in Covid-19 pandemic, @VANJ Webminar, May 2020.(Vietnamese version).
» Machine reasoning at A2I2, @A2I2 reading group, April 2020.
» Machines that learn to talk about what they see, Keynote at NICS'19, Hanoi, Vietnam, Dec 2019.
» Climate change: Challenges and AI-driven solutions, @Swinburne Vietnam, Hanoi, Dec 2019.
» Modern AI for drug discovery, VietAI Summit, Nov 2019.
» Deep learning for biomedicine, Lecture at SEA ML School, Jakarta, Indonesia, July 2019.
» Deep learning for genomics: Present and future, Genomic Med. 2019, Hanoi, Vietnam, June 2019.
» Memory advances in Neural Turing Machines, AI Day, Hanoi, Vietnam, June 2019.
» Empirical AI Research , @International University, HCM City, Vietnam, May 2019.
» Representation learning on graphs, Keynote at MAPR, HCM City, Vietnam, May 2019.
» AI that/for matters, @Phenikaa University, Hanoi, Vietnam, Jan 2019.
» Deep learning for biomedicine: Genomics and Drug design, @VinBigData, Hanoi, Jan 2019.
» Advances in Neural Turing Machines, @CafeDSL, University of Wollongong, Aug 2018.
» Deep learning for episodic interventional data, ISCB-ACS 2018, Melbourne, Aug 2018.
» Deep learning for astronomy at Harley Wood School for Astronomy, Ballarat, Australia, June 2018.
» Deep learning for biomedical discovery and data mining, Tutorial at PAKDD'18, Melbourne.
» Deep learning for biomedicine, Tutorial at ACML'17, Seoul, Korea.
» Deep neural nets for healthcare, @Amazon Seattle, Feb 2017.
» Deep learning for detecting anomalies and software vulnerabilities, @ACT, Hanoi, Jan 2017.
» Deep architecture engineering, @HUST & VNU-UET, Hanoi, Jan 2017.
» Deep learning, @WEHI, Melbourne, Dec 2016.
» Deep learning tutorials at AusDM'16 in Canberra, AI'16 in Hobart.
» Deep learning for non-cognitive domains, @DSL, University of Wollongong, Aug 2016.

Supervised theses

Long Tran (PhD, with Dr Phuoc Nguyen), Causal inference, 2024-.

Thong Bach (PhD), Alignment AI, 2024-.

Dat Ho (PhD, with Dr Shannon Ryan), Breakup models in space, 2024-.

Linh La (PhD, with Dr Sherif Abbas), Physics-informed ML for materials, 2024-.

Giang Do (PhD), Scaling LLMs, 2024-.

Quang-Hung Le (PhD, with Dr Thao Le), Toward instruction-following navigation, 2023-.

Minh-Khoa Le (PhD), Structured learning and reasoning, 2023-.

Minh-Thang Nguyen (PhD), Knowledge-guided machine learning, 2023-.

Tuyen Tran (PhD, with Dr Vuong Le & Dr Thao Le), Structural video understanding, 2022-.

Tien-Kha Pham (PhD, Deakin), Associative memory in neural networks, 2021-2024.

Hung Tran (PhD, Deakin, with Dr Vuong Le), Human behaviours understanding in video: Goals, dual-processes and commonsense, 2020-2024.

Hoang-Long Dang (PhD), Language-guided visual reasoning via deep neural networks, 2020-2023. Nominee of Deakin's Thesis Award 2024; Nominee for CORE Distinguished Dissertation Award 2023-2024.

Hoang-Anh Pham (MPhil), Video-grounded dialog: Models and applications, 2020-2023.

Duc Nguyen (PhD), Learning dependency structures through time using neural networks, 2019-2023.

Tri Nguyen (PhD, with Dr Thin Nguyen), Decoding the drug-target interaction mechanism using deep learning, 2019-2022. Nominee of Deakin's Thesis Award 2022.

Dung Nguyen (PhD), Towards social AI: Roles and theory of mind, 2019-2022. Nominee of Deakin's Thesis Award 2022.

Hoang Thanh-Tung (PhD), Toward generalizable deep generative models, 2017-2021.

Thao Minh Le (PhD), Deep neural networks for visual reasoning, 2018-2021, after 2.5 years. Winner of Deakin's Thesis Award 2021.

Romero de Morais (PhD, with Dr Vuong Le), Human behaviour understanding in computer vision, 2018-2021.

Hung Le (PhD), Memory and attention in deep learning, 2018-2020, after just 2 years! Winner of Deakin's Thesis Award 2020.

Kien Do (PhD), Novel deep architectures for representation learning, 2017-2020.

Trang Pham (PhD), Recurrent neural networks for structured data, 2016-2019.

Shivapratap Gopakumar (PhD), Machine learning in healthcare: An investigation into model stability, 2014-2017.

Tu Dinh Nguyen (PhD, with A/Prof Dinh Phung), Structured representation learning from complex data, 2012-2015.