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  Hoang-Anh Pham  Tien-Kha Pham 
Hoang-Long Dang 
Minh-Tri Nguyen 
Duy-Hung Tran 
Xuan-Duc Nguyen 
Dung Nguyen 
 

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Thao Minh Le 
Romero de Morais 
Tung Hoang 
Hung Le 
Kien Do 
Trang Pham 
Shiva Gopakumar 
Tu Dinh Nguyen 

 

 


 

Truyen Tran (Trần Thế Truyền)
Associate Professor, Applied Artificial Intelligence Institute (A2I2), Deakin University.

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

Research thrusts

Deep learning 2.0
 » Learning to reason
» Graphs & relation
 » Theory of mind
AI for biomedicine
» Drug discovery
» Health analytics
» Bioinformatics
AI for science
» Computational chemistry
» Materials science
 » Quantum machine learning
AI for a better world
» Recommender systems
» Software engineering
 » Anomaly detection
 Topics
News/Media
» 04/2022: PhD scholarships available for late 2022 intake. Areas: multiagent reinforcement learning, physics-informed ML, and drug discovery.

[Older news]

 

 

 Professional services (recent)
TPC Member, ICML'22
TPC Member, IJCAI'22
Senior PC, AAAI'22
TPC Member, ICLR'22
 TPC Member, NeurIPS'21
TPC Member, ICML'21
Senior PC, IJCAI'21
TPC Member,  AAAI'21
 TPC Member, ICLR'21
TPC Member, NeurIPS'20
TPC Member, ECCV'20
TPC Member, ICML'20

Grants (~$11.5M)
» Learning and reasoning on multisensor data ($100K), Australian Department of Defence, 2022-2022.
» A generic framework for verifying machine learning algorithms ($360K), ARC Discovery, 2021-2023.
» Optimising treatments in mental health using AI ($5M), MRFF AI in Health, 2021-2026.
» Defence applied AI experiential CoLab ($1M annual), Australian Department of Defence, 2020-ongoing.
» ARC research hub for digital enhanced living, ($3M), ARC Industrial Transformation Research Hubs, 2018–2022.
» Telstra centre of excellence in big data and machine learning ($1.6M), Telstra, 2016–2020.
» Advanced data analytics for care management of chronic disease, ($760K), Barwon Health, 2013-2017.
» Improving cancer care ($200K), Western Alliance, 2016-2017.
» Accuracy of machine scoring of fidgety movements from high risk infant populations ($134K), Cerebral Palsy Alliance, 2016–2017.
» Predicting hazardous software components using deep learning, ($100K), Samsung GRO, 2016–2017.

Talks/Tutorials | On Slideshare
» 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,  Vietnam, Dec 2019.
» Modern AI for drug discovery, VietAI Summit, Nov 2019.
» Deep learning for biomedicine, Lecture at Southeast Asia Machine Learning (SEA ML) School, Depok, Greater Jakarta, Indonesia, July 2019.
» Deep learning for genomics: Present and future, Genomic Medicine 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, @Institute of Big Data, Hanoi, Vietnam, 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, Australia.
» 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, @Academy of Cryptography Techniques, Hanoi, Vietnam, Jan 2017.
» Deep architecture engineering, @Hanoi Uni of Sci and Tech (HUST); and VNU Uni of Eng and Tech (VNU-UET), 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.