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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 and beyond Cognitive architectures Learning to reason Graphs & relation Machine learning for biomedicine Drug design Structure of care Bioinformatics Machine learning for a better world Computational chemistry Automated software engineering Anomaly detection

News/Media (12/2019) I will deliver a public lecture at Swinburne Vietnam on AI for tackling climate change, Hanoi, Dec 2019. (09/2019) I will speak at VietAI Summit on AI for Drug Discovery, HCM City Nov 2019. (07/2019) I will give a keynote talk at NICS, Hanoi Dec 2019. (06/2019) PhD scholarships available for late 2019 intake. Areas: deep learning, machine reasoning, reinforcement learning, Bayesian optimization. [Older news]

• 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.
• Lecture on Deep learning for biomedicine, 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.
• Tutorial on Deep learning for biomedical discovery and data mining, PAKDD'18, Melbourne, Australia.
• Tutorial on Deep learning for biomedicine, 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 NU Uni of Eng and Tech (VNU-UET), Jan 2017
• Deep learning, @WEHI, Melbourne, Dec 2016.
  
• Tutorials on Deep learning: AusDM'16 in Canberra, AI'16 in Hobart.
• Deep learning for non-cognitive domains, @DSL, University of Wollongong, Aug 2016.