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Hung Tran 
Minh-Tri Nguyen 
Hoang-Long Dang  
 Tien-Kha Pham 
Xuan-Duc Nguyen  
Thao Minh Le  
Dung Nguyen 
Tin Pham  
Romero de Morais 
Tung Hoang 

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Hung Le 
Kien Do 
Trang Pham  
Tu Dinh Nguyen  
Shiva Gopakumar  

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 Graph & relation Deep generative models Machine learning for biomedicine Drug design Algebraic structure of care Personalized medicine Bioinformatics Machine learning for a better world Computational chemistry Materials science Quantum machine learning Climate change Automated software engineering Anomaly detection Process analytics Recommender systems

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. (06/2019) I gave an invited talk at Genomic Medicine, Hanoi June 2019. (06/2019) I gave an invited talk at VinAI's AI Day, Hanoi June 2019. (05/2019) I gave an invited talk on Empirical AI Research at International University, HCM City, May 2019. (04/2019) I will speak at Southeast Asia Machine Learning (SEA ML) School in July 2019. Hope to see you in Depok, Greater Jakarta, Indonesia. (02/2019) I will give a keynote speech at MAPR in HCM City, Vietnam in May. The topic will be about representation learning of graphs. (01/2019) I gave a talk on "AI for matters" at Phenikaa University, Hanoi, VN. (01/2019) I gave a talk on "Deep learning for biomedicine: Genomics and drug design" at Vin's Big Data Insitute, Hanoi, VN. (01/2019) TechXplore covers the upcoming ICSE'19 paper on AI for agile project management. [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.
  

• When computing meets statistics, @Department of Statistics, Hanoi University of Science, VNU, 2009.
• On some optimisation problems in structured pattern recognition, OptiSciCom09, Ba Vi, Hanoi, Vietnam, 2009.
• RecSys: Recommender Systems, BarCamp Hanoi, 2009.

Patents

• Medical data processing for risk prediction, Truyen Tran, Santu Rana, Quoc-Dinh Phung, Wei Luo, and Svetha Venkatesh, Provisional patent, June 2013.