Updated on 2024/06/10

Information

 

写真a

 
NGUYEN DUY HIEN
 
Organization
Institute of Mathematics for Industry Division of Industrial and Mathematical Statistics Professor
Title
Professor
Contact information
メールアドレス
Tel
0928024401
Homepage

Degree

  • Bachelor of Economics, University of Queensland, Australia

  • Bachelor of Science (Honours I, Statistics), University of Queensland, Australia

  • PhD, University of Queensland, Australia

Research Interests・Research Keywords

  • Research theme:I have a strong interest in the research of computational statistics and its interaction with the fields of machine learning and AI. My research focuses on the analysis of large datasets that are acquired incrementally or are too large for conventional computers. In such settings, my work centers around the use of methods such as stochastic optimization theory and Bayesian inference to handle such difficulties. I am also interested in the development of rigorous statistical tools for choosing between models when data are complex and for testing the validity of such choices, as well as providing confidence statements regarding the goodness of inferential decisions in practice.

    Keyword:Statistics, Computational Statistics, Bayesian Methods, Mathematical Statistics

    Research period: 2023.10

Papers

  • Innovative use of sensor technology to study grazing behaviour and its associations with parasitic resistance in sheep Reviewed International journal

    F Almasi, M J Stear, M Khansefid, H Nguyen, A Desai, and J E Pryce

    Small Ruminant Research   2024.3

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    Language:English   Publishing type:Research paper (scientific journal)  

  • Label-based meta-analysis of functional brain dysconnectivity across mood and psychotic disorders. Reviewed International journal

    S Grot, S Smine, S Potvin, M Darcey, V Pavlov, S Genon, H Nguyen, and P Orban

    Progress in Neuro-Psychopharmacology and Biological Psychiatry   2024.1

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    Language:English   Publishing type:Research paper (scientific journal)  

  • A non-asymptotic risk bound for model selection in high- dimensional mixture of experts via joint rank and variable selection Reviewed International journal

    TT Nguyen, D N Nguyen, H D Nguyen, and F Chamroukhi

    Proceedings of the Australasian Jount Conference on Artificial Intelligence (AJCAI)   2023.12

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Super-resolved trajectory-derived nanoclustering analysis using spatiotemporal indexing Reviewed International journal

    T P Wallis, A Jiang, K Young, H Hou, K Kudo, A J McCann, N Durisic, M Joensuu, D Oelz, H Nguyen, R S Gormal, and F A Meunier

    Nature Communications   2023.6

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    Language:English   Publishing type:Research paper (scientific journal)  

  • Passive superconducting circulator on a chip Reviewed International journal

    R Navarathna, D T Le, A R Hamann, H D Nguyen, T M Stace, and A Fedorov

    Physical Review Letters   2023.1

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    Language:English   Publishing type:Research paper (scientific journal)  

Presentations

  • PanIC at the Boathouse Invited International conference

    Hien Nguyen

    ANU Research School of Finance, Actuarial Studies and Statistics  2023.11 

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    Event date: 2024.3

    Language:English   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Country:Australia  

  • A non-asymptotic risk bound for model selection in a high-dimensional mixture of experts via joint rank and variable selection International conference

    Hien Nguyen

    Australasian Joint Conference on Artificial Intelligence Organization  2023.12 

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    Event date: 2023.11 - 2023.12

    Language:English   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Country:Australia  

  • PanIC: an information criterion approach for generic model selection problems International conference

    Hien Nguyen

    Statistical Society of Australia  2023.12 

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    Event date: 2023.10

    Language:English   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Country:Australia  

Works

  • BoltzMM: Boltzmann Machines with MM Algorithms

    A T Jones, H D Nguyen, and J J Bagnall

    2018.3

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    Provides probability computation, data generation, and model estimation for fully-visible Boltzmann machines.

  • lowmemtkmeans: Low memory use trimmed k-means.

    A T Jones and H D Nguyen

    2017.1

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    Performs the trimmed k-means clustering algorithm with lower memory use. It also provides a number of utility functions such as BIC calculations.

Professional Memberships

  • Australian Mathematical Society

  • Statistical Society of Australia

Committee Memberships

  • Statistical Society of Australia, Queensland Branch   President   Foreign country

    2023.3 - 2024.3   

  • Statistical Society of Australia, Victoria and Tasmania Branch   Councilor   Foreign country

    2019.3 - 2022.2   

  • Statistical Society of Australia, Victoria and Tasmania Branch   Councilor   Foreign country

    2019.3 - 2022.2   

Academic Activities

  • Organization Committee Member (Chair of Sponsorships) International contribution

    67th Annual Meeting of the Australian Mathematical Societ  ( University of Queensland, Brisbane, Australia Australia ) 2023.12

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    Type:Competition, symposium, etc. 

  • Screening of academic papers

    Role(s): Peer review

    2023

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    Type:Peer review 

    Number of peer-reviewed articles in foreign language journals:6

    Number of peer-reviewed articles in Japanese journals:0

    Proceedings of International Conference Number of peer-reviewed papers:4

    Proceedings of domestic conference Number of peer-reviewed papers:0

  • Australian and New Zealand Journal of Statistics International contribution

    2018.6 - 2024.3

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    Type:Academic society, research group, etc. 

Research Projects

  • Stochastic majorization--minimization algorithms for data science

    2023 - 2025

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    Authorship:Principal investigator  Grant type:Contract research

Educational Activities

  • Teaching

    2022, 2023 Mathematics for Data Science 1 (MATH7501, University of Queensland; Undergraduate)
    2022, 2023 Problems and Applications in Modern Statistics (STAT3500, University of Queensland; Undergraduate)
    2021–2023 Statistical Learning (STAT3006, University of Queensland; Undergraduate)

    Coordination

    2020, 2021 Models for bioinformatics (STA5MB, La Trobe University; Postgraduate)
    2020 Biostatistics (STA2BS, La Trobe University; Undergraduate)
    2020 Engineering probability and statistics (STM2EPS, La Trobe University; Undergraduate)
    2020, 2021 Models for bioinformatics (STA5MB, La Trobe University; Postgraduate)
    2016 Experimental design (STAT3003, University of Queensland; Undergraduate)

Class subject

  • MM Algorithms for Optimization of Statistical Models

    2023.10 - 2024.3   Second semester

Visiting, concurrent, or part-time lecturers at other universities, institutions, etc.

  • 2023  La Trobe University, School of Computing, Engineering, and Mathematical Sciences  Classification:Faculty conurrently holding another post  Domestic/International Classification:Overseas 

    Semester, Day Time or Duration:From October, 2023

Outline of Social Contribution and International Cooperation activities

  • I have an extensive record of international collaboration with researchers, primarily from Australia, but also from other countries such as Norway, Scotland, France, and Canada. Notably, I am involved in an Australian Research Council grant focused on Stochastic Optimization algorithms, which I am conducting alongside colleagues from France (2023-2025). Additionally, in collaboration with Dr. Florence Forbes from Inria Grenoble, France, we have established two joint Inria teams: LANDER (2019-2021) and WOMBAT (2023-2026). These initiatives aim to foster strong relationships between Australia and France in the fields of computational statistics and modeling.