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Truong Thanh
Hung Nguyen

PhD Candidate

Analytics Everywhere Lab (AELab), University of New Brunswick
National Research Council Canada (NRC/CNRC)

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Hung Nguyen● Connected
Email hung.ntt@unb.ca
NEWS

Short Bio

I am currently a PhD candidate at Analytics Everywhere Lab, University of New Brunswick (UNB), Canada and National Research Council Canada (NRC/CNRC), Canada, under the supervision of Prof. Hung Cao and Rene Richard. I also collaborate with Prof. Veronica Whitford at the Department of Psychology, UNB.

I received my Master degree of Artificial Intelligence (minor in Biomedical Engineering) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany in 2023 and my Bachelor degree of Computer Science at Frankfurt University of Applied Sciences (FRA-UAS), Germany in 2020. I graduated from FAU with a Master's thesis grade of 1.0/1.0 (German grade), supervised by Prof. Dr. Michael Kohlhase and Prof. Dr. Michael Amberg.

With 7 years of experience in responsible AI, I design human-centered systems across domains, especially healthcare and multi-agent settings, where trust must be earned and can be challenged. I am passionate about the ethics of human–AI collaboration, and I would be thrilled to contribute to research that makes responsible AI a practice, not just a principle.

Research interests click one to see its papers

    Education & Positions

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    Education & academic positions

    • [2024–now] PhD in Computer Science University of New Brunswick (UNB) GPA: 4.3/4.3 Thesis: Building Trustworthy Human–AI Collaboration: From Explainability and Contestability to Verified Memory-Based Agent Self-Evolution. Expected completion: Apr 2027 (tentative) Supervisors: Prof. Hung Cao current, [ CANADA ]
    • [2021–2023] M.Sc. in Artificial Intelligence, minor: Biomedical Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)· DAAD Scholar German GPA: 1.7/1.0 Thesis: Exploring the Role of Explainable Artificial Intelligence in Enhancing Interpretability and Performance of Semantic Segmentation Models in Visual Quality Inspection Systems. Thesis grade: 1.0/1.0 Supervisors: Prof. Dr. Michael Kohlhase and Prof. Dr. Michael Amberg [ GERMANY ]
    • [2016–2020] Bachelor's degree in Computer Science Frankfurt University of Applied Sciences (FRA-UAS) · DAAD Scholar German GPA: 1.6/1.0 Thesis: Analyzing and visualizing chemical molecular properties using K-Dimensional tree algorithm. Thesis grade: 1.4/1.0 Supervisors: Assoc. Prof. Dr. Huynh Trung Hieu, Dr. Tran Thi Thu Huong [ GERMANY ]

    Industry positions

    • [2024–now]Research AssistantNational Research Council Canada (NRC/CNRC)Project: Aging in Place Challenge Canada-Japan 3+2 Programcurrent, [ CANADA ]
    • [2021–2023]Research AssistantFAU WiSo (School of Business, Economics and Society)Supervisor: Prof. Dr. Michael Amberg[ GERMANY ]
    • [2024–2025]Business Unit DirectorFPT Software[ CANADA ]
    • [2020–2025]AI ScientistFPT Software[ VIETNAM ]
    • [2019–2020]Full-stack DeveloperZIGExN Co., Ltd. (株式会社じげん)[ JAPAN ]

    Teaching Experience

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    Teaching certification

    • [DUT]Diploma of University TeachingIssued by University of New Brunswick (UNB)Certified for formal training and qualification in higher education instruction[ CANADA ]

    Teaching assistant

    • [2025]CS3735: Introduction to Machine Learning[ UNB ]
    • [2025, 2026]CS2383: Data Structures and Algorithms[ UNB ]
    • [2024]CS3113: Introduction to Numerical Methods[ UNB ]

    Guest lectures

    • [GUEST]Beyond Explainable AI (XAI) — University of New Brunswick[ CANADA ]
    • [GUEST]Introduction to Interpretable Machine Learning — Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)[ GERMANY ]
    • [GUEST]Introduction to Explainable AI (XAI) — FPT University[ VIETNAM ]
    • [GUEST]Introduction to Reinforcement Learning (RL) — Quy Nhon University[ VIETNAM ]

    Publications

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    Venue type

    JOURNAL
    Journal article
    CONF
    Conference paper
    WORKSHOP
    Workshop paper
    CHALLENGE
    Challenge paper
    PREPRINT
    Preprint / under review

    CORE rank (conferences)

    CORE A*
    Flagship venue
    CORE A
    Excellent venue
    CORE B
    Good venue
    CORE C
    Meets ranking standards

    Quartile (journals)

    SJR Q1
    Top 25% of its field
    SJR Q2
    25–50%
    SJR Q3
    50–75%
    SJR Q4
    Bottom 25%

    Other

    ★ Award
    Paper award
    IF 5.0
    Impact factor
    RAI
    Research interest (each has its own color)
    ORAL
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    Click a chip on any paper to filter by it. Ranks come from the CORE portal; quartiles from SCImago (SJR) or JCR, as marked on each chip.

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    Honors & Awards

      Academic Services

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            Contact & Links

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