> WELCOME TO THE HOMEPAGE OF
Truong Thanh
Hung Nguyen
PhD Candidate
Analytics Everywhere Lab (AELab), University of New Brunswick
National Research Council Canada (NRC/CNRC)
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, on human-centered AI for mental health.
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.
My research interest involves Self-Evolving Multi-Agent Systems, Responsible AI, Computer Vision, Edge Computing, Biomedical Engineering, Psychology.
Research interests click one to see its papers
Education & Positions
Education & academic positions
- [2024–now]PhD Candidate in Computer ScienceUniversity of New Brunswick (UNB)GPA: 4.3/4.3Supervisors: Prof. Hung Cao and Rene Richardcurrent, [ CANADA ]
- [2021–2023]Master's degree in Artificial Intelligence, minor: Biomedical EngineeringFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU)· DAAD ScholarGerman GPA: 1.7/1.0Master's thesis: 1.0/1.0 (Prof. Dr. Michael Kohlhase and Prof. Dr. Michael Amberg)[ GERMANY ]
- [2016–2020]Bachelor's degree in Computer ScienceFrankfurt University of Applied Sciences (FRA-UAS) · DAAD ScholarGerman GPA: 1.6/1.0[ 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
Teaching certification
- [DUT]Diploma of University TeachingCertified for formal training and qualification in higher education instruction[ CANADA ]
Teaching assistant
- [TA]Introduction to Machine Learning[ UNB ]
- [TA]Data Structures and Algorithms[ UNB ]
- [TA]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
No papers match these filters.
The signal was lost somewhere in deep space.
Tag key: what the chips mean
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
- Custom tag
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.
Honors & Awards
Awards & scholarships
Patents & copyrights
Academic Services
Student mentorship
Reviewing & committees
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