Nguyen Van Thieu
Lecturer at AIIR Group
Earth, Texas, Vietnam
Summary
🤩
Rockstar🎓
Top SchoolNguyen Van Thieu is a lecturer and AI researcher with a decade of hands-on experience in machine learning, deep learning, NLP, transfer learning and optimization methods. He balances academic roles at Phenikaa University with applied research at AIIR Group, and has contributed as a research assistant at international institutes including the National Institute of Informatics. Thieu is an active open-source contributor to metaheuristic optimization in Python (notably backend work on the mealpy collection implementing algorithms like the Slime Mould Algorithm), reflecting deep practical knowledge of nature-inspired and swarm-based optimizers. His background spans industry development, independent data science consulting, and graduate study at Hanoi University of Science and Technology and the University of Luxembourg, giving him a rare blend of theoretical rigor and production coding. Known for a persistent problem-solving mindset—“Give me your problem. I will keep digging until I find a solution”—he often connects optimization research to real-world engineering challenges.
10 years of coding experience
4 years of employment as a software developer
Engineer's degree, Engineer's degree at Hanoi University of Science and Technology
Github Skills (5)
algorithm10
algorithms10
python10
implement10
documentation9
Programming languages (7)
Github contributions (5)
thieu1995/mealpy
Mar 2020 - Jan 2023
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
Role in this project:
Backend Developer
Backend DeveloperContributions:59 releases, 1245 commits, 18 PRs in 2 years 10 months
Contributions summary:Nguyen primarily contributed to the backend aspects of the mealpy project, focusing on code changes within Python files related to the Slime Mould Algorithm (SMA) and other metaheuristic algorithms. Their work involved updating documentation and modifying code within the `mealpy/bio_based` directory, suggesting a focus on algorithm implementation and documentation. The user appears to have a strong understanding of metaheuristic optimization, as evidenced by the detailed comments and the context of the code changes.
heuristicoptimization-methodsharris-hawks-optimizationghunger-games-searchequilibrium-optimizer
thieu1995/opfunu
Dec 2019 - Oct 2022
A collection of Benchmark functions for numerical optimization problems
Contributions:26 releases, 9 reviews, 376 commits in 2 years 10 months
non-convex-optimizationsoft-computingproblemscec-2013benchmark
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