HiπŸ‘‹! I am a Project Assistant at the Institute of Software Engineering and Artificial Intelligence of Graz University of Technology (TU Graz), Austria, working on Knowledge-based Diagnosis, Configuration Systems, Software Product Lines, and Explanations in AI.

I defended my doctoral thesis in September 2026. Supervised by Professor Alexander Felfernig, my doctoral research β€” Intelligent Techniques for Efficient Diagnostic Reasoning in Constraint-Based Systems β€” developed solver-agnostic algorithms for conflict detection, diagnosis, and quality assurance that scale to industrial constraint-based systems, including configuration systems and recommender systems. More recent work extends these foundations toward causality-based explanations and Large Language Models for Software Product Line Engineering.

I am now looking forward to research positions in academia and industry where I can continue working on Explainability, Knowledge-based Reasoning, Constraint Acquisition, and the integration of symbolic and learning-based methods.

News

Automated Testing and Debugging of Configuration Knowledge Bases With Direct Diagnosis

Alexander Felfernig, Viet-Man Le, Damian Garber, Sebastian Lubos, Thi Ngoc Trang Tran

Journal of Intelligent Information Systems. SCIMAGO Q2 (2026)

Machine Learning for Constraint-based Configuration: A Survey

Christian BΓ€hnisch, Alexander Felfernig, Damian Garber, Albert Haag, Denis Helic, Lothar Hotz, Viet-Man Le, Sebastian Lubos

Journal of Artificial Intelligence Research, vol. 86, article 30. SCIMAGO Q1 (2026)

Early-Stage Product Line Validation Using LLMs: A Study on Semi-Formal Blueprint Analysis

Viet-Man Le, Thi Ngoc Trang Tran, Sebastian Lubos, Alexander Felfernig, Damian Garber

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing (SAC 2026). ACM, pp. 1620–1627. CORE B (2026)

Robust Lazy Conflict Detection via Multi-Conflict Extraction and Genetic Diversity Control

Viet-Man Le, Lukas A. Feldgrill, Alexander Felfernig

Proceedings of the AAAI Conference on Artificial Intelligence, vol. 40, no. 23, pp. 19208–19215. CORE A* (2026)

Learning Constraint Orderings for Direct Diagnosis

Mathias Uta, Viet-Man Le, Alexander Felfernig, Denis Helic

Journal of Intelligent Information Systems, vol. 63, no. 5, pp. 1753–1777. SCIMAGO Q2 (2025)

InformedQX: Informed Conflict Detection for Over-Constrained Problems

Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran, Mathias Uta

Proceedings of the 38th AAAI Conference on Artificial Intelligence, vol. 38, no. 9, pp. 10616–10623. CORE A* (2024)

FastDiagP: An Algorithm for Parallelized Direct Diagnosis

Viet-Man Le, Cristian Vidal Silva, Alexander Felfernig, David Benavides, JosΓ© Galindo, Thi Ngoc Trang Tran

Proceedings of the 37th AAAI Conference on Artificial Intelligence, vol. 37, no. 5, pp. 6442–6449. CORE A* (2023)

DirectDebug: Automated Testing and Debugging of Feature Models

Viet-Man Le, Alexander Felfernig, Mathias Uta, David Benavides, JosΓ© Galindo, Thi Ngoc Trang Tran

Proceedings of the ACM/IEEE 43rd International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER 2021). IEEE, pp. 81–85. CORE A* (2021)

See the selected publications for the full curated list.