Hi👋! I am a Project Assistant and PhD Candidate 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.

Under the supervision of Professor Alexander Felfernig, my doctoral research — Intelligent Techniques for Efficient Diagnostic Reasoning in Constraint-Based Systems — develops 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.

Before joining TU Graz in 2020, I spent more than 15 years at the University of Economics, Hue University, Vietnam, as Lecturer and Vice-Dean (2014–2019) of the Faculty of Economic Information Systems, teaching Programming, and Data Structures and Algorithms, while researching Recommender Systems and Information Visualization, particularly multi-agent models for visualizing relationships in collaborative filtering. I obtained my Master of Computer Science (2008–2011) at the Institute for Informatics in French-speaking areas, Vietnam, with double diplomas from the University of La Rochelle, France, and Hanoi University of Science and Technology, Vietnam. During my Master’s study, I worked on Machine Learning, Content-based Information Retrieval, and Information Visualization, and completed my Master’s thesis — an image browser based on Self-Organizing Maps — as part of an internship at the Catholic University of Louvain, Belgium, under the supervision of Professor Michel Verleysen.

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

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), pp. 16201627. 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, José 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, José Galindo, Thi Ngoc Trang Tran

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

See the selected publications for the full curated list.