Scholar
Yves Le Traon
Google Scholar ID: DmGlmNEAAAAJ
Professor of Computer Science, University of Luxembourg
Citations & Impact
Citations
13,972
H-index
51
i10-index
203
Publications
20
Co-authors
70
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Elevated to IEEE Fellow in 2022.
- Recipient of the Facebook Testing and Verification Research Award (2019).
- Ranked among the top-20 most impactful experienced software engineering researchers worldwide over the past decade by the Journal of Systems and Software (JSS).
- General Chair of IEEE ICST 2013 and IEEE ISSRE 2004; Program Chair of IEEE QRS 2016.
- Author of over 200 peer-reviewed publications in top venues including ISSTA, ICSE, TSE, PLDI, Usenix Security, and TIFS.
- Serves on editorial boards of STVR, SoSym, and IEEE Transactions on Reliability.
- Supervised work that received the Best Paper Award at KDD 2020 Health Day for 'Data-driven Simulation and Optimization for Covid-19 Exit Strategies'.
Background
- Full Professor of Computer Science at the University of Luxembourg, specializing in software engineering with a focus on software testing, software security, and data-intensive systems.
- Currently Vice-Director of the Interdisciplinary Centre for Security, Reliability and Trust (SnT) and Head of the SerVal research group (SEcurity, Reasoning and VALidation), comprising around 25 researchers.
- Served as Head of the CSC Research Unit (Department of Computer Science) from 2013 to 2016.
- Research interests include: innovative testing, debugging, and repair techniques; Android security using static code analysis and machine learning; and design of robust machine learning-based systems.
- Research is applied in collaboration with industry partners in Fintech (BGL BNP Paribas, PayPal), Smart Grid (CREOS), and Industry 4.0 (Cebi).
- Director of Studies for the Master in Information System Security Management (MSSI) and co-founder of Datathings, a University of Luxembourg spin-off providing advanced AI software for scalable runtime decision-making.
