2023-06-252023-06-25https://tore.tuhh.de/handle/11420/39251Yves Le Traon is full professor of Computer Science at University of Luxembourg, in the domain of software engineering, with a focus on software testing, software security, and data-intensive systems. He is head of the SnT SerVal group (SEcurity, Reasoning and VALidation) composed of around 30 researchers. His research interests include (1) innovative testing and debugging techniques, (2) mobile Android security using static code analysis, machine learning techniques and, (3) design of machine-learning based systems in the domains of IoT, smart grid, Fintech, Industry 4.0, and data-intensive systems in general. His research is inspired from and applies to several industry partners (BGL BNP-Paribas, CREOS, Paypal, Cebi…). His achievements and visibility have been recently acknowledged by a JSS article, ranking him among the top-15 most impactful experienced SE researchers in the past decade, worldwide. Yves Le Traon is one of the recipients of the Facebook Testing and Verification 2019 - Research Award. He has been elevated IEEE Fellow in 2021. He is also Director of Studies of the Master in Information System Security Management (MSSI) and co-founder of Datathings, a spin-off company of University of Luxembourg providing advanced AI software to perform scalable decision-making at runtime. He has been General Chair of major conferences in the domain, such as IEEE ICST 2013, IEEE ISSRE 2004, and Program Chair of IEEE QRS 2016. He serves at the editorial boards of internationally-known journals (STVR, SoSym, IEEE Transactions on Reliability) and is author of more than 200 publications in international peer-reviewed conferences and journals such as ISSTA, ICSE, TIFF, TIFS, TSE, PLDI and Usenix Security. He was head of the CSC Research Unit (Dept. of Computer Science), for the period of 2013-2016.. In terms of education, he received his engineering degree and his Ph.D. in Computer Science from the “Institut National Polytechnique”, Grenoble, France, in 1997. From 1998 to 2004, he was associate professor at the University of Rennes, France. He co-founded the Triskell INRIA team, which focused at that time on innovating design, modeling and testing techniques, such as Model-driven Engineering (MDE). From 2004 to 2006, he was an expert in MDE in the EXA team (Requirements Engineering and Applications) at “France Télécom R&D” company. In 2006, he became full professor at Telecom Bretagne (Ecole Nationale des Télécommunications de Bretagne) where he pioneered software testing techniques to find security flaws. Projects Not Funded by a Funding Agency (Name of Partner Title Funding Period Role Topic): - CREOS - Reliable and Secure Smart Grid Infrastructures Industry Funding 07/2016- 06/2025 PI Topic: Smart grid reconfiguration, Multi-objective optimization (evolutionary algorithms) and ML - Cebi - Open standard -based Framework for stepping into the "Industry 4.0" realm Industry Funding 04/2018 - 04/2022 PI Topic: Replacing programming by ML in an Industry 4.0 factory, Design of efficient, effective and robust ML components - LAIWYERS - Law and AI: WaYs to Explore Robust Solutions University Funding 07/2020 - 06/2022 co-PI Topic: ML robustness when applied to LAW use cases Relation: Assessment of the fairness of AI-based legal solutions. - BGL BNP Paribas - Robust Machine Learning Systems Industry Funding 01/2019 - 12/2022 PI Topic: ML for Fintech, ML-system robustness. - Facebook Research Industry Funding 01/2019 - 12/2022 Co-PI Topic: Detecting (flaky) test failures of system user interactive tests. Uncertainty in test oracle interpretation - PayPal - Incident management & Software testing Industry Funding 09/2019 - 01/2025 PI Topic: ML for Fintech. Continuous testing process, MLOPS, test flakiness prevention - Facebook Research Industry Funding 01/2019 - 12/2022 Co-PI Topic: Detecting (flaky) test failures of system user interactive tests. ML-system robustness - Société Générale Donation 10/2020-12/2021 PI Topic: Development of an exit-strategy simulator for the covid-19 crisis - Enovos Donation 10/2020-10/2022 Co-Pi Topic: INDUCTIVE : Incentivised charging scheduling for electrical vehicles