Research Engineer

	Safran Tech-MATD Lab Châteaufort (78143), France
	Linkedin: /in/dquanvu
	dong-quan.vu[at]safrangroup.com

Research Engineer at Mathematics and Algorithms for Temporal Data (MATD) Lab of Safran Tech .

My main research area is Artificial Intelligent. My current focus is on Bayesian Learning for prognostics and diagnostics of aerospace engines. Beside this, my research interests also lie at the intersection of Online Learning, Optimization and Game Theory with the scope of applications aiming towards Operational Research, Resource Management and Multi-agent Systems.

Recent News:

• October 2024: ESANN 2024: "A Kalman Filter and Neural Network Hybrid Approach for Health Monitoring of Aircraft Engines" was apccepted to be presented in the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2024.
• June 2024: IEEE CAI 2024: "Aircraft Engines Performances Estimation from Multi-Point and Multi-Time Operational Data via Neural Networks" was apccepted to be presented in the IEEE Conference on Artificial Intelligence (IEEE CAI 2024).
• June 2024: ASME Turbo Expo 2024 : "A Comprehensive Literature Review On The Resolution Of Turbine Engine Performances’ Inverse Problems" was apccepted to be presented in the ASME Turbo Expo 2024.
• June 2023: IEEE CAI 2023: "A constrained Langevin-adapted Particle Filter for Aircraft Engines’ Health Monitoring" and "Eliminating External Factors with Variables Standardization for Monitoring Applications" were apccepted to be presented in the IEEE Conference on Artificial Intelligence (IEEE CAI 2023).
• May 2022: ICML 2022: "Scaling up Universal Methods for Convex Optimization" (written in collaboration with Kimon Antonakopoulos, Panayotis Mertikopoulos, Kfir Y. Levy and Volkan Cevher) was apccepted to be presented in the 39th International Conference on Machine Learning (ICML 2022).
• Sep 2021: Great news, I received the "outstanding reviewer award" from Neurips 2021 (top 8% reviewers).
• Sep 2021: Neurips 2021: Our work Fast Routing under Uncertainty: Adaptive Learning in Congestion Games with Exponential Weights (in collaboration with Kimon Antonakopoulos, Panayotis Mertikopoulos) has been accepted to present at the 35th Conference on Neural Information Processing Systems (Neurips 2021).

About me: I am an research engineer working at the Mathematics and Algorithms for Temporal Data Lab of Safran Tech. Prior to this, I worked as a postdoctoral researcher at POLARIS team-LIG under the direction of Dr. Panayotis Mertikopoulos. I finished my PhD. in 2020 from Sorbonne Université under the direction of Dr. Patrick Loiseau, Dr. Alonso Silva and Gérard Burnside, focusing on sequential learning in games and Colonel Blotto game. From January 2017 to December 2019, I worked as a junior research engineer at Nokia Bell Labs France, AAAID Lab. Prior to my Ph.D., I received my M.Sc. of Mathematics and Applications degree from Université Paris Saclay in 2016 and my B.Sc. of Mathematics from HCMC University of Education, Vietnam in 2014. I have received First Prize Winner ROADEF Master Students Prize 2016 and Gaspard Monge Master Scholarship Program 2015.