● Can you introduce yourself in a few words?
My name is Son Hoang, but you can call me Sonny. I come from VungTau, which is a beautiful coastal city in the south of Vietnam. I obtained my bachelor program of aeronautical engineering in the University of Science and Technology of Hanoi. Then I came to France and finished the Master degree in Aerospace Engineering with specialization in
Embedded Systems. I am currently take part in the Ph.D research “Robust dynamic planning and control for interacting large-scale multi-agent systems: application to
exploration and containment missions with heterogenous teams of robots”.

● What is your background?
I hold a Master’s degree in Aerospace Engineering with a specialization in Embedded Systems from ISAE-SUPAERO, France, and a Bachelor’s degree in Aeronautical
Engineering from the University of Science and Technology of Hanoi, Vietnam. During my studies, I gained experience working on advanced projects in robotics, control,
and artificial intelligence. I interned as a Flight Dynamics Engineer at Airbus, where I developed deep learning–based estimation models to predict aircraft landing distances
using real-time flight data. I also worked on research projects at ISAE-SUPAERO focusing on obstacle avoidance for autonomous vehicles and robotic development using ROS2 and Gazebo.
Earlier, at the Hanoi University of Science and Technology, I conducted research on nonlinear control and state estimation for UAV systems, leading to two first-author
publications at international conferences.
These experiences have helped me build strong technical foundations in control theory, reinforcement learning, and robotics, as well as practical programming skills in Python,
MATLAB/Simulink, and ROS.

● Can you briefly explain your thesis topic?
My PhD focuses on robust dynamic planning and control for large-scale multi-agent systems, with applications to exploration and containment missions involving heterogeneous teams of robots.
The goal of my research is to develop a flexible and robust architecture that allows multiple autonomous agents—such as ground robots and aerial drones—to cooperate in real time while exploring unknown areas, locating targets, and maintaining containment or surveillance.
I aim to design optimization-based and learning-enhanced algorithms that enable these agents to adapt to uncertainties, faults, and communication constraints while maintaining
coordinated behavior. The work combines control theory, multi-agent systems, and reinforcement learning, with both simulation and experimental validation planned at ONERA
and LCIS laboratories.

● What skills can you share?
I have strong technical expertise in control theory, robotics, and autonomous systems, particularly in designing and implementing control and planning algorithms for multi-agent and robotic platforms. I’m proficient in tools such as Python, MATLAB/Simulink, ROS2, and Gazebo, which I use for simulation, algorithm development, and real-time implementation.
I also have experience with machine learning and reinforcement learning, applying these  techniques to improve decision-making and adaptability in autonomous systems.I’m also comfortable working with large datasets, optimizing algorithms, and validating solutions both in simulation and on hardware platforms.

● Where can we find you? How can we contact you?
You can find me at LCIS (Laboratoire de Conception et d’Intégration des Systèmes), UGA, Grenoble INP-UGA, 50 Rue Barthélémy de Laffemas, 26000 Valence, France or
reach me via email at son-hoang.nguyen@lcis.grenoble-inp.fr . I’m always happy to discuss ideas, potential collaborations, or just chat over coffee!

● Would you like to share anything else (an experience, a passion, something personal, etc.)?
Outside the lab, .I am passionate about science, movie, football, music. I believe that creativity, whether in research or daily life, is essential for innovation and personal growth.