- 📡 Machine Learning & Photonics Engineering Student
- 🧠 Specializing in advanced computational optical systems and machine learning integration
Freeform Reflector Design : ReflectorML
A research project about freeform reflector design using Physics-Informed Machine Learning (PINN). It aims to use the Monge-Ampere equation to help the learning process reduce computational costs, enforce optical constraints and improve solution accuracy.
Optical Diffractive Response Modeling : DiffractML
A research project about optical diffractive response modeling. It uses RCWA and PyTorch to compute approximations of optical responses. The goal is to combine this method with machine learning in order to enhance the useability and precision of the tool (TORCWA).
Adversarial Attack on NIDS : AdversarialNIDS
This project began as a school assignment to explore adversarial attacks on Network Intrusion Detection Systems (NIDS), and I am now expanding it for personal research and tests. I aim to deepen my understanding of how these attacks can exploit system vulnerabilities while developing new methods to generate deceptive traffic. This expansion will not only enhance my technical skills but also contribute to developing more resilient network security strategies.
As the President of University Robotics Team, I am coordinating all teams to develop our robot for the 'Coupe de France de Robotique'. I'm currently working on physics simulation, image processing, and robot control.
