EXPERIMENTAL RESEARCH STUDENT - ENSAM
PIMM & LIFSE Labs
EXPERIMENTAL RESEARCH STUDENT - ENSAM
PIMM & LIFSE Labs
Since September 2025, I have been co-developing an experimental mini pulsed plasma–thermal thruster at the PIMM laboratory in Paris, under the supervision of Prof. Bruno Fayolle. The project focuses on a hybrid architecture with radio-frequency assisted breakdown, combining a SPICE-based discharge solver with transient CFD modeling of pulse-driven argon expansion to guide design choices. I contributed to the full experimental pipeline, from electrode–chamber and nozzle design to machining the chamber at PIMM, assembling the propulsion unit, and integrating high-voltage systems and multi-sensor diagnostics to calibrate the thrust stand ahead of testing.
By investigating plasma–wall interactions and impulse-bit repeatability, this work has pushed me deep into unsteady compressible flows, low-temperature plasma physics, and the tight coupling between modeling and hardware, directly shaping my ambition to pursue advanced propulsion research at the interface of simulation, experimentation, and novel engine concepts.
RESEARCH VISITING SCHOLAR - GEORGIA TECH
Daniel Guggenheim School of Aerospace Engineering
During this research internship at Georgia Tech’s NCAE Lab (Nonlinear Computational Aeroelasticity Laboratory) in August 2025 under the supervision of PI. Prof. Marilyn J. Smith, I contributed to ongoing work on the numerical modeling of unsteady aeroelastic phenomena in aerospace applications using Machine Learning Gaussian Regression Process.
Article currently in perr-reviewing : "Accelerating Aerodynamic Load Prediction Gaussian Process - Surrogate Modeling for Proprotor–Wing Unsteady Aeroelasticity"
Relevant courses :
• AE6030 Unsteady Aerodynamics
• AE4331 and AE6333 Rotorcraft Design I
The focus was on computational approaches to fluid-structure interactions, specificaly on the simulation and analysis of aerodynamic behavior under unsteady flow conditions. This experience allowed me to strengthen my skills in computational fluid dynamics (CFD), Machine Learning of Aerodynamics, improve my understanding of aeroelastic modeling strategies, and develop my ability to interpret and analyze complex simulation results. Working in a high-level research environment also helped me gain valuable insight into academic research methodologies and collaborative project workflows.
RESEARCH ASSISTANT - LISPEN LABORATORY
Robotic Disassembling & Remanufacturing
From January to May 2025, I assisted Dr. Olabi at the LISPEN Robotics Lab (ENSAM) on research applying MIT CSAIL’s ASAP framework to robotic remanufacturing sequence automation. My work focused on exploring computer vision and 3D scanning for automated robotic disassembly, developing machine learning-based semantic recognition to enhance robot autonomy in dismantling tasks, and optimizing planning and automation algorithms for efficient manipulation in constrained environments.
This experience strengthens my technical skills in robotics, control, and AI, while exposing me to research methodologies such as literature review, benchmarking, and algorithmic analysis. It also allows me to deepen my understanding of automation challenges at the intersection of sustainable manufacturing and aerospace systems—fully aligned with my long-term academic and professional ambitions.