Research

Experimental and Numerical Fluid Dynamics

Base decisions on high-fidelity numerical simulation backed-up by thorough experimental data towards streamlining and optimizing workflows for performance engineering or medical research objectives

Current research is focused on experimental and numerical fluid mechanics for biofluid dynamics, applied to bladder blockade pattern recognition through laser-identified density changes.

Position

PhD Candidate

École de Technologie Supérieure · LMFA

Dates

September 2026 – August 2029

Thesis topic

Physiological and Pathophysiological Characterization of Bladder Outflow

Supervision

Pr. Giuseppe DI LABBIO

Ureteric Jets seen by greyscale ultrasound - Radiopaedia
Ureteric Jets seen by greyscale ultrasound - Radiopaedia

Ph.D Engineering · On-going

Physiological and Pathophysiological Characterization of Bladder Outflow

Urogenital conditions such as urinary stones and renal insufficiency account for a high rate of emergency admissions and a significant risk of recurrenceThe work characterises bladder outflow under a range of boundary conditions on an in vitro flow simulator, then trains a data-driven flow transformation able to generalise those measurements to complex, patient-specific bladder geometries.

Those models are assembled into a digital twin of an affected bladder, validated against ultrasound and PIV data. Urinary stones serve as the proof of concept for a non-invasive diagnostic tool aimed at both clinical practice and medical device design.

LabVIEWOpenFOAMMachine LearningExperimental Fluid DynamicsParticle Image VelocimetryUltrasound
MANIC-24 ongoing wind tunnel testing
Validation of the aerodynamic performance of MANIC-24 and correlation to CFD data

Master's Degree · 2024-2026

Development of a CFD model for the performance analysis and prediction of a Formula SAE prototype under cornering conditions

Development of a fully parameterized CFD model, integrating precise vehicle dynamics towards positioning of the vehicle, to study the imact of cornering of full-scale vehicle aerodynamics, applied to a FSAE prototype.

The developped model was cross-validated with means such as on-track testing, wind tunnel correlation, and litterature referencing.

PythonStarCCMExcelExperimental Fluid DynamicsCFD

Academic path

2026 –

Doctorate

ÉTS · LMFA

Bladder outflow dynamics and a digital twin for personalised, ultrasound-based diagnosis of urogenital conditions.

  • Characterising bladder outflow on an in vitro simulator
  • Learning a flow transformation for complex bladder geometries
  • Building and validating a digital twin against ultrasound

2025 – 2026

Master's thesis

ÉTS · Self-supported · with Honours

Development of Numerical Methods towards FSAE aerodynamics analysis, under cornering conditions

  • Achieved a fidelity of 96% to experimental data
  • Derived the RRF method for cornering conditions
  • Developed a parameterized Dynamics/CFD model
  • Integrated it to an engineering workflow

2024 – 2025

Master's Student

ÉTS · LARCASE

Adjoint-driven optimization of tubercled leading edges for in-flight morphing, and an AI surrogate for their performance.

  • Trained and supervised 12 interns over 12 months
  • Built the CFD dataset behind the surrogate
  • RANS, URANS and LES comparisons to data
  • Published at AIAA SciTech 2025, Florida

Publications & talks

  1. 2026

    Développement d'un modèle MFN pour l'analyse et la prédiction des performances d'un prototype de formule SAE en conditions de virage

    Hugues Perrin

    Master's Thesis, published in August 2026, École de technologie supérieure

  2. 2025

    Aerodynamic Optimization of Adaptive Wing Configurations With Different Leading-Edge Shapes – Application to the UAS-S45

    Musavir Bashir, Hugues Perrin

    AIAA SciTech 2025 Forum, Orlando, Florida

    PDFDOI

Beyond papers

Personal metrics tied to my academical, engineering and personal background

12
Interns trained
Welcomed and brought up to high-level CFD modelling over 12 months, through constant turnover.
10+
Teaching documents
Introductory aerodynamics and CFD courses, STAR-CCM+ automation material — released openly.
31
Files open-sourced
Reports, datasets and simulation templates, licensed and downloadable rather than described.

Open to collaboration

Co-supervision, shared datasets, or a solver comparison on tubercled geometries — the CFD templates and the correlation data are available on request.