Awards

AIM has created a number of awards in order to encourage scientific research and to promote original works.

AIM Award for the best master theses

The AIM awards every year the best master theses from graduates of the Montefiore Institute. A prize of 500€ is awarded by section of the Montefiore Institute or section that is closely linked to the Institute: Biomedical Engineering, Electrical Engineering, Energy Engineering, Computer Science Engineering, MSc in Computer Science, Data Science Engineering, MSc in Data Science, and Physics Engineering.

In 2025, the prize awarded to the Electrical Engineering section was sponsored by FABI for a 500€ amount.

Prix AIM 2024

The 2025 laureates are:

Biomedical Engineering

Julien Brandoit

Title : “A Deep Learning Method for Fast Generation of Degenerate High-Dimensional Conductance-Based Populations from Neuronal Spike Times”

Electrical Engineering

Thomas Braipson

Title : “Non-Emptiness Test for Automata on Linear Orderings: an Efficient Implementation”

Energy Engineering

Antoine Leveaux

Title : “Dynamic Characterization of Flow Separation on the Suction Side of a Pelton Turbine Bucket”

Computer Science Engineering

Thibaud Vanmechelen

Title : “Rapid Cytomine: Foundation Models for Interactive Annotation in Computational Pathology”

Master in Computer Science

Dorian Robyns

Title : “Client Order Forecasting in a Semi-Digital Meal Delivery System Using Machine Learning”

Data Science Engineering

Tom Clara

Title : “Efficient Representation and Manipulation of Automata on Linear Orderings”

Master in Data Science

Andreas Coco

Title : “Can Large Language Models Accelerate the Correction of Student Code ?”

Engineering Physics

Tom Bertrand

Title : “The Fokker-Planck-Kolmogorov Equation Solved Through Smoothed Particle Hydrodynamics: A Computational and Applied Study”

AIM Award for the best PhD thesis

The George Montefiore International Competition, established by our founder, rewarded every five years an exceptional work carried out in a field chosen among the specialties taught at the Montefiore Institute.

For many years, this prize was very renowned in the field of electrical engineering.

In 2014, AIM created another award for the best PHD thesis presented at the Montefiore Institute.

This prize distinguishes a doctoral thesis defended in the past year at the Montefiore Institute. The Doctoral College of the Institute selects, among the candidate theses, the three theses that present the highest scientific interest. The AIM, as part of its award, aims to highlight the societal aspect and industrial implications of the content of the thesis. It is in this spirit that it designates the best thesis.

This prize of 3500 euros was given for the first time in 2015.

En 2025, suite à un changement dans la période de remise de thèse considérée, le prix n’a pas été remis. Le prochain prix sera remis lors de la soirée AIM 2026.

Awardee 2024

Kathleen Jacquerie: Modeling Brain-State Dependent Memory Consolidation

Awardee 2023

Antoine Wehenkel : Inductive Bias in Deep Probabilistic Modelling

Awardee 2022

Loïc Burger (awardee 2022) : Numerical investigation of the magnetic field distributions in structured superconducting film systems

Awardee 2021

Gilles Chaspierre (awardee 2021) : Reduced-order modelling of active distribution networks for large-disturbance simulations

Awardee 2020

Benjamin Laugraud (awardee 2020) : Motion-aware temporal median filtering for robust background estimation

Awardee 2019

Lampros Papangelis (awardee 2019) : Local and centralized control of multi-terminal DC grids for secure operation of combined AC/DC systems

Awardee 2018

Stephanie Van Loo (awardee 2018) : Droplet Microfluidics for single-cell manipulation

Awardee 2017

Quentin Gemine (awardee 2017) : Active Network Management for Electrical Distribution Systems

Awardee 2016

Amaury Johnen (awardee 2016) : Indirect quadrangular mesh generation and validation of curved finite elements

Awardee 2015

Gilles Louppe (awardee 2015) : Understanding Random Forests : From Theory to Practice