September 2025
Started Ph.D. program in Information Technology at École de technologie supérieure (ÉTS), focusing on reinforcement learning and operations research.
About
I am a Ph.D. candidate at École de technologie supérieure (ÉTS) in Montreal, specializing in the intersection of Artificial Intelligence and Operations Research with a focus on Reinforcement Learning. Before starting my Ph.D., I completed my M.A.Sc. in Information Technology at ÉTS, where I did research on numerical solver optimization for rigid body simulations. My professional experience includes roles as a Assistant Pipeline Technical Director at DNEG and a Tools Specialist at Ubisoft Montreal.
News
2024 - 2025
Worked as Tools Specialist at Ubisoft Montreal, developing and maintaining production pipeline tools for game development workflows.
2022 - 2024
Pipeline Technical Director at DNEG, maintaining and optimizing production pipelines for visual effects projects.
April 2022
Completed M.A.Sc. in Information Technology at ÉTS with research on numerical solver optimization for rigid body simulations.
Education
Ph.D. in Information Technology
École de technologie supérieure (ÉTS)
Montreal, Quebec, Canada
2025 - Present
Research Focus: Reinforcement Learning and Operations Research
M.A.Sc. in Information Technology
École de technologie supérieure (ÉTS)
Montreal, Quebec, Canada
2022
Thesis: Hyperparameter tuning for the projected Gauss-Seidel method in rigid body simulations
B.Eng. in General Engineering
Tunisia Polytechnic School
Tunis, Tunisia
2019
Preparatory Classes (Mathematics-Physics)
Tunis Preparatory Engineering Institute (IPEIT)
Tunis, Tunisia
2016
Projects
Artificial Intelligence & Machine Learning
Medical Image Segmentation with Deep Learning
Developed a deep learning framework for lung cancer tumor segmentation from CT scans during research internship at Université de Moncton (Mitacs Globalink 2019).
Implemented and optimized a 3D-UNet architecture for volumetric medical image analysis, achieving 92.1% sensitivity in tumor detection.
Technical Report
Computer Graphics & Simulation
Building a Ray Tracer from Scratch
This personal project is an exploration of ray tracing fundamentals through the implementation of a ray tracer from scratch in C++.
I am using Peter Shirley's Rendering series and various other online resources to develop this project.
The current version of the project works on CPU only.
Code
Advanced Ray Tracing Renderer
Course project for "Fundamentals of Computer Graphics". Implemented a CPU-based ray tracing renderer in Java with OpenGL integration.
Features include geometric primitive intersection, anti-aliasing, depth of field, spot light sources, and texture mapping.
Source Code
Physics-Based Character Animation
Developed a physics-based character animation system using Proportional-Derivative (PD) controllers.
The system simulates a skeletal puppet suspended by virtual marionette strings. Implemented in Java with OpenGL rendering.
Source Code
Finite Element Method Simulation
Implemented a 2D finite element method (FEM) simulation for deformable bodies with implicit time integration.
The system employs backward Euler integration for numerical stability.
Source Code
Other projects
Irrigation System
This project aims to build a Smart Irrigation System using information about temperature, level of humidity, and luminosity.
The implementation was done in C on an STM32F302R8.
Code
Evolutionary Algorithms
Implemented genetic algorithms for solving the Knapsack Problem. The project explores evolutionary computation techniques including selection, crossover, and mutation operators.
Source Code