Island
A 4kB demo, ranked 9th at Revision 2024.
About
Hello there, I'm Nazar, currently a computer science student at the
University of British Columbia, Vancouver. I have always been passionate about the various fields
of science. I would later discover how computer science is fundamental
to enhance scientific knowledge discovery.
I love exploring and learning new subjects, especially when I can program them
myself.
My current interests focus broadly around hardware/software optimization, graphics
and machine learning, and especially their application in interdisciplinary fields
such as robotics. I particularly enjoy dealing with the subtleties of hardware
and software in real-life applications.
I developed a particular fascination for astronomy and astrophysics, and how computer technologies allow to push the limits of space exploration and to recover impressive pictures of the universe. I'm a member of the Société Astronomique de Bourgogne where I enjoy sharing knowledge through teaching and public observations with my telescope.
On my free time, I love to experiment with the limits of computers and exploiting all their capabilities, especially with shaders where I challenge my knowledge in mathematics, physics and algorithms to try to combine procedural and physically based rendering methods.
Interests
- Robotics
- Aerospace engineering
- Astrophysics
- Computer architecture
- Computer graphics
Education
In progress
MASc. Electrical and Computer Engineering
University of British Columbia
2022-2025
BSc. & MSc. (1st year) Computer Science
École Normale Supérieure de Rennes
2020-2022
Classe préparatoire aux Grandes Écoles MPSI - MP*
Lycée Carnot - Dijon
Publications
Embedded Safe Reactive Navigation for Multirotors Systems using Control Barrier Functions
ICUAS 2025
Experience
Jun. - Sept. 2025
CERN Summer Student
CERN, Geneva, Switzerland
Acceleration of Geant4's B-field integrator and particle-matter collision simulator on GPU.
Feb. - Jun. 2025
Research Student
National Institute of Informatics, Tokyo, Japan
3D reconstruction of auroras with physically-based machine learning.
Sept. - Dec. 2024
Research Student
Autonomous Robots Lab, Norwegian University of Science and Technology, Norway
Onboard implementation of safe drone navigation based on control barrier functions.
May - Aug. 2024
Research Student
The University of British Columbia, Vancouver, Canada
Simulation of custom floating-point formats for future low-power machine learning hardware.
Sept. 2023 - May 2024
Research Intern
TARAN, IRISA/Inria, France
Design space exploration of approximate low-precision hardware multipliers for deep learning targeting low-power systems.
May - Jul. 2023
Research Intern
GraphDeco, Inria, France
Physically-based renderer implementation, extension and improvement of a real-time morphing operator for SVBRDFs.
Projects
A selection of some of my most notable projects with online content.
Shader experiments
Implementation of several procedural rendering techniques such as raymarching, pathtracing, noise and physically based rendering, using only GLSL shaders.
Boids and marching cubes
Procedural terrain generation via the marching cubes algorithm accelerated on the GPU with OpenGL compute shaders. Boids fly around in the generated terrain, simulating flocking behaviour.
Online calculator for multiple gravity assists trajectories
A tool to compute optimal interplanetary trajectories with multiple gravity assists for the video game Kerbal Space Program.
x86 bootsector experiments
Implementation of a Mandelbrot set renderer and a two-player PONG in x86 assembly in less than 512 bytes, executable in a bootsector.
Robot neuroevolution
Training a neural network to drive robots in a simulated environment via a genetic algorithm, and testing the trained network in a real robot.