Hi, I'm
Computer Graphics Researcher
Master's student · Software Design & Development · Université de Poitiers
I'm a Master's student in Software Design and Development at Université de Poitiers, searching for a PhD position worldwide in computer graphics, with a specific focus on rendering techniques and material appearance modeling.
My work spans neural importance sampling for layered materials, GPU-accelerated interactive visualisation, and physically-based rendering. My research interests are computer graphics, rendering, and neural methods.
An interactive analytical BSDF viewer built in C and Vulkan, developed at the XLIM Laboratory. Enables real-time GPU-accelerated visualisation and manipulation of analytical material models, with efficient parallel computation for interactive performance. I contributed to this project as part of my research internship.
Université de Poitiers
Geometric design & simulation for health, machine learning, advanced 3D algorithms, geometric data structures, parallel programming.
Université de Poitiers
Object-oriented & functional programming, software engineering, human-computer interaction.
École de Technologie Supérieure, Montréal
Extension of neural importance sampling for multi-layered materials; study of generalization across material classes and robustness in Monte Carlo integration; Mitsuba integration with custom BSDF and sampling plugins. Advisors: Adrien Gruson, Mickaël Ribardière.
XLIM Laboratory, Poitiers
Interactive C/Vulkan visualiser for material data with efficient GPU parallel computation; real-time manipulation of analytical models. Advisor: Mickaël Ribardière.
École de Technologie Supérieure, Montréal
State of the art implementation of neural networks for multilayer material importance sampling; custom BSDF integration in Mitsuba. Advisor: Adrien Gruson.
XLIM Laboratory - ANR Digitalis
Texture synthesis algorithms in Python; artwork ageing simulation via example-based methods. Advisors: Rémi Orveau, Daniel Meneveaux.
XLIM Laboratory - ANR Digitalis
Analysis and visualisation of data from point-cloud rendering simulations; large-scale data processing with NumPy and Pandas. Advisor: Mickaël Ribardière.
I'm looking for PhD opportunities. Feel free to reach out.
alexei.czornyj@etu.univ-poitiers.fr