I'm conducting research at the intersection of image synthesis and machine learning, specifically on neural field scene representations.

Learning Image Fractals Using Chaotic Differentiable Point Splatting (2025)
Adarsh Djeacoumar, Felix Mujkanovic, Hans-Peter Seidel, Thomas Leimkühler
Eurographics 2025

Neural Gaussian Scale-Space Fields (2024)
Felix Mujkanovic, Ntumba Elie Nsampi, Christian Theobalt, Hans-Peter Seidel, Thomas Leimkühler
ACM Transactions on Graphics (SIGGRAPH 2024)

Are Defenses for Graph Neural Networks Robust? (2022)
Felix Mujkanovic, Simon Geisler, Stephan Günnemann, and Aleksandar Bojchevski
NeurIPS 2022

timeXplain – A Framework for Explaining the Predictions of Time Series Classifiers (2020)
Felix Mujkanovic, Vanja Doskoč, Martin Schirneck, Patrick Schäfer, Tobias Friedrich

2019 – 2022
Masters in Mathematics in Data Science at the Technische Unversität München

2016 – 2019
Bachelors in IT-Systems Engineering at the Hasso-Plattner-Institut

For a list of software projects, check out my personal website.