Aleksei Kalinov

Aleksei Kalinov

Ph.D. student at Institute of Science and Technology Austria (ISTA), working with Chris Wojtan.

Recipient of Ilya Segalovich Scholarship in 2017 and 2018.

Research interests: physically-based modelling and animation, deep learning and design of efficient algorithms and data structures.

Previous affairs: Deep Learning Research Intern and Software Engineering Intern at NVIDIA and Google.

Education:

M.Sc. in Computer Science and Mathematics with Honors from Skoltech, advised by Sergey Rykovanov
B.Sc. in Applied Mathematics and Computer Science with Honors from Higher School of Economics.

Resume: in PDF format

Research & Projects

Publications

Physics-inspired Procedural Texturing of Extremely Deformable Surfaces

Aleksei Kalinov, Mickaël Ly, Christian Hafner, Chris Wojtan

ACM Transactions on Graphics (SIGGRAPH North America). 2026

Technical Papers Trailer Highlight
Paper (PDF, 84 MB) Video (MP4, 226 MB) Supplemental (PDF, 7 MB) Supplemental Video (MP4, 77 MB) Source code
Multi-Material Mesh-Based Surface Tracking with Implicit Topology Changes

Peter Heiss-Synak*, Aleksei Kalinov*, Malina Strugaru, Arian Etemadi, Huidong Yang, Chris Wojtan

ACM Transactions on Graphics (SIGGRAPH North America). 2024
* Authors contributed equivally.
Project page (ISTA) Paper (PDF, 49 MB) Video (MP4, 48 MB) Source code Two Minute Papers
Error Feedback Can Accurately Compress Preconditioners

Ionut-Vlad Modoranu, Aleksei Kalinov, Eldar Kurtic, Elias Frantar, Dan Alistarh

International Conference on Machine Learning (ICML). 2024
Source Code Paper (Arxiv)
Direct Simulation Monte Carlo for New Regimes in Aggregation-Fragmentation Kinetics

Aleksei Kalinov, Alexander Osinsky, Sergey Matveev, Wendi Otieno, Nikolai Brilliantov

Journal of Computational Physics. 2022
Source Code Paper (Journal) Paper (arxiv)
Machine Learning-Assisted PAPR Reduction in Massive MIMO

Aleksei Kalinov, Roman Bychkov, Andrey Ivanov, Alexander Osinsky, Dmitry Yarotsky

IEEE Wireless Communications Letters. 2021
Paper

Talks

Multi-Material Mesh-Based Surface Tracking with Implicit Topology Changes
APS Global Physics Summit. 2025
Surface Tracking for Large-scale Dynamic Foams and Fluids
King Abdullah University of Science and Technology. 2025
Multi-Material Mesh-Based Surface Tracking with Implicit Topology Changes
New York University. 2024
Bubble Up: Simulating Large-Scale Dynamic Foams and Fluids
Eurographics Doctoral Consortium. 2024
Direct Simulation Monte Carlo and Oscillations in Aggregation-Fragmentation Kinetics
Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC). 2022
Distributed Numerical Modelling of Higher-Dimensional Caustics in Compton Scattering
IX Conference for Young Researchers "Elementary Particle Physics and Cosmology". 2021

Theses

CNN-based Post-Processing of Synthetic Objects for Image Augmentation

Aleksei Kalinov, Anton Konushin

Bachelor's thesis. 2019
Poster (in Russian) Thesis manuscript

Exploratory Projects

"We're not alone" Shader

Aleksei Kalinov

Shadertoy. 2020
Shadertoy
Graph Convolutional Networks Modifications

Mikhail Salnikov^*, Anastasia Remizova^*, Aleksei Kalinov^*, Mark Griguletskii^*, Igor Markov^*

ML Course project. 2020
Report
WESPE Paper Reproduction

Aleksei Kalinov^*, Denis Belyakov^*

DL Course project. 2019
Report Source Code
Skin simulation model

Aleksei Kalinov, Alexander Smirnov, Vladimir Starchenko

Internship project. 2018