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:

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
    Paper (PDF, 84 MB) Video (MP4, 226 MB) Supplemental (PDF, 7 MB) Supplemental Video (MP4, 77 MB) Source code

  • Circles of Confidence for Multi-Label Geometry Completion

    Alice Ziyu Wei, Christian Hafner, Aleksei Kalinov, Peter Heiss-Synak, Chris Wojtan
    Computer Graphics Forum (Symposium on Geometry Processing 2026). 2026
    Project page (ISTA)

  • 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

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