Elena Kornaeva

Assistant Professor, Faculty of Computer Science and Engineering, Innopolis University

Joined

March 2023

Names

Elena Kornaeva (Preferred)

Emails

****@mail.ru (Confirmed)

****@innopolis.ru (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Assistant Professor

Faculty of Computer Science and Engineering, Innopolis University (innopolis.ru)

2025 – Present

Assistant Professor

Orel State University (oreluniver.ru)

2013 – 2024

Advisors, Relations & Conflicts

Coauthor

Ivan Stebakov

2017 – Present

Coauthor

Alexei Kornaev

2008 – Present

PhD Advisee

Ivan Stebakov

2020 – 2024

Expertise

physics-based machine learning

2021 – Present

machine learning

2018 – Present

mathematical modeling and numerical method

2008 – Present

continuum mechanics

2008 – Present

Publications

Exploring Variational Methods in Hydro- and Hemodynamics Through Incompressible Velocity Distribution Sampling
Ivan Stebakov, Alexei Kornaev, Elena Kornaeva, Majorov Segey Vladymirovich
- OpenReview Archive Direct Upload
- Readers: Everyone
Artificial Neural Networks as a Natural Tool in Solution of Variational Problems in Hydrodynamics
Ivan Stebakov, Alexei Kornaev, Elena Kornaeva, Nikita Pavlovich Litvinenko, Yuri Kazakov, Oleg Ivanov
- OpenReview Archive Direct Upload
- Readers: Everyone
Flow Domain Parameterization and Training of Generalized Physics-Informed Neural Networks for Solving Navier-Stokes Equations
Ivan Stebakov, Alexei Kornaev, Elena Kornaeva
- ICLR 2025 Workshop MLMP Poster
- Readers: Everyone
Native machine learning for noisy microscopic data processing
Danil Afonchikov, Elena Kornaeva, Irina Makovik, Alexey Kornaev
- Tiny Papers @ ICLR 2024 Archive
- Readers: Everyone
Enhanced hydrodynamic lubrication of lightly loaded fluid-film bearings due to the viscosity wedge effect
Alexander Fetisov, Alexei Kornaev, Elena Kornaeva, Leonid Savin, Yuri Kazakov, alexey rodichev, Sergey Mayorov
- 16 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling
Alexander Fetisov, Elena Kornaeva, Alexei Kornaev, Ivan Stebakov, Bulat Ibragimov
- 16 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling
Elena Kornaeva, Alexey Kornaev, Alexander Fetisov, Ivan Stebakov, Bulat Ibragimov
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- CEC 2022
- Readers: Everyone

Elena Kornaeva

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Exploring Variational Methods in Hydro- and Hemodynamics Through Incompressible Velocity Distribution Sampling

Artificial Neural Networks as a Natural Tool in Solution of Variational Problems in Hydrodynamics

Flow Domain Parameterization and Training of Generalized Physics-Informed Neural Networks for Solving Navier-Stokes Equations

Native machine learning for noisy microscopic data processing

Enhanced hydrodynamic lubrication of lightly loaded fluid-film bearings due to the viscosity wedge effect

Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling

Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling

Co-Authors