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Andrei Zagvozdkin

Education

  • BS, Theoretical Physics, Moscow University of Physics and Technology, 2017
  • MS, Mathematics, Higher School of Economics, 2019
  • PhD, Mathematics, The University of Texas at Dallas, 2024.
  • Machine learning
  • Deep learning
  • Knowledge graphs
  • Topological data analysis.
A continuum of path-dependent equilibrium solutions induced by sticky expectations

P Krejčí, E Kwame, H Lamba, D Rachinskii, A Zagvozdkin

Applications of Mathematics 68 (6), 751-793

  2023
Dynamics of inertial pair coupled via frictional interface

M Ruderman, A Zagvozdkin, D Rachinskii

2022 IEEE 61st Conference on Decision and Control (CDC), 1324-1329

  2022
Hysteresis resulting from Lennard–Jones interactions

D Rachinskii, A Zagvozdkin, O Gendelman

Nonlinear Dynamics 113 (4), 2969-2986

  2025
Bifurcations of Low-Dimensional Systems With Discontinuities: A Case Study of Hysteresis in Systems With Lennard–Jones Interaction Potential and Hopf Bifurcation in Lur’e …

A Zagvozdkin

The University of Texas at Dallas

  2024
Motion dynamics of inertial pair coupled via frictional interface.

M Ruderman, A Zagvozdkin, D Rachinskii

arXiv preprint arXiv:2202.13913

  2022