ALEKSEI SAMARIN

Education

2014–2018

Bachelor’s degree, Moscow State University, Computer Science.
Mathematical methods in information processing and decision-making
2018–2020

Master’s degree, Moscow State University, Computer Science.
Nonlinear dynamic systems theory: analysis, synthesis and control
2020–Present

PhD, Moscow State University, Computer Science.
Mathematical modeling, numerical methods and software package

Thesis

Bachelor Observers for linear systems of large dimension
Master Consensus problem for family of dynamic systems in presence of interference
PhD Multi-agent systems and distributed control (in progress)

Experience

2020–Present

PhD student, Moscow State University.

Study of multi-agent systems and distributed control.

+ Solving consensus problem without sharing information between agents;

+ Optimization of data networks using a multi-agent approach and reinforcement

learning;

2021–2022

Research Assistant, Digital core project, Moscow.

Study of the properties of rock cores based on digital images.

Detailed responsibilities:

+ Fast calculation of correlation function 3D maps;

+ Search for new algorithms for the reconstruction of multi-phase images;

+ Reconstruction of multiscale pore networks with a complex structure;

+ Implementation of algorithms in Julia;

2018–2020

Programmer, Glowbyte Consulting, Moscow.

+ Implementation of data base processes;

+ Writing and optimization of SQL queries;

+ Leading a team of developers;

Grants

RSF Observation and control algorithms for multi-agent systems

RSF Hybrid multiscale stochastic reconstructions: from correlation functions to machine learning