Experience

Skolkovo Institute of Science and Technology

• Russian Federation
• Higher Education
• 400 - 500 Employee

• Head of Research

  • Apr 2023 - Present



Moscow Institute of Physics and Technology (State University) (MIPT)

• Russian Federation
• Higher Education
• 100 - 200 Employee

• Associate Professor

  • Oct 2022 - Present

  Сonducting seminars. Development of teaching materials. Scientific guidance over students. Conducting lectures. Subjects: Programming in modern C++, Foundation of operating systems, Application of computer technologies in scientific research, Machine learning.

• Researcher Project Lead

  • Jan 2020 - May 2023

  Since 2020, I have been leading a scientific project to solve seismic inverse problems using deep neural networks (Tensorflow/Keras, PyTorch). As the leader of a team of five specialists. Created deep learning networks on PyTorch and Keras frameworks. Was engaged in the selection of a team to solve the problem. Controlled expenses within the budget. Conducted annual reporting on project activities, including the expenditure of budgetary funds. Presented the results at international conferences and scientific journals indexed in SCOPUS. Mentored students and junior researchers. Show less

• Senior Lecturer

  • Sep 2018 - Aug 2022

  Chair of Informatics and Computational Mathematics. Conducting seminars. Development of teaching materials. Scientific guidance over students. Conducting lectures. Solved problems: Implementation of a two-semester course on the modern C++ language at the Department of Physical and Quantum Electronics of Moscow Institute of Physics and Technology. Development of teaching materials for the course.

• Researcher

  • Aug 2018 - Jan 2020

  Laboratory of applied computational geophysics. Researching and conducting computational experiments. Creating numerical models and their program implementations. Writing scientific articles. Taking part in conferences. Mentoring students and junior researchers. Scientific project management. Solved problems: Writing machine learning models for solving seismic inverse problems in order to detect fractured structures on the Tensorflow/Keras framework

• Assistant Lecturer

  • Sep 2014 - Aug 2018

  Chair of Computer Science. Conducting seminars. Solved problems: Supervising a student thesis project, resulted in successful defense of the bachelor diploma.

• Engineer

  • Aug 2014 - Aug 2015

  Laboratory of applied computational geophysics. Assisted in researching and conducting computational experiments. Writing programming code. Solved problems: Construction of a mathematical model of an elastic-acoustic geological environment. Implementation of a solver for solving a direct acoustic problem in C++.



Huawei Consumer Business Group

• China
• Computers and Electronics Manufacturing
• 700 & Above Employee

• Principal Engineer

  • Sep 2022 - Oct 2022

  As part of internal R&D, I developed a mathematical model of physical environments, carried out numerical simulations, received synthetic data for training a deep neural network. Conducted technical expertise for management, consulted on applied mathematical issues (statistics, optimization, algorithms) and programming issues (Python, PyTorch, C++), supervised junior employees. As part of internal R&D, I developed a mathematical model of physical environments, carried out numerical simulations, received synthetic data for training a deep neural network. Conducted technical expertise for management, consulted on applied mathematical issues (statistics, optimization, algorithms) and programming issues (Python, PyTorch, C++), supervised junior employees.