Evgeniy Mirkes

Associate Professor

Evgeny Mirkes, Associate Professor at Skoltech, holds a DrSc in Engineering. He specializes in mathematical foundations of machine learning, high-dimensional data analysis, interpreted artificial intelligence, and methods for visualizing complex data. His research combines statistical learning, topological data analysis, neural networks, and explicable AI methods to solve applied problems in science, medicine, and industry.

At Skoltech Prof. Mirkes teaches the following courses:

▪ "Introduction to Data Science" for the Master's degree programs "Artificial Intelligence and Machine Learning", "AI Robotics", "Artificial Intelligence and Financial Technologies" and the PhD program "Computational and Data Science and Engineering".

▪ "Machine Learning" for the Master's degree program "Artificial Intelligence and Financial Technologies"

Artificial Intelligence Center

E.Mirkes@skoltech.ru

Language proficiency

Russian - native

English - fluent

Scientific identifiers

Education

2001 –2001

DrSc. in Engineering, "Functional models of universal neurocomputer", scientific adviser Alexander N. Gorban, Krasnoyarsk State Technical University (since 2006 part of the Siberian Federal University)

1990 –1990

PhD in mathematics and physics, "A priori estimates in the direct kinetic problem", scientific supervisors Valery I. Bykov and Alexander N. Gorban, Ufa State University

1981 –1985

Master of Mathematics with honors, Faculty of Mathematics, Krasnoyarsk State University (since 2006 part of the Siberian Federal University).

Research interests

Projects

Research interests

Machine Learning

High-Dimensional Data Analysis

Interpretable AI

Explainable AI (XAI)

Statistical Learning

Topological Data Analysis

Data Visualization

Neural Networks