Макаров Илья Андреевич

Education and Degrees

2021

PhD

2015

Doctoral programme
Lomonosov Moscow State University, Mechanics and Mathematics

2011

Degree in Mathematics
Lomonosov Moscow State University, Mechanics and Mathematics

Continuing education / Professional retraining / Internships / Study abroad experience

2018 Department of Computer Science, UCL

2015 Istanbul University, 5th Universal Logic School

2012 Technologies of Blended and Online Learning

Professional Interests

functions of three-valued logic Klein polyhedron Game Artificial Intelligence

Artificial Intelligence:

Network Science: graph embeddings for machine learning problems on graphs; large-scale recommender systems
Computer Vision: image and video super-resolution (including multi-frame and HDR), semantic segmentation, pose estimation, action recognition, etc.
Augmented Reality: depth reconstruction from low-resolution depth sensor and/or RGB; virtual fashion; video games in AR
Virtual Reality: solving the problem of infinite locomotion in limited physical area
Computer Animation: improving graphics in old video games by image-to-image translation; synchronization of two-dimensional face animation for video live news
Autonomous vehicles: path planning, machine vision, three-dimensional scene reconstruction
Game Artificial Intelligence: game-design and game development of video-games in Unreal Engine 4

Other areas:

Discrete Mathematics and Logic: finding finite total equivalence system for closed classes of many-valued logic; ontology-based data access and temporl logics
Number Theory: multi-dimensional integer geometry, multidimensional generalizations of continued fractions
Quantum Mechanics
Applied programming in physics equations

Awards and Accomplishments

Best Teacher — 2022, 2017–2018
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Lecturers" (2013–2014)
Category "Future Lecturers" (2012)

Employment history

HSE University, School of Data Analysis and Artificial Intelligence – Senior Lecturer, Researcher (2011 – current, full-time), Deputy Head (2012-2017)

Grants

Grant of Russian President MK-5016.2012.1 "Multim-dimensional Diophantine Approximations"

Grant of Russian Science Foundation 17-11-01294 "Knowledge Representation, Discovery and Processing: a Logic-based Approach"

Conferences

2016
The 5th international conference on Analysis of Images, Social Networks, and Texts (AIST) (Екатеринбург). Presentation: Smoothing Voronoi-based Path with Minimized Length and Visibility using Composite Bezier Curves
Third International Workshop on Experimental Economics and Machine Learning (EEML 2016) (Москва). Presentation: Modelling Human-like Behavior through Reward-based Approach in a First-Person Shooter Game
The 6th International Conference on Network Analysis (Nizhny Novgorod). Presentation: Co-author Recommender System
ACM Multimedia 2016 (Амстердам). Presentation: First-Person Shooter Game for Virtual Reality Headset with Advanced Multi-Agent Intelligent System

2015
The 4th international conference on Analysis of Images, Social Networks, and Texts (AIST) (Екатеринбург). Presentation: Imitation of human behavior in 3D-shooter game
10th Panhellenic Logic Symposium (Karlovasi, Samos). Presentation: Total Equivalence Systems for Classes of 3-valued Projection Logic whose Projections Equal to the Class of Linear Boolean Functions
10th Panhellenic Logic Symposium (Karlovasi, Samos). Presentation: Logical Generalized Continued Fractions
5th World Congress on Universal Logic (Istanbul). Presentation: Separator Method for Constructing Canonical Types of Formulas

2014
Конференция научно-педагогических работников Национального исследовательского университета «Высшая школа экономики» (Москва). Presentation: Выборы Ученого Совета НИУ ВШЭ

2012
Ломоносовские чтения - 2012 (Москва). Presentation: О некоторых свойствах внутренних полиэдров Клейна

Courses (2024/2025)

Ancient Egyptian Literature (Bachelor’s programme; Faculty of Humanities; 3 year, 1-4 module)Rus
Past Courses

Supervisor of the following Doctoral theses

for a Candidate of Sciences degree

1
D. Kiselev Graph-based recommender systems using network embeddings, 2023
2
Synthetic Data Generation for Different Domains
3
Y. Dayoub Depth estimation algorithms for down-stream computer vision problems
4
I. Semenkov Algorithms for constructing generative models of streaming data
5
Graph embeddings for machine learning on structural data
6
Navigation and Planning in Partially Observable Environments Using Deep Reinforcement Learning
7
M. Golyadkin Neural network methods for image processing and enhancement

Mentoring Coding Projects

Project from 1st year challenge: Cinematic Movie of Space Station Docking in Unreal Engine 4

Supervising Course/Diploma/Research Projects

Complete list including group projects: http://cs.hse.ru/ai/research

- Graph Embeddings (graph representation and ML tasks on graphs)
- Convexity in Networks
- VR infinite locomotion (differential geometry and non-convex optimization)
- Computer Vision: image/video segmentation, super-resolution, depth/reflection/lightning reconstruction, video action recognition
- Augmented Reality: methods and applications, deep fashion and virtual mirrors
- Game design: Multiplayer FPS in UE4
- Social Network Analysis (general problems, analysing echo-chambers, opinion and rumour spreading)
- Deep Reinforcement Learning in VizDoom
- Translation and Generation of Sign Languages
- Many-value logics

Life inside HSE

Election of the Academic Council

First meeting on EP AMI FCS

7 days after the accreditation

                                  (3 days left till next disaster)

                        My first graduates at HSE
                        Testimonial for Ilya Makarov for 2011-2014

17

Jan

2024

Neural Networks of Power: AI Unravels Knots and Tangles in Relationships between Humans, Elves and Hobbits

One of the most popular writers of the last century, John Ronald Reuel Tolkien, was born on January 3^rd. Researchers from HSE University, AIRI and MISSIS have used machine learning to explore the social connections between the characters of his Middle-earth universe. The algorithm managed to create an accurate picture of the social structures and dynamics of the characters' relationships, providing a unique map of interactions in the epic world. The results of the work were published in IEEE Xplore.

15

Jul

2020

Senior Lecturer of DADiII Ilya Makarov at the 43rd International Conference on Telecommunications and Signal Processing (TSP), Milan, Italy, July 7-9

I. Makarov made a presentation “Real-Time 3D Model Reconstruction and Mapping for Fashion” at the conference TSP2020 on the topic of virtual fitting rooms based on machine learning models. Due to the restrictions on the pandemic, the conference was held online.

13

Aug

2018

ANR-Lab hold the Ninth International Summer School "Applied Data Analysis with Python" (TMSA-2018)

The traditional summer school of the International Laboratory for Applied Network Research is over.

15

Dec

2016

HSE Student Analyses Social Network to Find Runaway Brother

It is a fairly common story for families – a runaway teenager leaves a note saying ‘I’m not coming back, and don’t try looking for me’ and turns off their cell phone. In a recent case, however, a sister was able to find her brother by using the knowledge she acquired as a student in HSE’s Applied Mathematics and Information Science programme. Her story shows what social networks can say about its users to someone who knows how to listen.

25

Mar