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ResearcherID: G-9195-2015
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Ilya Makarov

  • Ilya Makarov has been at HSE University since 2011.


  • 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

Research interests

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 – 2018, 2017

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Lecturers" (2013-2014)
Category "Future Lecturers" (2012)


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"



  • 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 (2020/2021)

Courses (2019/2020)

Courses (2018/2019)

Courses (2017/2018)

Courses (2016/2017)

Courses (2015/2016)

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


Student Term / Thesis Papers

Full list of of student term / thesis papers

Life inside HSE

Conference of academic staff at HSE   

                                Election of the Academic Council

Are you sure, you will be in time???

                            First meeting on EP AMI FCS

 Everybody want to know, what was added to the compote in MIEM dining room
                                  7 days after the accreditation

                                  (3 days left till next disaster)

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

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.

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.

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.

School of Data Analysis and Artificial Intelligence Join the Association for Symbolic Logic

Institutional cooperation between the Association and the Department has been expanded with the participation of three students who wrote their term and graduation papers under the supervision of the Department’s lecturers in the following fields:  Boolean and many-valued logics; Functional expressibility in closed classes; Blueprint trees and building a decision-making system in 3D shooters, based on deduction rules.