Konstantin Yakovlev
- Department Head, Associate Professor: Faculty of Computer Science / Joint Department with the Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences
- Konstantin Yakovlev has been at HSE University since 2014.
Education and Degrees
Program Systems Institute of the Russian Academy of Sciences
Thesis Title: Methods and algorithms for 2D path planning
Peoples’ Friendship University of Russia , Faculty of physics and mathematics
Peoples’ Friendship University of Russia , Faculty of physics and mathematics
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Courses (2025/2026)
- Research Seminar "Number Theoretic and Algebraic Methods in Data Analysis" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
- Past Courses
Courses (2024/2025)
- Research Seminar "Number Theoretic and Algebraic Methods in Data Analysis" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
Courses (2023/2024)
- Research Seminar "Number Theoretic and Algebraic Methods in Data Analysis" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
Courses (2022/2023)
- Research Seminar ''Intelligent Systems and Structural Analysis'' (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
Courses (2021/2022)
- Research Seminar ''Intelligent Systems and Structural Analysis'' (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
Courses (2020/2021)
- Qualification (Postgraduate course; Faculty of Computer Science field of study Informatics and Computer Engineering; 3 year, 1 semester)Rus
- Qualification (Postgraduate course; Faculty of Computer Science field of study Computer and Information Scienc, field of study Informatics and Computer Engineering; 1 year, 1 semester)Eng
- Research Seminar ''Intelligent Systems and Structural Analysis'' (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
Supervisor of the following Doctoral theses
- 1S. Dergachev Decentralized multi-agent navigation
Research projects
Projects funded by the Russian Science Foundation (RSF):
16-11-00048 Decentralized control of squads of cognitive robotic systems in non-deterministic environment: models, methods and algorithms (RSF, 2016-2018, participant; 2019-2020, principal investigator);
14-11-00692 Artificial Intelligence and Dynamics Systems Theory in development of multi-layered control systems for complex technical objects operating in dynamic environments (RSF, 2014-2016, participant).
Projects funded by the Russian Foundation for Basic Research (RFBR):
20-57-00011 Computationally Efficient Methods for Navigation of the Whelled Mobile Robots in Dynamic Environments (RFBR, 2020-2021 гг., participant);
18-37-20032 Methods for Control of the Autonomous Robots in the Environments With Dynamic Obstacles Based on Path Planning (RFBR, 2019-2020 гг., principal investigator);
17-29-07053 Heterogeneous hierarchical systems for dynamic planning and control of the intelligent agent (RFBR, 2017-2019 гг., participant);
17-07-00281 Intelligent control for the coaltions of complex technical objects (RFBR, 2017-2019 гг., participant);
15-07-07483 Localization, mapping and trajectory planning for complex technical objects with multiple degrees of freedom (RFBR, 2015-2017, principal investigator);
15-37-20893 Cooperative pathfinding for squads of interactive agents (RFBR, 2015-2016, principal investigator);
12-07-31058 Methods and algorithms for automated pathfinding (RFBR, 2012-2014, principal investigator);
12-07-00611 Models of the behavior and the roles' structure of the coalition of intelligent agents (RFBR, 2012-2013, participant);
09-07-00006 Recognition, tracking and behavior prediction of dynamic objects of interest (RFBR, 2010-2011, participant);
09-07-12128 Multi-layered models of goal-oriented behavior for joint activity agents (RFBR, 2010-2011, participant);
07-07-13527 Methods and tools for building interactive system «helicopter's pilot assistant» (RFBR, 2008-2009, participant);
Projects funded by the Ministry of Education and Science of the Russian Federation:
14.514.11.4081 Methods, algorithms and software tools for unmanned vehicles control using open-source software (MoSE RF, 2014, participant).
Employment history
|
Federal Research Center “Computer Science and Control” of Russian Academy of Sciences (FRC CSC RAS) Principal Researcher |
2012 - now |
|
National Research University Higher School of Economics (HSE University) Assosiate Professor (part-time) |
2014 - now |
|
Moscow Institute of Physics and Technology (MIPT) Assosiate Professor (part-time) |
2018 - now |
|
AIRI Principal Researcher (part-time) |
2021 - now |
‘Our Result Was Recognised Not Only Within the Project Defence but Also on International Scale’
This year, the European AI Conference (ECAI 2025) accepted an article titled ‘Multi-Agent Path Finding for Large Agents is Intractable’ by Artem Agafonov, a second-year student of the Applied Mathematics and Information Science Bachelor’s programme at HSE University’s Faculty of Computer Science. The work was co-authored by Konstantin Yakovlev, Head of the Joint Department with Intelligent Technologies of System Analysis and Management at the Federal Research Centre ‘Informatics and Management’ of the RAS and Associate Professor at the Faculty of Applied Sciences. In the interview, Artem Agafonov explained how he came up with the idea for the article and how he was able to present it at an A-level conference.
Faculty of Computer Science to Offer Courses during HSE Summer University
Computer Science programme of the Summer University provides unique opportunities for students from around the world. The programme covers various topics in Computer Science from purely theoretical to applied and practical. Theoretical side of the programme includes both a detailed introduction to the theory of computations and more advanced topics in Artificial Intelligence and Statistical Diagnosis. Practical aspects of the programme are tightly integrated with theoretical material. Participants of the programme will have an opportunity to apply the new knowledge in their own programming experience, for example, in processing of natural languages, creating a distributed computing system or implementing a compiler for a programming language.