Яковлев Константин Сергеевич

Education and Degrees

2010

Candidate of Sciences* (PhD) in Theoretical Foundations of Computer Science
Program Systems Institute of the Russian Academy of Sciences
Thesis Title: Methods and algorithms for 2D path planning

2006

Master's in Applied mathematics and informatics
Peoples’ Friendship University of Russia , Faculty of physics and mathematics

2004

Bachelor's in Applied mathematics and informatics
Peoples’ Friendship University of Russia , Faculty of physics and mathematics

* Candidate of Sciences
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.

Professional Interests

robotics artificial intelligence intelligent dynamic systems intelligent control systems heuristic search path planning multi-agent systems

Courses (2024/2025)

Research Seminar "Number Theoretic and Algebraic Methods in Data Analysis" (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Eng
Past Courses

Timetable for today

Full timetable

Supervisor of the following Doctoral theses

for a Candidate of Sciences degree

1
S. 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

Languages

Russian - mother tongue

English - fluent

German, French - basic

16

Feb

2015

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.

Konstantin Yakovlev