Aleksandr Panov

Doctor of Physics and Mathematics

Research experience

2010 – now

Senior Research Fellow, Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Artificial Intelligence Research Institute, Moscow, Russia.

Cognitive modelling: proposed the models of a number of cognitive functions of consciousness based on sign-based world view, proposed a model of the sign and investigated procedures of the sign formation, proposed biologically inspired models of sign components: image, significance and personal meaning, proposed algorithms of role distribution in coalition of cognitive agents.

Maching learning and multi-agent systems: developed the composite logical method to extract cause-effect relationships, proposed neuromorphic algorithm of machine learning - heterarchical causal network.

Robotics: developed multilayer control system for coalition of cognive robots.

2018 – now

Deputy Head of Laboratory, Moscow Institute of Physics and Technology, Laboratory of Cognitive Dynamic Systems, Moscow, Russia.

Management of scientific projects, educational programs and industrial applications.

2015 – 2018

Research Fellow, National Research University Higher School of Economics, Laboratory of Process-Aware Information Systems (PAIS Lab), Moscow, Russia.

Investigation of learning mechanisms based on sign representations in the problem of collective behavior planning.

Teaching experience

2011 – now	Associate Professor, Moscow Institute of Physics and Technology, Phystech School of Applied Mathematics and Informatics, Moscow, Russia. Lectures and seminars on Intelligence Control Systems for Robotics, Reinforcement Learning.
2015 – now	Associate Professor, National Research University Higher School of Economics, Faculty of Computer Science, Moscow, Russia. Seminar on Intelligent Data Mining.
2011 – 2016	Assistant Lecturer, Peoples’ Friendship University of Russia, Department of Computer Science, Moscow, Russia. Lectures on Intelligent Dynamic Systems, Theoretical Computer Science and Intelligent Data Analysis.

Education

2011 – 2015

Ph.D. in Theoretical Bases of Computer Science, Institute for Systems Analysis, Moscow, Russia.

Specialized in modelling of goal-oriented behavior of intelligent agents and their coalitions.

Thesis title: “Investigation of methods, development of models and algorithms for formation of elements of sign-based worldview of the actor”.

2009 – 2011

Master of Applied Mathematics and Physics, Moscow Institute of Physics and Technology, Depatment of Applied Mathematics and Management, Moscow, Russia.

Majors: technologies of active databases, computer graphics, game theory and decision making, effective algorithms, decomposition in optimization. Specialized in logical methods (AQ, JSM) of data mining and multiagent systems.

Thesis title: “Investigation and modelling of group behavior for multifunctional agents”.

2009 – 2011

Bachelor of Physics, Novosibirsk State University, Department of Physics, Novosibirsk, Russia.

Majors: operational systems, digital integrated circuits, introduction to CAD, microprocessors, information networks and systems, object-oriented analysis and design. Specialized in semantic integration of databases.

Thesis title: “Semantic integration of biological databases”.

Awards and achievements

2015–по н.в.	Member of Scientific Board of the Russian Association of Artificial Intelligence: RAAI
2016–по н.в.	Member of The Biologically Inspired Cognitive Architectures Society: BICA Society
2017	Winner of the medal of the Russian Academy of Sciences for young scientists in 2017
2016–по н.в.	Member of the Editorial Board of the Cognitive Systems Research journal
2016–по н.в.	Executive Chair of the Organizing Committee of several international conferences and schools: ISyT2017, ICSA 2018, RCAI 2018, 2019, SAIT 2019, BICA 2016, 2017, RAAI Summer SChool 2019.