Aleksandr I. Panov
Scholar

Aleksandr I. Panov

Google Scholar ID: 6pijIbMAAAAJ
AIRI, MIPT
Reinforcement LearningCognitive RoboticsMulti-agent PlanningSign-based World ModelSemiotics
Citations & Impact
All-time
Citations
1,694
 
H-index
21
 
i10-index
54
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Recipient of the Russian Academy of Sciences Medal for Young Scientists (2017)
  • Led CDS team to 1st place in NeurIPS MineRL competition (2019)
  • Led SkillFusion team to 1st place in CVPR Habitat competition (2023)
  • Principal investigator on completed grants from the Russian Foundation for Basic Research (RFBR) and the Russian Science Foundation (RSF)
  • Winner of the Yandex ML Prize 2024 in the Scientific Supervisors category
  • Scientific consultant for Autorobotics team, winner of the Up Great “Level 5” 2024 competition for autonomous cargo transportation
  • Editor of Cognitive Systems Research (Elsevier) since 2019
  • Member of the Scientific Council of the Russian Association for Artificial Intelligence (RAAI) from 2015 to 2022
  • Organized annual summer schools for RAAI and AIRI since 2017
  • Organized the NeurIPS IGLU competition in 2021 and 2022
  • Area Chair for AAAI 2026 (AIA track)
Education
  • Graduated in 2005 from the physics and mathematics school at Novosibirsk State University (NSU)
  • Earned a bachelor’s degree in physical-technical informatics from the Faculty of Physics at NSU
  • Completed a master’s degree in applied mathematics and physics at MIPT, Department of Intelligent Systems (basic department of the Computing Center of RAS)
  • Conducted doctoral dissertation at the Institute for System Analysis of RAS under the supervision of G.S. Osipov; thesis title: 'Research of methods, development of models, and algorithms for forming elements of the sign representation of the subject’s world model'
  • Defended Dr.Sc. (Doctor of Sciences) thesis in Physics and Mathematics in November 2024; thesis title: 'Methods and algorithms of neurosymbolic learning and behavior planning for cognitive agents'
Background
  • Head of Cognitive AI Systems Laboratory at the Artificial Intelligence Research Institute (AIRI), Moscow, Russia
  • Head of the Center for Cognitive Modeling at the Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Russia
  • Research interests include transformer models and structured world models in reinforcement learning, applying language models for behavior planning (including robotics platforms), multi-agent planning and learning, and indoor visual navigation
  • At AIRI, focuses on fundamental research on novel neurosymbolic architectures and LLM/VLM-based agents
  • At MIPT, leads applied research and commissioned projects in reinforcement learning, robotics, and control systems
  • Since 2019, has led the highly sought-after non-industrial Master's Program in Artificial Intelligence at MIPT’s Phystech School of Applied Mathematics and Computer Science (FPMI)