The Research Council of the Foundation operates as a research advisory body with the mission of facilitating the design and implementation of initiatives aimed at promoting teaching and research in the field of artificial intelligence and its uses.

Research Council lineup

• Konstantin Anokhin

  Konstantin graduated from Ivan Sechenov First Moscow State Medical University in 1980. He completed his Candidate's degree in 1984 and earned his doctorate in 1992 with a thesis on the subject of Early Genes in the Mechanisms of Learning and Memory. Konstantin was appointed as a Professor in 1998. He was elected a corresponding fellow of the Russian Academy of Medical Sciences in Neurobiology in 2002 and an academician of the Russian Academy of Sciences in 2019.

  He has been on staff with the P.K. Anokhin Research Institute of Normal Physiology since 1980. Konstantin Anokhin has led the Neuroscience Department at the National Research Centre "Kurchatov Institute" and served as a guest professor at Cambridge University, Rudolf Magnus Neuroscience Institute in Utrecht, Germany, and Max Planck Institute for Biophysical Chemistry in Göttingen, Germany. Konstantin Anokhin currently heads the Institute for Advanced Brain Studies at Lomonosov Moscow State University and the Laboratory of Neurobiology of Memory at the P.K. Anokhin Research Institute of Normal Physiology.

  His areas of scholarly interest include neural substrates of learning and memory, biological substrates of consciousness and intelligence, mechanisms of brain growth and behaviour, new methods and approaches to brain study, and the fundamental theory of the brain.

  

• Mikhail Burtsev

  Mikhail graduated from the Moscow Power Engineering Institute in 2000 with a Master's degree in Engineering and Technology.

  He has served as a research associate at the Department of Nonlinear Dynamics of the Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences since 2003 and earned his Candidate's degree in Physics and Mathematics there in 2005.

  Mikhail became a senior research associate at the Systemogenesis Department of the P.K. Anokhin Research Institute of Normal Physiology in 2007.

  He has served as Chief of the Neuroscience Department at the Kurchatov Centre for NBIC Technology since 2016.

  He has headed the Neural Networks and Deep Learning Laboratory at the Moscow Institute of Physics and Technology since 2016.

  Mikhail's areas of professional interest include conversational AI and natural language processing, neural network learning models, neurocognitive and neuro-hybrid systems, evolution of adaptive systems, and evolutionary algorithms.

  

• Alexei Dosovitsky

  Alexei graduated from and completed his thesis in Functional Analysis at the Faculty of Mechanics and Mathematics of Lomonosov Moscow State University. Following his thesis, Alexei Dosovitsky worked at the University of Freiburg, Germany, later joined Intel, and currently works for Google and lives in Berlin.

  As a scholar, his research is focused on deep learning and computer vision. Among other projects, he has worked on all-convolutional network architectures, unsupervised learning (Exemplar-CNN), optical flow assessment with neural networks (FlowNet), an autonomous driving simulator (CARLA) and new computer vision architectures (Vision Transformer).

  

• Viktor Lempitsky

  Viktor graduated from the Faculty of Mechanics and Mathematics of Lomonosov Moscow State University in 2004.

  He worked at Microsoft Research Cambridge in 2006–2009.

  Viktor worked as a researcher in the Visual Geometry Group at the Department of Engineering Science of Oxford University, UK, and simultaneously as an advisor to Microsoft Research Russia from 2009 to 2011.

  He was a computer vision expert with Yandex in 2011-2012.

  Viktor Lempitsky has worked in the Skolkovo Institute of Science and Technology (Skoltech) since 2012.

  He has been a Laboratory Head since 2018, Director of the Samsung Artificial Intelligence Centre in Moscow (SAIC-M) since 2019, and on the staff of Yandex since April 2021.

  Viktor sits on the programming committees of the most prominent conferences and journals on the subject of computer vision, namely, ICCV, CVPR, ECCV, NIPS, TPAMI and IJCV.

  

• Artyom Oganov

  Artem graduated from the Faculty of Geology of Lomonosov Moscow State University with a degree in Crystallography and Crystal Chemistry in 1997. In 2002, he defended his PhD thesis in Crystallography at University College London.

  In 2007, Artem Oganov completed his doctoral degree (Habilitation) at the Swiss Federal Institute of Technology in Zürich.

  He served as a Professor and Head of the Computational Material Design Laboratory at State University of New York at Stony Brook between 2008 and 2017.

  With a substantial grant from the Russian government, Artem created and led the Laboratory for Computer Design of Materials at the Moscow Institute of Physics and Technology in 2013.

  Artem established the Commission on Crystallography of Materials at the International Union of Crystallography in 2011 and chaired it until 2017.

  He served as President of the Russian-American Science Association (RASA-USA) in 2013 and 2014 and sat on the Science and Education Council under the President of Russia between 2017 and 2020.

  Artem is currently a Professor at the Skolkovo Institute of Science and Technology.

  He has published over 280 research papers, his citation index exceeds 23,000 and his Hirsch Index is 70. Artem Oganov is a member of Academia Europaea and a Fellow of the Royal Society of Chemistry and the American Physical Society.

  

• Vadim Vasiliev

  Vadim graduated from the Faculty of Philosophy at Lomonosov Moscow State University in 1993 and has worked there ever since.

  He earned his Candidate of Philosophy degree in 1995 with a thesis on the subject of Metaphysical Deduction of Categories of Immanuel Kant. He earned his doctorate in Philosophy in 2002 with a thesis on the subject of Teachings on the Soul in 18th-Century Philosophy of Western Europe.

  Vadim Vasiliev gained the rank of a Professor in 2003. He has headed the Department of History of World Philosophy at the Faculty of Philosophy of Lomonosov Moscow State University since 2004.

  Vadim is a co-founder and co-director of the Moscow Centre for Consciousness Studies.

  He chairs the Expert Council of the Higher Attestation Commission of the Russian Federation on Philosophy, Social Science and Culture Studies and also chairs the Federal Academic Methodology Centre on Philosophy, Ethics and the Study of Religion.

  He has been a corresponding fellow of the Russian Academy of Sciences since 2019.

  

• Dmitry Vetrov

  Dmitry graduated from the Faculty of Computational Mathematics and Cybernetics of Lomonosov Moscow State University. At different points in his career, he has worked at the IT Centre of the Russian Academy of Sciences, Moscow State University, Kurchatov Institute, Skoltech and Yandex.

  He currently heads the Centre of Deep Learning and Bayesian Methods at the Faculty of Computer Science of the Federal Research University Higher School of Economics and leads several industrial projects in partnership with Saudi Aramco, Samsung, Huawei and Sberbank. Dmitry Vetrov has designed the training courses Bayesian Methods of Machine Learning, Graphic Models and Neuro-Bayesian Models. He lectures at the Faculty of Computer Science of the Higher School of Economics, the Faculty of Computational Mathematics and Cybernetics of Moscow State University, and the Yandex School of Data Analysis. Dmitry has contributed to a number of cross-disciplinary research projects for the development of new methods of machine learning and probabilistic inference in the cognitive sciences, medicine, non-organic chemistry and other fields of science.

  He has authored over 200 publications, including a number of articles presented at high-profile international conferences on machine learning and artificial intelligence technologies.