Zander Felix Viktorovich is an Associate Professor and Head of the Department of Radioelectronic Systems at the Institute of Engineering and Information Technologies, Siberian Federal University. He specializes in signal processing and satellite navigation systems. Education: Krasnoyarsk Polytechnic Institute, Radio Engineering (1999) Degree: Candidate of Technical Sciences (2002) His research focuses on radio signal analysis , satellite navigation , and digital communication networks . His work includes synchronization techniques for distributed generators in GLONASS systems and optimal parameter estimation for non-standard measurement intervals. Key trends in his publications include: Advancements in radio signal processing (2003-2012) Development of synchronization algorithms for satellite systems Innovations in radio receiving devices and educational materials
Klochkov Svyatoslav Vladimirovich is an Associate Professor in the Department of Theoretical Foundations and Management of Physical Culture and Tourism at the Institute of Physical Education, Sport and Tourism, Siberian Federal University (SibFU), with 11 years of professional experience in his specialty. He holds the academic degree of Candidate of Physical and Mathematical Sciences. He earned his Candidate degree in 2007 from Krasnoyarsk State Technical University (KSTU) with a dissertation titled "Eventological models of resource distribution and filling" in specialty 05.13.01 (Systems Analysis, Control and Information Processing). His educational background reflects a strong foundation in mathematical modeling applied to resource allocation systems. Dr. Klochkov's research integrates Physical Culture , Sports Management , and Tourism Management with advanced methodologies including Systems Analysis , Eventology , and Resource Distribution . His work focuses on developing eventological frameworks to optimize resource allocation in sports events, tourism infrastructure, and physical education programs, bridging theoretical mathematics with practical applications in recreation management. The Institute of Physical Education, Sport and Tourism at SibFU operates through multiple units including the Department of Physical Culture, Department of Theory and Methodology of Sports Disciplines, Department of Medical and Biological Foundations of Physical Culture, and the Laboratory of Sports and Tourism, where interdisciplinary research on athletic performance and tourism systems is conducted.
Morin Andrey Stepanovich is a Doctor of Technical Sciences and Professor at the Department of Mining Machines and Complexes within the Institute of Mining, Geology and Geotechnology at Siberian Federal University. He was born in 1966 and has over 30 years of experience in mining engineering, specializing in open geotechnology and mine aerology. He has served as Head of the Department of Engineering Graphics (2003) and concurrently as Professor of Mining Machines and Complexes (2005). Born: September 25, 1966, Krasnoyarsk Education: Krasnoyarsk Institute of Non-Ferrous Metals (1988), PhD (1993), Doctoral Dissertation (2011) Key Roles: Head of Department of Mining Machines and Complexes, Chairman of student Olympiads in graphical disciplines (2003–2017) Research Interests span geotechnology (open mining), theoretical foundations of mining engineering systems design, and mine aerology. His work focuses on energy-efficient ventilation for deep open-pits, aerostatic transport systems, and environmental safety in mining operations. He also contributes to pedagogical innovations in engineering graphics and geological drawing. Recent Publications (23 in 5 years) highlight advancements in pipeline ventilation systems , aerostatic transport , and thermal air regulation for deep open-pits. Patents address methods for frost rock preparation, dust-gas suppression, and flexible duct designs, emphasizing ecological optimization and resource conservation. Students under his supervision include postgraduates and applicants working on topics like mine ventilation , dewatering systems , and gas emission control . His collaborations with researchers such as Butkin V.D. , Korzukhin I.V. , and Brovina T.A. demonstrate interdisciplinary efforts in mining and environmental engineering. Labs/Teams: Involved in R&D at Siberian Federal University’s Institute of Mining, Geology and Geotechnology, leading projects on aerostatic transport and ventilation systems. Education: Specialized in 'Technology and integrated mechanization of development of placer mineral deposits' (1988), with postgraduate training in 'Open mining of mineral deposits' (PhD 1993) and 'Geotechnology (underground, open and construction)' (Doctoral 2011).
Gileva Natalia Nikolaevna is a Senior Lecturer at the Department of Mining Machines and Complexes, part of the Institute of Mining, Geology and Geotechnology at Siberian Federal University (SFU). With over 25 years of experience at SFU and 11 years specifically in her current department, she specializes in the wear resistance of machine parts, mining equipment operation, and technical design optimization. Research Focus: Wear resistance enhancement, drilling equipment mechanics, and mining machinery reliability Teaching: Materials Science, Operation of mining machinery and equipment Awards: 2015 Certificate of Honor from the Russian Ministry of Education Industrial Experience: Design engineer at Siberian Heavy Machinery Plant, leading equipment engineer at Krayremtekhnika
Demchenko Igor Ivanovich is a Professor at the Department of Mining Machines and Complexes within the Institute of Mining, Geology and Geotechnology at Siberian Federal University. With 23 years of service, he holds a Doctor of Technical Sciences degree and specializes in ensuring the quality of coal products, mechanical equipment for quarries, and intellectual property protection. Education : Higher engineering degree as a mechanic in "Cars and automotive industry" (1977) from Krasnoyarsk Polytechnic Institute, and a degree in "Operation of motor transport". Research interests focus on coal processing , mechanical equipment design , and stress analysis in mining machinery . His work includes 70 inventions, 183 scientific works, and 11 textbooks, with a strong emphasis on industrial applications. Recent publications (2013-2016) highlight his expertise in dynamic screening systems , ultrasonic stress detection , and transport logistics . Notable awards include the Kuzbass International Coal Forum Gold Medal (2006) and the Rossi Coal and Mining Silver Medal (2014) . Scientific Awards First degree diploma and gold medal of the Kuzbass International Coal Forum for a monograph, 2006, Kemerovo Diploma and silver medal of the XXI international specialized exhibition "Rossi Coal and Mining" for the development of a screen with a moving rope field, 2014, Novokuznetsk As a scientific supervisor, he has guided 2 candidate dissertations to completion and actively contributes to dissertation councils. His work integrates patent development , resource optimization , and non-destructive testing .
Professor Igor Rubenovich Agamirzyan is a distinguished academic and administrator at the National Research University Higher School of Economics (HSE), holding professorial positions across multiple departments. He serves as Professor at the Faculty of Computer Science/Department of Software Engineering, Professor at the Moscow Institute of Electronics and Mathematics named after A.N. Tikhonov/Department of Electronic Engineering, and Professor at the School of Innovation and Entrepreneurship. Additionally, he is the Scientific Director of the educational program "Internet of Things and Cyber-Physical Systems." With 28 years of scientific and teaching experience, Professor Agamirzyan has been contributing to HSE since 2016, following a distinguished career in both academia and the technology industry. Professor Agamirzyan's educational background includes: 1986: Candidate of Physical and Mathematical Sciences 1979: Graduated from Leningrad State University named after A.A. Zhdanov with specialty in "Applied Mathematics," qualification as "Mathematician. Teacher" His professional development continues with recent advanced training: 2025: "Modernization of educational programs in software engineering in the context of scientific and technological development of Russia," HSE University 2024: "Problems of training modern specialists in software engineering," Faculty of Computer Science, HSE 2021: "Features of the organization of the educational process at HSE," National Research University Higher School of Economics Professor Agamirzyan's research spans multiple domains at the intersection of technology, innovation, and entrepreneurship. His work focuses on cyber-physical systems, Internet of Things (IoT), digital transformation, and the management of innovation. He has made significant contributions to understanding how technological advancements shape urban environments, business models, and educational approaches. His research often bridges theoretical frameworks with practical applications, emphasizing the importance of integrating technological capabilities with market needs and policy frameworks. His recent publications demonstrate a clear progression from foundational work in programming and software engineering to contemporary research on digital transformation, innovation ecosystems, and cyber-physical systems. The trajectory of his scholarly output reflects the evolution of information technology from standalone systems to interconnected networks and intelligent environments. His work increasingly addresses the societal implications of technological change, particularly in urban contexts and educational settings. Professor Agamirzyan has received numerous prestigious awards and recognitions: HSE University Honorary Diploma (March 2024) Gratitude from the Ministry of Education and Science of Russia (August 2023) Letter of thanks from the Vice-Rector of HSE (January 2023) HSE University Honorary Diploma (March 2022) Gratitude from the Director of the Roscongress Foundation (June 2019) Honorary Diploma of HSE (March 2017) Certificate of Honor of the Ministry of Economic Development of the Russian Federation (March 2012) Gratitude from the Government of the Russian Federation (2011) Gratitude from the President of the Republic of Tatarstan (December 2014) Throughout his career, Professor Agamirzyan has played significant leadership roles in academic administration and innovation management. As Vice-President of HSE from July 2016 to June 2023, he was responsible for developing the university's innovation ecosystem strategy, building relationships with technology businesses, and creating feedback mechanisms with employers to adjust graduate requirements. Prior to this, he served as General Director and Chairman of the Board of JSC "Russian Venture Company" from April 2009 to June 2016. His extensive industry experience, including leadership roles at Microsoft and EMC, informs his approach to academic-industry collaboration and innovation management education. Professor Agamirzyan has been instrumental in developing HSE's innovation infrastructure, including project-based learning initiatives and startup support programs. He has contributed to the establishment of the School of Innovation and Entrepreneurship, which evolved from the Department of Innovation Management founded in 2009. His leadership has helped position HSE as a leader among entrepreneurial universities in Russia, with the university ranking first in the Expert Analytical Center's entrepreneurial university rankings.
Dmitry Vladimirovich Alexandrov serves as Professor at the Faculty of Computer Science, Department of Software Engineering at the National Research University Higher School of Economics (HSE) and heads the Research and Educational Laboratory of Cloud and Mobile Technologies. With 24 years of scientific and teaching experience, he joined HSE in 2014 and has established himself as a leading expert in multiple computer science domains. His academic credentials include Doctor of Technical Sciences (2010) and the academic title of Professor (2012). His educational foundation was built at Vladimir State University, where he graduated in 1997 with specialty in "Computers, complex systems and networks" and earned his Candidate of Technical Sciences degree in 2000. Dr. Alexandrov's research spans artificial intelligence, machine learning, mobile application development (particularly iOS), software engineering, and database technologies. His work bridges theoretical research with practical applications in cloud computing, mobile technologies, and intelligent systems development. His recent publications reveal a strong focus on practical AI applications in software engineering, including code generation using large language models, service mesh optimization, face recognition algorithms, and database technologies. This research demonstrates interdisciplinary collaboration across computer science subfields with real-world applications. HSE University Honorary Diploma (February 2025) Gratitude from the Faculty of Computer Science, National Research University Higher School of Economics (July 2023) Dr. Alexandrov actively supervises students at all academic levels, from bachelor's theses to doctoral research. He has secured significant research funding including the Grant of the President of the Russian Federation for state support of scientific research by young Russian scientists-doctors of sciences. As laboratory head, he directs research on cloud and mobile technologies, oversees scientific seminars, and leads collaborative projects with industry partners. His laboratory recently developed and registered with Rospatent software for visualization and markup of digital medical images in DICOM format, developed in partnership with the N.V. Sklifosovsky Research Institute of Emergency Medicine.
Nikolay Petrovich Pilnik serves as Deputy Dean for Project Work and Interaction with Partners at the Faculty of Economic Sciences of the National Research University Higher School of Economics (HSE) in Moscow. He also holds positions as Deputy Head of the Department of Applied Economics and Senior Research Fellow at the Scientific and Educational Laboratory of Macrostuctural Modeling of the Russian Economy. With over 16 years of scientific and teaching experience, Pilnik has been working at HSE since 2009 and is a member of the Academic Council of the university. Candidate of Economic Sciences (2012) Master's degree in Economics from HSE (2008) Bachelor's degree in Economics from HSE (2006) Pilnik's research focuses on mathematical economics, optimal control, mathematical modeling of economic mechanisms, simulation modeling, and macroeconomics. His work demonstrates a strong emphasis on dynamic general equilibrium models, banking system analysis, and macroeconomic forecasting. He has developed specialized models for analyzing Russian economic systems, particularly in the banking sector, and has contributed significantly to understanding the relationship between monetary policy and banking indicators. His recent publications (2019-2025) reveal a consistent research trajectory in mathematical economics and macrostructural modeling. The articles predominantly focus on general equilibrium modeling, banking system dynamics, optimal control applications in economics, and spatial market analysis. A significant portion of his work examines the Russian banking system's response to monetary policy changes, particularly regarding the Bank of Russia's key rate. Honorary Diploma of the Faculty of Economic Sciences (January 2024) Medal "Recognition - 15 years of successful work" (December 2022) Multiple Academic Work Allowances (2011-2018) Consistently recognized as "Best Teacher" (2012-2023) Pilnik has supervised several graduate students working on topics related to macroprudential policy, budget rules, spatial market equilibrium, and banking sector dynamics. He has participated in numerous research grants, including projects funded by RFBR, RGNF, and RSF, focusing on mathematical modeling of economic systems, financial balance monitoring, and general equilibrium modeling. Pilnik is also actively involved in the Laboratory of Macrostuctural Modeling of the Russian Economy, where he contributes to ongoing research and forecasting projects related to the Russian economy.
Boris Andrievskii is an Associate Professor at ITMO University , actively engaged in scientific research and student supervision. He works at the Laboratory of Multi-Agent, Distributed and Networked Control Systems and has been a professor at ITMO since 2010. Education: Specialist’s degree (1972), PhD in Automatic Control (1979), DSc (2004) Research Interests: Focuses on adaptive management and robotics, contributing to multi-agent systems and networked control research. Scientific Recognition: Senior Member of IEEE Academic Leadership: Participates in the Academic Degree Council and mentors students as part of his responsibilities.
Sergey Vladimirovich Samsonov is an Associate Professor at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE), where he also serves as Head of the International Laboratory of Stochastic Algorithms and Multidimensional Data Analysis within the Institute of Artificial Intelligence and Digital Sciences. He is affiliated with the Department of Big Data and Information Retrieval and the Joint Department of the A.A. Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences. Samsonov began his tenure at HSE in 2018 and has accumulated 7 years of scientific and teaching experience. His educational background includes a PhD from HSE (2024) and a Bachelor's degree in Applied Mathematics and Computer Science from Lomonosov Moscow State University (2017). Samsonov's research focuses on stochastic approximation, reinforcement learning, sampling techniques, Markov chain Monte Carlo (MCMC) methods, and multivariate statistics . His work bridges theoretical mathematics with practical machine learning applications, particularly in developing algorithms with strong theoretical guarantees. He has made significant contributions to understanding convergence properties of stochastic algorithms and developing variance reduction techniques. Analysis of his recent publications reveals a consistent focus on the mathematical foundations of machine learning, particularly in stochastic approximation methods, reinforcement learning theory, and generative modeling. His work often combines rigorous theoretical analysis with practical applications, demonstrating expertise in both pure mathematics and applied machine learning. The publication venues (including top conferences like NeurIPS, ICLR, and AISTATS) reflect the high impact and quality of his research in the machine learning community. Young Scientist Badge (December 2024) Letter of gratitude from the First Vice-Rector of HSE (March 2023) Letter of gratitude from the Faculty of Computer Science at HSE (September 2021) Rector's personal allowance (2022-2023) Numerous bonuses for high-impact publications (2021-2027) Best Teacher award (2024-2025, 2022, 2020) Segalovich Scientific Prize (2022) National Prize 'Leaders in AI - 2024' Samsonov teaches advanced courses including Markov Chains, Sampling and Generative Modeling, and Matrix Computations. His laboratory work focuses on developing stochastic algorithms for machine learning applications. He has been involved in HSE's collaboration with Sber, which has resulted in 19 successfully implemented AI projects since 2021. His research has gained significant recognition, with multiple papers accepted at top-tier conferences including 12 papers presented at NeurIPS in recent years.
Denis Vitalievich Belomestny is a Leading Researcher at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE) in Moscow. He is affiliated with the Institute of Artificial Intelligence and Digital Sciences and the International Laboratory of Stochastic Algorithms and Multidimensional Data Analysis. Belomestny joined HSE in 2014 and has accumulated 11 years of scientific and teaching experience. His academic background includes a Candidate of Physical and Mathematical Sciences degree from Lomonosov Moscow State University (2002) and a specialty in Applied Mathematics from the same university (1998). Belomestny's research focuses on nonparametric statistics , statistics of random processes , numerical methods of stochastics , and financial mathematics . His work demonstrates a strong interdisciplinary approach bridging theoretical mathematics with practical applications in machine learning and artificial intelligence. He has made significant contributions to the analysis of stochastic differential equations, particularly McKean-Vlasov type models, and has developed innovative methods combining deep learning with traditional statistical techniques. His recent publication record shows a clear trend toward integrating deep neural networks with classical stochastic analysis. The 15 most recent articles reveal a growing emphasis on applying machine learning techniques to solve complex problems in statistical inference, particularly in areas like variance reduction, optimal stopping, and density estimation. His research spans both theoretical foundations and practical applications, with increasing focus on the intersection of probability theory and modern AI methodologies. Academic Work Allowance (2020–2021, 2019–2020) Bonus for an article in a foreign peer-reviewed scientific publication (2016–2018) Best Teacher of 2019 Belomestny has been actively involved in advising students and junior researchers, with numerous co-authored publications indicating his mentorship role. He is a key member of the International Laboratory of Stochastic Algorithms and Multidimensional Data Analysis, which received a significant grant from the Russian Science Foundation in 2018 (project No. 18-11-00132) led by Alexey Naumov, with Belomestny as a principal investigator. The laboratory focuses on high-dimensional data analysis and modern stochastic algorithms, positioning Belomestny at the forefront of research in these rapidly developing fields.
