Dr. Ramon Antonio Rodriguez Zalepinos is an Associate Professor at the Department of Software Engineering, Faculty of Computer Science, National Research University Higher School of Economics (HSE). With 16+ years of scientific and teaching experience, he specializes in geospatial data systems, distributed databases, and high-performance computing. Doctor of Science in Computer Science (2024) Candidate of Technical Sciences (2013) Master's in Computer Science (2008, Donetsk National Technical University) His research focuses on geospatial array databases , distributed systems , and Big Earth Data engineering , particularly through his ChronosDB and Quantum Tensor DBMS projects. He has pioneered cloud-native solutions for multi-terabyte environmental datasets and developed novel approaches for in-database road traffic simulations. Key publication trends show 7+ years of contributions to VLDB and SIGMOD conferences, with special emphasis on: Quantum-enhanced geospatial processing Web-based array database systems Cellular automata integration High-speed raster data aggregation Scientific recognition includes: Best Teacher award (2017-2021, 2023) HSE Personnel Reserve member Additional post-doctoral funding (2024-2027) Multiple publication bonuses (2019-2023) He supervises student research in geospatial data science and leads projects on satellite data processing systems, with implementations at major institutions including Amazon and Planet Labs.
Alexey Vladimirovich Khoroshilov is an Associate Professor at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE), affiliated with the Basic Department "System Programming" of the Institute for System Programming named after V.P. Ivannikov of the Russian Academy of Sciences (ISP RAS). He joined HSE in 2015, bringing 20 years of scientific and teaching experience to his position. His academic background includes a Candidate of Physical and Mathematical Sciences degree (2006) and a specialty in Applied Mathematics and Computer Science from Moscow State University named after M.V. Lomonosov (2001), with the qualification of Mathematician and Systems Programmer. His primary research interests focus on formal methods of software engineering, particularly in the verification and validation of critical systems. He specializes in methods for designing and developing critical systems, formal verification techniques, model-based testing, and requirements analysis. His work has significant applications in operating systems security, real-time systems, and safety-critical software development. His recent publications demonstrate a strong focus on operating system verification, with particular emphasis on abstract model-based runtime verification, security policy integration, and multi-level requirements compliance. His research often combines theoretical formal methods with practical applications in operating system security and verification. The recurring themes across his work include component-based verification approaches, thread-modular analysis techniques, and formal modeling of security policies. Khoroshilov maintains a strong connection with the Institute for System Programming of the Russian Academy of Sciences, where he has worked since 1999 and held the position of leading research fellow as of 2014. He also teaches at Moscow State University's Department of System Programming within the Faculty of Computational Mathematics and Cybernetics since 2009. His teaching focuses on operating system development, particularly courses on the design of operating system kernels for both bachelor's and master's programs. His technical expertise includes verification of operating system components, security policy implementation, and requirements management for critical systems. He has contributed to significant projects related to aviation real-time operating systems, formal security models, and Linux kernel verification.
Makarov Vladimir Aleksandrovich serves as Professor, Head of the Department of Geology of Deposits and Exploration Methods, and Director of the Institute of Mining, Geology and Geotechnology at Siberian Federal University (SFU). With 38 years of professional experience since 1980, he leads academic and research initiatives in mineral exploration while maintaining active teaching responsibilities in forecasting mineral deposits and metallogeny. His educational background includes: Mining Engineer-Geologist (1980) from Krasnoyarsk Institute of Non-Ferrous Metals Candidate of Geological and Mineralogical Sciences (1985) Doctor of Geological and Mineralogical Sciences (2004) Makarov's research centers on predictive metallogenic studies of non-ferrous and precious metals, geological revaluation of man-made mineral wastes, and ore flow management during mining operations. His work integrates field geology with technological solutions for gold recovery optimization and industrial waste reprocessing, particularly focusing on Siberian gold deposits and metallurgical byproducts in the Yenisei Ridge region. Analysis of his 9 most recent publications (2012-2017) reveals consistent focus on gold deposit exploration through geochemical and lithological analysis, waste stream valorization (slag dumps, tailings), and dynamic quality control systems. Key trends include computer-aided deposit prediction, germanium extraction from lignites, and environmental assessment of mining byproducts, demonstrating applied research bridging academic theory with industrial mineral processing challenges. As Chairman of Dissertation Council D 212.099.23 (VAK Order 1124/nk, 2015), he supervises 4 graduate students and leads research teams executing state contracts for entities including Norilsk Nickel and Polius Gold. His secured funding includes an RFBR grant (2016-2017) for germanium production from lignites, alongside regional programs for the Eastern Sayan Mining Complex and VSMB. Through the Department of Geology of Deposits and Exploration Methods, Makarov directs research groups conducting geological-technological mapping, ore quality assessment, and resource base revision across Krasnoyarsk Krai, Khakassia Republic, and the Yenisei Ridge, maintaining strong industry partnerships for mineral exploration projects.
Sergey Aleksandrovich Videnin is an Associate Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE University) since 2022. His academic background includes a Candidate of Pedagogical Sciences degree (2010) and extensive professional experience in both academia and industry. Prior to joining HSE, he served as Deputy Director of the IT Education Development Center at Moscow Institute of Physics and Technology (2021-2022) and as Head of the Department of Information Systems at Siberian Federal University (2010-2021). Videnin's educational background includes graduation from Krasnoyarsk State Pedagogical University named after V.P. Astafyev in 2005 with a specialty in "Informatics with an additional specialty in pedagogy-psychology" and qualification as a "Teacher-psychologist." He has completed numerous professional development courses in educational technologies, digital transformation of education, and software engineering from HSE University, Siberian Federal University, and other institutions between 2011 and 2025. His research interests span information systems architecture, design patterns, object-oriented programming theory, theoretical foundations of programming, programming languages, and application software. Videnin has made significant contributions to educational technology, particularly in implementing active learning methods in programming education within the CDIO (Conceive-Design-Implement-Operate) engineering education framework. Videnin's recent publications demonstrate a strong focus on the intersection of software engineering principles and educational practices, with particular attention to practical applications in real-world contexts including real estate market analysis, biological image processing, and industrial process control. His work shows a consistent trend toward developing practical solutions that bridge theoretical concepts with tangible applications across diverse domains. Gratitude from the Department of Software Engineering, HSE (November 2023) Best Teacher - 2023-2025 High professional potential group (HSE personnel reserve) Category "New teachers" (2023) Winner of the All-Russian competition "League of Lecturers" organized by the Russian society "Knowledge" (May 2023) Videnin has been actively involved in teaching various computer science courses including Software Design, Computer System Architecture, Operating Systems, and Java Programming. He has participated in significant research projects funded by RFBR, the Ministry of Education RF, and RSF, focusing on information systems architecture, digital transformation of education, and industrial process control. His work demonstrates a strong commitment to both theoretical research and practical applications in software engineering and educational technology.
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
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.
Galina Evgenievna Besstremyannaya serves as Professor at the Faculty of Economic Sciences, Department of Applied Economics, and Senior Research Fellow at the International Laboratory of Macroeconomic Analysis at the National Research University Higher School of Economics (HSE). She joined HSE in 2011 and brings 22 years of scientific and teaching experience to her roles. Her academic journey spans multiple prestigious institutions, including previous work at the Center for Economic and Financial Research and Development at the Russian Economic School from 2010-2019. 2023: Doctor of Economics, National Research University Higher School of Economics 2010: PhD, Keio University, major: Economics 2005: Candidate of Economic Sciences, Central Economics and Mathematics Institute of the Russian Academy of Sciences 2001: Master's degree, Russian Economic School, specialty "Economics" 1998: Bachelor's degree, Lomonosov Moscow State University, specialty "Regional Studies" Dr. Besstremyannaya's research program centers on economic growth, innovations, corporate finance, and advanced econometric methods with particular focus on structural and applied econometrics. Her expertise in quantile regression techniques allows her to analyze heterogeneity in economic phenomena across diverse contexts including healthcare systems, innovation dynamics, and Japanese economic development. She has developed sophisticated methodological approaches for examining how policy interventions affect different segments of the population or economy, revealing nuanced insights that traditional mean-based approaches might overlook. Her work bridges theoretical econometric methods with practical applications in public sector economics and international economic systems. Analysis of her publication record reveals a consistent trend toward developing and applying advanced econometric techniques to understand heterogeneity in economic outcomes. Her recent work demonstrates increasing sophistication in quantile regression methods, latent class modeling, and panel data analysis. She has made significant contributions to understanding innovation dynamics in emerging markets, healthcare financing reforms, and Japanese economic development. Her interdisciplinary approach spans economics, finance, health policy, and computational methods, with publications appearing in high-impact journals across these domains. A distinctive feature of her research is the application of complex statistical methods to real-world policy questions, particularly in healthcare systems and innovation economics. Gratitude from the Faculty of Economic Sciences of HSE (February 2024) Gratitude from the International Laboratory of Macroeconomic Analysis (April 2020) Rector's personal allowance (2019–2020) Additional payment for doctoral dissertation defense (2023–2026) Bonus for List B journal publications (2023–2024) Bonus for List A journal publications (2024–2025) Bonuses for international peer-reviewed publications (2020-2022) Dr. Besstremyannaya actively supervises graduate students at HSE across economics and finance programs, overseeing numerous final qualification works. She serves as a reviewer for prestigious journals including European Journal of Operational Research, Applied Financial Economics, and Health Economics. Her methodological expertise has led to invitations to serve on scientific committees for major conferences including the World Congress of the International Health Economics Association and European Economic Association meetings. She has presented her research at numerous international conferences including the Econometric Society meetings and delivered invited talks at institutions such as Stanford University, Kyushu University, and the University of Duisburg-Essen. As a Senior Research Fellow at the International Laboratory of Macroeconomic Analysis, Dr. Besstremyannaya contributes significantly to the laboratory's research agenda focusing on macroeconomic modeling and policy analysis. Her work connects closely with the Department of Applied Economics, where she teaches advanced courses including Innovation and Growth, Methodological Research Seminar, and Behavioral Finance. Her research team frequently collaborates with international scholars, particularly with researchers from Japan, reflecting her specialized expertise in the Japanese economy. She maintains active professional relationships with institutions including Keio University and Hitotsubashi University in Japan.
Sergey Vadimovich Zelenov serves as an Associate Professor at the Faculty of Computer Science, National Research University Higher School of Economics (HSE), working within the Basic Department "System Programming" of the Institute for System Programming named after V.P. Ivannikov of the Russian Academy of Sciences (ISP RAS). He joined HSE in 2017 and brings 26 years of scientific and teaching experience to his position. Dr. Zelenov earned his Candidate of Physical and Mathematical Sciences degree in 2001 and completed his specialist education at Lomonosov Moscow State University in 1998, specializing in Mathematics and Applied Mathematics with the qualification of Mathematician. His research focuses on Real-Time Operating Systems, scheduling algorithms for periodic tasks, software and hardware reliability assessment, and system security analysis. His work demonstrates particular expertise in developing scheduling criteria for conflict-free execution of periodic tasks in real-time environments and applying stochastic methods to analyze complex hardware-software systems. He has made significant contributions to AADL (Architecture Analysis & Design Language) modeling and visualization techniques. Dr. Zelenov's publication record shows consistent scholarly output with multiple publications in reputable journals and conference proceedings between 2017-2019, primarily in the field of real-time systems and system programming. His work frequently appears in the Proceedings of the Institute for System Programming of the Russian Academy of Sciences and international venues like IEEE conferences. Gratitude from the Faculty of Computer Science, HSE (September 2020) As an educator, Dr. Zelenov teaches Applied Systems Analysis for Master's students in Software Engineering at HSE, a course he has consistently delivered across multiple academic years from 2020/2021 through 2025/2026. His professional affiliation with the Institute for System Programming of the Russian Academy of Sciences (ISP RAS) dates back to 1997, indicating a long-standing commitment to system programming research. His scholarly identity is established through multiple identifiers including ORCID (0000-0003-0446-0541), ResearcherID (H-2069-2014), and Scopus AuthorID (10039123900), reflecting his integration into the international academic community.
