جست‌وجوی استاد و پژوهشگر

Rodriguez Zalepinos Ramon Antonioمشاهده پروفایل

دانشیار

• distributed systems
• databases
• Big data
• +۶ مورد دیگر

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.

• Philosophy of technology
• Political philosophy
• History of German philosophy
• +۷ مورد دیگر

Alexander Vladislavovich Mikhailovsky is an Associate Professor at the School of Philosophy and Cultural Studies within the Faculty of Humanities at the National Research University Higher School of Economics (HSE) in Moscow. He has been teaching at HSE since 2004 and has 26 years of scientific and teaching experience. His primary academic affiliation is with the School of Philosophy and Cultural Studies, which was established in 2020 through the merger of the School of Philosophy and the School of Cultural Studies. Mikhailovsky earned his Specialist degree in Philosophy from the Russian State Humanitarian University in 1998, followed by a Candidate of Philosophical Sciences degree in 2002 (specialty 09.00.03 "History of Philosophy"). He was awarded the academic title of Associate Professor in 2009 and most recently received his Doctor of Philosophy degree in 2024. His doctoral dissertation focused on "Discussions about technology and the 'other modern' in Germany: between cultural criticism and technocracy." Mikhailovsky's research spans multiple interconnected fields within philosophy, with a particular focus on the philosophy of technology, political philosophy, and intellectual history. His work examines German philosophical traditions from the early 20th century to contemporary thought, with special attention to figures like Ernst Jünger, Martin Heidegger, and conservative revolutionary thinkers. He has developed a distinctive approach to understanding the relationship between technology, culture, and politics, analyzing how technological development has shaped modern consciousness and political structures. His recent work has increasingly focused on the ethical implications of artificial intelligence in a multipolar world, as demonstrated by his lecture in China on "Political Philosophy for AI Ethics in a Multipolar World" in May 2025. Analysis of his recent publications reveals a consistent trajectory exploring the philosophical dimensions of technology through historical and contemporary lenses. His work bridges German intellectual history with current technological challenges, particularly examining how early 20th century critiques of technology remain relevant to contemporary AI ethics debates. The publications demonstrate growing international engagement, with increasing collaboration with scholars from China and other non-Western academic contexts. Honorary Diploma of the Faculty of Humanities of HSE (2024) Letter of thanks from the HSE Vice-Rector (2024) Certificate of Honor of HSE (2022) Multiple Best Teacher awards (2011, 2013-2014, 2017, 2021-2025) Winner of the Competition for Best Russian-Language Scientific Works (2021) Potanin Foundation grants for young teachers (2005/2006, 2007/08) Mikhailovsky has supervised nine doctoral students to completion or in progress, including Pavlov I.I. (2021), Apaeva A.Yu. (2015), and Gulyaev R.V. (2013). His research has been supported by numerous grants, including projects on the "Political Theology of Stefan George's Circle" (2011-2013), "Philosophy of Technology in Germany between the World Wars" (2009-2010), and "The Heritage of Carl Schmitt and its Relevance for Contemporary Political Thought" (2007-2008). He has also received international fellowships including DAAD research scholarships in Berlin and grants from the Institute for Human Sciences in Vienna. As an active member of the academic community, Mikhailovsky serves on the editorial boards of several journals including "Otechestvennaya filosofiya," "Jünger Debatte," and "Philosophy. Journal of the Higher School of Economics." He regularly participates in international conferences, with recent presentations in China, Russia, Austria, and Germany, demonstrating the global reach of his scholarly work.

• Environmental biocontrol
• Phytoremediation of aquatic environments
• Ecotoxicology
• +۵ مورد دیگر

Sorokina Galina Aleksandrovna is an Associate Professor at the Department of Ecology and Nature Management, Siberian Federal University. With a Candidate of Biological Sciences degree from Krasnoyarsk State University (1981), she specializes in environmental biocontrol and phytoremediation. Focus on chlorophyll fluorescence analysis for pollution monitoring Developed educational resources in ecological toxicology and radioecology Extensive collaboration on urban forestry and stress physiology Research Interests: Her work bridges ecotoxicology and plant physiology, using fluorescence methods to assess pollution impacts on aquatic and terrestrial plants. Publications cover: Heavy metal toxicity in water ecosystems Winter dormancy in urban trees Adaptive strategies of Elodea canadensis Air pollution effects on coniferous trees Geoinformation tools for environmental education Scientific Contributions: She authored key textbooks like Ecological Toxicology (2014) and Modern Approaches to Environmental Biocontrol (2012), and contributed to international conferences on urban ecology. Recipient of Ministry of Education and Science Certificate of Honor Active in the Society of Plant Physiologists

• Computational Biology
• Bioinformatics
• Mass Spectrometry Data Analysis
• +۵ مورد دیگر

Attila Kertesz-Farkas is a Hungarian-born academic currently serving as Assistant Professor at the Faculty of Computer Science, Department of Data Analysis and Artificial Intelligence, at the National Research University Higher School of Economics (HSE) in Moscow. Since 2021, he has also been Head of the Research and Educational Laboratory of Artificial Intelligence for Computational Biology. He joined HSE in 2015 after completing postdoctoral positions at the University of Washington and the International Centre of Genetic Engineering and Biotechnology. His educational background includes: Doctor of Science (2022) from National Research University Higher School of Economics PhD (2010) from University of Szeged Master's degree in Computer Science (2004) from University of Szeged Kertesz-Farkas's research focuses on the intersection of artificial intelligence and computational biology, particularly in mass spectrometry data analysis. His work spans computational proteomics, human gait analysis, and medical applications of machine learning. He develops novel algorithms for peptide identification, protein classification, and single-cell analysis, with applications ranging from cancer research to environmental contamination analysis. His research group actively explores how deep learning can improve the analysis of biological data that is inherently non-human readable. His scientific contributions have been recognized with several awards including a Letter of thanks from the Rector of HSE (December 2022), a Letter of gratitude from the Faculty of Computer Science (September 2021), and the Best presentation award at ICMLC 2023 conference. As an academic supervisor, Kertesz-Farkas mentors multiple PhD students working on diverse projects including generative models for mass spectrometry data, human gait control systems for prosthetics, and deep learning applications for single-cell analysis. His research is supported by the allowance for defending a doctoral dissertation (2022-2025) and various research projects at HSE. He leads the Laboratory of Artificial Intelligence for Computational Biology, which focuses on developing AI methods specifically tailored for biological data analysis problems. The laboratory conducts research in computational proteomics, medical applications of machine learning, and the development of tools for mass spectrometry data interpretation.

Makarov Sergey Lvovichمشاهده پروفایل

دانشیار

• Software Engineering
• Artificial Intelligence
• Mobile Development
• +۶ مورد دیگر

Sergey Lvovich Makarov serves as an Associate Professor in the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE), where he has been employed since 2012. With 21 years of scientific and teaching experience, he holds formal academic credentials including a Candidate of Technical Sciences degree (awarded in 2009) from the Moscow State Institute of Electronics and Mathematics, specializing in Automated Design Systems. His research interests span software engineering, artificial intelligence, mobile development, Internet of Things technologies, automatic text processing, and an unusual interdisciplinary focus on fashion informatics where he applies computational methods to analyze symbolic systems in costume design. This dual expertise is reflected in his publications that bridge technical computer science with applications in fashion industry analysis. Makarov's scholarly output demonstrates a consistent trajectory from foundational work in intelligent information processing systems toward increasingly sophisticated applications in mobile development, IoT ecosystems, and fashion data analysis. His recent publications (2018-2023) focus heavily on practical hardware-software integration through Arduino and Raspberry Pi platforms, while maintaining his distinctive research thread analyzing symbolic systems in fashion design through computational methods. Gratitude from HSE University (May 2024) Gratitude from the Department of Software Engineering, HSE (November 2023) Medal 'Recognition - 10 years of successful work' (December 2022) Gratitude from the Faculty of Computer Science, HSE (September 2019) Academic Work Allowance (2014-2018) As an educator, Makarov supervises student research including Potapenko Vladimir Andreevich's 2013 qualification work on CRM system development. He has received multiple Academic Work Allowances recognizing his teaching excellence. His research includes significant grant-funded projects, notably serving as responsible executor for the R&D project 'Intelligent system for searching the Internet for information analogues of text documents' (2010-2011) and participating in research on decision support systems (2012). His scholarly contributions include numerous publications, research grants, and participation in conferences focusing on AI applications and intelligent systems. Makarov maintains active involvement in curriculum development, particularly in mobile application development and IoT technologies, as evidenced by his current teaching assignments for the 2025/2026 academic year which include specialized courses in Android development using both Kotlin and Java, Manufacturing Data Collection and Analytics, and IoT Ecosystems.

• Higher Education System
• Education Statistics
• Quantitative Data Analysis
• +۴ مورد دیگر

Melikyan Alisa Valerievna is an Associate Professor at the Faculty of Computer Science, Department of Software Engineering at the National Research University Higher School of Economics (HSE). She has been working at HSE since 2008 with 16 years of scientific and teaching experience. Currently, she serves as Academic Director of the educational program "Product approach and data analytics in HR management". PhD in Educational Sciences (2019) from HSE Postgraduate studies in Sociology of Management (2009) Dual Master's degrees in Management Strategy from Université Paris-Est Créteil and Management from HSE (2007) Bachelor's degree in Management from HSE (2005) Dr. Melikyan specializes in higher education research with focus areas including the higher education system, education statistics, quantitative data analysis, international education markets, university-business cooperation, data science, and data analytics. Her research combines statistical methods with educational policy analysis, particularly examining how Russian universities operate in international markets and collaborate with business entities. She has developed expertise in applying data science techniques to educational research questions. Her recent publications demonstrate a consistent focus on analyzing Russian higher education through statistical methods, with particular attention to university internationalization, export activities, and collaboration with business. The research shows progression from broader system analysis to more specific examinations of university-business cooperation, IT specialist training, and data-driven approaches to understanding higher education dynamics. Her scientific achievements have been recognized through various awards: Gratitude of the first pro-rector of HSE (January 2024) Medal "Recognition - 15 years of successful work" HSE (December 2022) Gratitude of the Faculty of Computer Science HSE (September 2020) Rector's personal allowance (2017-2018) Academic work allowance (2013-2017) Named "Best teacher" for 2025 and 2019-2022 Dr. Melikyan has led research projects on improving procurement legislation (2022-2024), methodology for assessing regional education systems (2013-2014), database harmonization for Russian publications (2012-2013), and bibliometric analysis of Russia's position in global science (2011). She has been actively involved in developing and teaching courses related to data analysis, programming, and quantitative methods for social sciences.

• Remote Sensing
• Geographic Information Systems (GIS)
• Forest Ecology
• +۵ مورد دیگر

Sergey Im is an Associate Professor in the Department of Geography at Siberian Federal University's School of Ecology and Geography. With 20 years of professional experience in his specialty, he holds a Candidate of Technical Sciences degree (equivalent to PhD) awarded in 2004 for his dissertation on Microwave and spectroradiometric surveys in forest area research . He graduated from Krasnoyarsk State Technical University in 2001 with a specialization in information systems in geoinformation systems. Dr. Im's research focuses on the application of remote sensing data and GIS technologies for forest area research, with particular emphasis on climate change impacts on Siberian forests, permafrost dynamics, and vegetation monitoring. His work spans several key areas including forest-tundra ecotone dynamics, larch forest responses to warming, and satellite monitoring of environmental changes across Siberia. His extensive publication record shows a clear trend toward increasingly sophisticated remote sensing techniques applied to pressing environmental questions, particularly the interaction between climate warming, permafrost degradation, and vegetation dynamics in Siberia. Recent work demonstrates growing integration of multiple satellite data sources and advanced analytical methods to monitor ecosystem changes at various spatial and temporal scales. Krasnoyarsk City Mayor's Prize for Young Talents (2007) Dr. Im teaches courses in Remote sensing of the Earth, Geographic information databases, Mathematical statistics, and GIS in geography. His advanced training includes multiple certifications in information and communication technologies, modern GIS applications, e-learning methodologies, and pedagogical approaches. His research collaborations span numerous Siberian institutions and involve extensive fieldwork across diverse Siberian ecosystems from the Arctic to mountainous southern regions.

• Process Mining
• Software Process Mining
• Object-Oriented Programming
• +۷ مورد دیگر

Sergey Shershakov is an Associate Professor at the Faculty of Computer Science, Department of Software Engineering at the National Research University Higher School of Economics (HSE University). He serves as the Academic Director of the Systems and Software Engineering educational program and has been with HSE University since 2010. His academic journey includes a PhD from HSE University (2020) and a Master's degree in Software Engineering from the same institution (2012). Dr. Shershakov's research focuses primarily on Process Mining and Software Engineering, with specific interests in: Process Mining methodologies and tools Software Process Mining and analysis Object-Oriented and Component-Oriented Programming Information Systems Architecture Verification of Algorithms Embedded Systems development His scholarly contributions demonstrate a consistent focus on developing practical tools and methodologies for process mining, with particular emphasis on creating graphical interfaces (like VTMine for Visio), improving performance of process mining algorithms, and applying these techniques to real-world systems. His work bridges theoretical computer science with practical software engineering applications, especially in the domain of business process analysis and optimization. Dr. Shershakov has received numerous recognitions for his academic work: Best Teacher award (2014, 2017-2021) Best Academic Supervisor in the category 'Admission of Foreign Students' (2024) Multiple Gratitude awards from HSE University leadership (2017-2024) Academic Work Allowance (2016-2021) Member of the 'New Researchers' category in the High Professional Potential Group (2014-2015) As an educator, Dr. Shershakov teaches multiple courses in C++ programming, Algorithms and Data Structures, and Introduction to Programming across different departments at HSE University. He leads research projects including an RFBR grant focused on 'Development of methods for efficient implementation of algorithms of process mining based on large event logs' (2018). He is also an active member of the IEEE Task Force on Process Mining. Dr. Shershakov is affiliated with the Laboratory of Process-Aware Information Systems (PAIS Lab) at HSE University, where he conducts research on process mining techniques and their applications. His work has significant implications for business process optimization, system verification, and software engineering practices.

• Information systems in economics and management
• Logic programming
• Programming teaching methods
• +۵ مورد دیگر

Irina Nikolaevna Lesovskaya is an Associate Professor in the Department of Software Engineering at the Faculty of Computer Science, National Research University Higher School of Economics (HSE). She began her tenure at HSE in 2004 and has accumulated 41 years of scientific and teaching experience. Her academic journey spans multiple institutions including the N.E. Zhukovsky Air Force Engineering Academy, MATI, and MISiS, where she served as Associate Professor before joining HSE. Beyond her faculty position, she has held significant administrative roles as Deputy Dean of both the Faculty of Business Informatics and the Faculty of Business and Management. Lesovskaya earned her Candidate of Technical Sciences degree in 1992 and completed her undergraduate studies at the Kiev State Institute of Culture in 1980, specializing in Library Science and Bibliography. Her professional development includes extensive advanced training, with recent courses in 2024-2025 focused on software engineering education and pedagogical excellence in computer science teaching. She has also completed English language training at HSE at both Pre-intermediate and Intermediate levels. Her research interests center on information systems in economics and management, logic programming, programming teaching methods, and analysis of educational programs. She has made significant contributions to computer science education through the development of curricula and teaching materials aligned with the Federal State Educational Standards. Her work bridges theoretical computer science with practical educational applications, particularly in secondary and higher education contexts. Lesovskaya's publication record demonstrates a consistent focus on computer science education, programming methodologies, and information systems. Her recent work shows increasing emphasis on software engineering education and innovative teaching approaches, while her earlier publications reflect expertise in information retrieval systems and library science. She has contributed to numerous educational materials for state examinations and has developed comprehensive programs for grades 10-11 at the HSE Lyceum. Medal "Recognition - 15 years of successful work" of HSE (February 2020) Honorary Diploma of HSE (November 2013) Honorary Diploma of HSE (December 2012) Gratitude from HSE (November 2007) Medal "For Labor Valor" of the Ministry of Defense of the Russian Federation (April 2004) Throughout her career, Lesovskaya has been actively involved in educational innovation projects including the HSE Internet School of Informatics (2015), development of entrance examination materials for HSE's bachelor's program in Informatics, and creation of comprehensive computer science programs for the HSE Lyceum. She has served as Coordinator of MicrosoftRUS Student Programs and Head of the Laboratory of Educational Innovations at the ITHub Academy, demonstrating commitment to practical student development and industry-academia collaboration. Lesovskaya maintains an active role in the HSE community, including consultation hours for students (particularly for the "Programming in C#" course) and participation in scientific seminars. Her work bridges academic research with practical educational implementation, making significant contributions to computer science education in Russia.

Zharinova Natalia Yurievnaمشاهده پروفایل

دانشیار

• Soil Geography
• Alluvial Soil Formation
• Soil Micromorphology
• +۳ مورد دیگر

Dr. Natalia Yurievna Zharinova is an Associate Professor at the Department of Geography, Siberian Federal University, and heads the Laboratory of Modern Methods of Geography. With a Candidate of Biological Sciences (2011) and a Master's in Information Systems and Technologies (2015), her research focuses on soil geography, alluvial soil formation, and soil micromorphology. Education: Candidate of Biological Sciences (2011) Master's in Information Systems and Technologies (2015) Her research interests span soil-ecosystem interactions, Holocene environmental changes, and digital tools for geographical studies. Recent publications analyze snow cover pollution in industrial regions, paleogeographical reconstructions, and sedimentological characteristics of Siberian floodplains. Notable scientific contributions: 2022 - 2025: Published 6 key papers on snow pollution, mollusk-based paleoenvironmental studies, and molten salt electrochemistry 2019: Developed teaching aids on soil micromorphology and technogenic landscape formation 2016: Authored comprehensive studies on alluvial soil degradation in Siberia Awarded recognition for environmental research excellence, including a 2019 Governor's Commendation and multiple university-level awards (2015). She actively participates in international scientific collaborations and educational innovation projects.

• Automatic text analysis
• Information search
• IT project management
• +۲ مورد دیگر

Natalia Sergeevna Belova is an Associate Professor in the Department of Software Engineering at the Faculty of Computer Science, National Research University Higher School of Economics (HSE University) in Moscow. She has been working at HSE since 2012 with 13 years of scientific and teaching experience. Education: 2010: Candidate of Technical Sciences from Moscow State University of Instrument Engineering and Computer Science, specialty 05.13.11 "Mathematical and software support for computing machines, complexes and computer networks" 2009: Postgraduate study from Moscow State University of Instrument Engineering and Computer Science 2005: Engineer qualification in "Computers, complexes, systems and networks" from Moscow State Academy of Instrument Engineering and Computer Science Research Interests: Dr. Belova's research focuses on automatic text analysis, information search, IT project management, embedded databases, and project-based learning in engineering education. Her work bridges theoretical computer science with practical applications in software engineering education and industry. She has made significant contributions to pattern recognition, face identification systems, and the development of computationally efficient methods for intelligent systems processing multimedia information. Publications Trend: Dr. Belova's research has evolved from foundational work on embedded databases to more recent contributions in computer vision, affect recognition, and AI applications. Her early work (2009-2013) focused on database systems reliability and project-based learning methodologies. Since 2015, her research shifted toward computer vision, pattern recognition, and deep learning applications. Her most recent publications (2022-2025) demonstrate expertise in AI applications across various domains including transportation systems and video analysis. Scientific Achievements: Recipient of the Grant of the President of the Russian Federation for young doctors of science MD-306.2017.9 (2017-2018) Gratitude from the Vice-Rector of HSE University (February 2025) Gratitude from the Faculty of Computer Science, HSE University (July 2023) Multiple publication bonuses for journals in List A and international peer-reviewed publications (2016-2025) Best Teacher award for 2016-2017 Member of the High Professional Potential Group (HSE personnel reserve) Teaching and Mentoring: Dr. Belova has supervised over 25 bachelor's theses on diverse software engineering topics including mobile applications, web platforms, biometric identification systems, and educational software tools. She teaches courses on "Group Dynamics and Communications in Professional Software Engineering Practice" and "Economics of Software Engineering." Her commitment to project-based learning methodology is evident in both her research and teaching practice. Professional Development: Dr. Belova actively participates in advanced training programs, including recent courses on modernization of educational programs in software engineering (2025) and problems of training modern specialists in software engineering (2024).

• Households
• Microeconometrics
• Regional Economics
• +۳ مورد دیگر

Valentin Aleksandrovich Voitenkov serves as a Lecturer and postgraduate student at the National Research University Higher School of Economics (HSE), specifically within the Faculty of Economic Sciences and Department of Applied Economics. He also holds research intern positions at the Scientific and Educational Laboratory of Spatial-Econometric Modeling of Socio-Economic Processes in Russia and the Institute for Statistical Research and Economics of Knowledge's Center for Quantitative Modeling. Voitenkov earned his Master's degree in Economics from HSE in 2024, following a Bachelor's degree in Economics from Ural Federal University in 2022. He is currently in his first year of postgraduate studies with an approved dissertation topic focused on modeling household consumption structure in Russian regions under the influence of crises from 2008-2022, supervised by Olga Anatolyevna Demidova. His research centers on household economics, microeconometrics, and regional economic analysis, with particular expertise in how various crises impact consumer behavior in Russian regions. His work employs sophisticated spatial-econometric modeling techniques to analyze regional economic patterns and responses to economic shocks. He has published extensively on topics including pandemic effects on consumption, export diversification in Russian regions, and the impact of geopolitical events on economic behavior. Analysis of his publication record reveals a strong focus on the economic impacts of crises (particularly the 2020 pandemic and 2022 sanctions), with consistent application of advanced econometric methods to analyze regional economic data. His research spans household consumption patterns, export diversification, migration flows, and financial market behaviors across Russian regions. High Professional Potential Group (HSE personnel reserve) Category 'New Researchers' (2024–2025) Winner of the International Scientific Fund for Economic Research of Academician N.P. Fedorenko competition Voitenkov actively participates in the RSF grant 'Modeling the impact of exogenous shocks on small and medium-sized enterprises and households in Russia: regional aspect' (No. 24-28-01227), contributing to research on crisis impacts on regional economies. He regularly presents at major academic conferences including the Applied Econometrics Conference and META conferences, and has been involved in developing registered databases on economic diversification and sanction impacts across Russian regions. He is an active member of the Scientific and Educational Laboratory of Spatial-Econometric Modeling of Socio-Economic Processes in Russia, participating in laboratory seminars and collaborative research projects focused on regional economic analysis using advanced quantitative methods.

• Databases
• Software Engineering
• Data Warehousing
• +۶ مورد دیگر

Breiman Alexander Davidovich is an Associate Professor at the Department of Software Engineering, Faculty of Computer Science at the National Research University Higher School of Economics (HSE) in Moscow. He began working at HSE in 2010 and has 30 years of scientific and teaching experience. Previously, he served as an Associate Professor at the Department of Personal Computers and Networks at the Moscow State University of Instrument Engineering and Informatics from 1994 to 2013. He also works as a Senior Lecturer at the Luxoft Training Center since 2013 and as Head of the IT Department at Titan Meta LLC since 1996. National Research University Higher School of Economics (2010-present): Associate Professor/Invited Lecturer Moscow State University of Instrument Engineering and Informatics (1994-2013): Associate Professor Luxoft Training Center (2013-present): Senior Lecturer Titan Meta LLC (1996-present): Head of IT Department His educational background includes a Candidate of Technical Sciences degree (equivalent to PhD) from Moscow State Academy of Instrument Engineering and Computer Science in 1998, with a dissertation on "Database software for training systems with multimedia elements," and a degree in Computer Science from Moscow Institute of Instrument Engineering in 1994, specializing in "Computers, Complexes, Systems and Networks." Professor Breiman's research focuses on databases, software engineering, data warehousing, information systems, and knowledge engineering. His work spans theoretical database design, practical implementations of database systems, and educational applications of information technology. He has published extensively on database architecture, reliability engineering, and distributed systems, with a particular emphasis on practical applications in educational and business contexts. His teaching covers database systems, distributed databases, data warehouses, and advanced database topics across multiple programming languages and platforms. His publications reveal a consistent focus on database technologies, evolving from foundational database concepts to modern distributed and big data systems. He has explored specialized areas including embedded databases, social network analysis, process mining, and stream data processing systems, demonstrating both theoretical depth and practical application. Gratitude from the Faculty of Computer Science, HSE (July 2025) Best Teacher award (2021-2024) Best Teacher award (2016-2019) Best Teacher award (2013) Best Teacher award (2011) Professor Breiman has supervised numerous student theses at both bachelor's and master's levels, covering diverse topics in database systems, software engineering, and information systems. His students have developed applications ranging from distributed content delivery systems to health monitoring systems for diabetes patients. He teaches a variety of courses including Databases, Advanced Databases, Distributed Databases and Data Warehouses, and Database Construction, in both Russian and English. His teaching spans multiple campuses of HSE including Moscow, Perm, and Nizhny Novgorod. While not explicitly mentioning specific labs or research teams in the provided information, his work with students on practical implementations suggests active engagement with applied research projects, particularly in database technologies and their real-world applications.

• Nonprofit Sector Management
• Social Projects Management
• Child Welfare
• +۷ مورد دیگر

Alexandra Yuryevna Telitsyna is an active Associate Professor at the Faculty of Social Sciences, Department of Politics and Management at the National Research University Higher School of Economics (HSE), where she has been working since 2018. She also serves as a Senior Research Fellow at the Center for Civil Society and Non-Profit Sector Research. Her primary research interests focus on nonprofit sector management, social projects, child welfare (particularly for orphaned children), mentoring programs, civil society development, and the application of artificial intelligence in social research. She has an extensive publication record with numerous recent works spanning these areas. Telitsyna's academic work shows a clear progression from her early background in biology and psychology to her current focus on social sector management. Her recent publications (2023-2025) demonstrate increasing integration of AI applications with traditional social research methodologies, reflecting her recent advanced training in artificial intelligence applications (2024). 54 total publications including books, journal articles, and book chapters Recent focus on AI integration in social research and management Strong emphasis on practical applications in nonprofit management International collaborations with researchers from multiple countries She has received multiple recognitions including HSE gratitude for pandemic-related analytical work (2020), Center for Civil Society and Non-Profit Sector Research gratitude (2023 and 2019), and an academic achievement bonus (2023-2025). Telitsyna actively supervises student research, including bachelor's theses on nonprofit-government partnerships, and teaches courses on volunteer activities organization and social project management. She participates in numerous professional activities including conference presentations, expert consultations, and collaborative research projects focused on civil society development and child welfare.

• Distributed Control Systems
• Enterprise Solution Development
• Distributed Databases
• +۲ مورد دیگر

Vyacheslav Kulagin is an Associate Professor and Senior Researcher at ITMO University's Faculty of Secure Information Technologies. He holds a PhD and serves as a Tutor within the university structure. Education: Graduated from LITMO Radiotechnical Department in 1960 Research Interests: Implementation of distributed control systems Enterprise solution development Distributed database systems Web application design Mobile application design Publications: Dr. Kulagin has authored over 60 research papers and holds 5 patents in his field. Contact: Email: koulagin@mail.ifmo.ru