جستجوی استاد راهنمای دانشگاهی

Andrey Vladimirovich Savchenko is a prominent researcher and educator in computer vision and artificial intelligence at the National Research University Higher School of Economics (HSE) in Nizhny Novgorod. He holds multiple positions including Professor at the Faculty of Informatics, Mathematics, and Computer Science, Leading Researcher at the Faculty of Computer Science and Institute of Artificial Intelligence and Digital Sciences, and Academic Director of the "Artificial Intelligence and Computer Vision" educational program. His educational background includes: 2016: Doctor of Technical Sciences from Nizhny Novgorod State Technical University 2015: Academic title of Associate Professor 2011: Candidate of Technical Sciences 2008: Specialist degree in Applied Mathematics and Computer Science Savchenko's research focuses on computer vision, pattern recognition, and artificial intelligence, with particular emphasis on facial recognition, emotion analysis, and efficient deep learning algorithms. His work bridges theoretical foundations with practical applications, especially in mobile computing environments where computational resources are limited. He has developed innovative methods for making AI systems more efficient without significant loss in accuracy. His recent publications demonstrate a strong trend toward multimodal analysis, combining visual, audio, and textual data for more robust recognition systems. There's a clear emphasis on making AI systems more efficient, especially for mobile devices, and on developing methods that can work with limited computational resources while maintaining high accuracy. His work spans fundamental research on neural network architectures and practical applications in education, healthcare, and human-computer interaction. Among his notable scientific achievements: Gratitude from the Governor of Nizhny Novgorod region (2022) Multiple gratitude awards from HSE (2021-2022) Best Teacher Award (2018-2019) Leaders of IT Industry Award from NEYMARK IT Campus (2023) Academic Success Bonus at HSE (2011-2013) Savchenko has successfully supervised numerous master's students and currently mentors PhD candidates working on cutting-edge topics like large language models for recommendation systems and document analysis. He has secured significant research funding, including projects with Huawei, Sberbank, and the Russian Science Foundation, totaling millions of rubles. His laboratory focuses on developing efficient algorithms for computer vision and multimodal data analysis. He leads the Laboratory of Theoretical Foundations of Artificial Intelligence Models and has established strong industry partnerships that ensure his research has practical impact. His NVIDIA Deep Learning Institute certification demonstrates his commitment to staying current with the latest AI technologies.

• Computer Vision
• Artificial Intelligence
• Pattern Recognition
• +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.

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

Yuri Vyacheslavovich Simachev is a Professor at the National Research University Higher School of Economics (HSE), where he serves as Director of Economic Policy and Director of the Center for Structural Policy Research within the Faculty of Economic Sciences and Department of Applied Economics. He has been working at HSE since 2006 with over 26 years of scientific and teaching experience. His academic journey began with a physics degree from Lomonosov Moscow State University in 1984, followed by a Candidate of Technical Sciences degree in 1993 and additional training in economics and finance. Professor Simachev's research focuses on industrial policy, science and technology policy, development institutions, corporate behavior, small and medium enterprises, and public policy assessment. His recent work has increasingly centered on the impact of economic sanctions on Russian industry, global value chain restructuring, and industrial policy adaptation in the current geopolitical context. His expertise bridges theoretical economic analysis with practical policy implementation, making him a key figure in Russian economic policy discussions. His recent publications demonstrate a strong focus on how Russian companies are adapting to sanctions, with particular attention to export diversification, technological sovereignty, industrial robotization, and low-carbon economic development. The research shows a clear trend toward analyzing Russia's economic adaptation to new geopolitical realities while maintaining competitiveness in global markets. Certificate of Honor of the Higher School of Economics (April 2019) Letter of thanks from the Rector of HSE (November 2017, July 2025) Academic Work Allowance (2019-2024) Winner of the Competition for Best Russian-Language Scientific Works (2022, 2024) Professor Simachev actively contributes to policy development through his leadership of the Center for Structural Policy Research, where he coordinates economic research for state structural and industrial policy development. He regularly advises regional governments and participates in strategic sessions for economic development planning. His teaching includes courses on structural policy and methodological research seminars for bachelor's students, focusing on modern practices and lessons in economic policy implementation.

• industrial policy
• science and technology policy
• development institutions
• +۷ مورد دیگر

Valery Vladimirovich Shilov is a Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE University) in Moscow. He began working at HSE in 2015 and has extensive scientific and teaching experience spanning several decades across various prestigious institutions in Russia. His educational background includes a degree in Applied Mathematics from Lomonosov Moscow State University (1976), qualification as a Lawyer from the Higher Institute of Management (2001), and the academic title of Candidate of Technical Sciences (1989). His professional journey began at Central Research Institute 45 of the Ministry of Defense of the USSR (1976-1989), continued at the USSR Academy of Sciences Computing Center (1989-1997), and included professorial positions at MATI - Russian State Technological University named after K.E. Tsiolkovsky (1997-2015), where he also served as Head of the Department of Design of Computing Complexes and Deputy Dean of the Engineering and Economic Faculty for Science. Professor Shilov's research focuses on parallel computing, parallel architectures, and the history of informatics, with particular emphasis on Soviet and Russian computing history. His scholarly output demonstrates deep engagement with historical aspects of computing technology, including early mechanical calculators, Soviet-era computer development, and the evolution of computing in Eastern Europe. His publications reveal a consistent pattern of examining how computing technologies evolved within specific historical, political, and economic contexts, with special attention to Russian and Soviet contributions. His numerous scientific awards reflect significant recognition in his field, including honors from the Ministry of Education and Science of Russia, the Russian Section of IEEE Computer Society, the Polytechnic Museum, and multiple awards from HSE University. His leadership in organizing academic conferences, particularly those focused on the history of computing in Russia and former Soviet states, has been instrumental in preserving and advancing knowledge in this specialized area. Professor Shilov has supervised multiple PhD students focusing on software engineering, processor architecture, and parallel computing algorithms. His grant activities include leading an RFBR project on the history of domestic computing and informatics (1946-1960), demonstrating his commitment to documenting and analyzing the historical development of computing in Russia. He remains actively involved in academic service as a member of editorial boards for several journals and as a participant in numerous international conferences.

• Parallel Computing
• Parallel Architectures
• History of Informatics
• +۳ مورد دیگر

Eleonora Igorevna Leskina is an Associate Professor and Leading Researcher at the Faculty of Law, Department of Digital and Biolaw at the National Research University Higher School of Economics (HSE) in Moscow, where she has been employed since 2024. Previously, she served as an Associate Professor at Saratov State Law Academy in the Department of Information Law and Digital Technologies (2020-2024) and the Department of Labor Law (2017-2020). She holds a Candidate of Law degree from Saratov State Law Academy (2012) with a dissertation on "Axiological aspects in civil procedural law" and a Jurisprudence degree from Saratov State Academy of Law (2009). Dr. Leskina's research focuses on the intersection of law and emerging technologies, with particular expertise in Big Data regulation, artificial intelligence legal frameworks, personal data protection, blockchain applications, and digital labor relations. Her work addresses critical challenges in data governance, including synthetic data usage, sustainable data turnover, and the legal implications of metaverse environments. She has made significant contributions to understanding the legal regimes of data in various contexts, from healthcare to environmental protection. Her scholarly output demonstrates a consistent focus on contemporary digital law challenges, with numerous publications in leading Russian legal journals and edited volumes. Recent work examines the legal support for synthetic data in AI development, characteristics of Big Data legal regimes, and sustainable data turnover frameworks. Her research shows a clear trajectory toward addressing the most pressing regulatory questions emerging from technological advancement, particularly in the Russian legal context. Gratitude from the Ministry of Justice of the Russian Federation (2023) for effective assistance in solving tasks assigned to the Ministry of Justice, contribution to legal science and education, and training of highly qualified legal personnel Dr. Leskina actively participates in national and international academic discourse, regularly presenting at major conferences including the International Scientific and Practical Conference "Legal Regulation in the Era of Artificial Intelligence" in Samarkand (2025), where she presented on synthetic data for AI development. She has also participated in the Moscow Innovative Legal Forum, conferences at Lomonosov Moscow State University, and the State Duma roundtable on court fees. Her work bridges academic research with practical policy development in the rapidly evolving field of digital law.

• Big Data
• Artificial Intelligence
• Digital Law
• +۵ مورد دیگر

Vladimir Viktorovich Tabolin is a Professor at the Faculty of Law, Department of Public Law at the National Research University Higher School of Economics (HSE), where he has been working since 2022. With a distinguished career spanning several decades in legal academia and public service, Professor Tabolin has established himself as a leading expert in constitutional and municipal law, with a specialized focus on legal urbanology and urban law. His work bridges theoretical legal scholarship with practical governance challenges faced by cities and municipalities. Professor Tabolin's academic credentials include: Master's degree (2019): Belgorod State National Research University, qualification "Master" in Jurisprudence Doctor of Law (2000): Dissertation on "Organizational and legal foundations of the activities of local government bodies in large cities (urbanized regions)" Specialist degree (1991): Russian Socio-Political Institute, specialty "Theory of Socio-Political Relations", qualification "Political Scientist. Teacher of Socio-Political Disciplines" Specialist degree (1981): Moscow Institute of Civil Aviation Engineers, specialty "Operation of aircraft and engines", qualification "Mechanical engineer" Additional training: "Public-legal aspects of Russian legislation" (2022) and "Basic concepts of artificial intelligence" (2024) at HSE Professor Tabolin's research centers on the innovative field of legal urbanology , which he has pioneered as a distinct scholarly discipline examining the intersection of law and urban development. His work explores constitutional and municipal law frameworks through the lens of urban governance, addressing critical questions about how legal systems can effectively support sustainable urban development. His scholarly contributions span theoretical foundations of urban law, historical evolution of urban legal systems (particularly in Soviet and post-Soviet contexts), contemporary challenges of municipal governance in Russian cities, and the emerging relationship between artificial intelligence and urban legal frameworks. Professor Tabolin's recent publications reveal a clear trajectory toward increasingly interdisciplinary urban legal scholarship. His work has evolved from foundational theoretical texts to more applied research addressing contemporary urban challenges, with particular focus on Soviet urban history, AI applications in legal practice, and innovative governance models for Russian cities. His 2023-2025 publications demonstrate growing engagement with technological sovereignty, rural-urban governance interfaces, and alternative development paradigms. Professor Tabolin's contributions to legal scholarship and public service have been recognized with several prestigious awards: Medal of the Order "For Merit to the Fatherland" 2nd degree (1997) Medal "In Memory of the 850th Anniversary of Moscow" (1997) Jubilee Medal "300 Years of the Russian Fleet" (1996) Gratitude from the Public Chamber of the Russian Federation (2016) Gratitude from the Office of the President of the Russian Federation for Civil Service (2007) Honorary Diploma of the Duma of the Khanty-Mansiysk Autonomous Okrug - Yugra (2023) As a dedicated academic mentor, Professor Tabolin serves as a dissertation advisor, currently supervising Nikolai A. Volkov's research on "Constitutional and legal foundations of the formation of the urban planning law system." He has established himself as a prominent figure in legal academia through his leadership of the scholarly school "Urban Law and Legal Problems of Urbanization" and has received significant research funding, most notably an RFBR grant for the project "Development of scientific foundations of legal urbanology." Professor Tabolin also serves on dissertation councils and as a member of the Scientific Advisory Council of the Public Chamber of the Russian Federation since 2012. Professor Tabolin founded and leads the scholarly school "Urban Law and Legal Problems of Urbanization," which has become a significant center for interdisciplinary urban legal research in Russia. Since March 2023, he has served as Chairman of the Board of the Autonomous Non-Profit Organization "Khanty-Mansiysk Scientific Society," where he leads a legal experiment focused on forming a humanitarian scientific cluster in the city and developing legal constructs for obtaining city status as a humanitarian science city.

• constitutional and municipal law
• legal urbanology
• modern urban law
• +۵ مورد دیگر

Alexander Konstantinovich Petrenko is a Professor at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE), where he has been working since 2009. He serves as the Academic Director of the educational program 'System Programming' and is 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). With 42 years of scientific and teaching experience, he holds a Doctor of Physical and Mathematical Sciences degree (2004) and was awarded the academic title of Professor in 2011. His research focuses on verification and validation technologies, formalization of interface standards, and free software/open standards. His work primarily centers on operating system security, formal methods in software engineering, and system programming. He has made significant contributions to runtime verification of operating systems, access control models, and security policy integration. Professor Petrenko's publication record demonstrates a consistent focus on formal methods for operating system verification, with recent work emphasizing security by design principles, dynamic verification techniques, and integration of multiple security models (RBAC, MIC, MLS). His research bridges theoretical computer science with practical applications in system security and reliability. Letter of thanks from the Vice-Rector of HSE (November 2021) Gratitude from the Faculty of Computer Science of HSE (August 2017) With extensive experience across multiple institutions including the Keldysh Institute of Applied Mathematics (1974-1994), the Institute of System Programming of the Russian Academy of Sciences (since 1994, as head of the Department of Programming Technologies since 2004), and Moscow State University (since 1999, as professor since 2004), Professor Petrenko has established himself as a leading expert in system programming and formal verification. He has contributed significantly to educational programs in software engineering that recently achieved professional accreditation. His work spans both theoretical foundations and practical applications in system security, with strong connections to industry needs through his involvement with the Institute for System Programming and collaborations on real-world security challenges.

• Operating System Verification
• Formal Methods
• Software Security
• +۷ مورد دیگر

Vokhmin Sergey Antonovich is Professor and Head of the Department of Mine and Underground Construction at the Institute of Mining, Geology and Geotechnology, Siberian Federal University (SFU). With over 40 years of scientific and pedagogical experience since 1974, he is one of Russia's leading experts in underground mineral deposit mining. He earned his Candidate of Technical Sciences degree in 1982 and has headed his current department since 2001, having previously led the Department of Underground Development of Ore Deposits from 1992-2001. Professor Vokhmin's primary research domains include: Rational utilization of mineral resources during solid mineral deposit development Optimization of drilling and blasting operations for underground mine construction Resource conservation and protection methodologies Physics of rock destruction through blasting techniques His scholarly contributions demonstrate remarkable productivity, with 279 scientific and methodological publications including 59 in central journals. He has authored 5 monographs and 9 textbooks, 6 bearing endorsements from the Ministry of Education's Educational and Methodological Association. His research directly supports mining enterprises in Krasnoyarsk Krai and Sakha (Yakutia) Republic, including Norilsk Nickel operations and Krasnoyarsk Metro construction. Professor Vokhmin's distinguished career has been recognized with numerous prestigious awards: Honored Worker of Higher Professional Education of Russia (2000) Teacher of the Year of Higher Education in Krasnoyarsk Krai (2002) Laureate of the All-Russian Competition 'Engineer of the Year' (2004) Honorary Sign 'Miner's Glory' III Degree (2005) Full Member of the European Academy of Natural Sciences (2006) Professor Prize of Krasnoyarsk City Head (2007) Second Place in 'Best Professor of SFU' Competition (2008) Gold Medal at International Exhibition in Moscow (2014) Gold Medal at International Exhibition in Paris (2015) As an educator, he maintains an annual teaching load of 600-700 hours, including over 200 lecture hours. He has mentored dozens of graduates now working at mining enterprises across Russia and internationally, including in executive positions. Seven candidates have successfully defended dissertations under his supervision, with four currently studying under his guidance. His department received the 'Golden Department of Russia' diploma in 2009 for excellence in education and research.

• Underground Mining
• Mineral Resource Management
• Drilling and Blasting Optimization
• +۳ 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.

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

Roman Aleksandrovich Nesterov is an Associate Professor at the Department of Software Engineering, Faculty of Computer Science, National Research University Higher School of Economics (HSE). He has been with HSE since 2015 and heads the Research and Educational Laboratory of Process-Oriented Information Systems (POIS). His educational background includes a PhD (2022) and Master's degree (2017) from HSE, both in Computer Science and Software Engineering. His research focuses on: Formal methods for distributed system modeling Petri nets and concurrency theory Process mining and event log analysis Multi-agent systems and business process modeling Compositional approaches to system verification His publications demonstrate consistent focus on process discovery algorithms, model verification techniques, and applications of Petri nets in distributed systems. Recent works emphasize hierarchical modeling and architecture-aware solutions for multi-agent environments. Awards and Honors: Golden HSE Prize 2019 (Silver Chick nomination) Multiple 'Best Teacher' awards (2020-2025) Research publication bonuses HSE Faculty of Computer Science Gratitude (2023) He leads the POIS laboratory where he conducts research on automated synthesis of multi-agent system models. His teaching includes undergraduate algorithms courses and graduate-level formal methods in software engineering.

• Petri nets
• Multi-agent systems
• Distributed systems
• +۴ مورد دیگر

Valery Vladimirovich Zavoruev is a Professor at the Department of Ecology and Nature Management within the School of Ecology and Geography at Siberian Federal University (SibFU) in Krasnoyarsk, Russia. He holds a Doctor of Biological Sciences degree with his dissertation focusing on plankton distribution in aquatic ecosystems. His academic career spans several decades with consistent contributions to environmental science and atmospheric monitoring. Doctor of Biological Sciences (2004) Krasnoyarsk State University (Education) Office: pr. Svobodny, 79, building 4, room 44-13 Phone: +7 (391) 206-21-34 Professor Zavoruev's research interests primarily focus on atmospheric pollution monitoring, ecological design, and nature management. His work extensively examines PM2.5 concentrations, benzo(a)pyrene pollution, and the impact of Siberian forest fires on urban air quality. He has developed computational systems for environmental monitoring and conducted significant research on the Yenisei River's influence on Krasnoyarsk's winter atmospheric conditions. His studies often involve spatial analysis of pollution patterns and the development of monitoring technologies. Recent publication trends show Professor Zavoruev has been particularly active in air quality research (2022-2024), with numerous publications on suspended particulates, seasonal pollution patterns, and the development of monitoring systems. His work demonstrates a consistent focus on practical environmental monitoring solutions with immediate applicability to urban pollution challenges in Siberia. The research spans atmospheric science, environmental engineering, and computational environmental analysis. His scientific contributions include: Development of atmospheric monitoring systems Analysis of PM2.5 distribution patterns Studies on river-atmosphere interactions Research on pollution sources from heating systems Wildfire smoke impact assessments Long-term pollution trend analysis Professor Zavoruev regularly collaborates with researchers including Zavorueva E.N., Sokolova O.V., Yakubailik O.E., and Tokarev A.V. on environmental monitoring projects. He teaches courses in Ecology, Environmental management, Ecological design and expertise, Comprehensive assessment of the natural and production potential of the territory, and Modern problems of ecology and nature management, contributing significantly to the education of future environmental scientists.

• Atmospheric Pollution Monitoring
• Environmental Science
• Air Quality Assessment
• +۹ مورد دیگر

Professor Olga Viktorovna Tarasova is a distinguished faculty member at the Department of Ecology and Nature Management within the School of Ecology and Geography at Siberian Federal University (SFU). Holding a Doctor of Agricultural Sciences and Candidate of Biological Sciences degrees, she has dedicated her career to advancing ecological research and education in Siberia. Her educational background includes a degree in Biology from Krasnoyarsk State University (1978). Professor Tarasova has continuously developed her pedagogical expertise through numerous advanced training programs at SFU's Faculty of Professional Retraining and Professional Development (FPPKP), focusing on e-learning technologies, educational design, and student competency models. Professor Tarasova's research spans Forest Entomology , Urban Ecology , and Population Dynamics , with particular emphasis on insect population cycles in Siberian forests and urban ecosystem management. Her work integrates ecological principles with mathematical modeling approaches, including phase transition theory and fractal analysis, creating innovative frameworks for understanding forest pest outbreaks and ecosystem resilience. Her research trends demonstrate a consistent focus on interdisciplinary approaches, combining entomology with theoretical physics concepts to model ecological phenomena. Recent publications reveal increasing integration of remote sensing technologies and advanced mathematical modeling to predict and analyze forest insect outbreaks under changing climate conditions. Winner of the National Ecological Award competition (2009) Certificate of Honor from the Ministry of Education and Science of the Russian Federation Expert in the federal register of scientific and technical experts Member of the Russian Economic Society As an educator, Professor Tarasova has supervised numerous academic projects and served as Head of the Master's program in General Ecology. She has developed significant educational publications including textbooks on urban ecosystems and forest entomology. Her laboratory work focuses on analyzing forest insect population dynamics, with particular attention to Siberian pine forests and urban green spaces. Current research directions include applying phase transition models to ecological phenomena and developing predictive frameworks for forest pest management in the context of climate change.

• Forest Entomology
• Urban Ecology
• Population Dynamics
• +۳ مورد دیگر

Dr. Marina Mikhailovna Senotrusova is an Associate Professor at the Department of Hunting Resources and Nature Reserves within the School of Ecology and Geography at Siberian Federal University . With 19 years of professional experience, she specializes in small mammal ecology, focusing on community organization, population dynamics, and ectoparasite relationships in steppe landscapes of Khakassia. Scientific directions: Ecology of small rodents, habitat confinement, and ectoparasite-host interactions Teaching interests: Ecology, Taxonomy of Siberian animals, Environmental risk assessment Research trends across her 15 most recent publications show consistent focus on: Steppe and forest shelterbelt ecosystems Population monitoring of game species Biotechnical habitat management Biodiversity conservation in anthropogenic landscapes Scientific achievements include: 2007 Prize for Fundamental Science Development, SibFU Membership in Central Siberian Theriological Society Her educational background includes: Bachelor's in Ecology and Nature Management (2001) Specialist in Ecology (2002) - Krasnoyarsk State University She has completed advanced training in: University teaching competencies (2012) Electronic education resources (multiple programs 2015) Competency-based student work organization (2014)

• Ecology of small rodents
• Community organization
• Population dynamics
• +۴ مورد دیگر

Kseniya Adamovich is a Senior Lecturer and Senior Research Fellow at the Institute of Education, HSE University. She holds a Candidate of Sciences (PhD, 2023) and a Master’s in Public Administration (2017), both from HSE University. Her work focuses on educational inequality, digital learning, and school infrastructure, with a regional emphasis across Russia. Research Interests: Educational inequality and spatial econometrics Digital learning and EdTech adoption Policy evaluation in post-Soviet education Time management in adult education Recent Publications examine digital gaps in Russian schools, peer editing behaviors in language learning, and the effects of school consolidation policies. Her work frequently employs multilevel and spatial econometric analyses. Scientific Recognition: Winner, HSE University Best Russian Research Paper Competition (2024) She has presented at ECER, CIES, and EDULEARN conferences, and received grants like the Evidence-Based Policy 2020 award. Her teaching includes Data Analysis in Education, EdTech practices, and machine learning applications in pedagogical research.

• Educational Inequality
• Digital Learning
• EdTech
• +۳ 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.

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