جستجوی استاد راهنمای دانشگاهی

Alexey Evgenievich Osadchiy is a Professor at the National Research University Higher School of Economics (HSE University), where he serves as Director of the Center for Bioelectric Interfaces at the Institute of Cognitive Neuroscience. He has been working at HSE since 2013 with 21 years of scientific and teaching experience. His academic appointments include Professor at the Faculty of Computer Science in the Department of Data Analysis and Artificial Intelligence. 2023 - Doctor of Science: National Research University Higher School of Economics 2003 - PhD: University of Southern California, specialty "Physical and Mathematical Sciences" and "Neurobiology" 1997 - Specialty: Bauman Moscow State Technical University, major in Autonomous Information and Control Systems Professor Osadchiy's research focuses on digital signal processing, magnetoencephalography (MEG), electroencephalography, inverse problems, synchronization, non-invasive detection, and brain mapping. His work bridges neuroscience, computer science, and medical applications, with particular emphasis on brain-computer interfaces, neurofeedback systems, and precision medicine applications for neurological disorders. He has pioneered methods for real-time brain activity monitoring and developed novel approaches for functional connectivity estimation in neural networks. His recent publications demonstrate a strong trend toward developing hardware-enabled low-latency systems for brain-state dependent stimulation, improving MEG technology with optically pumped magnetometers, and advancing speech mapping techniques for neurosurgical applications. His work increasingly integrates AI and deep learning approaches with traditional neuroimaging techniques to create more precise and accessible brain measurement and modulation systems. Scientific Awards and Recognition HSE University "Recognition - 10 Years of Successful Work" Medal (July 2025) Letter of Gratitude from the Higher School of Economics (September 2021) Letter of Gratitude from the Faculty of Computer Science at HSE (August 2018) Allowance for defending a doctoral dissertation (2023–2026) Bonuses for publications in international peer-reviewed journals (2015–2029) Professor Osadchiy has successfully advised numerous graduate students and doctoral candidates, with eight dissertation research projects currently under his supervision. His research has been supported by significant grants including a Russian Ministry of Education and Science contract for "System for registration and decoding of human brain bioelectric activity" (2014-2017), RFBR grants for "New non-invasive experimental-mathematical paradigm for preoperative magnetoencephalographic mapping of speech cortex" (14-02-00917, 16-04-01863), and projects on "Endogenous enhancement of brain-computer interface efficiency." As Director of the Center for Bioelectric Interfaces at the Institute of Cognitive Neuroscience, Professor Osadchiy leads a multidisciplinary team working on cutting-edge neurotechnology. His center collaborates with the Federal Brain and Neural Technology Centre at the Federal Medical and Biological Agency, where they established the Laboratory of Medical Neural Interfaces and Artificial Intelligence for Clinical Applications. The center is actively involved in developing brain-computer interfaces for rehabilitation, particularly for stroke patients and those with locomotor function disorders, and has created Russia's first neurointerface for controlling exoskeletons using imagined lower limb movements.

• digital signal processing
• magnetoencephalography
• electroencephalography
• +۹ مورد دیگر

Dmitry Alexandrovich Veselov serves as Deputy Dean for Research at the Faculty of Economic Sciences of the National Research University Higher School of Economics (HSE), where he also holds the position of Associate Professor in the Department of Theoretical Economics. Additionally, he is a Senior Research Fellow at the International Laboratory of Macroeconomic Analysis. He began his career at HSE in 2008 and has accumulated 17 years of scientific and teaching experience. His educational background includes a PhD from University Paris 1 Pantheon-Sorbonne (2014) in Natural Sciences with a dissertation on "Private Interests, Endogenous Institutions and Schumpeterian Growth," a Candidate of Economic Sciences degree (2012) from HSE on "Transition from stagnation to development in the theory of economic growth with human capital," and multiple degrees from HSE including Master's (2008) and Bachelor's (2006) in Economics. He has participated in numerous scientific internships at prestigious institutions including Brown University, Free University of Berlin, and Warwick University. Veselov's research focuses primarily on the theory of economic growth, political economy of development, and macroeconomics. His work examines institutional changes, social mobility, wealth distribution, and the dynamics of economic transitions from stagnation to growth. He has made significant contributions to understanding how political institutions interact with economic development processes, particularly in transition economies and resource-rich countries. His approach combines theoretical modeling with empirical analysis, often examining historical patterns of economic development across different institutional settings. His publication record shows consistent output across multiple high-impact journals and working paper series, with a clear trajectory from theoretical growth models toward more applied research on institutional change and development. Recent work has increasingly focused on welfare convergence in transition economies, the political economy of industrialization, and social mobility dynamics. His research demonstrates strong interdisciplinary connections between economics, political science, and sociology. Medal "Recognition - 15 years of successful work" HSE (December 2023) Appreciation from Faculty of Economic Sciences HSE (January 2023) Letter of thanks from Rector of HSE (March 2021) Best teacher award - 2024, 2017, 2015, 2011 Category "Future Professors" (2015-2016) Veselov actively mentors PhD students and serves as Deputy Editor-in-Chief of the "Journal of the New Economic Association" since 2017. His teaching portfolio includes advanced courses on macroeconomics and the historical origins of economic growth, reflecting his research expertise. He has participated in numerous international conferences and research projects examining economic growth, institutional change, and development patterns across different economic systems. His work demonstrates strong connections between theoretical economic modeling and empirical analysis of real-world economic phenomena. As a Senior Research Fellow at the International Laboratory of Macroeconomic Analysis, Veselov contributes to collaborative research projects examining long-term economic development patterns, particularly focusing on institutional factors that influence economic growth trajectories. His work connects with broader research initiatives at HSE that investigate the interplay between political institutions, economic policy, and development outcomes.

• Theory of economic growth
• Political economy of development
• Macroeconomics
• +۳ مورد دیگر

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

Evgeny Aleksandrovich Vaganov is a distinguished academic serving as the scientific director of Siberian Federal University (SFU) and a member of both the Academic Council of SFU and the Scientific and Technical Council. As an Academician of the Russian Academy of Sciences, he holds one of the highest scholarly honors in Russia. His primary research address is at Akademgorodok, 50A, building 2, office 511 in Krasnoyarsk. Dr. Vaganov earned his education at Krasnoyarsk State University, specializing in Biophysics in 1971. His academic journey has led him to become a leading expert in dendrochronology and environmental science. Vaganov's research focuses on the analysis of tree rings as indicators of climate change and environmental conditions, with significant contributions to ecological modeling. His work bridges the gap between traditional dendrochronology and modern climate science, developing innovative methods to extract climate signals from wood anatomy. He has pioneered approaches in quantitative wood anatomy and developed models like VS-Cambium-Developer to understand cambium functioning under environmental stress. His extensive publication record demonstrates a clear progression from traditional tree-ring width analysis to more sophisticated dendroanatomical and dendrochemical approaches. Recent work emphasizes high-resolution analysis of wood cells, soil carbon dynamics, and the development of process-based models that connect daily meteorological conditions with tree growth patterns. His research spans multiple Siberian ecosystems, from the Western Sayan Mountains to Central Siberian forests. Diploma "Golden Badge of Public Recognition" (Russia) Laureate of the Alexander von Humboldt Foundation Prize (Germany) Laureate of the V. N. Sukachev Prize of the Presidium of the Russian Academy of Sciences Honorary badge "Silver Sigma" for many years of creative work Medal of the Order "For Merit to the Fatherland", 2nd degree Order of Friendship Honorary citizen of Krasnoyarsk As scientific director of SFU, Vaganov oversees significant research initiatives, particularly those related to forest-climate interactions and carbon cycling. His work on Russian forests' contribution to climate change mitigation has informed national policy discussions related to the Paris Climate Agreement. He has led major projects examining the carbon budget of Siberian forests and the role of Russian forests in global carbon cycling. Vaganov's research group operates within Siberian Federal University's extensive research infrastructure, conducting field studies across Siberia's diverse forest ecosystems. His team utilizes advanced laboratory techniques for wood anatomy analysis and maintains long-term ecological monitoring sites throughout the region. Current work focuses on developing high-resolution climate proxies from wood anatomy and understanding forest responses to increasing climate variability.

• Dendrochronology
• Climate Change Research
• Tree Ring Analysis
• +۴ 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

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

Ilya Borisovich Voskoboinikov is an Associate Professor at the National Research University Higher School of Economics (HSE), Faculty of Economic Sciences, Department of Applied Economics. He also serves as Director of the Expert Institute and Director of the Center for Productivity Research. With over 31 years of scientific and teaching experience, he has been working at HSE since 1999 and has established himself as a prominent researcher in economic growth, development economics, and economic history. Dr. Voskoboinikov earned his PhD from the University of Groningen in 2014 with a dissertation on 'Economic growth of the Russian economy in comparative perspective.' He holds a Master's degree in Economics from the State University - Higher School of Economics (1999) and a degree in Applied Mathematics from the Moscow Institute of Physics and Technology (1997), where he qualified as an Engineer-physicist. His research examines long-term economic development patterns with particular expertise in productivity analysis, structural economic changes, and historical economic statistics. Recent work focuses on the impact of sanctions on economic growth, both in contemporary Russia and historically in the Soviet Union. His publications demonstrate a consistent pattern of examining economic growth through comparative and historical lenses, often bridging methodological approaches from economics and history. Medal 'Recognition - 20 years of successful work' from HSE (2020) Best Poster Award at the International Association for Research in Income and Wealth (2012) Multiple Honorary Diplomas from HSE Recognized as 'Best Teacher - 2025' by HSE Recipient of multiple research publication bonuses Dr. Voskoboinikov leads the 'Russia KLEMS' research group focused on productivity, growth, and intersectoral interactions. He serves on the editorial board of the 'International Productivity Monitor' journal and participates in the Scientific Coordination Council of the Russian Academy of Sciences. His work bridges academic research with practical policy applications, particularly in understanding economic recovery patterns and responses to external economic shocks.

• economic growth
• development economics
• economic history
• +۵ مورد دیگر

Professor Evgeniya Viktorovna Serova is a distinguished academic at the National Research University Higher School of Economics (HSE), where she serves as Professor at the Faculty of Economic Sciences, Department of Applied Economics. She is also the Academic Director of the Agricultural Economy educational program and Director of Agricultural Policy at HSE, heading the Institute of Agricultural Research. With a career spanning over four decades, Professor Serova has made significant contributions to agricultural economics and policy both in Russia and internationally. Education: 1993: Doctor of Economics 1984: Candidate of Economic Sciences 1979: Lomonosov Moscow State University, specialty 'Economic Cybernetics', qualification 'Economist-Mathematician' Professor Serova's research focuses on agricultural economy, agri-food policy, agricultural cooperation, land relations, and agrarian reform of Russia. Her work bridges theoretical economic analysis with practical policy applications, particularly in the context of Russia's transition economy and its integration into global agricultural markets. She has pioneered research on sustainable agricultural development, rural employment, and food security issues. Her recent publications demonstrate a strong focus on sustainable agriculture, fertilizer management, food price dynamics in Central Asia, and the challenges facing Russian agriculture in the global context. These works reflect her commitment to addressing contemporary agricultural challenges through evidence-based policy analysis. Awards and Recognition: Gratitude from HSE (March 2024) HSE University Honorary Diploma (February 2023) Gratitude from the Ministry of Agriculture of the Russian Federation (April 2020) Medal 'Veteran of Labor' (April 2007) Best Academic Supervisor award (2023) Professor Serova has supervised numerous doctoral students and actively mentors young researchers through the Institute of Agricultural Research. Her extensive international experience includes significant roles at the UN Food and Agriculture Organization, where she served as director of the rural infrastructure and agribusiness department, and as head of the FAO Office for liaison with the Russian Federation from 2016-2018. She plays a prominent role in academic governance as a member of editorial boards for prestigious journals including 'Studies in Agricultural Economics' and 'Issues of Economics,' contributing to the advancement of agricultural economics scholarship globally.

• Agricultural economy
• Agri-food policy
• Agricultural cooperation
• +۵ مورد دیگر

Ekaterina Dmitrievna Slobodenyuk serves as an Associate Professor at the Department of Applied Economics, Faculty of Economic Sciences, and as a Senior Research Fellow at the Center for Stratification Studies, Institute of Social Policy, at the National Research University Higher School of Economics (HSE). She has been with HSE since 2012, accumulating 14 years of scientific and teaching experience. Dr. Slobodenyuk earned her Candidate of Sociological Sciences degree in 2014 from HSE with a dissertation on 'The Poor in Modern Russia: Group Structure and Social Dynamics.' Her educational background includes a Master's degree (2011) and Bachelor's degree (2009) in Sociology from HSE. She has also completed specialized training through the World Bank, Essex Summer School in Social Science Data Analysis, and various workshops on social policy and research methodologies. Her research focuses on poverty, social stratification, the lower class, and social policy , with particular attention to income inequality, social mobility, and human capital development in Russian society. Dr. Slobodenyuk has made significant contributions to understanding the dynamics of poverty among Russian professionals, the relationship between subjective and objective poverty measures, and the impact of economic crises on social stratification. Her work employs both quantitative and qualitative methodologies to analyze complex social phenomena. The analysis of her most recent publications reveals a consistent focus on social stratification in Russia, with particular emphasis on professional poverty, wealth inequality, and social mobility patterns. Her research demonstrates how economic instability affects different social groups and how perceptions of inequality influence human capital investments. Dr. Slobodenyuk's work bridges theoretical sociology with practical policy implications, contributing to evidence-based social policy development in Russia. Among her notable achievements are the 'Recognition - 10 years of successful work' medal from HSE, multiple publication allowances for research in prestigious journals, and recognition as a winner of the competition for the best Russian-language scientific works. She has also been included in HSE's high professional potential group and the 'Future Professors' category, reflecting her significant contributions to academic life. Dr. Slobodenyuk has secured funding for numerous research projects, including grants from the Russian Science Foundation (RSF) and the Russian Foundation for Basic Research (RFBR). Her collaborative work with leading sociologists like Svetlana Mareeva has resulted in influential publications and monographs that have shaped contemporary understanding of Russian social structure. She actively supervises research projects and participates in major academic conferences both in Russia and internationally. She leads and participates in several research teams at HSE, particularly within the Center for Stratification Studies at the Institute of Social Policy. Her work connects with broader research initiatives examining social cohesion, economic inequality, and human capital development in post-Soviet societies. Dr. Slobodenyuk's research contributes to interdisciplinary efforts to understand how social structures evolve during periods of economic and political transformation.

• Poverty
• Social Stratification
• Social Policy
• +۳ مورد دیگر

Natalia Evgenievna Tikhonova is a Research Professor at the Department of Applied Economics, Faculty of Economic Sciences, National Research University Higher School of Economics (HSE). With over 50 years of academic experience since 1974, she has made significant contributions to sociology, particularly in social stratification, socio-economic consequences of reforms, and cultural dynamics of Russian society. She also serves as a leading researcher at the Institute of Sociology of the Russian Academy of Sciences. 2011: Academic title of Professor 2000: Doctor of Sociological Sciences from Institute of Sociology of the Russian Academy of Sciences (specialty 22.00.04 "Social structure, social institutions and social processes") 1981: Candidate of Philosophical Sciences from Lomonosov Moscow State University 1975: Specialty in "Philosophy" from Lomonosov Moscow State University Professor Tikhonova's research focuses on social stratification of Russian society, socio-economic consequences of reforms for various population groups (youth, women, the poor, the unemployed, middle class), reforming social policy, cultural dynamics, and social modernization of Russia. Her work examines how economic transformations impact social structure and how different social groups adapt to changing conditions. She has led numerous large-scale research projects funded by international and domestic scientific funds including INTAS, USAID/REX, MacArthur Foundation, Russian Foundation for Humanities, and Russian Foundation for Basic Research. Her recent publications demonstrate a consistent focus on understanding Russian society through the lens of social stratification, human capital, and professional groups. She has pioneered research on Russian professionals, examining their definition, human capital quality, social position, and economic vulnerability. Her work shows how economic crises and geopolitical shifts have reshaped Russian society, with particular attention to the middle class, poverty dynamics, and identity formation in contemporary Russia. Medal "Recognition - 15 years of successful work" of HSE (March 2024) Winner of the Competition for the Best Russian-Language Scientific Works by HSE Employees (2024) Honorary Diploma of HSE (December 2018, October 2013) Honorary Diploma of the Russian Academy of Sciences (October 2008) Multiple academic work allowances (2005-2018) Bonuses for publications in List B journals (2023-2025) Professor Tikhonova has supervised nine doctoral dissertations and numerous master's theses. She has led major research projects including "Rich and Poor in Modern Russia" (2003), "Social Reforms: Expectation and Reality" (2006), "Russian Everyday Life in Sociological Measurement" (2009), "Is Russian Society Ready for Modernization?" (2010), and "Twenty Years of Reforms in the Eyes of Russians" (2011). As director of the Stratification Research Center at the Institute of Social Policy, she has secured funding from prestigious national and international sources including the Russian Science Foundation. She is a member of editorial boards of journals "Sociological Science and Social Practice" (since 2013) and "Public Sciences and Modernity" (since 2011). Her research team at HSE has produced influential collective monographs including "Society of Unequal Opportunities: Social Structure of Modern Russia" (2022), which was shortlisted for the Grushin Book Sociological Prize.

• Social stratification of Russian society
• Socio-economic consequences of reforms
• Reforming social policy
• +۷ مورد دیگر

Orlov Igor Borisovich is a distinguished Professor and Deputy Head of the Department of Politics and Management at the Faculty of Social Sciences, National Research University Higher School of Economics (HSE). He also serves as Head of the Scientific and Educational Laboratory for Research in the Field of Business Communications and as Professor in the Department of Theory and Practice of Interaction between Business and Government at HSE University. With over 33 years of academic experience and working at HSE since 2002, Professor Orlov has established himself as a leading scholar in Russian political history and Soviet studies. Professor Orlov received his education at Kharkiv State University named after A.M. Gorky, where he graduated with honors in 1990 with a specialty in "History" and qualification as "Historian. Teacher of history and social science." He earned his Doctor of Historical Sciences degree in 2000 and was awarded the academic title of Professor in 2002. His professional development includes numerous advanced training certificates from HSE and other institutions, focusing on electronic library resources, Russian statehood methodology, and public communications. Professor Orlov's research focuses primarily on Russian political history, particularly the history of Russia in modern times (since the 20th century), historiography and source studies of Russian history, and methodology of historical research. His scholarly work explores the continuity between imperial, Soviet, and post-Soviet Russian statehood, Soviet everyday life, and the history of tourism in the USSR as a form of cultural diplomacy. His recent publications demonstrate a growing interest in the institutionalization of political concepts and the historical foundations of contemporary Russian political culture. Analysis of Professor Orlov's most recent publications reveals a consistent scholarly trajectory centered on Russian historical and political development. His work bridges historical analysis with contemporary political science, particularly examining how historical legacies shape current Russian political institutions and culture. A significant portion of his research focuses on Soviet international relations through the lens of tourism and cultural exchanges, revealing how seemingly mundane activities served as important channels for political communication and diplomacy during the Cold War era. Honorary certificate of the President of the Russian Federation (June 2025) Honorary certificate of the Faculty of Social Sciences of HSE University (April 2024) Multiple thank-you letters from HSE rectors and vice-rectors (2021-2020) Medal "Recognition - 15 years of successful work" of HSE University (June 2019) Honorary certificate of the Ministry of Education and Science of the Russian Federation (August 2017) Best teacher awards (2022, 2015-2016, 2011-2013) Winner of the competition of the best Russian-language scientific works of HSE employees (2021) Professor Orlov has been actively involved in mentoring students, supervising diploma theses at HSE University across multiple departments. He has served on numerous editorial boards of academic journals including as editor-in-chief of "Business. Society. Power" since 2017. His teaching portfolio is extensive, covering courses such as History of Russia, History of Russia in Modern Times, and Fundamentals of Russian Statehood across various HSE campuses and departments, demonstrating his commitment to interdisciplinary education and broad academic engagement. As Head of the Scientific and Educational Laboratory for Research in the Field of Business Communications, Professor Orlov leads a research team focused on the intersection of business, government, and society. His laboratory serves as a hub for collaborative research projects examining historical and contemporary aspects of Russian state-business relations, with particular attention to communication patterns and institutional frameworks that shape these interactions.

• History of Russia in modern times
• Historiography and source studies of Russian history
• Methodology of historical research
• +۵ 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

Oleg Stanislavovich P'yanykh is a Professor in the Department of Data Analysis and Artificial Intelligence at the Faculty of Computer Science, National Research University Higher School of Economics (HSE) in Moscow. He has been working at HSE since 2012 with 13 years of scientific and teaching experience. P'yanykh maintains active roles as a Guest Editor for both the American Journal of Roentgenology (since 2011) and Pattern Recognition (since 2010), and serves as a permanent member of the International DICOM Committee working group. His educational background includes a PhD in Computer Science from Louisiana State University (1998), an MS with honors in Applied Mathematics and Physics from Moscow State University (1994), and a Diplôme d'Etudes et de Recherches in Philosophy from French University College, Moscow State University and Sorbonne University (1994). P'yanykh's research spans medical informatics, image analysis and processing, medical information systems and standards (particularly DICOM and PACS), computer-aided diagnostics, teleradiology, machine learning, and control theory. His work bridges computer science with practical medical applications, focusing on improving medical imaging systems and data analysis. His publication record shows consistent contributions from 1997 through 2024, with recent work emphasizing scheduling algorithms, machine learning interpretability, human knowledge modeling, and medical image quality assessment. His research demonstrates a clear trajectory from foundational signal processing work to increasingly applied medical informatics solutions. Bonus for publication in an international peer-reviewed scientific journal (2019-2021) Bonus for publication in an international peer-reviewed scientific journal (2017-2018) Bonus for an article in a foreign peer-reviewed journal (2013-2015) P'yanykh has supervised student research including Viktor Sergeevich Lopatin's bachelor's thesis on 3D medical image processing and Ksenia Dmitrievna Loginova's master's thesis on medical image quality assessment. He has taught courses including Big Data and Machine Learning in Healthcare across multiple academic years (2020-2026) and Medical Informatics (2020-2022), reflecting his focus on applying computational methods to healthcare challenges.

• medical informatics
• image analysis and processing
• medical information systems
• +۶ 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