Find Academic Supervisors

• Industrial Organization
• Competition Policy
• Antitrust Economics
• +4 more

Yusupova Guzel Fatehovna is an Associate Professor at the Department of Applied Economics within the Faculty of Economic Sciences at the National Research University Higher School of Economics (HSE), where she has been working since 1998 with 28 years of scientific and teaching experience. She also serves as a Senior Research Fellow at the Institute for Enterprise and Market Analysis, specifically in the Laboratory of Competition and Antimonopoly Policy. Her research interests focus on Industrial Organization, Competition Policy, Antitrust Economics, Digital Markets, Market Analysis, and Economics of Network Effects, with particular attention to Russian industrial markets. Her professional expertise stems from her Candidate of Economic Sciences degree (2007) in Economics and Management of the National Economy, with a dissertation on "Boundaries of Russian markets and competition," and her Associate Professor title awarded in 2013. Dr. Yusupova's publication record shows a consistent focus on competition policy and market analysis, with her most recent work examining AI applications in cartel detection, digital platform competition, and the nuances of antitrust enforcement in specialized markets. Her research demonstrates progression from foundational industrial organization topics to increasingly complex digital market challenges. Honorary certificate of the Ministry of Science and Higher Education of the Russian Federation (November 2022) Gratitude of HSE (March 2022) Gratitude of the Faculty of Economic Sciences HSE (January 2021) Winner of the Competition for the best Russian-language scientific works of HSE employees - 2021 Multiple academic bonuses for publications and contributions to HSE reputation (2010-2024) As an educator, Dr. Yusupova teaches graduate and undergraduate courses including Analysis of Industry Markets and Competition Policy, Introduction to the Economy of Digital Platforms, and Theory of Industrial Markets. Her teaching reflects her research expertise, bridging theoretical industrial organization concepts with practical antitrust applications. She has participated in numerous international conferences and research projects focused on competition policy effectiveness, with particular emphasis on Russian market contexts and transition economy challenges.

• Fiscal Policy
• Monetary Policy
• Optimal Macroeconomic Policy
• +1 more

Sergey Anatolyevich Merzlyakov is an Associate Professor at the Department of Theoretical Economics , Faculty of Economic Sciences , National Research University Higher School of Economics (HSE) . He has been affiliated with HSE since 2006 and holds leadership roles as First Deputy Dean and Deputy Head of the International Laboratory of Macroeconomic Analysis . PhD in Economics (2010, HSE) Master's in Economics (2007, HSE) Bachelor's in Economics (2005, HSE) His research focuses on fiscal and monetary policy interaction in export-oriented economies , including central bank-government dynamics , optimal macroeconomic policy , and liquidity trap solutions . He has published extensively on monetary policy communication , cross-border policy transmission , and regional debt interdependencies . Recent studies emphasize anchored inflation expectations , hybrid inflation targeting , and verbal interventions by central banks. His work appears in journals like Panoeconomicus , Russian Journal of Economics , and Journal of Central Banking Theory and Practice . Awarded HSE Honorary Diplomas (2022), Medal 'Recognition - 10 Years of Successful Work' (2024), and Best Teacher (2017–2018). Supervised K. Anikeev 's dissertation on banking system heterogeneity. He coordinates network educational programs and inter-university research collaborations , including joint double-degree programs with Far Eastern Federal University and other regional institutions. His roles include faculty development, organizational restructuring, and academic partnership management.

Malichenko Vladislav SergeevichView profile

Associate Professor

• international law
• international human rights law
• international health law
• +5 more

Malichenko Vladislav Sergeevich serves as an Associate Professor at the Faculty of Law, Department of Digital and Biolaw at the National Research University Higher School of Economics (HSE) in Moscow, where he began working in 2023. With a unique dual background in law and medicine, he brings distinctive interdisciplinary expertise to his academic position. His educational foundation includes: Candidate of Law (2015) Jurisprudence degree from Peoples' Friendship University of Russia (2012) General Medicine degree from First Moscow State Medical University named after I.M. Sechenov (2012) Global Health Diplomacy training from The Graduate Institute (Geneva, 2014) Advanced training in GR management from RANEPA (2017) INSEAD Business Excellence Executive Program (2022) Dr. Malichenko's research focuses on the critical intersection of legal frameworks and healthcare systems. His primary areas of scholarly interest include international law, international human rights law, international health law, and global security. His publications demonstrate a consistent focus on how legal structures can address emerging challenges in healthcare, particularly regarding bioethics, medical technology regulation, and healthcare access during emergencies. Recent work has increasingly emphasized the legal implications of artificial intelligence in medicine, information security in pharmaceutical systems, and the impact of geopolitical factors on healthcare technology access. His scholarly output reveals a progression from foundational work on international health law to highly specialized studies addressing contemporary challenges in healthcare regulation. A significant portion of his recent publications examines the balance between public health needs and individual rights during crises, reflecting global concerns raised by recent pandemics and geopolitical tensions. Dr. Malichenko actively contributes to academic discourse through his teaching of courses on 'Legal regulation of healthcare and pharmaceutical activities' and 'Mentor Seminar on Law of the Pharmaceutical Biotech Industry' for Master's students in Jurisprudence. His research activities include significant projects on the organizational and legal aspects of implementing AI and digital technologies in medical care systems, as evidenced by his participation in May 2024 events and publications examining AI applications in healthcare.

• Analysis and transformation of programs
• Software Security
• Parallel and distributed computing technologies

Harutyun Ishkhanovich Avetisyan is a Professor and Head of the Basic Department "System Programming" at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE). He began his tenure at HSE in 2017 and brings 30 years of scientific and teaching experience to his role. Additionally, he serves as the Director of the Institute for System Programming of the Russian Academy of Sciences (ISP RAS), a position he has held since 2015. Avetisyan holds numerous prestigious academic distinctions, including being elected as an Academician of the Russian Academy of Sciences in 2019 and as a Corresponding Member in 2016. He earned his Doctor of Physical and Mathematical Sciences degree in 2012 and was awarded the academic title of Associate Professor in 2009. His educational background includes a specialty in "Applied Mathematics" from Yerevan State University (1993). His research focuses on three main areas: analysis and transformation of programs, software security, and parallel and distributed computing technologies. These interests are reflected in his extensive publication record and leadership in major research initiatives. His work bridges theoretical computer science with practical applications in cloud computing, secure data storage, and high-performance computing systems. Avetisyan's scholarly contributions demonstrate a consistent focus on system programming challenges, particularly in the areas of code analysis, optimization, and security. His recent publications indicate a growing interest in cloud computing paradigms, smart city infrastructure, and energy-efficient computing solutions. His research has significant implications for both academic theory and industrial applications in software development. Among his notable recognitions, Avetisyan was awarded the medal of the Order "For Merit to the Fatherland" 2nd degree in 2021 for his significant contributions to science and dedicated service. He also serves on the editorial boards of several prestigious journals including "Programming" (since 2015) and "Proceedings of the Institute for System Programming of the RAS" (since 2010). Throughout his career, Avetisyan has led and participated in numerous research grants funded by the Ministry of Education and the Russian Foundation for Basic Research. His professional trajectory shows steady progression from postgraduate studies (1997-2000) to research fellow (2000-2002), deputy director of ISP RAS (2002-2015), and ultimately director of the institute (2015-present). At HSE, Avetisyan teaches courses in parallel programming and mentor seminars for master's students in Software Engineering. His teaching philosophy emphasizes the integration of cutting-edge research with practical software development skills, preparing students for careers at the forefront of computer science.

Roshchin Sergey YuryevichView profile

Associate Professor

• Labor Economics
• Personnel Economics
• Population Economics
• +5 more

Sergey Yuryevich Roshchin serves as Vice-Rector of the National Research University Higher School of Economics (HSE) and Head of the Laboratory of Labor Market Research within the Faculty of Economic Sciences. He holds the academic rank of Associate Professor in the Department of Applied Economics and is a member of HSE's Academic Council. With 34 years of scientific and teaching experience, he has been working at HSE since 2004. His academic background includes a Candidate of Economic Sciences degree (1995) from Moscow State University in Labor Economics and a Specialist degree in Economic Cybernetics (1985). Roshchin's research focuses on labor economics, personnel economics, and population economics, with particular attention to gender wage gaps, non-cognitive skills, and the relationship between education and labor market outcomes in Russia. His professional journey began at Moscow State University, where he served in various academic roles before joining HSE, where he previously headed the Department of Labor Economics and Population (2005-2015). Analysis of Roshchin's recent publications reveals a consistent focus on Russian labor market dynamics, particularly examining how educational choices translate into career outcomes. His work frequently investigates gender disparities in wages, the impact of non-cognitive skills on economic behavior, and the evolving relationship between higher education institutions and the labor market. His research methodology often combines econometric analysis with large-scale survey data, contributing significantly to policy discussions in Russia. Medal "For contribution to the development of university" HSE (June 2023) Order of Honor (February 2022) Gratitude of the Government of the Russian Federation (September 2017) Honorary sign of the 1st degree of the Higher School of Economics (March 2018) Best Teacher awards (2018, 2013, 2011) Multiple academic publication bonuses (2021-2025) As Vice-Rector, Roshchin oversees educational programs, accreditation processes, and e-learning initiatives at HSE. He has supervised numerous PhD students, many of whom have gone on to contribute to labor market research in Russia. His leadership extends to coordinating partnerships between HSE and leading Russian universities in economics and management fields. He also plays a key role in organizing major academic events, including conferences on labor market research and participation in the university's strategic development initiatives. Roshchin leads the Laboratory of Labor Market Research, which conducts extensive empirical work on Russian labor market dynamics. The laboratory's research informs both academic discourse and policy decisions, with regular publications in leading journals and presentations at major conferences. Under his guidance, the laboratory has become a significant center for labor economics research in Russia, collaborating with both domestic and international institutions.

• Accounting
• Financial Reporting
• Auditing
• +4 more

Maria A. Shtefan is an Associate Professor and Department Head of the Department of Accounting, Analysis and Audit at the Faculty of Economics, Higher School of Economics (HSE University) campus in Nizhny Novgorod. She has been with HSE University since 2002 and serves as a Programme Scientific Supervisor for Finance and is a Member of the HSE Academic Council. Her administrative team includes deputies E. O. Suchkova, M. Gubochkina, and N. Chaprak, with A. Blyakhman serving as her supervisor. Dr. Shtefan holds a Candidate of Sciences (PhD equivalent) in Accounting and Statistics from the Russian State Agricultural Distance-Learning University (2008) and completed her undergraduate degree at Lobachevsky State University of Nizhny Novgorod (2002). She was awarded the title of Associate Professor in 2016. Her research focuses on critical areas of modern accounting and financial reporting, including Russian and international standards of accounting and financial reporting, Russian and international auditing standards, and the implementation of IFRS. She has published extensively on topics related to audit methodology, financial statement fraud detection, non-financial reporting, ESG factors, and the application of international accounting standards in Russian contexts. Her scholarly contributions demonstrate a consistent focus on bridging theoretical accounting frameworks with practical applications in the Russian business environment, particularly examining how international standards can be effectively implemented within domestic contexts. Her work often addresses specific challenges faced by Russian companies in areas such as railway transport accounting, financial statement preparation, and audit practices. Best Teacher Award (2021-2022, 2017-2019) Young Faculty Support Programme - Category 'Future Professoriate' (2010-2011) Member of the Editorial Council of 'International Accounting' journal (2014) Participant at International Journal of Arts & Sciences (IJAS) conference in London (2013) Dr. Shtefan actively supervises doctoral candidates, including Y. Zotova (researching ESG factors' impact on economic efficiency) and M. Goryacheva (studying materiality of financial and non-financial reporting information). She teaches multiple courses including Economic-management thinking, Fundamentals of External and Internal Audit, and International Financial Reporting Standards across Bachelor's and Master's programs. Her teaching spans various academic years, demonstrating her commitment to developing accounting and finance professionals with strong theoretical knowledge and practical skills.

• Systems Theory
• Mathematical Modeling
• Fuzzy Logic
• +7 more

Konstantin Yuryevich Degtyarev is an Associate Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE) in Moscow. He has been working at HSE since 2008 and has accumulated 29 years of scientific and teaching experience. His office is located at AUK "Pokrovsky Boulevard", Pokrovsky blvd, 11, office S919, where he holds consultations on Mondays, Thursdays, and Fridays during Module 1. 1995: Candidate of Technical Sciences from Moscow State University of Instrument Engineering and Computer Science, specialty 05.13.01 "System Analysis, Management and Information Processing" Postgraduate study at Moscow State University of Instrument Engineering and Computer Science (1986) Specialty: Moscow Institute of Electronic Engineering, Faculty of Applied Mathematics, specialty "Applied Mathematics", qualification "Engineer-mathematician" Professor Degtyarev's research focuses on systems theory and mathematical modeling, with particular emphasis on fuzzy logic and soft computing applications in systems analysis. His work explores cognitive approaches to structural analysis, verbal calculations, perceptions in systems analysis, F-geometry in modeling and decision making, interval calculations, Z-numbers (according to L.A. Zadeh), and fuzzy time series in forecasting. He also has significant expertise in programming in C/C++ and approaches to teaching programming courses. His research bridges theoretical foundations with practical applications in software engineering and decision support systems. Analysis of Professor Degtyarev's publication history reveals a consistent focus on fuzzy logic applications across multiple domains. His work demonstrates an evolutionary path from foundational theoretical work on polyhedral dynamics and Q-analysis to more applied research involving Z-numbers, fuzzy time series, and fuzzy logic applications in software engineering, e-commerce reputation systems, and metro positioning services. A notable trend is the increasing application of fuzzy methodologies to practical software engineering problems, particularly in the areas of linguistic summarization, decision support, and uncertainty modeling. Gratitude from HSE University (May 2024) Gratitude from the Department of Software Engineering, HSE (November 2023) Certificate of honor from the Faculty of Computer Science of HSE (September 2019) Gratitude from the First Vice-Rector of HSE (January 2018) Best Teacher award (2024, 2011-2020) Winner of the competition for the best article in the journal 'Proceedings of the ISP RAS' for 2019 Professor Degtyarev has supervised numerous bachelor's and master's theses, primarily focusing on fuzzy logic applications, Z-numbers, linguistic summarization, and decision support systems. His students have developed various software implementations related to fuzzy modeling, time series forecasting, and expert assessment aggregation. He has also contributed significantly to educational development, creating teaching materials for courses in programming, fuzzy systems, and applied system analysis. His involvement in curriculum development includes certified assessment materials for the discipline "Fundamentals of Informatics and Programming". As a member of IEEE (since 1999) and ACM (2005-2014), Professor Degtyarev participates in various professional activities including serving as a reviewer for prestigious journals such as "Fuzzy Sets and Systems" and "IEEE Transactions on Fuzzy Systems". He has also been involved in international conferences as a program committee member and section chair for several International Conferences on Soft Computing.

• Computer Vision
• Artificial Intelligence
• Pattern Recognition
• +6 more

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.

• Neuroinformatics
• Neural Networks
• Semantic Networks
• +6 more

Alexander Alexandrovich Kharlamov serves as a Professor at the National Research University Higher School of Economics (HSE), specifically within the Faculty of Computer Science and Department of Software Engineering. He joined HSE in 2015 and has accumulated 42 years of scientific and teaching experience. His academic profile includes prominent identifiers such as ORCID: 0000-0003-2942-5101, ResearcherID: E-3760-2014, and Scopus AuthorID: 57193909855. He maintains an office at the Pokrovsky Boulevard campus (AUK "Pokrovsky Boulevard", Pokrovsky blvd, 11, office S913) and serves as the Editor-in-chief of the journal "Speech Technologies" since 2008. Doctor of Technical Sciences (2010) from Moscow State Institute of Electronics and Mathematics Candidate of Technical Sciences (1983) from Moscow State Technical University named after N.E. Bauman Postgraduate study (1980) at Moscow State Technical University named after N.E. Bauman Mathematics degree (1976) from Lomonosov Moscow State University Thermal Physics degree (1970) from Moscow Power Engineering Institute Professor Kharlamov's research focuses primarily on neuroinformatics, with significant contributions to neural networks, semantic representations, and intelligent information systems. His work bridges computational approaches with cognitive modeling, exploring how semantic networks can be used for text analysis, speech recognition, and situation monitoring. His research interests span both theoretical foundations of neuroinformatics and practical applications in areas such as social media analysis, smart city development, and digital transformation. He has developed the TextAnalyst technology for automatic semantic analysis of text and has made significant contributions to understanding how humans process information through neural network models. His recent scholarly output demonstrates a clear trajectory toward multimodal systems, digital transformation in urban environments, and advanced semantic analysis techniques. The publications reveal a consistent focus on applying neuroinformatics principles to real-world problems, particularly in analyzing social dynamics through digital footprints, developing intelligent monitoring systems, and creating semantic frameworks for information processing. His work increasingly addresses contemporary challenges such as pandemic response, social stress analysis, and digital conflict zones, showing adaptability to emerging societal needs while maintaining theoretical rigor. Corresponding Member of the International Academy of Informatization (1994) Professor Kharlamov has secured significant research funding through grants from the Russian Foundation for Basic Research (No. 14-06-00363) and the Russian Humanitarian Science Foundation (No. 15-03-00860). His research leadership spans decades, with documented projects from 1996 to present, covering areas such as neural network modeling, speech recognition systems, semantic analysis technologies, and intelligent information systems. He has served as principal investigator for numerous projects, often collaborating with institutions like IITP RAS and Bauman Moscow State Technical University. His teaching portfolio includes advanced courses in neuroinformatics, neuromathematics, and neural network theory for both bachelor's and minor programs at HSE. As Editor-in-chief of the journal "Speech Technologies" since 2008, Professor Kharlamov has shaped discourse in his field while continuing his own research on semantic networks and neural modeling. His work on homogeneous semantic networks represents a significant contribution to the field, providing frameworks for text analysis, situation monitoring, and knowledge representation. The integration of his theoretical work on neural networks with practical applications in information systems demonstrates a career-long commitment to bridging theoretical computer science with real-world implementation challenges.

Shilov Valery VladimirovichView profile

Professor

• Parallel Computing
• Parallel Architectures
• History of Informatics
• +3 more

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.

• Formal Methods of Software Engineering
• Operating Systems Verification
• Critical Systems Development
• +5 more

Alexey Vladimirovich Khoroshilov is an Associate Professor at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE), affiliated with the Basic Department "System Programming" of the Institute for System Programming named after V.P. Ivannikov of the Russian Academy of Sciences (ISP RAS). He joined HSE in 2015, bringing 20 years of scientific and teaching experience to his position. His academic background includes a Candidate of Physical and Mathematical Sciences degree (2006) and a specialty in Applied Mathematics and Computer Science from Moscow State University named after M.V. Lomonosov (2001), with the qualification of Mathematician and Systems Programmer. His primary research interests focus on formal methods of software engineering, particularly in the verification and validation of critical systems. He specializes in methods for designing and developing critical systems, formal verification techniques, model-based testing, and requirements analysis. His work has significant applications in operating systems security, real-time systems, and safety-critical software development. His recent publications demonstrate a strong focus on operating system verification, with particular emphasis on abstract model-based runtime verification, security policy integration, and multi-level requirements compliance. His research often combines theoretical formal methods with practical applications in operating system security and verification. The recurring themes across his work include component-based verification approaches, thread-modular analysis techniques, and formal modeling of security policies. Khoroshilov maintains a strong connection with the Institute for System Programming of the Russian Academy of Sciences, where he has worked since 1999 and held the position of leading research fellow as of 2014. He also teaches at Moscow State University's Department of System Programming within the Faculty of Computational Mathematics and Cybernetics since 2009. His teaching focuses on operating system development, particularly courses on the design of operating system kernels for both bachelor's and master's programs. His technical expertise includes verification of operating system components, security policy implementation, and requirements management for critical systems. He has contributed to significant projects related to aviation real-time operating systems, formal security models, and Linux kernel verification.

Vinogradov Vadim AleksandrovichView profile

Professor

• constitutional law
• administrative law
• public law
• +5 more

Vinogradov Vadim Aleksandrovich is a prominent legal scholar serving as Dean of the Faculty of Law at the National Research University Higher School of Economics (HSE) since June 2020, while also heading the Department of Public Law. With a distinguished career spanning over 25 years since joining HSE in 1998, he has established himself as a leading expert in constitutional law, administrative law, and public law. His academic leadership extends to serving as Academic Director of the Public Law educational program and as a Member of the Academic Council of HSE University. 2008 - Academic title: Professor 2005 - Doctor of Law from Russian Academy of Public Administration under the President of the Russian Federation 2003 - Academic title: Associate Professor 2000 - Candidate of Law from Lomonosov Moscow State University 1997 - Specialty 'Jurisprudence', qualification 'Lawyer' from Lomonosov Moscow State University Professor Vinogradov's research focuses on constitutional law, administrative law, legislative process, digital law, and human rights. His scholarly work examines the intersection of traditional legal frameworks with emerging digital challenges, including constitutional liability in the digital age, AI regulation, and the legal aspects of deepfake technology. His recent publications demonstrate a sophisticated understanding of how constitutional principles must adapt to contemporary technological realities while maintaining core democratic values. His extensive publication record reveals a consistent scholarly trajectory from traditional constitutional law toward increasingly complex digital governance issues. The trend shows a remarkable evolution from foundational constitutional studies to cutting-edge research on digital sovereignty, AI regulation, and the legal challenges posed by new media technologies. His work bridges theoretical constitutional scholarship with practical legal application in rapidly evolving technological contexts. Honored Lawyer of the Russian Federation (March 2025) Anatoly Koni Medal (November 2023) HSE University Honorary Diploma (March 2023) Best Academic Supervisor awards in multiple categories (2023) Gratitude from the President of the Russian Federation (April 2017) As an academic supervisor, Professor Vinogradov has mentored numerous doctoral candidates whose research spans critical contemporary legal issues including digital transformation of education, constitutional limitations on rights for state security, political freedom, and digital sovereignty. His leadership extends to directing major research initiatives and serving on editorial boards of prominent legal journals such as 'Municipal Property: Economics, Law, Management' and 'International Public and Private Law.' His administrative roles include chairing significant working groups on regulatory reform and serving as a trusted advisor to governmental bodies on constitutional and legislative matters.

• Econometrics
• Macroeconometrics
• Microeconometrics
• +7 more

Grigory Gelmutovich Kantorovich is a distinguished Research Professor at the National Research University Higher School of Economics (HSE), where he has been working since 1993. He serves as Head of the Scientific and Educational Laboratory of Macrostructural Modeling of the Russian Economy within the Faculty of Economic Sciences. He holds a tenured professorship since 2018 and has been recognized as a Distinguished Professor by HSE. With 54 years of scientific and teaching experience, Kantorovich has made significant contributions to the field of econometrics and economic modeling. His educational background includes a Candidate of Physical and Mathematical Sciences degree (1974) from Moscow Institute of Physics and Technology, where he specialized in Automatic Regulation and Control Theory. He graduated with honors from the same institution in 1971 with a degree in Flight Dynamics and Motion Control of Aircraft. His extensive professional development includes numerous international programs at Erasmus University Rotterdam, University of Paris 1 - Sorbonne, Harvard University, and the London School of Economics. Kantorovich's research spans multiple areas of econometrics, including macroeconometrics, microeconometrics, financial econometrics, and time series modeling. His work focuses on dynamic modeling of economic development, macrostructural modeling of the economy, and econometric modeling of socio-economic processes. His publications demonstrate a consistent focus on applying rigorous statistical methods to economic problems, with particular attention to risk evaluation in financial markets, structural shifts in time series, and the impact of investments on economic efficiency. Throughout his career, Kantorovich has received numerous prestigious awards including the Medal of the Order "For Merits to the Fatherland" (both I and II degrees), multiple Honorary Certificates from HSE, and recognition as Best Teacher in multiple academic years. He was awarded the "Golden HSE" Award twice for his contributions to teaching and school development. As an academic advisor, Kantorovich has supervised doctoral research and mentored students including Lana Zakharova (on economic crises determinants), Nikolai Shugal (on gross value added modeling), and Elena Nazrullaeva (on capital investments impact). He has also participated in numerous international research projects, including a World Bank project on energy price impacts and grants from the MacArthur Foundation. He leads the Scientific and Educational Laboratory of Macrostructural Modeling of the Russian Economy, where he conducts research on economic modeling and advises on policy-related economic issues. His work bridges theoretical econometrics with practical applications in Russian economic policy and education.

• Agricultural economy
• Agri-food policy
• Agricultural cooperation
• +5 more

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.

Yamskikh Galina YuryevnaView profile

Professor

• palynology
• paleogeography
• paleoclimatology
• +6 more

Professor Galina Yuryevna Yamskikh is a distinguished academic serving as Head and Professor at the Department of Geography within the School of Ecology and Geography at Siberian Federal University. With over 43 years of professional experience and 45 years of advanced training, she is a leading expert in paleoenvironmental research of Siberian regions, specializing in Holocene climate and vegetation reconstructions. Her scientific expertise spans palynology, paleogeography, paleoclimatology, paleolandscape science, soil geography, exogenous geomorphology, and quaternary geology. Professor Yamskikh teaches comprehensive courses including geology, geography, landscape-geoecological systems, paleogeography, and modern problems of ecology and nature management. She heads postgraduate studies in Geoecology (1.6.21) and Geomorphology and paleogeography (1.6.14), demonstrating her leadership in academic training. Professor Yamskikh's recent research (2023-2025) reveals a strong focus on paleoenvironmental reconstructions, recreational resource management in the Krasnoyarsk Basin, snow cover composition analysis, and paleogeographic tourism. Her work bridges historical environmental studies with contemporary ecological challenges, particularly examining how Holocene climate and vegetation changes inform current environmental management practices in Siberia. She has published extensively on mollusk assemblages, floodplain soils, and climate change prediction in the Krasnoyarsk forest-steppe region. Her scientific achievements have been recognized with prestigious awards: Honorary Worker of Higher Professional Education Certificate of honor of the Ministry of Education and Science of the Russian Federation Laureate of the Krasnoyarsk City Head's Prize in the field of science and education – professor's prize Professor Yamskikh actively participates in the Russian Palynological Society and Russian Geographical Society. She has completed numerous advanced training programs from 2018-2023, focusing on digital teaching methods, climate project development, and modern educational technologies. Her research collaborations span multiple Siberian institutions, with significant contributions to understanding the environmental history of the Krasnoyarsk Basin and surrounding regions through interdisciplinary approaches combining palynological, malacofaunistic, and geomorphological analyses.