جست‌وجوی استاد و پژوهشگر

Alexey Evgenievich Osadchiyمشاهده پروفایل

استاد

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

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.

Roshchin Sergey Yuryevichمشاهده پروفایل

دانشیار

• Labor Economics
• Personnel Economics
• Population Economics
• +۵ مورد دیگر

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.

• Computer Vision
• Artificial Intelligence
• Pattern Recognition
• +۶ 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.

• Neuroinformatics
• Neural Networks
• Semantic Networks
• +۶ مورد دیگر

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.

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

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

• Philology
• Russian Literature
• Theater Studies
• +۵ مورد دیگر

Evgenya Abelyuk serves as Associate Professor at the School of Philological Studies within HSE University's Faculty of Humanities. She concurrently holds the positions of Chief Expert at the Centre for Digital Archival Studies and Programme Head for Contemporary Philology in Russian Language and Literature Instruction at Secondary Schools. Having joined HSE University in 2010, she maintains active roles in research, teaching, and academic leadership. Her educational background includes: 1975: Philological Degree from Lomonosov Moscow State University 1999-2001: Qualification Improvement in Philological Text Analysis (MIROS) 2005: Modern Text Analysis Methods (NIIRO) 2012: Work with Gifted Children (Moscow State University) 2015: Professional Internship in France (French Embassy Program) 2018-2021: Multiple advanced training programs in literary research and Russian language pedagogy Professor Abelyuk's research centers on philology , Russian literature (particularly Soviet-era works), and theater studies with specialized focus on Taganka Theater. Her work explores mythological language in art , digital commentary systems , and historical contexts of literary production. She pioneered the Digital Universal Commentary project, creating visual annotations for Soviet-era literary texts. Her recent publications (2020-2025) reveal three dominant trajectories: Bulgakov studies examining socio-political dimensions of his work; Taganka Theater analysis focusing on Yuri Lyubimov's directorial legacy; and digital humanities innovations in literary commentary. These intersect with her educational mission through textbooks and teacher training materials. Her scientific recognition includes: Best Teacher Award (2025) Best Teacher Award (2021-2022) Best Teacher Award (2017) Best Teacher Award (2013-2015) Professor Abelyuk supervises master's theses in philology while developing educational programs like the "Mentor's Seminar" and "Research Seminar on Reading Practices." Her grant work centers on digital projects including the Visual Commentary initiative and distance learning methodologies. She leads collaborative efforts through the Centre for Digital Archival Studies and maintains active partnerships with Taganka Theater researchers and international philological conferences.

• Educational software design and development
• Collaborative learning
• Computer game development education
• +۷ مورد دیگر

Maksimenkova Olga Veniaminovna is an Associate Professor and Deputy Head of the Department of Software Engineering at the Faculty of Computer Science, National Research University Higher School of Economics (HSE University) in Moscow. With over 20 years of scientific and teaching experience, she has been working at HSE since 2009. Her academic journey includes positions as Senior Lecturer, Researcher at the International Laboratory for Intelligent Systems and Structural Analysis, and Deputy Director of the Center for Strategic Analytics and Big Data. Dr. Maksimenkova holds a Candidate of Technical Sciences degree (2018) in Information Systems and Processes, with a dissertation on improving educational information systems based on life cycle models of control and measuring materials. She graduated from Moscow State Institute of Electronics and Mathematics in 2006 with a specialty in Applied Mathematics and the qualification of Mathematician-Engineer. Her extensive professional development includes numerous advanced training programs in educational technologies, software engineering, and emotional intelligence. Her research focuses on educational software design, collaborative learning methodologies, game development education, and adaptive learning systems. She has made significant contributions to the field of educational technology through her work on data science education, virtual reality applications, and computer-supported collaborative learning environments. Dr. Maksimenkova's research bridges theoretical frameworks with practical applications in software engineering education. Analysis of her recent publications reveals a strong emphasis on game-based learning approaches, particularly using Unreal Engine for educational purposes. Her work demonstrates a consistent focus on practical applications of educational technology in software engineering contexts, with increasing attention to AI integration in educational settings. The publications show evolution from foundational work on educational software testing to more sophisticated applications involving game development, virtual reality, and adaptive learning systems. Honorary certificate of HSE University (March 2025) Gratitude from Higher School of Economics (December 2022) Multiple gratitudes from HSE University Vice-Rector (August 2021) Academic work bonus for six consecutive academic years (2013-2019) Inclusion in HSE University's high professional potential group (personnel reserve) Recognition in the Best Russian-language Scientific Works competition (2024) Dr. Maksimenkova actively supervises student course works and final qualification projects, and mentors graduate students. She has been instrumental in developing educational projects including the Summer School on Software Engineering and the GameDev Laboratory at ITHub College. Her grant activities include participation in the Microsoft Azure University Grant program (2016-2017) and various educational innovation projects at HSE University. She has coordinated teams for translating educational platforms and developed numerous educational materials for programming courses. As Academic Director of the Summer School on Software Engineering and Senior Analyst at the 'Vintorog' game development studio, Dr. Maksimenkova leads initiatives that bridge academic research with industry applications. She coordinates the OpenEdX-platform translation team and has been involved in developing educational games, including 'FCN Go!' released to celebrate the 10th anniversary of the Faculty of Computer Science. Her laboratory work focuses on practical applications of game development principles in educational contexts, creating tools that enhance the learning experience through interactive technologies.

• International private transport law
• Structuring international commercial transactions
• International private law
• +۷ مورد دیگر

Alexandra Sergeevna Kasatkina serves as Associate Professor at the Faculty of Law of the National Research University Higher School of Economics (HSE), where she also holds significant administrative positions including Deputy Dean for Academic Affairs, Co-director of the Jurisprudence educational program, Academic Director of the Jurisprudence: private law program, and Head of the Advanced Training Program on Introduction to the Chinese Legal System. With over 15 years of experience at HSE since 2008, she has established herself as a prominent scholar in international private law with a specialized focus on transport law and international commercial transactions. Her research interests center on international private transport law, structuring international commercial transactions, and various aspects of international private law including conflict of laws, international civil procedure, and unified norms. Her scholarly work demonstrates a clear trajectory toward increasingly sophisticated analysis of international legal frameworks, particularly in aviation law, corporate ethics, and the impact of sanctions on cross-border disputes. Recent publications reveal a growing emphasis on practical applications of international private law in contemporary business contexts, including mergers and acquisitions under sanctions, corporate ethics implementation, and international commercial arbitration. Medal 'Recognition - 15 years of successful work' from HSE (January 2025) Best teacher award (2021-2024) Winner of the competition for best Russian-language scientific works (2022) Best academic supervisor in multiple categories (2023-2024) High professional potential group membership (HSE reserve staff) As Deputy Dean for Academic Affairs, Professor Kasatkina oversees curriculum development, faculty recruitment, and academic program management across the Faculty of Law. She has been instrumental in developing innovative educational approaches, including problem-oriented learning methods to enhance research competencies. Her leadership extends to coordinating international collaborations, as evidenced by her participation in the Shanghai Cooperation Organization Legal Forum in Shanghai, China. Professor Kasatkina also directs research projects focused on the contemporary structure of private international law and transactional work for international commercial deals.

• Intelligent Transport Systems
• Location-Based Services
• Software and Hardware Integrated Navigation Systems
• +۷ مورد دیگر

Saleh Hadi Mohammed is an Associate Professor at the Faculty of Computer Science , National Research University Higher School of Economics (HSE), where he has worked since 2015. With over 10 years of academic experience, his expertise spans software engineering, blockchain systems, and intelligent transport technologies. Candidate of Technical Sciences (2013) Engineer in 'Computers, Complexes, Systems and Networks' (2008) Professional training in Moodle-based distance learning Research interests include: Intelligent transport systems and location-based services Software/hardware navigation integration and blockchain applications Cloud services, mobile app development, and MLOps platforms His recent publications analyze MLOps scalability, blockchain donation tracking, and AI-driven navigation for visually impaired users. Notable collaborations involve Springer, IEEE, and CEUR Workshop Proceedings. Scientific awards : Gratitude from HSE Faculty of Computer Science (2024) As a thesis supervisor , he has guided 15+ students in projects ranging from fraud detection to mobile education apps. He also leads SmartMLOps , HSE’s AI service deployment platform (2024), and participated in the Administrative Personnel Reserve Program (2024-2025).

• Economic Development and Growth
• Productive Forces and Scientific and Technological Progress
• Multinational Corporations
• +۵ مورد دیگر

Maxim Yurevich is an Analyst at the Center for Structural Policy Research (HSE University) since 2019. He holds an MA and BA in Economics from Moscow State University. His research focuses on economic development , labor productivity , and industrial policy , with emphasis on multinational corporations , technological sovereignty , and global value chains .

• convex optimization
• non-convex optimization
• stochastic optimization
• +۳ مورد دیگر

Nikita Evgenievich Yudin is a Research Fellow at the Laboratory of Theoretical Foundations of Artificial Intelligence Models within the Institute of Artificial Intelligence and Digital Sciences at the Faculty of Computer Science, National Research University Higher School of Economics (HSE University) in Moscow. He joined HSE University in November 2024 and works under the supervision of Puchkin N.A. 2020: Master's degree in Applied Mathematics and Computer Science from Lomonosov Moscow State University 2018: Bachelor's degree in Applied Mathematics and Computer Science from Lomonosov Moscow State University April-July 2023: Research internship at MBZUAI in Abu Dhabi, United Arab Emirates Yudin's research focuses on advanced optimization techniques with applications in artificial intelligence. His primary areas include convex optimization, non-convex optimization, stochastic optimization, and reinforcement learning. His work centers on developing and analyzing optimization algorithms, particularly variants of the Gauss-Newton method, for solving complex mathematical problems in machine learning and decision processes. He applies these methods to Markov decision processes and reinforcement learning frameworks, contributing to theoretical foundations of AI models. His publication record shows a strong focus on optimization theory and its applications, with several papers published in reputable journals including Computational Mathematics and Mathematical Physics, Journal of Global Optimization, and Doklady Mathematics. His research demonstrates a progression from foundational work on nonlinear equation solving to more complex applications in Markov decision processes. Yudin maintains active scholarly profiles through ORCID (0000-0002-4505-7727), ResearcherID (LTF-7692-2024), Scopus (57222259323), and Google Scholar, indicating his commitment to academic visibility and collaboration. As a member of the Laboratory of Theoretical Foundations of Artificial Intelligence Models, Yudin contributes to HSE University's growing reputation in AI research. His work bridges theoretical mathematics with practical AI applications, focusing on the mathematical underpinnings that make advanced machine learning systems possible. His flexible office hours suggest an adaptable approach to collaboration within the academic community.

• Computational Genomics
• Bioinformatics
• Viral Evolution
• +۳ مورد دیگر

Попова Анфиса Витальевна serves as a Research Fellow at the Faculty of Computer Science, National Research University Higher School of Economics (HSE), specifically within the Institute of Artificial Intelligence and Digital Sciences and the International Laboratory of Statistical and Computational Genomics. She began her position at HSE in 2025 with 1 year of scientific and teaching experience, though her total professional work experience exceeds 5 years. Her academic background includes a Specialist degree in Bioengineering and Bioinformatics from Lomonosov Moscow State University (2012), where she earned the qualification of Bioengineering Specialist. She is proficient in English and German languages. Dr. Popova's research focuses on computational genomics, viral evolution, and statistical genetics, with particular emphasis on molecular evolution of viral pathogens and amino acid site dynamics. Her work combines bioinformatics, machine learning, and evolutionary biology to analyze genomic data from viruses like SARS-CoV-2 and influenza A. She has published in high-impact journals including Nature Communications, PLoS Genetics, and Proceedings of the National Academy of Sciences. Her recent publications demonstrate a consistent research trajectory in evolutionary genomics, with increasing sophistication in modeling viral evolution and protein dynamics. The publications reveal strong collaboration with researchers including Neverov A.D. and Shchur V.L., indicating active participation in an international research network. Phone: 15060, +79934329805 Address: AUK "Pokrovsky Boulevard", Pokrovsky Boulevard, Building 11, Office G423 ORCID: 0000-0001-9365-7324 Scopus Author ID: 57211284444 Dr. Popova teaches the Research Seminar "Artificial Neural Networks and Machine Learning" for third-year Biology students at the Faculty of Biology and Biotechnology. In October 2024, she participated in the "Laboratory" season opening event where laboratory staff met with Computer Science students, demonstrating active engagement with the academic community. She is supervised by Shchur V.L. and maintains professional profiles across major academic indexing services including ResearcherID (LTZ-9597-2024) and Google Scholar.

• Creativity
• Psychology of Thinking
• Methods of Creativity Development
• +۵ مورد دیگر

Sergey Rostislavovich Yagolkovsky is an Associate Professor at the Department of Psychology, Faculty of Social Sciences, National Research University Higher School of Economics (HSE), where he has been working since 2005. With 22 years of scientific and teaching experience, he has established himself as a leading expert in creativity research, psychology of thinking, and innovation studies. His academic journey spans multiple disciplines, reflecting his diverse educational background in psychology, natural sciences, and engineering. 2011: Academic title of Associate Professor 2005: Candidate of Psychological Sciences from Lomonosov Moscow State University 2001: MSc from University of Manchester 2001: Psychology degree from Moscow State University 1988: Engineering degree from Minsk Radiotechnical Institute Professor Yagolkovsky's research focuses on creativity, innovative thinking, and cognitive processes. His work explores functional fixedness, group creativity, and methods for developing creative abilities. He has developed approaches to stimulate creativity through semantic priming and naming objects, and has investigated cultural variations in creative evaluation. His research bridges psychology, cognitive science, and organizational behavior, examining how creativity manifests in educational, professional, and digital contexts. His extensive publication record shows a consistent focus on creativity assessment and enhancement, with recent work exploring AI applications in creativity evaluation and cross-cultural perspectives on creative thinking. His research demonstrates strong international collaboration, particularly with researchers from UAE, France, and Germany. Deputy Editor-in-Chief of the journal 'Psychology. Journal of the Higher School of Economics' since 2010 Senior Researcher at the Cognitive Research Laboratory (2011-2020) Recipient of multiple awards including 'Best Teacher' (2014-2020) and the 'Recognition Medal' for 15 years of service Professor Yagolkovsky actively contributes to academic life through conference participation and editorial work. His teaching covers creativity, innovative thinking, and psychology courses across multiple disciplines, reflecting his interdisciplinary approach. His research on functional fixedness has particular practical applications in educational and organizational settings seeking to enhance creative problem-solving abilities.

Шабалина Ольга Михайловнаمشاهده پروفایل

دانشیار

• Ecology
• Forest Ecosystem Dynamics
• Environmental Impact Assessment
• +۳ مورد دیگر

Шабалина Ольга Михайловна is an Associate Professor at the Department of Ecology and Nature Management within the School of Ecology and Geography at Siberian Federal University. With 25 years of professional experience, her research focuses on forest ecosystem dynamics, environmental impact assessment, and vegetation restoration after anthropogenic and natural disturbances. Her scientific directions include Dynamics of forest ecosystems Radioecology Urban and suburban forest management Research Interests Vegetation succession patterns Post-fire and post-pollution ecological recovery Morphometric analysis of Siberian coniferous species Recreational impact on green spaces Key publications address topics like plant community structures in long-term experiments, recreational load assessment in urban parks, and hydrothermal dynamics in cryogenic soils after fires. Her work often involves collaborative research with colleagues like Irina Bezkorovaynaya and Nina Pakharkova. Education Krasnoyarsk State University (Biology, 1990) Advanced Training Radioecology (2012) English for scientific communication (2013-2018) E-learning pedagogy (2014-2015)

• Poverty
• Social Stratification
• Social Policy
• +۳ 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.