جستجوی استاد راهنمای دانشگاهی

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

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

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

Ekaterina Artyushina serves as an Associate Professor at the Higher School of Economics (HSE University) at the Nizhny Novgorod campus, where she is affiliated with the Faculty of Management and Department of Marketing. She has been with HSE University since 2016 and serves as the Academic Supervisor for the Digital Marketing program. Her academic credentials include Candidate of Sciences (PhD equivalent) earned in 2007 and an undergraduate degree in Business Economics and Management from Nizhny Novgorod State University of Architecture and Engineering. 2011: Associate Professor title awarded 2007: Candidate of Sciences (PhD equivalent) from Nizhny Novgorod State University of Architecture and Engineering 1999: Degree in Business Economics and Management from Nizhny Novgorod State University of Architecture and Engineering Professor Artyushina's research focuses on contemporary marketing challenges in the digital age, with particular expertise in marketing communications, marketing research, and masstige marketing strategies. Her work examines how digital transformation affects consumer behavior, brand communication, and marketing channel effectiveness. She has published extensively on topics including digital communication channels for cosmetic brands, user experience on internet platforms, and the application of masstige strategies in the Russian market. Her recent publications (2020-2025) reveal a clear research trajectory focused on digital marketing transformations, with increasing attention to platform economics, EdTech branding, and pandemic-era business adaptations. The publications demonstrate methodological diversity, combining empirical consumer research with strategic marketing analysis, particularly examining how traditional marketing concepts adapt to digital environments. Professor Artyushina teaches multiple marketing courses across HSE University's programs, including Marketing, Marketing Communications, Marketing Research, and Marketing: Integration, Interaction, Promotion. Her teaching spans bachelor's, master's, and minor programs, reflecting her ability to adapt marketing education for different academic levels and disciplines. She has consistently taught these courses from 2020-2025 across multiple academic terms, demonstrating her commitment to marketing education at HSE University.

• marketing communications
• marketing research
• communication activity
• +۳ مورد دیگر

Lyudmila Rezunik is an academic and researcher at the National Research University Higher School of Economics (HSE), affiliated with the Faculty of Computer Science and the Department of Software Engineering . She also serves as a Junior Research Fellow at the Research and Educational Laboratory of Cloud and Mobile Technologies . Since joining HSE in 2023, her work focuses on bridging academic research and practical application in software engineering. Education: Bachelor's degree in Software Engineering (2023, HSE) Advanced training in pedagogy (2024), educational program modernization (2025), and team communication (2025) Research Interests: Mobile and web development Cloud services and game development Application of process mining in mobile app development Publications highlight her expertise in LLM-driven code generation and process mining for application families . She has developed patent-registered software for DICOM medical image visualization and remote web server-controlled servo drives . Recent recognitions include HSE Faculty of Computer Science awards and inclusion in the university's personnel reserve.

• Mobile Development
• Web Development
• Cloud Services
• +۱ مورد دیگر

Kuznetsova Olga Anatolyevna serves as an Associate Professor in the Department of Geography at the Institute of Ecology and Geography, Siberian Federal University, with over 25 years of scientific and pedagogical experience. Her academic journey began at Krasnoyarsk State University, where she earned her Candidate of Biological Sciences degree in 2000 with a dissertation on the structural and functional organization of zoobenthos in the Krasnoyarsk Reservoir. Candidate of Biological Sciences (2000), Krasnoyarsk State University Bachelor of Biology (1996), Krasnoyarsk State University Advanced training in pedagogical design, e-learning systems, and inclusive education (2018-2022) Her research spans aquatic ecosystem monitoring, paleomalacofauna studies of the late Holocene, and geoecological assessment of Siberian landscapes. Recent publications demonstrate a strong focus on boreal zone resource management, recreational impact assessment of protected areas, and geoinformation tools for environmental education. Her interdisciplinary work bridges geography, ecology, and sustainable development with particular attention to Yenisei Siberia's unique ecosystems. Dr. Kuznetsova has received numerous accolades including letters of thanks from regional governors, educational authorities, and the Russian Geographical Society. She maintains active membership in the Russian Geographical Society and serves on expert councils for youth science forums. Organized international conferences on Siberian environmental issues (2005-2022) Principal investigator for grants from CRDF, RFBR, and regional administrations Supervisor of student research projects and competitions She leads educational initiatives including the 'Yenisei Plus' geoinformation portal and coordinates student participation in national science competitions, demonstrating her commitment to developing the next generation of environmental scientists.

• Aquatic Ecosystem Monitoring
• Paleomalacofauna Studies
• Geoecology
• +۲ مورد دیگر

Ligaeva Nadezhda Anatolyevna is an Associate Professor at the Department of Geography, Siberian Federal University. With 30 years of scientific and pedagogical experience, her work focuses on physical geography, soil geography, and landscape science in Siberian boreal zones. University: Siberian Federal University Academic Rank: Associate Professor Key Research Areas: Physical Geography, Soil Geography, Landscape Science Education : Krasnoyarsk State Pedagogical University (1993) - Geography & Biology Teaching Qualification Research Interests span boreal ecosystem dynamics, permafrost zone soil cover analysis, climate change impacts on Siberian landscapes, and innovative pedagogical technologies in geography education. She has contributed to geoinformation systems development and ecological tourism planning. Publication Trends reveal a focus on: Boreal zone resource management Permafrost and climate change interactions GIS applications in environmental education Historical geographic exploration studies Anthropogenic landscape transformations Ecotourism sustainability models Scientific Awards : Certificate of Honor (Ministry of Education and Science, Russia) Letter of Thanks (Krasnoyarsk Krai Administration) Academic Contributions include 15+ publications on Siberian environmental systems, development of educational materials in geomorphology and hydrology, and leadership in blended learning course design. She actively participates in inclusive education initiatives and serves as a member of the Russian Geographical Society.

• Physical Geography
• Soil Geography
• Landscape Science
• +۵ مورد دیگر

Sergey Arkadyevich Lebedev is Associate Professor and Head of the Department of Software Engineering at the Faculty of Computer Science, National Research University Higher School of Economics (HSE). He joined HSE in 2021, bringing 29 years of scientific and teaching experience to his role. His responsibilities include organizing departmental activities, coordinating structural divisions, and developing practice-oriented educational programs using e-learning and distance learning technologies. Dr. Lebedev holds a Candidate of Economic Sciences degree (1999) specializing in Mathematical Methods in Economics, with his dissertation focusing on simulation modeling of investment project efficiency. He earned his specialist degree in Economic Cybernetics from Plekhanov Russian University of Economics in 1994, with the qualification 'Economist-Mathematician.' His research spans Society Informatization, Software Engineering, Automated Management Systems, Operations Research, and Adult Education. Recent publications demonstrate his focus on game development education, AI applications, and digital transformation, with notable works on narrative game design methods for educational improvement and analysis of AI in transportation design. His research consistently bridges theoretical knowledge with practical industry applications. Gratitude award from HSE Faculty of Computer Science (August 2022) Member of Council for Professional Qualifications in IT Member of Federal Educational and Methodological Association in Computer Science Organizing committee member for 'Enterprise Engineering and Knowledge Management' conference As an educator, Dr. Lebedev teaches 'Requirements Development and Analysis,' 'Information Technologies for Business Efficiency in the 1C Ecosystem,' and 'Automation and Digitalization of Enterprise Activities.' He actively collaborates with industry partners like 1C, which has donated equipment to enhance student learning experiences. His teaching philosophy emphasizes practical skills development while maintaining strong connections with current industry practices and technological advancements.

• Society Informatization and Information Policy
• Software Engineering
• Automated Organizational Management Systems
• +۷ مورد دیگر

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

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

Ryabtsev Dmitry Igorevich is an Associate Professor at the Faculty of Computer Science, National Research University Higher School of Economics (HSE), starting in 2024. With 10 months of scientific and teaching experience at HSE, he bridges computer science and medical disciplines through courses like 'C++ Programming' (09.03.04 Software Engineering) and 'Fundamentals of Medical Systems Design.' Master's Degree in Software Engineering (2024, HSE) Candidate of Medical Sciences (2014, Russian Federation Ministry of Education and Science) Doctor in General Medicine (2007, Stavropol State Medical University) His research integrates artificial intelligence , medical imaging , and data analysis to advance telemedicine and medical information systems . Recent publications focus on computer vision applications in healthcare and retinal pathology diagnostics for premature infants. He co-developed the Web client of the EYAS system (2025) and participates in flagship programs like 'Big Challenges' at Sirius Educational Center. Ryabtsev collaborates with institutions such as the Bascom Palmer Eye Institute and the National Medical Research Center 'Microsurgery of the Eye.'

• data analysis in biology and medicine
• innovations in medicine
• integration of medical systems
• +۶ مورد دیگر

Hetman Oleksandr Igorevich serves as an Associate Professor at the National Research University Higher School of Economics (HSE) within the Faculty of Computer Science and the Basic Department 'System Programming' affiliated with the Institute for System Programming named after V.P. Ivannikov of the Russian Academy of Sciences (ISP RAS). He began his tenure at HSE in 2018 and maintains additional appointments at ISP RAS since 2007 and Moscow State University's Computational Mathematics and Cybernetics faculty since 2016. His educational background includes: 2013: Candidate of Physical and Mathematical Sciences 2007: Master's degree in Applied Mathematics and Physics from Moscow Institute of Physics and Technology 2005: Bachelor's degree in Applied Mathematics and Physics from Moscow Institute of Physics and Technology Professor Hetman specializes in software engineering, binary code analysis, and network traffic analysis. His research demonstrates consistent focus on network security, traffic classification, and binary code analysis methodologies, with publications spanning from 2014 to 2021. His work shows progressive development from foundational research on data format recovery to sophisticated network traffic analysis systems. His teaching portfolio prominently features the 'Computer Networks and Telecommunications' course for Software Engineering Master's students across multiple academic years (2020-2026). He has secured multiple research grants from Russian funding bodies including RFBR (РФФИ) projects 12-01-31417, 14-07-00606, 15-07-07652, 16-29-09632 and RGNF (РГНФ) project 16-06-00830-ОГН. His professional activities indicate active engagement in both academic instruction and research leadership within Russia's computer science community, with publications appearing in reputable Russian academic journals and international computer science publications.

• software engineering
• binary code analysis
• network traffic analysis

Vladimir Arkadyevich Bessonov is an Associate Professor at the Faculty of Economic Sciences of the National Research University Higher School of Economics (HSE), where he has been working since 1994 with 38 years of scientific and teaching experience. He serves as Head of the Department of Analysis of Real Sector Industries and Foreign Trade at the Institute "Development Center" and as Deputy Editor-in-Chief of the HSE Publishing House's Editorial Board for the mass media journal "Higher School of Economics Economic Journal". His research focuses on analysis of socio-economic processes, Russian economy, economic growth, and inflation. Bessonov has made significant contributions to the field of economic statistics, particularly in the areas of price statistics, measurement of inflation, and macroeconomic dynamics in transitional economies. His work often addresses methodological issues in economic measurement and the challenges of statistical systems in Russia. His recent publications demonstrate a continued focus on contemporary economic challenges including the impact of sanctions on the Russian economy, pandemic-related inflation dynamics, and the evolution of statistical methodologies. Bessonov's research consistently bridges theoretical economic concepts with practical statistical applications, making important contributions to both academic discourse and policy-relevant analysis. Letter of thanks from the Accounts Chamber of the Russian Federation (February 2025) Honorary title 'Honorary Worker of Science and Technology of the Russian Federation' (November 2012) Multiple Academic Work Allowances (2006-2024) Member of the Scientific and Methodological Council of Rosstat Expert of the Accounts Chamber of the Russian Federation Bessonov has supervised PhD students, including M.V. Alexeenkova's 2002 dissertation on sectoral analysis of securities in the Russian transitional economy. He has also contributed to numerous research projects and grants focused on economic measurement, inflation analysis, and structural economic changes. His involvement in the development of economic indices, including monthly intensity indices for industrial production and foreign trade, demonstrates his practical impact on economic monitoring in Russia. As a member of the editorial board of the 'Economic Journal of the Higher School of Economics' since 1997 and editor of the HSE preprint series 'Quantitative Analysis in Economics,' Bessonov has played a significant role in shaping economic research dissemination in Russia.

• analysis of socio-economic processes
• Russian economy
• economic growth
• +۵ مورد دیگر

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

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

Dmitry Shuklin is an Associate Professor at the Chair of Computer Engineering and Design within the Faculty of Software Engineering and Computer Systems at ITMO University. He holds a PhD and has been actively involved in academic roles since 2005. Education: Graduated from Herzen State Pedagogical University of Russia Thesis: "Development of web resources for students" (2005) His research focuses on digital education infrastructure, specifically through supervising distance learning initiatives. He has led projects for: Vocational Training Academy East European Institute of Psychoanalysis ITMO University's Department of Management and Automation Controls Shuklin contributes to pedagogical technology innovation while maintaining formal affiliations with ITMO University's academic structure.

• E-Learning
• Educational Technology
• Web Development
• +۳ مورد دیگر

Valery Alexandrovich Pomazan is a Senior Lecturer at the Department of Modern Educational Technologies within the Siberian Federal University , specializing in educational technology, social assistance history, and computer psychodiagnostics. Educational background: Krasnoyarsk State Technical University (2001, Information Systems in Social Psychology), Siberian Federal University (2016, Master of Education) Advanced training certificate from the "Creative University (Change Laboratory) School of PPS" center (2023) Research interests span Educational Technology , Computer Psychodiagnostics , and Historical Sociology , with a focus on: Web-based educational systems Multicultural education frameworks 20th-century social assistance models in Siberia Digital tools for student self-assessment Psychological profiling technologies Academic success formation Project involvement includes leadership in automated student systems (2006-2007) and collaborations in multicultural education (2014-2016).

• Educational Technology
• Social Work
• Multicultural Education
• +۳ مورد دیگر

Aleksandr Kapitonov is an Associate Professor and Acting Dean at the Faculty of Infocommunication Technologies, ITMO University. He also serves as CTO at DCZD.tech and Merklebot.com while maintaining academic roles at the Faculty of Control Systems and Robotics. PhD in Engineering Specializes in Web 3.0, human-machine communication, and unmanned technologies Active in international robotics events and IoT development Research Interests include blockchain applications in robotics, autonomous systems, and innovative educational technologies like project-based learning and flipped classrooms. His work spans human-machine interaction, robotics education, and advanced control systems. Scientific Achievements include multiple awards in robotics and IoT, best paper recognition at ICAME, and leadership roles in international competitions like World Robot Olympiad. He participates in academic committees including the Symposium on Blockchain for Robotics and AI and the International Workshop on Blockchain Technologies for Robotic Systems (BCT4ROS 2020).

• Web 3.0
• Human-Machine Communication
• Unmanned Technologies
• +۵ مورد دیگر