جست‌وجوی استاد و پژوهشگر

• 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.

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

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

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

Sergey Shershakov is an Associate Professor at the Faculty of Computer Science, Department of Software Engineering at the National Research University Higher School of Economics (HSE University). He serves as the Academic Director of the Systems and Software Engineering educational program and has been with HSE University since 2010. His academic journey includes a PhD from HSE University (2020) and a Master's degree in Software Engineering from the same institution (2012). Dr. Shershakov's research focuses primarily on Process Mining and Software Engineering, with specific interests in: Process Mining methodologies and tools Software Process Mining and analysis Object-Oriented and Component-Oriented Programming Information Systems Architecture Verification of Algorithms Embedded Systems development His scholarly contributions demonstrate a consistent focus on developing practical tools and methodologies for process mining, with particular emphasis on creating graphical interfaces (like VTMine for Visio), improving performance of process mining algorithms, and applying these techniques to real-world systems. His work bridges theoretical computer science with practical software engineering applications, especially in the domain of business process analysis and optimization. Dr. Shershakov has received numerous recognitions for his academic work: Best Teacher award (2014, 2017-2021) Best Academic Supervisor in the category 'Admission of Foreign Students' (2024) Multiple Gratitude awards from HSE University leadership (2017-2024) Academic Work Allowance (2016-2021) Member of the 'New Researchers' category in the High Professional Potential Group (2014-2015) As an educator, Dr. Shershakov teaches multiple courses in C++ programming, Algorithms and Data Structures, and Introduction to Programming across different departments at HSE University. He leads research projects including an RFBR grant focused on 'Development of methods for efficient implementation of algorithms of process mining based on large event logs' (2018). He is also an active member of the IEEE Task Force on Process Mining. Dr. Shershakov is affiliated with the Laboratory of Process-Aware Information Systems (PAIS Lab) at HSE University, where he conducts research on process mining techniques and their applications. His work has significant implications for business process optimization, system verification, and software engineering practices.

• Mobile Development
• Web Development
• Cloud Services
• +۱ 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.

• Artificial Intelligence
• Machine Learning
• Data Analysis
• +۱۲ مورد دیگر

Dmitry Vladimirovich Alexandrov serves as Professor at the Faculty of Computer Science, Department of Software Engineering at the National Research University Higher School of Economics (HSE) and heads the Research and Educational Laboratory of Cloud and Mobile Technologies. With 24 years of scientific and teaching experience, he joined HSE in 2014 and has established himself as a leading expert in multiple computer science domains. His academic credentials include Doctor of Technical Sciences (2010) and the academic title of Professor (2012). His educational foundation was built at Vladimir State University, where he graduated in 1997 with specialty in "Computers, complex systems and networks" and earned his Candidate of Technical Sciences degree in 2000. Dr. Alexandrov's research spans artificial intelligence, machine learning, mobile application development (particularly iOS), software engineering, and database technologies. His work bridges theoretical research with practical applications in cloud computing, mobile technologies, and intelligent systems development. His recent publications reveal a strong focus on practical AI applications in software engineering, including code generation using large language models, service mesh optimization, face recognition algorithms, and database technologies. This research demonstrates interdisciplinary collaboration across computer science subfields with real-world applications. HSE University Honorary Diploma (February 2025) Gratitude from the Faculty of Computer Science, National Research University Higher School of Economics (July 2023) Dr. Alexandrov actively supervises students at all academic levels, from bachelor's theses to doctoral research. He has secured significant research funding including the Grant of the President of the Russian Federation for state support of scientific research by young Russian scientists-doctors of sciences. As laboratory head, he directs research on cloud and mobile technologies, oversees scientific seminars, and leads collaborative projects with industry partners. His laboratory recently developed and registered with Rospatent software for visualization and markup of digital medical images in DICOM format, developed in partnership with the N.V. Sklifosovsky Research Institute of Emergency Medicine.

Shaikhelislamov Danil Salavatovichمشاهده پروفایل

مدرس ارشد

• Computer Science
• Information Technology
• Graph Neural Networks
• +۳ مورد دیگر

Shaikhelislamov Danil Salavatovich is a Senior Lecturer at the Faculty of Computer Science and Department of Software Engineering of the National Research University Higher School of Economics (HSE) , where he has been employed since 2021. He holds a Master's degree (2022) and a Bachelor's degree (2020) in Applied Mathematics and Physics from Moscow Institute of Physics and Technology . Research Interests: His work focuses on Graph Neural Networks , Trustworthy Machine Learning , and Code Analysis . He explores vulnerabilities in Membership Attacks and enhances Code Generation reliability through static analyzers. Publication Trends: Recent articles (2024) address LLM configuration , Trustworthy Code , and Privacy Risks in machine learning. Earlier work (2022–2019) examines graph algorithms for Influencer Detection and Node Sampling in social networks.

• Natural Language Processing
• Large Language Models
• Artificial Intelligence
• +۱ مورد دیگر

Fyodor Konstantinovich Pakhurov serves as a Research Intern at the Institute of Artificial Intelligence and Digital Sciences and as a Visiting Lecturer in the Department of Big Data and Information Retrieval within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE). He joined HSE in 2025 and works under the supervision of Lukyanchenko P.P. His research focuses on cutting-edge areas of artificial intelligence with particular emphasis on Natural Language Processing and Large Language Models. His work bridges theoretical computer science with practical financial applications through involvement in the Project-based Learning Laboratory "Artificial Intelligence in Mathematical Finance". Pakhurov actively participates in academic events and project seminars, contributing to the university's research ecosystem. His professional profile reflects strong engagement with both academic instruction and practical industry applications of AI technologies. He maintains professional activity with Ecom.Tech as a Machine Learning Model Specialist since 2024, demonstrating dual commitment to academic and industry work. His involvement in HSE's fifth Fintech School and project seminars on diffusion models highlights his active role in current research discussions.