Find Academic Supervisors

• 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.

• Virtual Reality
• Scientific Visualization
• Computer Graphics
• +4 more

Aleksandr Zagarskikh is an Associate Professor at the Game Development School of ITMO University, specializing in virtual reality, scientific visualization, and high-performance computing. He has led projects in quantum chemistry visualization, flight simulators, and urban simulation technologies. Developed real-time graphics systems for ultra-realistic image synthesis Created high-performance network protocols for distributed visualization Current research focuses on big data decision-making in finance and multiscale urban modeling His work spans predictive modeling, GPU optimization, and cloud-based infrastructure visualization, with publications in Procedia Computer Science. He teaches courses in game technologies, VR, and scientific computer graphics.

• Educational software design and development
• Collaborative learning
• Computer game development education
• +7 more

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.

• Fuzzy-random optimization
• Econometric analysis
• Mathematical Economics
• +3 more

Shvedov Aleksey Sergeevich is a Professor at the Faculty of Economic Sciences of the National Research University Higher School of Economics (HSE), affiliated with the Department of Applied Economics. He has been working at HSE since 1993 with 44 years of scientific and teaching experience. His office is located at Pokrovsky Boulevard, 11, office S524 in Moscow. Professor (1997) Doctor of Physical and Mathematical Sciences (1992) Specialist in Mathematics from Lomonosov Moscow State University, Faculty of Mechanics and Mathematics (1978) Additional education at London School of Economics (1998) and Sorbonne (2000) Professor Shvedov's research focuses on the intersection of fuzzy logic, probability theory, and economic applications. His work primarily explores fuzzy-random optimization, econometric analysis, mathematical economics, and random matrix theory. He has developed innovative approaches to modeling economic phenomena using fuzzy-probability analysis, particularly in financial time series, game theory applications, and regression models with fuzzy data. His research bridges theoretical mathematics with practical economic applications, especially in financial markets and decision-making under uncertainty. His recent publications (2020-2024) demonstrate a consistent focus on advancing fuzzy set theory applications in economics, with particular emphasis on game theory (Cournot and Bertrand oligopoly models with fuzzy parameters), statistical decision theory with fuzzy losses, and financial modeling using fuzzy systems. The work shows increasing sophistication in handling fuzzy-random variables and developing computational methods for economic applications. Scientific awards and recognition: Medal "Recognition - 25 years of successful work" (2023) Honorary Worker of Higher Professional Education of the Russian Federation (2016) Certificate of Honor from Ministry of Education and Science (2012) Multiple academic work allowances and publication bonuses Prize from Moscow Mathematical Society (1987) Inclusion in Who's Who in the World (2016) Professor Shvedov has supervised multiple doctoral dissertations, including works on portfolio theory and covariance matrix estimation. He has led research grants, notably an RFBR project on computational financial mathematics (2000-2002). His teaching portfolio includes advanced courses in probability theory, statistical analysis of financial time series, and specialized courses on fuzzy-probability analysis and financial market models. He has been actively presenting research at major international conferences, particularly the annual conferences named after S.A. Ayvazyan.

• Creativity
• Psychology of Thinking
• Methods of Creativity Development
• +5 more

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.

• Mobile Development
• Web Development
• Cloud Services
• +1 more

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.

• convex optimization
• stochastic optimization
• probability theory
• +3 more

Egor Leonidovich Gladin serves as both Associate Professor in the Department of Big Data and Information Retrieval and Senior Research Fellow at the Laboratory of Theoretical Foundations of Artificial Intelligence Models within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE). He began his formal appointment at HSE in 2025, though he has been affiliated with the university as a Research Intern since 2022. His educational background includes a PhD from Humboldt University of Berlin (2024), a Master's degree in Applied Mathematics and Physics from Moscow Institute of Physics and Technology (2021), and a Bachelor's degree in the same field from the same institution (2019). Gladin is proficient in Russian, English, and German, facilitating his international research collaborations. Gladin's research focuses on convex optimization and stochastic optimization methods, with significant contributions to probability theory and mathematical statistics. His work addresses fundamental challenges in optimization theory, particularly for problems with dimensional constraints, developing algorithms with provable convergence properties. His publications span theoretical foundations of optimization algorithms with applications to artificial intelligence and machine learning, demonstrating expertise in minimax problems, Markov decision processes, and convex minimization with inexact oracles. Among his scientific achievements is a bonus for publication in a journal from List A (2025-2026), recognizing the quality and impact of his research. His scholarly work has appeared in prestigious venues including the Journal of Optimization Theory and Applications, Proceedings of Machine Learning Research, and NeurIPS. As an educator, Gladin teaches Mathematical Statistics 1 and 2 for undergraduate students in the Applied Mathematics and Computer Science program, and Modern Algorithmical Optimization for both undergraduate and graduate students. His teaching emphasizes theoretical foundations while connecting concepts to practical applications in data science and artificial intelligence. He is supervised by Naumov A.A. and Puchkin N.A. at HSE and maintains active collaborations with prominent researchers including Gasnikov A. and Dvurechensky P. in the optimization and machine learning communities.

Denis Vladimirovich KapulinView profile

Associate Professor

• Space Instrumentation
• Satellite Navigation Systems
• Radio-Electronic Equipment Design
• +4 more

Denis Vladimirovich Kapulin is an Associate Professor at the School of Space and Information Technologies, Siberian Federal University, holding the academic title of доцент (Associate Professor) with a Candidate of Technical Sciences degree in technical sciences. His work spans multiple departments related to radio-electronic systems and space instrumentation, with an office located at Kirensky street, 26B, building № 17 (F), room 2-20a. He serves as Acting Director of a research unit focused on space instrumentation and navigation systems. Dr. Kapulin's research interests center around space instrumentation, satellite navigation systems, radio-electronic equipment design, and production optimization. His work bridges theoretical research with practical applications, particularly in developing miniature band-pass microwave filters, angular satellite navigation equipment, and automated production planning systems. He has made significant contributions to both aerospace engineering and manufacturing optimization fields, with numerous patents reflecting his practical approach to solving engineering challenges. His publication trends show consistent research output with 15+ publications annually, demonstrating expertise across multiple domains including satellite navigation, production planning, and radio-electronic equipment design. Recent work focuses on digital transformation in manufacturing, augmented reality applications for predictive maintenance, and optimization of small-batch production systems. Scientific Awards and Recognition: Laureate of the award for young talents of the head of Krasnoyarsk city for achievements in scientific and educational activities Laureate of the award from JSC AKC "International Financial Club" for contributions to space instrumentation science Expert in the scientific and technical field of FSBSI NII RINKTSE Member of the expert council of the Krasnoyarsk regional innovation and technology business incubator Dr. Kapulin has secured multiple significant research grants from the Russian Ministry of Education and Science, including projects on high-tech production of miniature band-pass filters (2017-2019), development of highly selective microwave filters (2017-2019), creation of angular satellite navigation equipment (2016-2017), and architecture development for System-on-Chip navigation receivers (2015-2017). His collaborative research involves extensive work with colleagues like Oleg Drozd and Polina Russkikh across multiple laboratories focused on radio-electronic systems and space technologies. The research team he participates in maintains strong connections with industry partners in the aerospace and radio-electronic sectors, facilitating technology transfer from academic research to practical applications. Current projects focus on digital transformation of manufacturing processes, advanced satellite navigation systems, and optimization of production planning for small-batch manufacturing environments.

• exploratory behaviour
• complex problem solving
• complicology
• +4 more

Alexander Poddiakov is a Tenured Professor at the National Research University Higher School of Economics (HSE University) in Moscow, where he has maintained faculty status since 2003. He holds dual appointments as a Leading Research Fellow at the International Laboratory for Logic, Linguistics and Formal Philosophy and as a Professor in the Faculty of Social Sciences/School of Psychology. His academic trajectory demonstrates consistent contributions across psychology, education, and mathematical reasoning, with particular expertise in complex cognitive systems and non-transitive relationships. Poddiakov earned his Candidate of Sciences (PhD equivalent) in Pedagogical Psychology from Lomonosov Moscow State University in 1990, followed by a Doctor of Sciences degree from the Russian Academy of Education Institute of Psychology in 2001. He was promoted to Professor in 2009 and achieved tenured status at HSE University in 2011, reflecting his substantial scholarly contributions. His educational background in psychology forms the foundation for his interdisciplinary research spanning cognitive science, educational theory, and formal systems analysis. Professor Poddiakov's research program centers on exploratory behavior, complex problem solving, and complicology—the systematic study of creating, diagnosing, and managing difficulties. His groundbreaking work on intransitivity of superiority relationships (where A beats B, B beats C, but C beats A) challenges conventional assumptions about rationality across multiple domains including biology, economics, and game theory. He has developed innovative methodological approaches using interactive exploratory objects to study how individuals navigate complex problem spaces characterized by uncertainty and conflicting information. His theoretical contributions extend to 'Trojan horse' teaching methodologies, evolutionary aspects of creating difficulties for others, and the psychological implications of non-transitive relationships in educational contexts. His publication record reveals a consistent intellectual trajectory examining how humans process complexity, uncertainty, and paradoxical situations. A defining theme across his work is the investigation of intransitive relationships and their implications for decision-making, educational practices, and cognitive development. His research spans theoretical foundations, experimental psychology, educational applications, and practical implications for understanding competitive dynamics in social and professional contexts, with increasing attention to digital environments and AI systems. Best Teacher Award at HSE University (2024, 2015, 2012) Best Monograph on Psychology Award at the All-Russian Competition of Psychological Books (2007) for "Psychology of competition in teaching/learning" Extensive editorial board service for journals including "Voprosy Psikhologii," "Integrative Psychological and Behavioral Science," and "Psychology. Journal of the Higher School of Economics" Professor Poddiakov actively supervises doctoral students, with particular focus on strategies for creating tasks that help and counteract learning in competitive gaming environments. His teaching portfolio is remarkably diverse, spanning Psychology, Sociology, Economics, Management, Law, History, and Mathematics programs across multiple HSE campuses. This interdisciplinary approach reflects his theoretical perspective that cognitive processes cannot be fully understood within narrow disciplinary boundaries. His courses, including "Psychology of Thinking and Reasoning" and "Psychology of Communication," emphasize practical applications of theoretical concepts in real-world contexts. As a Leading Research Fellow at the International Laboratory for Logic, Linguistics and Formal Philosophy, Poddiakov contributes to cutting-edge research at the intersection of formal systems and human cognition. His work with interactive exploratory objects represents an innovative methodology for studying cognitive processes through tangible, manipulable systems. Current research directions include examining the implications of intransitive relationships in AI systems, the psychology of knowledge sharing between researchers from rival nations, and the development of educational tools for teaching complex problem-solving skills in the digital age.

• Society Informatization and Information Policy
• Software Engineering
• Automated Organizational Management Systems
• +7 more

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.

Denis Alekseevich PozdnyakovView profile

Lecturer

• Computer Game Development
• Software Engineering Education
• Game Design
• +5 more

Denis Alekseevich Pozdnyakov is a Lecturer at the Faculty of Computer Science within National Research University Higher School of Economics (HSE) , specifically in the Department of Software Engineering . He serves as the Academic Director for HSE's new Game and Digital Product Development bachelor's program, a unique interdisciplinary initiative combining design, programming, and business. 2007: Specialist degree in Organization Management from Moscow Financial and Industrial Academy 2025: Advanced training in software engineering educational modernization at HSE His research interests focus on: Computer game development pedagogy Interactive learning systems Narrative design methodologies Product management frameworks Creative industries education Recent scientific contributions include two book chapters on game development education. He actively contributes to educational program design, having co-authored the game FKN Go! registered with Rospatent in 2025, which serves both as a creative product and educational tool. As industry expert , Pozdnyakov combines academic work with co-owning game studios Vintorog and Contrast Games , where he has developed a dozen commercial titles including Prime World , VRobot , and CreamSodaClub with VR components. He also mentors at Skolkovo Innovation Center and evaluates projects for ArtMasters and Start the Game competitions.

Smirnov Nikita SergeevichView profile

Lecturer

• gamification in online learning
• gamification project management
• Software Engineering
• +1 more

Smirnov Nikita Sergeevich is a Lecturer at the National Research University Higher School of Economics (HSE University), working within the Faculty of Computer Science, Department of Software Engineering. He began his tenure at HSE in 2022 following the completion of his Bachelor's degree in Software Engineering from the same institution. University: National Research University Higher School of Economics School: Faculty of Computer Science Department: Department of Software Engineering Position: Lecturer Start Date: 2022 Smirnov's research interests focus on gamification in online learning and gamification project management. His work intersects with software engineering education and strategic analytics for computer games. He has been actively involved in developing educational content that incorporates game elements to enhance learning experiences. Smirnov supervises student graduation theses and has been teaching courses including Introduction to Software Engineering, Economics of Software Engineering, and a Research Seminar on Strategic Analytics for Computer Games across multiple academic years (2022/2023 through 2025/2026). He is associated with the "FKN Go!" project, a multi-level 2D runner game with quiz elements developed to celebrate the 10th anniversary of the Faculty of Computer Science. The game introduces players to university locations on Pokrovsky Boulevard and shares interesting facts about the Faculty and HSE, with its editor intended for use in educational processes. His professional activities extend beyond academia, with concurrent roles in the industry including as Lead Bizdev at "Vintorog" since January 2022, and previous positions at "TKO-Inform" and "Skillbox" in project management and development leadership roles.

• convex optimization
• mathematical modeling of traffic flows
• Markov processes
• +3 more

Alexander Vladimirovich Gasnikov is a Leading Researcher at the National Research University Higher School of Economics (HSE), specifically within the Faculty of Computer Science, the Institute of Artificial Intelligence and Digital Sciences, and the International Laboratory of Stochastic Algorithms and Multidimensional Data Analysis. He has been working at HSE since 2015 and has accumulated 17 years of scientific and teaching experience. Gasnikov received his academic credentials from the Moscow Institute of Physics and Technology (State University). He earned his Bachelor's degree in Applied Mathematics and Physics in 2004, followed by a Master's degree in the same specialty in 2006. He completed postgraduate studies at MIPT from 2006-2007, earned his Candidate of Physical and Mathematical Sciences degree in 2007, was awarded the academic title of Associate Professor in 2011, and ultimately received his Doctor of Physical and Mathematical Sciences degree in 2016 with a dissertation on 'Efficient Numerical Methods for Finding Equilibria in Large Transport Networks.' Gasnikov's research focuses on convex optimization, mathematical modeling of traffic flows, and Markov processes. His work bridges theoretical mathematics with practical applications in optimization algorithms and transportation science. He has made significant contributions to developing efficient numerical methods for optimization problems, particularly in the context of large-scale networks and stochastic settings. His research has evolved from traditional optimization methods to more advanced techniques involving stochasticity, decentralization, and applications to machine learning problems. His publications demonstrate expertise in both theoretical analysis (establishing convergence rates, lower bounds) and practical algorithm development across multiple prestigious venues including Journal of Optimization Theory and Applications, SIAM Journal on Optimization, and top machine learning conferences like NeurIPS. Gasnikov has received recognition including a bonus for publication in international peer-reviewed journals (2019-2021) and has served as a member of the editorial board of the 'Siberian Journal of Computational Mathematics' since 2017. As a supervisor, Gasnikov has guided multiple doctoral candidates, including Alexander Ogaltsov, Titov A. A. (2023), and Tyurin A. I. (2020) for Candidate of Sciences degrees, and Dvurechensky P. E. (2020) for a Doctor of Science degree. His research has been supported by grants from the President of Russia (MD-1320.2018.1) and the Russian Foundation for Basic Research (18-31-20005 mol_a_ved). Gasnikov's work contributes significantly to the theoretical foundations of optimization algorithms that power modern artificial intelligence systems. His leadership in the International Laboratory of Stochastic Algorithms and Multidimensional Data Analysis positions him at the forefront of research connecting mathematical optimization with practical applications in machine learning and data science.

• Artificial Intelligence
• Machine Learning
• Data Analysis
• +12 more

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.

• mathematical economics
• optimal control
• mathematical modeling
• +3 more

Nikolay Petrovich Pilnik serves as Deputy Dean for Project Work and Interaction with Partners at the Faculty of Economic Sciences of the National Research University Higher School of Economics (HSE) in Moscow. He also holds positions as Deputy Head of the Department of Applied Economics and Senior Research Fellow at the Scientific and Educational Laboratory of Macrostuctural Modeling of the Russian Economy. With over 16 years of scientific and teaching experience, Pilnik has been working at HSE since 2009 and is a member of the Academic Council of the university. Candidate of Economic Sciences (2012) Master's degree in Economics from HSE (2008) Bachelor's degree in Economics from HSE (2006) Pilnik's research focuses on mathematical economics, optimal control, mathematical modeling of economic mechanisms, simulation modeling, and macroeconomics. His work demonstrates a strong emphasis on dynamic general equilibrium models, banking system analysis, and macroeconomic forecasting. He has developed specialized models for analyzing Russian economic systems, particularly in the banking sector, and has contributed significantly to understanding the relationship between monetary policy and banking indicators. His recent publications (2019-2025) reveal a consistent research trajectory in mathematical economics and macrostructural modeling. The articles predominantly focus on general equilibrium modeling, banking system dynamics, optimal control applications in economics, and spatial market analysis. A significant portion of his work examines the Russian banking system's response to monetary policy changes, particularly regarding the Bank of Russia's key rate. Honorary Diploma of the Faculty of Economic Sciences (January 2024) Medal "Recognition - 15 years of successful work" (December 2022) Multiple Academic Work Allowances (2011-2018) Consistently recognized as "Best Teacher" (2012-2023) Pilnik has supervised several graduate students working on topics related to macroprudential policy, budget rules, spatial market equilibrium, and banking sector dynamics. He has participated in numerous research grants, including projects funded by RFBR, RGNF, and RSF, focusing on mathematical modeling of economic systems, financial balance monitoring, and general equilibrium modeling. Pilnik is also actively involved in the Laboratory of Macrostuctural Modeling of the Russian Economy, where he contributes to ongoing research and forecasting projects related to the Russian economy.