جست‌وجوی استاد و پژوهشگر

• 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.

• Information Systems Architecture
• Design Patterns
• Object-Oriented Programming
• +۵ مورد دیگر

Sergey Aleksandrovich Videnin is an Associate Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE University) since 2022. His academic background includes a Candidate of Pedagogical Sciences degree (2010) and extensive professional experience in both academia and industry. Prior to joining HSE, he served as Deputy Director of the IT Education Development Center at Moscow Institute of Physics and Technology (2021-2022) and as Head of the Department of Information Systems at Siberian Federal University (2010-2021). Videnin's educational background includes graduation from Krasnoyarsk State Pedagogical University named after V.P. Astafyev in 2005 with a specialty in "Informatics with an additional specialty in pedagogy-psychology" and qualification as a "Teacher-psychologist." He has completed numerous professional development courses in educational technologies, digital transformation of education, and software engineering from HSE University, Siberian Federal University, and other institutions between 2011 and 2025. His research interests span information systems architecture, design patterns, object-oriented programming theory, theoretical foundations of programming, programming languages, and application software. Videnin has made significant contributions to educational technology, particularly in implementing active learning methods in programming education within the CDIO (Conceive-Design-Implement-Operate) engineering education framework. Videnin's recent publications demonstrate a strong focus on the intersection of software engineering principles and educational practices, with particular attention to practical applications in real-world contexts including real estate market analysis, biological image processing, and industrial process control. His work shows a consistent trend toward developing practical solutions that bridge theoretical concepts with tangible applications across diverse domains. Gratitude from the Department of Software Engineering, HSE (November 2023) Best Teacher - 2023-2025 High professional potential group (HSE personnel reserve) Category "New teachers" (2023) Winner of the All-Russian competition "League of Lecturers" organized by the Russian society "Knowledge" (May 2023) Videnin has been actively involved in teaching various computer science courses including Software Design, Computer System Architecture, Operating Systems, and Java Programming. He has participated in significant research projects funded by RFBR, the Ministry of Education RF, and RSF, focusing on information systems architecture, digital transformation of education, and industrial process control. His work demonstrates a strong commitment to both theoretical research and practical applications in software engineering and educational technology.

• Information systems in economics and management
• Logic programming
• Programming teaching methods
• +۵ مورد دیگر

Irina Nikolaevna Lesovskaya is an Associate Professor in the Department of Software Engineering at the Faculty of Computer Science, National Research University Higher School of Economics (HSE). She began her tenure at HSE in 2004 and has accumulated 41 years of scientific and teaching experience. Her academic journey spans multiple institutions including the N.E. Zhukovsky Air Force Engineering Academy, MATI, and MISiS, where she served as Associate Professor before joining HSE. Beyond her faculty position, she has held significant administrative roles as Deputy Dean of both the Faculty of Business Informatics and the Faculty of Business and Management. Lesovskaya earned her Candidate of Technical Sciences degree in 1992 and completed her undergraduate studies at the Kiev State Institute of Culture in 1980, specializing in Library Science and Bibliography. Her professional development includes extensive advanced training, with recent courses in 2024-2025 focused on software engineering education and pedagogical excellence in computer science teaching. She has also completed English language training at HSE at both Pre-intermediate and Intermediate levels. Her research interests center on information systems in economics and management, logic programming, programming teaching methods, and analysis of educational programs. She has made significant contributions to computer science education through the development of curricula and teaching materials aligned with the Federal State Educational Standards. Her work bridges theoretical computer science with practical educational applications, particularly in secondary and higher education contexts. Lesovskaya's publication record demonstrates a consistent focus on computer science education, programming methodologies, and information systems. Her recent work shows increasing emphasis on software engineering education and innovative teaching approaches, while her earlier publications reflect expertise in information retrieval systems and library science. She has contributed to numerous educational materials for state examinations and has developed comprehensive programs for grades 10-11 at the HSE Lyceum. Medal "Recognition - 15 years of successful work" of HSE (February 2020) Honorary Diploma of HSE (November 2013) Honorary Diploma of HSE (December 2012) Gratitude from HSE (November 2007) Medal "For Labor Valor" of the Ministry of Defense of the Russian Federation (April 2004) Throughout her career, Lesovskaya has been actively involved in educational innovation projects including the HSE Internet School of Informatics (2015), development of entrance examination materials for HSE's bachelor's program in Informatics, and creation of comprehensive computer science programs for the HSE Lyceum. She has served as Coordinator of MicrosoftRUS Student Programs and Head of the Laboratory of Educational Innovations at the ITHub Academy, demonstrating commitment to practical student development and industry-academia collaboration. Lesovskaya maintains an active role in the HSE community, including consultation hours for students (particularly for the "Programming in C#" course) and participation in scientific seminars. Her work bridges academic research with practical educational implementation, making significant contributions to computer science education in Russia.

• Algorithms
• Information System Architecture
• Petri Nets
• +۵ مورد دیگر

Alexey Alexandrovich Mitsyuk serves as Associate Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE), where he also holds the position of Deputy Dean for Research and Senior Research Fellow at the Research and Educational Laboratory of Process-Oriented Information Systems (POIS). He has been working at HSE since 2013 with 12 years of scientific and teaching experience. Mitsyuk is also a member of the Academic Council of HSE. His educational background includes a PhD from HSE (2019) with a dissertation on "Correction of process models while preserving their structure based on event logs" and a specialist degree in Applied Mathematics from Moscow State Institute of Electronics and Mathematics (2009). He is actively involved in professional associations including IEEE Task Force on Process Mining and BPM Association. Mitsyuk's research focuses on process mining, Petri nets, software architecture, data visualization, and algorithms. His work bridges theoretical computer science with practical applications in software engineering and educational analytics. He has supervised numerous student theses across bachelor's and master's programs, with students completing research on topics ranging from software architecture analysis to process mining applications. His publication record shows consistent contributions to the field of process mining and software engineering, with recent work focusing on advanced visualization techniques, process model correction, and applications of process mining in educational and mobile contexts. His research demonstrates a clear progression from theoretical foundations of process modeling to practical applications in software development and education. Honorary certificate from HSE (May 2025) Gratitude from the Faculty of Computer Science (August 2022) Best teacher awards (2015-2025) High professional potential group (HSE reserve staff) Competition for best Russian-language scientific works (2024) Mitsyuk has coordinated research activities of the faculty, created new research groups, monitored grants, and analyzed publication activities. He led a student team that won first place in the BPI Challenge 2017 student category. His teaching includes courses on Software Systems Architecture and Mathematical Methods of Process Analysis in Software Engineering. He is actively involved in numerous conferences as committee member and reviewer, particularly in the fields of process mining and software engineering.

• Machine Learning
• Deep Learning
• Data Analysis
• +۳ مورد دیگر

Daniil Igorevich Burakov serves as a Research Intern at the Research and Educational Laboratory of Big Data Analysis Methods within the Institute of Artificial Intelligence and Digital Sciences, and as an Assistant in the Department of Software Engineering at the Faculty of Computer Science, National Research University Higher School of Economics (HSE). He joined HSE in 2024 and holds an office at Pokrovsky Boulevard, 11, S801. His professional profile integrates academic teaching with active research in computational methods for healthcare applications. Education: Bachelor's degree in Software Engineering (2023), National Research University Higher School of Economics Burakov specializes in machine learning with emphasis on medical applications, evidenced by his publication on mortality prediction in cardiac patients. His teaching portfolio spans core computer science subjects including Machine Learning, Deep Learning, Data Analysis, and Computer Architecture across multiple degree programs. His research leverages KAN models and neural networks to solve clinical problems, bridging theoretical AI with practical healthcare outcomes. His single verified publication demonstrates focus on applying machine learning to cardiovascular medicine, indicating emerging expertise in medical AI. Burakov's work shows strong alignment with HSE's Institute of Artificial Intelligence and Digital Sciences priorities in healthcare analytics. Awards: Allowance for young teachers of the Faculty of Computer Science from among graduates (2024-2025) Burakov actively contributes to academic instruction while developing research in predictive healthcare analytics. His teaching responsibilities include foundational courses in Python programming, mathematical methods for data analysis, and specialized machine learning curricula for both Software Engineering and Information Security programs. He operates within HSE's Research and Educational Laboratory of Big Data Analysis Methods, which focuses on advanced computational techniques for complex data systems.

• 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.

• Computer Science
• Video Coding
• Drone Technology
• +۵ مورد دیگر

Evgeny Belyaev is a Research Fellow at ITMO University's International Laboratory 'Computer Technologies'. Holding dual degrees as Candidate of Science in technical sciences (Russia, 2009) and Doctor of Technology (Tampere University of Technology, Finland), he specializes in video coding, drone-based infrastructure inspections, and vehicular communication systems. Education: Candidate of Science (Technical Sciences, 2009, Russia), Doctor of Technology (Tampere University of Technology, Finland) His research focuses on video coding , drone inspections , and real-time transmission systems , with applications in road surveillance and infrastructure monitoring. Key contributions include iterative aerial map construction techniques and robust video transmission protocols. Scientific achievements include the Grand Video Compression Challenge award (2013), multiple IEEE Exemplary Reviewer recognitions (2013, 2015, 2016), and a Best Paper Award (2011). He has authored over 40 publications and holds 4 patents.

• Artificial Intelligence
• Machine Learning
• Strong AI
• +۳ مورد دیگر

Semyon Kraev is a Researcher at ITMO University , affiliated with the Artificial Intelligence Technologies Faculty . He serves as the Lead Engineer at the Research Center “Strong AI in Industry,” focusing on advanced AI technologies for industrial applications. Research Interests: His work spans Artificial Intelligence , Machine Learning , and Deep Learning , with a particular emphasis on integrating Strong AI into industrial systems. His research aligns with the development of cutting-edge AI solutions for real-world challenges in the manufacturing and technology sectors. Labs & Teams: He is actively involved in the Research Center “Strong AI in Industry,” contributing to collaborative projects that bridge theoretical AI advancements with practical implementations.

• Computer Science
• Software Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Dmitry Muromtsev is an Associate Professor at the Faculty of Software Engineering and Computer Systems of ITMO University . With a PhD degree and active academic affiliation, he contributes to research and education in computer science disciplines. His work aligns with modern trends in software engineering and digital systems development. Institution: ITMO University Faculty: Software Engineering and Computer Systems Email: mouromtsev@itmo.ru Phone: +7 (812) 233-33-80

• Adaptive Control
• Robust Control
• Nonlinear Systems
• +۳ مورد دیگر

Vladimir Nikiforov is the Vice Rector for Research at ITMO University and a Professor at the Faculty of Control Systems and Robotics. He serves as editor-in-chief of the Scientific and Technical Journal of Information Technologies, Mechanics and Optics (Scopus-cited) and chairs the Academic Degree Council. His career spans over three decades at ITMO University, transitioning from researcher to professor and administrative leadership. Education: BSc in Electrical Engineering (1986), Leningrad Institute of Fine Mechanics and Optics (now ITMO University) PhD (1991), thesis: 'Adaptive control of trajectory motion of electro-mechanical systems' DSc (2001), thesis: 'Adaptive and robust control with compensation of external disturbances' Nikiforov's research focuses on adaptive and robust control systems , particularly for nonlinear systems, spark ignition engines, and ship propulsion systems. His work includes high-precision control algorithms, disturbance compensation, and stability analysis in multivariable systems. He has contributed to theoretical advancements in backstepping design, high-order tuners, and regressor extension techniques. Part-time roles include: Senior Researcher at the Institute of Problems of Mechanical Engineering (1993-1994, 2000-2005), Associate Professor at St. Petersburg University of Printing Industry (1994-1997), and Technical Director at LOMO Company (2004-2013). His recent publications emphasize adaptive control frameworks with dynamic regressor extension and memory regressor techniques. Key projects include computer-based control systems for ship screw-propeller motors, adaptive compensation of external disturbances, and digital control for brushless DC motors in mechatronic systems.

• Philosophy of Culture
• Intercultural Interaction
• Culturology
• +۴ مورد دیگر

Irina Tolstikova is an Associate Professor at ITMO University , with a focus on philosophy of culture and intercultural interaction. She has held academic roles at the Department of Philosophy and Culturology and currently serves as a Lead Engineer at the Research Laboratory for Computer-Aided Design of Optical-Information and Energy Saving Systems. PhD holder Teaches courses in culturology, business etiquette, ethics, and St. Petersburg culture Her research spans cultural philosophy, ethics, and corporate identity, informed by her long-standing academic engagement at ITMO University since the 1980s. Scientific Awards Honored Worker of Higher Education of the Russian Federation (2004) Medal of St. Tatiana 'Youth Instructor' (2010) Tolstikova has authored over 60 scientific and educational works, contributing to disciplines ranging from cultural studies to professional ethics. She remains actively affiliated with ITMO University's research and educational initiatives.

• Food Engineering
• Resource-Saving Technologies
• Hydromechanical Processes
• +۳ مورد دیگر

Elena Verboloz is a Professor at ITMO University's Faculty of Food Engineering and Automatization, affiliated with the Department of Production Machines and Equipment. She has held leadership roles including Dean of the Faculty (2008-2014) and Head of the Department (2014-2017). Defended DSc thesis (2006) on resource-saving fish product technologies Granted professorial title (2007) and associate professor title (1996) Received honors degree in food production machines from Leningrad Technological Institute of Refrigeration (1984) Her research focuses on optimizing hydromechanical and thermal processes in food manufacturing, including cavitation-based technologies and energy-efficient systems. She has pioneered studies in: Cavitation destruction mechanisms Nanotechnology applications in food processing Hydraulic/pneumatic system design Structural property control in grinding Publications demonstrate sustained contributions to food technology, with 27 peer-reviewed papers and three Scopus-indexed collaborations. Awards include recognition as Honored Worker of Higher Education (2011) and industry commendations for process optimization expertise. Supervised 3 PhD and 6 Master's students Held leadership roles in academic administration Developed 7 patented technologies

• Discrete Mathematics
• Combinatorics
• Combinatorics on Words
• +۴ مورد دیگر

Valeria Orlanovna Kirova is a Research Fellow at the National Research University Higher School of Economics (HSE University), working within the Faculty of Computer Science, Institute of Artificial Intelligence and Digital Sciences, and the Research and Educational Laboratory of Big Data Analysis Methods. She joined HSE in 2020 and holds a Candidate of Physical and Mathematical Sciences degree from Lomonosov Moscow State University (2024), following her Master's (2019) and Bachelor's (2017) degrees from National Research Tomsk State University. Her educational background includes: Candidate of Physical and Mathematical Sciences (PhD equivalent), Lomonosov Moscow State University, 2024 Master's degree in Mathematics, National Research Tomsk State University, 2019 Bachelor's degree in Mathematics and Computer Science, National Research Tomsk State University, 2017 Dr. Kirova specializes in discrete mathematics and combinatorics, with particular expertise in combinatorics of symbolic sequences, combinatorial geometry, and applications of these mathematical frameworks to artificial intelligence and biological sequence analysis. Her research bridges theoretical mathematics with practical applications, especially in neuroscience and hydrobiology. She teaches Mathematics for Data Analysis at both undergraduate and graduate levels at HSE University. Her publication record shows a strong focus on combinatorial complexity functions, symbolic sequences, and geometric properties of discrete structures. Her recent work demonstrates increasing interdisciplinary applications, particularly in AI methods for neuroscience (as part of the 'Next-Generation Cognitive AI' grant project) and hydrobiology (for biodiversity analysis and zooplankton classification using interpretable computer vision). Dr. Kirova has presented her research at numerous national and international conferences, including the IV Conference of Russian Mathematical Centers (2024), Numeration 2023 conference at University of Liège, and the International Lomonosov Conference (2023). She has also lectured at scientific schools on modern combinatorics and AI. She has been actively involved in research collaborations, serving as a Research-engineer at HUAWEI Russian Research Center (December 2021-April 2024), where she analyzed state-of-the-art approaches for photo and video processing. Additionally, she serves as an expert for the working group developing the Federal Law 'On the Regulation of Artificial Intelligence Systems in the Russian Federation'.

Denis Vladimirovich Kapulinمشاهده پروفایل

دانشیار

• Space Instrumentation
• Satellite Navigation Systems
• Radio-Electronic Equipment Design
• +۴ مورد دیگر

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.

• Optical Devices
• Thermal Physics
• Molecular Physics
• +۹ مورد دیگر

Vladimir Vasilyev is a Professor and holds the position of Chair of ITMO University's Academic Council. He served as Rector of ITMO University from 1996 to 2017 and previously as First Vice Rector starting in 1993. He is a Doctor of Science (DSc) and a leading figure in optical devices, thermal physics, and information technologies. He founded the Department of Information Technology at ITMO University, a key driver behind its recognition as the world's only seven-time ICPC champion. His research interests span optical fiber technology, telecommunication systems, internet development in Russia, digital education, and the informatization of higher education. He has pioneered federal computer systems like RUNNet and advocated for unified scientific and educational information spaces across Russian universities. Vladimir Vasilyev is a corresponding member of the Russian Academy of Education (2008) and the Russian Academy of Sciences (2011), and actively participates in national science and digital policy. He serves on the board of directors of ITMO Highpark and chairs the Human Resources section of the Council for the Development of the Digital Economy under the Federation Council. He has received numerous scientific and state honors, including the Russian Government Award, President’s Award, Order of Honor, Order "For Merit to the Fatherland", and the title of Honored Worker of Science and Education. He has supervised major national IT projects and advised governmental bodies, including the Russian Ministry of Science and Higher Education, the State Council, and the Science and Engineering Council of St. Petersburg. He also chaired the Board of St. Petersburg Rectors from 2004 to 2017. He is a member of editorial boards of several science and engineering journals and serves as honorary consul of Uruguay in St. Petersburg since 2018.