جست‌وجوی استاد و پژوهشگر

• 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.

• 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.

Vladimir Ulyantsevمشاهده پروفایل

دانشیار

• Bioinformatics
• Metagenomics
• Comparative Metagenomics
• +۶ مورد دیگر

Vladimir Ulyantsev is an Associate Professor at the Faculty of Information Technologies and Programming, ITMO University, where he leads the International Laboratory 'Computer Technologies' and the Discrete Optimization and Formal Methods Lab. He earned his PhD in 2015 (title: 'Finite-State Machine Synthesis Using SAT and CSP Solvers') after completing his Bachelor’s (2011) and Master’s (2013) degrees in the Department of Computer Technologies at ITMO University. His research spans bioinformatics, combinatorial optimization, and computational methods for finite-state machine synthesis. Key contributions include developing software tools like MetaFast and MetaCherchant for metagenomic analysis, and advancing genetic algorithms for demographic history inference (GADMA/GADMA2). He has secured multiple grants from Russian scientific foundations and leads interdisciplinary collaborations, including a partnership with Aalto University, Finland, from 2016-2019. His 15 most recent publications (2012-2025) focus on metagenomics, SAT solvers, evolutionary algorithms, and bioinformatics applications in oncology and disease diagnostics. He has supervised 25+ student theses, including Ekaterina Noskova’s PhD on demographic history inference. He contributes to academic governance as a member of ITMO University’s scientific, technical, and academic councils.

• convex optimization
• stochastic optimization
• probability theory
• +۳ مورد دیگر

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 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.

• Automatic text analysis
• Information search
• IT project management
• +۲ 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).

• History and philosophy of science
• Philosophy and medicine
• Epistemology of virtues
• +۷ مورد دیگر

Anastasia Valerievna Ugleva is a Professor at the School of Philosophy and Cultural Studies within the Faculty of Humanities at the National Research University Higher School of Economics (HSE University). She also serves as a Leading Researcher at the St. Petersburg School of Humanities and Arts, where she works in the Laboratory of Critical Theory of Culture. With over 20 years of academic experience since joining HSE in 2005, she has established herself as a prominent scholar in philosophy, ethics, and the intersection of AI and medicine. Her educational background includes: PhD from University Paris IV (2011), specialty: Natural Sciences, dissertation on "L'État face to the question of universities: comparative analysis of university politics in Russia and France" Academic title of Associate Professor (2010) Candidate of Philosophical Sciences from Lomonosov Moscow State University (2004), specialty: "History of Philosophy", dissertation on "Ontology of power in modern French philosophy" Specialist degree in Philosophy from Lomonosov Moscow State University (2001), qualification: "Philosopher. Teacher of Philosophy" Professor Ugleva's research spans the history and philosophy of science, philosophy and medicine, epistemology of virtues, bioethics, history of ethics and moral concepts, and socio-humanitarian and ethical expertise. Her work particularly focuses on the ethical implications of artificial intelligence in healthcare, moral philosophy, and the philosophical foundations of education. She has made significant contributions to understanding the intersection of technology, ethics, and human values. Her recent publications reveal a strong trend toward AI ethics, particularly in medical applications. She has developed an "Ethics Index" for AI systems in medicine, exploring how to balance technological innovation with ethical considerations. Her work bridges historical philosophical traditions (particularly Enlightenment thought and Condorcet's ideas) with contemporary technological challenges, creating a unique interdisciplinary approach to ethical questions in the digital age. Professor Ugleva has received numerous accolades for her contributions: Honorary title "Honored Worker of the Education Sector of the Russian Federation" (2022) Medal "Recognition - 15 years of successful work" from HSE University (2020) Multiple Letters of appreciation from HSE University and its Faculty of Humanities Designation as "Best Teacher" for 2011-2013 Academic work bonuses and publication bonuses spanning multiple years As an advisor, Professor Ugleva has mentored numerous students, including six PhD candidates and several master's and bachelor's students whose theses have won awards in HSE's NIRS competition. Her research is supported by various grants, including individual grants from HSE's Faculty of Philosophy and collective grants from HSE's Center for Fundamental Research. She is currently involved in the HSE AI Research Center's project on ethical expertise in AI, serving as head of the working group "Ethics of AI in Education." Professor Ugleva leads research activities at the Laboratory of Critical Theory of Culture in St. Petersburg and serves as HSE Ethics Commissioner for the Alliance in the field of Artificial Intelligence. She is also a member of the Commission for the Implementation of the Code of Ethics in the Sphere of Artificial Intelligence.

• Databases
• Software Engineering
• Data Warehousing
• +۶ مورد دیگر

Breiman Alexander Davidovich is an Associate Professor at the Department of Software Engineering, Faculty of Computer Science at the National Research University Higher School of Economics (HSE) in Moscow. He began working at HSE in 2010 and has 30 years of scientific and teaching experience. Previously, he served as an Associate Professor at the Department of Personal Computers and Networks at the Moscow State University of Instrument Engineering and Informatics from 1994 to 2013. He also works as a Senior Lecturer at the Luxoft Training Center since 2013 and as Head of the IT Department at Titan Meta LLC since 1996. National Research University Higher School of Economics (2010-present): Associate Professor/Invited Lecturer Moscow State University of Instrument Engineering and Informatics (1994-2013): Associate Professor Luxoft Training Center (2013-present): Senior Lecturer Titan Meta LLC (1996-present): Head of IT Department His educational background includes a Candidate of Technical Sciences degree (equivalent to PhD) from Moscow State Academy of Instrument Engineering and Computer Science in 1998, with a dissertation on "Database software for training systems with multimedia elements," and a degree in Computer Science from Moscow Institute of Instrument Engineering in 1994, specializing in "Computers, Complexes, Systems and Networks." Professor Breiman's research focuses on databases, software engineering, data warehousing, information systems, and knowledge engineering. His work spans theoretical database design, practical implementations of database systems, and educational applications of information technology. He has published extensively on database architecture, reliability engineering, and distributed systems, with a particular emphasis on practical applications in educational and business contexts. His teaching covers database systems, distributed databases, data warehouses, and advanced database topics across multiple programming languages and platforms. His publications reveal a consistent focus on database technologies, evolving from foundational database concepts to modern distributed and big data systems. He has explored specialized areas including embedded databases, social network analysis, process mining, and stream data processing systems, demonstrating both theoretical depth and practical application. Gratitude from the Faculty of Computer Science, HSE (July 2025) Best Teacher award (2021-2024) Best Teacher award (2016-2019) Best Teacher award (2013) Best Teacher award (2011) Professor Breiman has supervised numerous student theses at both bachelor's and master's levels, covering diverse topics in database systems, software engineering, and information systems. His students have developed applications ranging from distributed content delivery systems to health monitoring systems for diabetes patients. He teaches a variety of courses including Databases, Advanced Databases, Distributed Databases and Data Warehouses, and Database Construction, in both Russian and English. His teaching spans multiple campuses of HSE including Moscow, Perm, and Nizhny Novgorod. While not explicitly mentioning specific labs or research teams in the provided information, his work with students on practical implementations suggests active engagement with applied research projects, particularly in database technologies and their real-world applications.

• Probability Theory
• Mathematical Statistics
• Combinatorial Optimization
• +۲ مورد دیگر

Dr. Zhukova Galina Nikolaevna is an Associate Professor at the Department of Software Engineering , Faculty of Computer Science , National Research University Higher School of Economics (HSE), where she has worked since 2017. Her academic career spans 21 years, including prior roles at Moscow State University of Printing Arts and Moscow Polytechnic University. PhD in Physical and Mathematical Sciences (2004, Moscow State University of Printing Arts) Specialist in Applied Mathematics (1999, Moscow State University) Advanced training in software engineering pedagogy (2018–2025) Research Focus : Dr. Zhukova specializes in Probability Theory , Mathematical Statistics , and Combinatorial Optimization . Her work analyzes algorithm complexity distributions, develops hybrid exact methods for the Traveling Salesman Problem (TSP), and investigates symbolic sequence reconstruction under noise. She contributes to probabilistic modeling of computational efficiency and quantile-based complexity metrics . Publication Trends : Her 15 most recent articles focus on TSP complexity prediction , noise-resistant sequence reconstruction , and hybrid algorithm design for asymmetric problems. These combine probabilistic modeling , statistical analysis , and computational efficiency studies , with applications in optimization and data processing. Gratitude from HSE Software Engineering Department (2023) Gratitude from HSE Faculty of Computer Science (2019) Selected for HSE Personnel Reserve (High Professional Potential Group) Recognized under 'New Teachers' category (2018) Teaching Contributions : Dr. Zhukova delivers courses on Operations Research , Mathematical Analysis , and Algebra in Python . She designs practical Python-based curricula for software engineering students and teaches minors in Applied Linear Algebra for the Faculty of Economic Sciences.

• Software Engineering
• Formal Methods in Software Development
• Verification and Validation of Operating Systems
• +۲ مورد دیگر

Viktor Vyacheslavovich Kulyamin is an Associate Professor at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE), affiliated with the Basic Department 'System Programming' of the Institute for System Programming (ISP RAS). With 25 years of scientific and teaching experience , he has been actively contributing to HSE since 2015. Education: 1995: Specialist in Mathematics (Applied Mathematics) from Lomonosov Moscow State University 2000: Candidate of Physical and Mathematical Sciences 2009: Academic Title of Associate Professor His research interests span software engineering , formal methods , verification and validation of operating systems, and security policy modeling . His recent publications focus on dynamic software analysis , runtime verification , multi-level security models , and formal testing techniques , reflecting a deep engagement with automated testing and system validation frameworks. Teaching : He has consistently taught Quality Assurance and Testing in the Software Engineering program at HSE since 2020, covering topics such as test construction , model-based testing , and system conformance . Professional Affiliation : Since 1998 , he has worked at the Institute for System Programming of the Russian Academy of Sciences , becoming a leading research fellow by 2014. He also held positions at Moscow State University's Department of System Programming (Senior Lecturer: 2008, Associate Professor: 2009).

• Algorithm Analysis
• Complex Networks
• Supercomputer Modeling
• +۳ مورد دیگر

Klavdiya Bochenina is a Researcher and engineer at ITMO University's National Center for Cognitive Research, where she has worked since 2013. She previously served as an assistant and senior lecturer at Vladimir State University from 2008 to 2013. Education: 2008 – BSc in Applied Mathematics and Computer Science from Vladimir State University; 2014 – PhD in Engineering. Advanced Training: Participated in the 4th International Young Scientists Conference and Summer School in Computer Modeling and Simulation (YSC 2015) in Athens, Greece. Teaching: Instructs courses in Algorithm Analysis and Development, and Machine Learning Technologies. Her research interests focus on algorithm design, computational modeling of complex systems, and high-performance computing. She actively applies parallel and distributed computing techniques to analyze critical phenomena in complex networks , while integrating machine learning methodologies into her work. Her professional activities bridge theoretical research and practical implementation in computational sciences. Contact details: kbochenina@itmo.ru | Homepage

• High-performance planning models
• Mathematical modeling (linear/integer programming)
• Information & Communication Systems
• +۷ مورد دیگر

Tatiana Zudilova is an Associate Professor at the Faculty of Infocommunication Technologies and Deputy Director of the IT Education Center at ITMO University. With over 30 years of experience, she leads Russia's first International Authorized Training Center for Information Technologies, collaborating with global IT giants like Microsoft, Oracle, Cisco, and IBM.

• automata theory
• formal languages
• information technology in education
• +۳ مورد دیگر

Ilya Yuryevich Samonenko serves as Associate Professor at the Department of Big Data and Information Retrieval within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE University). He holds dual administrative roles as Deputy Dean for Academic and Methodological Work for the Faculty of Computer Science and Director of the Center for organizing student training for top specialists in the field of artificial intelligence. Samonenko joined HSE University in 2018 and brings 11 years of scientific and teaching experience to his position. His educational background includes a Candidate of Sociological Sciences degree from Moscow State Technological University 'Stankin' (2009) and a Mathematics specialty from Lomonosov Moscow State University (2006), where he also completed additional qualifications as a Specialist in theoretical computer science (2005), Higher education teacher (2011), and Management in Education (2017) from Moscow State Pedagogical University. Samonenko's research spans automata theory , formal languages , information technology in education , and social graph analysis . His scholarly work demonstrates a clear trajectory from theoretical computer science toward applications in educational contexts and organizational structures. He has published extensively on automata theory, face recognition, and the application of social graph analysis to organizational efficiency. His 14 publications over two decades reveal a research evolution from pure theoretical computer science toward more applied work in educational technology and organizational analysis. His recent work focuses on social graph structure in organizations, academic performance analysis using educational data, and the application of formal language theory to practical problems. Letter of gratitude from the Vice-Rector of HSE University (October 2024) HSE University Honorary Diploma (October 2022) Letter of gratitude from the Director of the HSE Lyceum (August 2022) Honorary Diploma from the Higher School of Economics (June 2020) Participant of the Administrative Personnel Reserve program (2019–2020) Best Academic Supervisor in the category 'Student Engagement in Intercampus and Interfaculty Interaction' - 2024 Best Academic Supervisor in the International Student Admissions category – 2024 As Deputy Dean, Samonenko coordinates educational programs, participates in accreditation processes, develops regulatory documents for the educational process, and oversees faculty initiatives. He coordinates interaction between the faculty and both the HSE Lyceum and the general education system. Notably, he was featured in university news as one of the first couples to have a wedding at the Durasov House on Pokrovsky Boulevard, part of the HSE University campus. Samonenko teaches core computer science courses including Algorithms and Data Structures, Python Programming Language, and Programming and Data Analysis in Python across multiple departments at HSE University. His teaching spans the Faculty of Computer Science, Faculty of Economic Sciences, and Faculty of Social Sciences.