Alexander Alexandrovich Kharlamov serves as a Professor at the National Research University Higher School of Economics (HSE), specifically within the Faculty of Computer Science and Department of Software Engineering. He joined HSE in 2015 and has accumulated 42 years of scientific and teaching experience. His academic profile includes prominent identifiers such as ORCID: 0000-0003-2942-5101, ResearcherID: E-3760-2014, and Scopus AuthorID: 57193909855. He maintains an office at the Pokrovsky Boulevard campus (AUK "Pokrovsky Boulevard", Pokrovsky blvd, 11, office S913) and serves as the Editor-in-chief of the journal "Speech Technologies" since 2008. Doctor of Technical Sciences (2010) from Moscow State Institute of Electronics and Mathematics Candidate of Technical Sciences (1983) from Moscow State Technical University named after N.E. Bauman Postgraduate study (1980) at Moscow State Technical University named after N.E. Bauman Mathematics degree (1976) from Lomonosov Moscow State University Thermal Physics degree (1970) from Moscow Power Engineering Institute Professor Kharlamov's research focuses primarily on neuroinformatics, with significant contributions to neural networks, semantic representations, and intelligent information systems. His work bridges computational approaches with cognitive modeling, exploring how semantic networks can be used for text analysis, speech recognition, and situation monitoring. His research interests span both theoretical foundations of neuroinformatics and practical applications in areas such as social media analysis, smart city development, and digital transformation. He has developed the TextAnalyst technology for automatic semantic analysis of text and has made significant contributions to understanding how humans process information through neural network models. His recent scholarly output demonstrates a clear trajectory toward multimodal systems, digital transformation in urban environments, and advanced semantic analysis techniques. The publications reveal a consistent focus on applying neuroinformatics principles to real-world problems, particularly in analyzing social dynamics through digital footprints, developing intelligent monitoring systems, and creating semantic frameworks for information processing. His work increasingly addresses contemporary challenges such as pandemic response, social stress analysis, and digital conflict zones, showing adaptability to emerging societal needs while maintaining theoretical rigor. Corresponding Member of the International Academy of Informatization (1994) Professor Kharlamov has secured significant research funding through grants from the Russian Foundation for Basic Research (No. 14-06-00363) and the Russian Humanitarian Science Foundation (No. 15-03-00860). His research leadership spans decades, with documented projects from 1996 to present, covering areas such as neural network modeling, speech recognition systems, semantic analysis technologies, and intelligent information systems. He has served as principal investigator for numerous projects, often collaborating with institutions like IITP RAS and Bauman Moscow State Technical University. His teaching portfolio includes advanced courses in neuroinformatics, neuromathematics, and neural network theory for both bachelor's and minor programs at HSE. As Editor-in-chief of the journal "Speech Technologies" since 2008, Professor Kharlamov has shaped discourse in his field while continuing his own research on semantic networks and neural modeling. His work on homogeneous semantic networks represents a significant contribution to the field, providing frameworks for text analysis, situation monitoring, and knowledge representation. The integration of his theoretical work on neural networks with practical applications in information systems demonstrates a career-long commitment to bridging theoretical computer science with real-world implementation challenges.
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Makarov Sergey LvovichView profile
Associate Professor
Sergey Lvovich Makarov serves as an Associate Professor in the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE), where he has been employed since 2012. With 21 years of scientific and teaching experience, he holds formal academic credentials including a Candidate of Technical Sciences degree (awarded in 2009) from the Moscow State Institute of Electronics and Mathematics, specializing in Automated Design Systems. His research interests span software engineering, artificial intelligence, mobile development, Internet of Things technologies, automatic text processing, and an unusual interdisciplinary focus on fashion informatics where he applies computational methods to analyze symbolic systems in costume design. This dual expertise is reflected in his publications that bridge technical computer science with applications in fashion industry analysis. Makarov's scholarly output demonstrates a consistent trajectory from foundational work in intelligent information processing systems toward increasingly sophisticated applications in mobile development, IoT ecosystems, and fashion data analysis. His recent publications (2018-2023) focus heavily on practical hardware-software integration through Arduino and Raspberry Pi platforms, while maintaining his distinctive research thread analyzing symbolic systems in fashion design through computational methods. Gratitude from HSE University (May 2024) Gratitude from the Department of Software Engineering, HSE (November 2023) Medal 'Recognition - 10 years of successful work' (December 2022) Gratitude from the Faculty of Computer Science, HSE (September 2019) Academic Work Allowance (2014-2018) As an educator, Makarov supervises student research including Potapenko Vladimir Andreevich's 2013 qualification work on CRM system development. He has received multiple Academic Work Allowances recognizing his teaching excellence. His research includes significant grant-funded projects, notably serving as responsible executor for the R&D project 'Intelligent system for searching the Internet for information analogues of text documents' (2010-2011) and participating in research on decision support systems (2012). His scholarly contributions include numerous publications, research grants, and participation in conferences focusing on AI applications and intelligent systems. Makarov maintains active involvement in curriculum development, particularly in mobile application development and IoT technologies, as evidenced by his current teaching assignments for the 2025/2026 academic year which include specialized courses in Android development using both Kotlin and Java, Manufacturing Data Collection and Analytics, and IoT Ecosystems.
Nesterov Roman AleksandrovichView profile
Associate Professor
Roman Aleksandrovich Nesterov is an Associate Professor at the Department of Software Engineering, Faculty of Computer Science, National Research University Higher School of Economics (HSE). He has been with HSE since 2015 and heads the Research and Educational Laboratory of Process-Oriented Information Systems (POIS). His educational background includes a PhD (2022) and Master's degree (2017) from HSE, both in Computer Science and Software Engineering. His research focuses on: Formal methods for distributed system modeling Petri nets and concurrency theory Process mining and event log analysis Multi-agent systems and business process modeling Compositional approaches to system verification His publications demonstrate consistent focus on process discovery algorithms, model verification techniques, and applications of Petri nets in distributed systems. Recent works emphasize hierarchical modeling and architecture-aware solutions for multi-agent environments. Awards and Honors: Golden HSE Prize 2019 (Silver Chick nomination) Multiple 'Best Teacher' awards (2020-2025) Research publication bonuses HSE Faculty of Computer Science Gratitude (2023) He leads the POIS laboratory where he conducts research on automated synthesis of multi-agent system models. His teaching includes undergraduate algorithms courses and graduate-level formal methods in software engineering.
Shershakov Sergey AndreevichView profile
Associate Professor
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.
Alexey Alexandrovich MitsyukView profile
Associate Professor
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.
Lyudmila RezunikView profile
Research Fellow
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.
Kasyanova Elena NikolaevnaView profile
Associate Professor
Kasyanova Elena Nikolaevna serves as Associate Professor in the Department of Engineering Graphics at Siberian Federal University's Institute of Mining, Geology and Geotechnology. Born in 1965 in Tsvetnogorsk, Krasnoyarsk Krai, she graduated from the Krasnoyarsk Institute of Non-Ferrous Metals in 1987 with a degree in Mineral Processing and has taught descriptive geometry, engineering graphics, and computer graphics for over three decades. Academic Background: 1987: Krasnoyarsk Institute of Non-Ferrous Metals (Mining Engineer-Beneficiator, Mineral Processing) 2002: Advanced training in "New Information Technologies for Training Specialists" 2010: Certificates in "Quality Management in Education" and "Project Management in Educational Activities" 2013: "Integration of Project Activities into Educational Process" certification 2017: "Management of an Educational Project" qualification Research Focus: Dr. Kasyanova's work bridges Engineering Graphics and Mining Engineering , with dual expertise in Mine Ventilation Systems (evidenced by three patents) and Educational Technology . Her recent scholarship explores student adaptation in technical disciplines, competency-based curriculum design, and digital integration in graphics education. She employs geometric modeling and computer-aided design to solve mining engineering challenges while innovating pedagogical approaches for first-year engineering students. Publication Trajectory: Analysis of her 31 publications reveals a strategic pivot from applied ventilation engineering (1999-2008) to educational methodology (2005-present). Her post-2010 work emphasizes electronic learning resources, with 60% of recent publications co-authored with colleagues like Morin and Gulidova. Key trends include standardization of technical documentation, spatial reasoning development, and adaptive learning systems for mining engineering graphics. Professional Collaboration: As core faculty in Engineering Graphics, she actively contributes to curriculum development and quality assurance processes. Her textbook series "Descriptive Geometry and Engineering Graphics" (2003-2016) demonstrates sustained collaboration with the department's pedagogical team, impacting thousands of students across Siberian Federal University's mining engineering programs.
Konstantinova Olga NikolaevnaView profile
Associate Professor
Konstantinova Olga Nikolaevna is an Associate Professor at the Department of Engineering Graphics within the Institute of Mining, Geology and Geotechnology at Siberian Federal University . With 38 years of professional experience since 1980, she specializes in Engineering Graphics , Mineral Processing , and Computer-Aided Design (CAD) . Education: Mining engineer-processor from Krasnoyarsk Institute of Non-Ferrous Metals (1980). Teaching: Descriptive geometry, engineering graphics, and computer graphics. Her research explores geometric modeling , mineral separation techniques , and CAD integration in education. Recent work focuses on projection drawing , design standardization , and educational technology for technical disciplines. She has co-authored textbooks on technical drawing and CAD applications , including electronic educational complexes. Her publications emphasize visualization , geometric modeling , and pedagogical innovation for mining and engineering students. Professional development includes training in information technologies (2010), project activities integration (2013), and educational project management (2017).
Breiman Alexander DavidovichView profile
Associate Professor
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.
Makarova Natalia ValentinovnaView profile
Senior Lecturer
Makarova Natalia Valentinovna is a Senior Lecturer at the Department of Engineering Graphics, Institute of Mining, Geology and Geotechnology, Siberian Federal University. Born in 1955 in Shishino, Kemerovo Region, she graduated from Tomsk Polytechnic Institute in 1978 with a degree in 'Gyroscopic Instruments and Devices', qualifying as an electromechanical engineer. She specializes in teaching descriptive geometry, engineering graphics, and geological drafting for mining disciplines. Her research focuses on engineering education methodologies , particularly in developing instructional resources for geological visualization and technical drawing. She has created textbooks, workbooks, and digital learning tools to enhance graphic literacy in mining engineering curricula. Publications emphasize pedagogical frameworks and geological representation techniques , with recent work (2018) addressing challenges in teaching graphic disciplines to mining students. Earlier publications include geological research on ore formation and practical guides for engineering graphics. Professional development includes a 2010 certification in Information Technologies in the Educational Process from Siberian Federal University.
Alexander Alexandrovich TrofimovView profile
Associate Professor
Alexander Alexandrovich Trofimov is an Associate Professor at the Department of Engineering Graphics within the Institute of Mining, Geology and Geotechnology at Siberian Federal University. Born on September 25, 1971, in Zaozerny, Krasnoyarsk Krai, he graduated from the Krasnoyarsk Institute of Non-Ferrous Metals in 1996 with a specialization in "Mining Machinery and Equipment," qualifying as a mining electrical engineer. He received his associate professorship in 2009 and has authored 30 scientific and educational works. Education Krasnoyarsk Institute of Non-Ferrous Metals (1996), Mining Machinery and Equipment, Mining Electrical Engineer Research Interests Professor Trofimov's research focuses on Engineering Graphics , Descriptive Geometry , and specialized applications in Mining and Geological Graphics . His work integrates pedagogical methods for technical education, computer-aided design, and geometric problem-solving in mining contexts. Recent investigations emphasize educational adaptations for engineering students and technological innovations in graphic instruction. Professional Development Integration of project activities of teachers into the educational process (Siberian Federal University, 2013) Management of an educational project (Siberian Federal University, 2017)
Dr. Antonina Begicheva is a Lecturer and Postgraduate Student at the Faculty of Computer Science , Department of Software Engineering of the National Research University Higher School of Economics (HSE) since 2014, with 10 years of combined scientific and teaching experience. She also works as a Research Intern at the Research and Educational Laboratory of Process-Oriented Information Systems (POIS) . Master's degree in Software Engineering (2022) Current postgraduate research on Extracting readable patterns from event logs Research Interests include: Process Mining and Business Process Analysis Mathematical Modeling with Finite State Machines and Petri Nets Model discovery from event logs and data patterns Publication Trends show expertise in: Process discovery algorithms Conformance checking techniques Import substitution strategies in software Simulation models for healthcare systems Scientific Recognition Recipient of the Young Teachers Allowance (2022-2023) Member of HSE's High Professional Potential Group (personnel reserve) Featured in CPHCATI-2024 and ICID 2022 conferences Teaching Responsibilities include C# Programming (undergraduate level) Requirements Engineering across multiple campuses Software Architecture Design and Economics of Software Engineering at the Faculty of Computer Science.