جستجوی استاد راهنمای دانشگاهی

• Analysis and transformation of programs
• Software Security
• Parallel and distributed computing technologies

Harutyun Ishkhanovich Avetisyan is a Professor and Head of the Basic Department "System Programming" at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE). He began his tenure at HSE in 2017 and brings 30 years of scientific and teaching experience to his role. Additionally, he serves as the Director of the Institute for System Programming of the Russian Academy of Sciences (ISP RAS), a position he has held since 2015. Avetisyan holds numerous prestigious academic distinctions, including being elected as an Academician of the Russian Academy of Sciences in 2019 and as a Corresponding Member in 2016. He earned his Doctor of Physical and Mathematical Sciences degree in 2012 and was awarded the academic title of Associate Professor in 2009. His educational background includes a specialty in "Applied Mathematics" from Yerevan State University (1993). His research focuses on three main areas: analysis and transformation of programs, software security, and parallel and distributed computing technologies. These interests are reflected in his extensive publication record and leadership in major research initiatives. His work bridges theoretical computer science with practical applications in cloud computing, secure data storage, and high-performance computing systems. Avetisyan's scholarly contributions demonstrate a consistent focus on system programming challenges, particularly in the areas of code analysis, optimization, and security. His recent publications indicate a growing interest in cloud computing paradigms, smart city infrastructure, and energy-efficient computing solutions. His research has significant implications for both academic theory and industrial applications in software development. Among his notable recognitions, Avetisyan was awarded the medal of the Order "For Merit to the Fatherland" 2nd degree in 2021 for his significant contributions to science and dedicated service. He also serves on the editorial boards of several prestigious journals including "Programming" (since 2015) and "Proceedings of the Institute for System Programming of the RAS" (since 2010). Throughout his career, Avetisyan has led and participated in numerous research grants funded by the Ministry of Education and the Russian Foundation for Basic Research. His professional trajectory shows steady progression from postgraduate studies (1997-2000) to research fellow (2000-2002), deputy director of ISP RAS (2002-2015), and ultimately director of the institute (2015-present). At HSE, Avetisyan teaches courses in parallel programming and mentor seminars for master's students in Software Engineering. His teaching philosophy emphasizes the integration of cutting-edge research with practical software development skills, preparing students for careers at the forefront of computer science.

Rodriguez Zalepinos Ramon Antonioمشاهده پروفایل

دانشیار

• distributed systems
• databases
• Big data
• +۶ مورد دیگر

Dr. Ramon Antonio Rodriguez Zalepinos is an Associate Professor at the Department of Software Engineering, Faculty of Computer Science, National Research University Higher School of Economics (HSE). With 16+ years of scientific and teaching experience, he specializes in geospatial data systems, distributed databases, and high-performance computing. Doctor of Science in Computer Science (2024) Candidate of Technical Sciences (2013) Master's in Computer Science (2008, Donetsk National Technical University) His research focuses on geospatial array databases , distributed systems , and Big Earth Data engineering , particularly through his ChronosDB and Quantum Tensor DBMS projects. He has pioneered cloud-native solutions for multi-terabyte environmental datasets and developed novel approaches for in-database road traffic simulations. Key publication trends show 7+ years of contributions to VLDB and SIGMOD conferences, with special emphasis on: Quantum-enhanced geospatial processing Web-based array database systems Cellular automata integration High-speed raster data aggregation Scientific recognition includes: Best Teacher award (2017-2021, 2023) HSE Personnel Reserve member Additional post-doctoral funding (2024-2027) Multiple publication bonuses (2019-2023) He supervises student research in geospatial data science and leads projects on satellite data processing systems, with implementations at major institutions including Amazon and Planet Labs.

• Social Sciences
• Environmental Science
• High Performance Computing
• +۳ مورد دیگر

Sergey Ivanov is a Senior Researcher at ITMO University (Saint Petersburg, Russia) and a Post Associate Professor at the Institute of Design & Urban Studies. His research focuses on simulating real-world processes in social and environmental science, utilizing high performance/distributed computing and complex systems modeling. Expertise: Social and environmental process simulation, complex systems, decision-making algorithms Projects: Early Warning System for St Petersburg Flood Protection Barrier Teaching: Courses in Discrete Mathematical Modeling, Discrete Decision Making, and Urban Informatics Scientific Recognition: Recipient of the President of Russia's grant for young scientists With over 50 publications and extensive experience in Russian and international projects, he contributes to computational science and urban systems research. Contact: svivanov@itmo.ru | Personal Homepage

• Virtual Reality
• Scientific Visualization
• Computer Graphics
• +۴ مورد دیگر

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.

• Computational Biology
• Bioinformatics
• Mass Spectrometry Data Analysis
• +۵ مورد دیگر

Attila Kertesz-Farkas is a Hungarian-born academic currently serving as Assistant Professor at the Faculty of Computer Science, Department of Data Analysis and Artificial Intelligence, at the National Research University Higher School of Economics (HSE) in Moscow. Since 2021, he has also been Head of the Research and Educational Laboratory of Artificial Intelligence for Computational Biology. He joined HSE in 2015 after completing postdoctoral positions at the University of Washington and the International Centre of Genetic Engineering and Biotechnology. His educational background includes: Doctor of Science (2022) from National Research University Higher School of Economics PhD (2010) from University of Szeged Master's degree in Computer Science (2004) from University of Szeged Kertesz-Farkas's research focuses on the intersection of artificial intelligence and computational biology, particularly in mass spectrometry data analysis. His work spans computational proteomics, human gait analysis, and medical applications of machine learning. He develops novel algorithms for peptide identification, protein classification, and single-cell analysis, with applications ranging from cancer research to environmental contamination analysis. His research group actively explores how deep learning can improve the analysis of biological data that is inherently non-human readable. His scientific contributions have been recognized with several awards including a Letter of thanks from the Rector of HSE (December 2022), a Letter of gratitude from the Faculty of Computer Science (September 2021), and the Best presentation award at ICMLC 2023 conference. As an academic supervisor, Kertesz-Farkas mentors multiple PhD students working on diverse projects including generative models for mass spectrometry data, human gait control systems for prosthetics, and deep learning applications for single-cell analysis. His research is supported by the allowance for defending a doctoral dissertation (2022-2025) and various research projects at HSE. He leads the Laboratory of Artificial Intelligence for Computational Biology, which focuses on developing AI methods specifically tailored for biological data analysis problems. The laboratory conducts research in computational proteomics, medical applications of machine learning, and the development of tools for mass spectrometry data interpretation.

• 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.

• 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.

• 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).

• 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
• binary code analysis
• network traffic analysis

Hetman Oleksandr Igorevich serves as an Associate Professor at the National Research University Higher School of Economics (HSE) within the Faculty of Computer Science and the Basic Department 'System Programming' affiliated with the Institute for System Programming named after V.P. Ivannikov of the Russian Academy of Sciences (ISP RAS). He began his tenure at HSE in 2018 and maintains additional appointments at ISP RAS since 2007 and Moscow State University's Computational Mathematics and Cybernetics faculty since 2016. His educational background includes: 2013: Candidate of Physical and Mathematical Sciences 2007: Master's degree in Applied Mathematics and Physics from Moscow Institute of Physics and Technology 2005: Bachelor's degree in Applied Mathematics and Physics from Moscow Institute of Physics and Technology Professor Hetman specializes in software engineering, binary code analysis, and network traffic analysis. His research demonstrates consistent focus on network security, traffic classification, and binary code analysis methodologies, with publications spanning from 2014 to 2021. His work shows progressive development from foundational research on data format recovery to sophisticated network traffic analysis systems. His teaching portfolio prominently features the 'Computer Networks and Telecommunications' course for Software Engineering Master's students across multiple academic years (2020-2026). He has secured multiple research grants from Russian funding bodies including RFBR (РФФИ) projects 12-01-31417, 14-07-00606, 15-07-07652, 16-29-09632 and RGNF (РГНФ) project 16-06-00830-ОГН. His professional activities indicate active engagement in both academic instruction and research leadership within Russia's computer science community, with publications appearing in reputable Russian academic journals and international computer science publications.

• 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.

Stepanov Igor Borisovichمشاهده پروفایل

استاد

• Radiation interaction with matter
• Condensed matter physics
• Charged particle accelerators
• +۳ مورد دیگر

Stepanov Igor Borisovich is a Doctor of Technical Sciences and Deputy Vice-Rector for Science and Strategic Projects at Tomsk Polytechnic University (TPU). With over 30 years of service, he has held key positions including Professor at the Department of Experimental Physics (2014-2016), Director of the Research School of High-Energy Physics (2017-2018), and Vice-Rector for Research and Innovations (2018-2020). His academic journey includes graduating with honors from TPU's Physics and Engineering Faculty in 1993, earning a PhD in 1999, and a Doctorate in 2011, both specializing in charged particle beam physics. Research Interests: His work spans radiation-matter interactions , condensed matter physics , particle accelerator design , and ion-plasma material modification . He develops technologies for radiation sources, surface engineering, and plasma diagnostics, with applications in materials science and nuclear engineering. Scientific Publications: Recent works focus on advanced betatron designs for high-resolution imaging (2017-2018), plasma-deposited coatings for tribological applications (2016-2017), and innovations in ion beam sources and diagnostics (2014). His publications consistently address precision instrumentation and materials enhancement. Awards and Honors: Honorary Worker of Science and Technology of the Russian Federation (2015) Gold/Silver medals: International Salon of Innovations (x2), High Technologies Exhibition Certificates of Honor: Ministry of Education (2011), Tomsk Region (2017), Tomsk City (2008) Anniversary medals: 400 Years of Tomsk (2004), 100 Years of TPU (2000) Teaching and Mentorship: Supervised postgraduate, bachelor's, and master's students at TPU. Co-authored two textbooks on physics and plasma applications. Laboratory Leadership: Headed the Center for Measuring Material Properties (2002-2011) and contributed to the Nuclear Physics Research Institute , driving advancements in ion-beam processing and non-destructive testing.

• Data-driven management
• Marketing analytics
• Strategic alliances
• +۳ مورد دیگر

Sergey Alexandrovskiy is Associate Professor at the National Research University Higher School of Economics (HSE University) and has served since 2020 as Director of the HSE Business School in Nizhny Novgorod. He has been a continuous member of HSE’s academic staff since 2007, previously heading the Master’s Programme in Marketing (2015–2020) and holding ranks from Senior Lecturer to Associate Professor. Education 2011 – Candidate of Sciences (PhD equivalent) in Economics and National Economy Management, Nizhny Novgorod State University of Architecture and Engineering 2006 – Specialist degree, HSE University Research Interests His research agenda centres on data-driven management , marketing analytics , and strategic alliances within innovation ecosystems. He investigates how firms leverage data for marketing decisions, how entrepreneurial ecosystems evolve in transforming economies, and how imitation strategies shape startup performance. Scientific Awards Best Teacher Award – 2018–2021, 2016 HSE Young Faculty Support Programme – “Future Professoriate” (2012) HSE Young Faculty Support Programme – “New Lecturers” (2009–2010) Grants & Advising He has led or co-led competitive research grants from HSE, including a 2014 faculty grant on “Research of imitation practices in Russian companies” and a 2013 HSE research group grant on “Contemporary marketing practices in Russia”. He supervises numerous master’s theses and term papers in management and marketing analytics. Labs & Teams While no dedicated lab is named, his ongoing leadership of the Business School and master’s programmes implies active engagement with research teams in marketing analytics and data-driven management at the Nizhny Novgorod campus.