جستجوی استاد راهنمای دانشگاهی

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.

• Virtual Reality
• Scientific Visualization
• Computer Graphics
• +۴ 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.

• Process Mining
• Software Process Mining
• Object-Oriented Programming
• +۷ مورد دیگر

Denis Romanovich Rakitin serves as a Research Fellow and Senior Lecturer at the Faculty of Computer Science, National Research University Higher School of Economics (HSE University), where he has been employed since 2020. He is affiliated with both the Institute of Artificial Intelligence and Digital Sciences and the Center for Deep Learning and Bayesian Methods, contributing to HSE's growing prominence in AI research. Rakitin completed his Master's degree in Applied Mathematics and Computer Science at HSE in 2022 and is currently in his third year of postgraduate studies. His dissertation focuses on computational methods for solving the Schrödinger bridge problem under the supervision of Professor Dmitry Petrovich Vetrov. His academic journey reflects a strong foundation in mathematical and computational disciplines applied to cutting-edge AI research problems. His research interests center around Bayesian methods, machine learning, and probability theory, with significant contributions to generative models, differentiable rendering, and probabilistic approaches to AI challenges. His teaching portfolio includes advanced courses such as "Generative Models Based on Diffusion" and "Probability Theory," for which he was recognized as "Best Teacher of 2023." Rakitin's publication record demonstrates expertise in cutting-edge areas of machine learning, with research presented at top-tier conferences including NeurIPS, ICML, and AISTATS. His work spans computer vision, graphics, and combinatorial optimization, reflecting the interdisciplinary nature of modern AI research. Letter of gratitude from the Faculty of Computer Science at HSE (July 2023) Academic Work Allowance (2024-2025) Bonus for publication in a journal from List A (2025-2026, 2023-2024) Best Teacher of 2023 High Professional Potential Group (HSE Personnel Reserve) Category 'New Researchers' (2022-2023) Yandex Scholarship Award (2025) As a member of the Center for Deep Learning and Bayesian Methods, Rakitin actively participates in academic events such as the workshop "The Mathematics of Machine Learning," where researchers explore mathematical aspects underlying modern machine learning approaches. His recent recognition with the Yandex Scholarship highlights his significant contributions to research in computer science and positions him as a rising figure in Russia's AI research community.

• Bayesian methods
• Machine learning
• Probability theory
• +۲ مورد دیگر

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.

• Engineering Graphics
• Descriptive Geometry
• Computer Graphics
• +۲ مورد دیگر

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).

• Engineering Graphics
• Mineral Processing
• Computer-Aided Design (CAD)
• +۳ مورد دیگر

Korzukhin Igor Vasilievich is a Senior Lecturer in the Department of Engineering Graphics at the Institute of Mining, Geology and Geotechnology , Siberian Federal University . With 9 years of professional experience, he specializes in quarry ventilation systems, engineering graphics, and computational modeling techniques. Teaches: Descriptive Geometry, Engineering Graphics, Computer Graphics, Mountain Graphics, Engineering and Geological Graphics Professional Training: Completed AutoCAD certification at SFU's FPCP (2009) His research focuses on optimizing pipeline ventilation systems for quarries, including thermal air preparation and dual-channel duct designs. He has developed 12 scientific and educational-methodical works and holds 4 patents for innovative ventilation technologies. Key patents include: Method for Quarry Ventilation (Patent 2460885) Deep Quarry Ventilation System (Patent 2581644) Dual-channel Ventilation Technology (Patent 2582356) Air Thermal Preparation Method (Patent 2583603) Collaborated with students and colleagues on multiple projects, including publications in journals like Bulletin of Irkutsk State Technical University and Mining Industry . His work addresses environmental control challenges in mining through computational modeling and mechanical innovation.

• Mining Engineering
• Geological Engineering
• Ventilation Systems
• +۳ مورد دیگر

Protasova Galina Viktorovna serves as Senior Lecturer in the Department of Engineering Graphics at Siberian Federal University's Institute of Mining, Geology and Geotechnology. Born in 1958 in Aban, Krasnoyarsk Krai, she graduated from the Krasnoyarsk Institute of Non-Ferrous Metals in 1980 with a mining engineer-mechanic qualification specializing in Mining Machines and Complexes. Her 24 scientific and educational-methodical works span mining engineering applications and modern graphical techniques, with 3 publications documented in the last 5 years prior to the scrape. Her formal education includes: Mining Engineer-Mechanic (1980), Krasnoyarsk Institute of Non-Ferrous Metals named after M.I. Kalinin, specializing in Mining Machines and Complexes Professional development encompasses: Financial Management (1999) Project Management in Educational Activities (2010) Intel 'Education for the Future' (2010) Descriptive Geometry Modernization (2012) Geometric and Computer Methods in Engineering Education (2013) Educational Project Management (2017) Protasova's research centers on engineering graphics pedagogy, integrating descriptive geometry with computer-aided design for mining and mechanical engineering applications. Her work emphasizes practical problem-solving through educational materials that bridge theoretical concepts and industrial requirements, particularly in spatial visualization and technical documentation standards. She focuses on enhancing students' graphical literacy through innovative teaching methodologies and curriculum development. Analysis of her 14 most recent publications (2001-2016) reveals consistent emphasis on educational resources for engineering graphics courses, with significant contributions to projection drawing techniques, sketching methodologies, and mining-specific applications like earthwork planning and geological structure representation. The works demonstrate evolving integration of computer graphics while maintaining foundational geometric principles. No scientific awards were documented in the source material. Professional activities include teaching Descriptive Geometry, Engineering Graphics, and Computer Graphics courses. While no student advisement or research grants are specified, her extensive publication record in educational methodology indicates significant curriculum development contributions. Her professional retraining in project management and educational technologies suggests active engagement in pedagogical innovation within her department. No laboratory or research team affiliations were mentioned in the provided text.

• Mining Engineering
• Engineering Graphics
• Descriptive Geometry
• +۳ مورد دیگر

Aliyev Mishan Hammad oglu is a Lecturer at the National Research University Higher School of Economics (HSE), affiliated with the Faculty of Computer Science, Department of Big Data and Information Retrieval, and the Institute of Artificial Intelligence and Digital Sciences. He works in the Laboratory of Theoretical Foundations of Artificial Intelligence Models and the Yandex Research and Education Laboratory. Aliyev began his position at HSE in 2025 and serves as both an Expert and Teacher within the institution. His educational background includes a Master's degree in Applied Mathematics and Computer Science from HSE (2024) and a Bachelor's degree in the same field from MIREA - Russian Technological University (2022). Currently in his first year of postgraduate studies, he is working on his dissertation titled "Application of generative models for three-dimensional reconstruction and generation" under the supervision of Kirill Alekseevich Struminsky. Aliyev's research focuses on generative models, particularly for generating textures for 3D models, machine learning, Bayesian methods, and deep learning. His teaching portfolio includes courses such as Deep Learning 2, Text Analysis with Generative Models, and Deep Learning 1 for both Computer Science and Economics students. His recent publications demonstrate expertise in both computer graphics applications of AI and computational epidemiology. Among his professional achievements, Aliyev was recognized as "Best Teacher" in 2025. He serves as a Research Intern at the Center for Deep Learning and Bayesian Methods since 2024 and has participated in notable events including AI meetups between HSE's Faculty of Computer Science and Yandex in Minsk, and academic presentations at venues like the "Rovesnik" bar lecture series. Best Teacher - 2025 Aliyev actively contributes to academic life through teaching, research, and participation in laboratory meetings such as the "Laboratory" series where researchers connect with students. His work bridges theoretical AI foundations with practical applications in 3D modeling and texture generation.

• Generative Models
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

Goldobina Lyubov Aleksandrovna serves as Professor and Head of the Department of Engineering Graphics at the Institute of Mining, Geology and Geotechnology, Siberian Federal University (SFU), Krasnoyarsk, Russia. Holding a Doctor of Technical Sciences degree, she brings 40 years of specialized experience to her role in engineering education and geological applications. Her academic foundation was established at Yaroslavl Polytechnic Institute, where she earned a Specialist degree in Industrial and Civil Construction in 1982. Professor Goldobina's expertise centers on graphical methodologies for engineering and geoscience disciplines, with particular emphasis on: Engineering and Computer Graphics Descriptive Geometry Geological and Mining Visualization Technical Drawing Systems She maintains active engagement with modern pedagogical technologies through recent professional development in electronic course design for Blended Learning formats (2021), Moodle LMS course development (2021), and institutional corporate services training (2022).

• Engineering Graphics
• Computer Graphics
• Descriptive Geometry
• +۲ مورد دیگر

Dorogavtsev Igor Viktorovich serves as a Senior Lecturer in the Department of Engineering Graphics at the Institute of Mining, Geology and Geotechnology, Siberian Federal University (SFU). His teaching responsibilities include Descriptive Geometry, Engineering and Computer Graphics, Mountain Graphics, and Engineering and Geological Graphics. Education Graduated from the Krasnoyarsk State Academy of Non-Ferrous Metals and Gold in 2002 with a qualification as mining engineer, specializing in 'Mining Machinery and Equipment'. Professional Development 2005: Completed 'New information technologies for training specialists' at FPPKP GUCMIZ. 2010: Completed 'Information technologies in the educational process' at FPCP SFU. 2013: Completed 'Integration of project activities of teachers into the educational process of the university' at FPCP FGAOU VPO 'SFU'. Research Interests Dorogavtsev's research spans Engineering Graphics, Descriptive Geometry, and Computer-Aided Design, with applications in Mining Engineering and Environmental Engineering. His work emphasizes the development of educational materials for engineering graphics and the application of graphical methods to solve engineering problems, particularly in mining and environmental contexts such as gas cleaning processes. Publications He has authored 4 scientific and educational works, primarily focused on engineering graphics education. His publications demonstrate a commitment to enhancing engineering education through innovative teaching methodologies and the integration of information technologies. Notably, his 2017 work on modeling charged particles in gas cleaning processes extends his expertise into environmental engineering applications. Advising and Grants No information is available regarding student advising or research grants.

• Engineering Graphics
• Descriptive Geometry
• Computer-Aided Design
• +۲ مورد دیگر

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.

• Engineering Graphics
• Descriptive Geometry
• Computer Graphics
• +۲ مورد دیگر

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)

• Engineering Graphics
• Descriptive Geometry
• Computer Graphics
• +۳ مورد دیگر

Igor Bessmertny is a Professor and Doctor of Technical Sciences at the Faculty of Software Engineering and Computer Systems, ITMO University. He is also an Associate Professor and contributes to international research initiatives such as the "Non-linear and adaptive control systems" international research center and the "Architecture and design methods of embedded systems and systems on chip" international laboratory. Education: Graduated from Riga Civil Aviation Engineers Institute (1976) with a degree in electronic computers; earned a Doctor of Technical Sciences degree (1986) in computers, complexes, systems, and networks; awarded a Doctor of Technical Sciences degree (2015) in mathematical and computer software. His research focuses on intellectual systems based on knowledge production models and natural language text processing. He has developed key technologies, including the registered "Semantic program" (2011) and "Library of fast Prolog predicates for list processing" (2012). Dr. Bessmertny teaches disciplines such as "Intelligent systems," "Computer graphics," "Artificial intelligence systems," and "Logical programming." He has previously taught "Modern problems of computer science and engineering" and "Expert systems." Awards: Medal "300 years of the Russian Navy" (1996) Ministry of Education of the Russian Federation Diploma (2013) He has extensive professional experience, including automation of operational management at Pulkovo airport, postgraduate studies at LITMO (1985), and leadership roles in the banking and retail sectors. His work includes creating an information system supporting 29 major global clothing stores.

• Intellectual systems
• Natural language processing