Find Academic Supervisors

• French Language Pedagogy
• Translation Studies
• Computer-Assisted Language Learning
• +3 more

Milen Ivanov Chipchanov serves as Assistant Professor at New Bulgarian University's Department of Foreign Languages and Cultures, where he has taught French language and translation since 1999 after previously working at the Institute for Foreign Students (1979-1999). His academic career spans over 45 years with expertise spanning French linguistics, translation studies, and educational technology integration. Bachelor's in French Philology, Sofia University 'St. Kliment Ohridski' (1979) Postgraduate Qualification in 'Computers in Language Teaching' (1987) Doctorate in 'Pedagogical Mediation through Personal Computers in Foreign Language Learning' (2013) Professor Chipchanov specializes in computer-assisted language learning, focusing on digital material development, multimedia integration, and translation technologies. His research bridges traditional linguistic pedagogy with modern technological solutions, particularly examining generational differences in digital learning adoption and strategies for authentic material implementation in language instruction. His methodology emphasizes practical application through audiovisual resources, computer systems, and interactive platforms. His publication portfolio demonstrates consistent evolution from foundational computer-assisted language learning concepts in the 1990s toward contemporary digital pedagogy frameworks, with recent work examining Z-generation learning behaviors and digital material development principles. The research trajectory reveals deepening specialization in digital language learning ecosystems while maintaining core focus on phonetics, translation, and multimedia integration. Professor Chipchanov has directed master's programs and participated in national educational projects including Ministry of Education initiatives for teacher qualification and student internships. His administrative experience includes coordinating language programs and developing digital learning frameworks through projects funded by the European Social Fund. His technical expertise encompasses HTML programming, multimedia content creation, and specialized translation software development. He has contributed to numerous educational projects including the creation of digital learning platforms, video-based instructional materials, and computer-assisted assessment systems for language learning.

• Electromagnetism
• Antenna Engineering
• Semiconductor Technology
• +2 more

Zlatan Dimitrov serves as a Researcher (R1) at the Faculty of Economics of Sofia University "St. Kliment Ohridski", working under the National Program "Young Scientists and Postdoctoral Fellows-2" since September 2024. His academic credentials include: Master's degree in Electromagnetism, Nuclear Fusion and Space Engineering (2024) from the Royal Institute of Technology (KTH) in Stockholm, Sweden Bachelor's degree in Electrical Engineering and Information Technology (2022) from the Technical University of Vienna (TU Wien), with supplementary studies at Aalto University in Helsinki, Finland (2021) Dimitrov's research bridges engineering disciplines with computational economics, focusing on electromagnetic systems , antenna design , and semiconductor applications enhanced by artificial intelligence and machine learning methodologies. His work demonstrates a unique convergence of hard engineering principles with data-intensive economic analysis, suggesting applications in economic forecasting, market modeling, or resource optimization through advanced computational techniques. Prior research experience includes significant contributions at Ericsson (Telefonaktiebolaget LM Ericsson), the Royal Institute of Technology (KTH), and the Technical University of Vienna (TU Wien), indicating strong industry-academia collaboration throughout his career development.

• Macroeconomics
• Dynamic Optimization
• System Dynamics
• +6 more

Dr. Alexander Vassilev serves as Associate Professor of Economics and Head of the Master's Program in Economics at the University of Lincoln, UK, while also working as an Associate Researcher at the Faculty of Economics of Sofia University. At Sofia University, he conducts research on the regional and economic impact of European projects in Bulgaria, funded by the Research Fund of Sofia University. Dr. Vassilev received his PhD from the University of Glasgow (Scotland) and completed a postdoctoral fellowship at CERGE-EI in Prague, Czech Republic. His academic training has established him as an experienced macroeconomist with extensive publication record. His research expertise spans dynamic macroeconomics, dynamic optimization, system dynamics, dynamic stochastic general equilibrium (DSGE) models, real business cycle (RBC) and New Keynesian (NK) models, economic growth theories, fiscal policy analysis, labor market dynamics, and computational methods in economics. His methodological approach combines theoretical modeling with empirical analysis of complex economic systems. Dr. Vassilev's scholarly contributions have earned him significant recognition within the economics community. Ranked 43rd out of approximately 4,700 economists in the UK by REPEC based on research output over the past decade With an impressive publication record including 3 books, 14 book chapters, more than 135 peer-reviewed journal articles, over 60 reviews, and 25 technical reports, Dr. Vassilev has established himself as a leading researcher in macroeconomic modeling. He regularly teaches advanced doctoral and postgraduate courses covering specialized topics in economic theory and methodology. His current research at Sofia University examines how European Union funding mechanisms affect regional economic development in Bulgaria, providing valuable policy insights for national and EU-level decision makers.

• Artificial Intelligence
• Data Science
• Information Systems
• +3 more

Dr. Aldeniz Enverov Rashidov is an Associate Professor at the Technical University of Gabrovo , affiliated with the Faculty of Electrical Engineering and Electronics and the Department of Automation, Information and Control Systems . With a Ph.D. in Industrial Information Systems (2006), he has led the Information Support Sector since 2005 and directed the Center for E-Learning and Distance Education since 2012. Education: M.Sc. in Systems and Management (1996), Ph.D. in Industrial Information Systems (2006) Research interests: AI applications in education, intelligent databases, e-voting systems, web-based information architectures, and industrial cybersecurity His recent 15 publications focus on AI-driven manuscript review algorithms, e-voting security frameworks, and ChatGPT-assisted research methodologies. Notable achievements include IEEE Senior Membership (2024) and developing the UMIS 1.0 university management system. Scientific Awards Senior Member, IEEE Computer Society (2024) Senior Member, IEEE Robotics & Automation Society (2024) He has led 9 internal TU-Gabrovo projects on AI applications and contributed to international collaborations like MechMate (2016-2017). His work emphasizes system intelligence evaluation methodologies and hybrid data structuring models.

• Mathematics Education
• Computer Science Education
• Curriculum Development
• +2 more

Borislava Kirilova Videnova serves as an Assistant Professor at the Faculty of Mathematics and Informatics, Sofia University 'St. Kliment Ohridski', where she contributes to academic programs in mathematical and informatics education. Her research concentrates on pedagogical methodologies within mathematics and computer science education, emphasizing curriculum design and instructional strategies for higher education. She focuses on enhancing learning frameworks and educational practices specific to quantitative and computational disciplines.

Alexander ChernevView profile

Assistant Professor

• Digital Fabrication
• Spatial Analysis
• Architectural Design
• +2 more

Alexander Chernev is an Assistant Professor at the Faculty of Architecture, Department of Public Buildings, at the University of Architecture, Civil Engineering and Geodesy (UACEG). His work focuses on integrating digital technologies like CNC programming into architectural design, analyzing spatial deformations through photography and modeling, and exploring the materiality of habitable environments. Education: Master's Degree in Architecture, University of Architecture, Civil Engineering and Geodesy (2022) Research Interests: Digital fabrication in architectural design Spatial deformations via photographic and physical models Material aspects of habitable environments Computerized control of machinery (CNC routers) Contact: Email: a.chernev_far@uacg.bg

• Image processing
• 3D visualization
• Virtual Reality
• +7 more

Prof. PhD Miroslav Nikolov Galabov is a Professor at the Faculty of Mathematics and Informatics, St. Cyril and St. Methodius University of Veliko Turnovo in Bulgaria. His academic career spans several decades with significant contributions to computer science, particularly in the areas of 3D visualization, virtual and augmented reality, and image processing. He maintains active research collaborations and participates in multiple funded projects at the university. Professor Galabov's research interests focus on cutting-edge technologies including: Image processing and computer vision 3D visualization and modeling Virtual and Augmented Reality systems Microprocessor systems and embedded computing System programming and software architecture Multimedia systems and publishing technologies E-business applications and social network technologies His scholarly output demonstrates a clear evolution from foundational work in digital signal processing and image compression toward contemporary research in cloud infrastructure, semantic web technologies, and digital twin applications. Recent publications show a strong emphasis on practical implementations of AWS infrastructure, microservices architecture, and blockchain solutions for IoT systems. His work consistently bridges theoretical computer science with real-world applications across multiple domains including education, business, and cultural heritage preservation. Professor Galabov actively participates in significant research projects including: "Изследване и анализ на приложението на технологични инструменти и инфраструктура като креативна среда за трансфер на знания" (2025-2025) "Изследване, анализ и популяризиране на мобилни технологии и софтуерни приложения в полза на студенти със специални потребности" (2025-2025) "Изследване възможностите на технологиите за виртуална и добавена реалност за атрактивно представяне и популяризиране на българското фолклорно наследство" (2023-2023) Multiple projects related to 3D visualization, e-learning, and digital infrastructure development

• Software Quality
• Aesthetics in Programming
• Probability and Statistics
• +5 more

Asst. Prof. Lachezar Tomov, PhD is a faculty member at the Department of Informatics , New Bulgarian University (NBU), with 14+ years of experience in software engineering, optimization methods, and web programming. His research spans software quality, programming aesthetics, probability/statistics, and the history/philosophy of science. He collaborates with Medical University-Sofia and BAS Institute of Mathematics and Informatics on epidemiological studies, particularly in infectious diseases and COVID-19 pandemic modeling. Research Interests include: Software Quality and Aesthetic Metrics Epidemiological Modeling and Medical Statistics Risk Management and Statistical Process Control History/Philosophy of Science and Mathematics Crosstalk between Liberal Arts and STEM Scientific Awards : 2021 BAIT Award - First Place in Practical IT Teaching SUPER STEM AMBASSADOR Gold Medal (2021-2023) Grant Collaborations : NBU Long-Term Energy Consumption Forecasting Project (2016) MU-Sofia Hepatitis A Clinical Data Modeling (2020) NBU Faculty Interdisciplinary Conference (2022) Central Development Fund Project #1603 (2022) Labs & Teams : Collaborates with NBU Risk Analysis Laboratory , multidisciplinary teams at Medical University-Sofia, and contributes to open-access science platforms like BG Nauka and Venets journal.

• Molecular Biology
• Bioinformatics
• Biotechnology
• +3 more

Kiril Todorov Kirilov is an Assistant Professor in the Department of Biological Sciences at New Bulgarian University, where he has been employed since 2022. Previously, he worked as a researcher at the Institute of Molecular Biology, Bulgarian Academy of Sciences (2007-2022). He holds a Master's degree in Engineering Biotechnology from the University of Chemical Technology and Metallurgy, Sofia (2001) and a PhD in Molecular Biology from the Bulgarian Academy of Sciences (2014). His specialized training includes bioinformatics at the International Centre for Genetic Engineering and Biotechnology in Italy (2003) and Carleton University in Canada (2013). His research focuses on molecular biology, bioinformatics, and biotechnology, with specific interests in codon usage patterns, glycation processes, enzyme kinetics, and therapeutic compound development. He has published extensively on topics ranging from DNA analysis techniques to neurotensin applications in Parkinson's disease. Dr. Kirilov teaches multiple courses including Zoology of Vertebrates, Genetic Engineering, Molecular Biology, Cell Biology, and Industrial Biotechnology. He holds two patents (2017) for educational materials in chemistry and environmental protection designed for secondary schools.

• Neuroscience
• Cognitive Psychology
• Visual Perception
• +4 more

Assoc. Prof. Ivan Ivanov, PhD, serves as an Associate Professor in the Department of Telecommunications at New Bulgarian University (NBU), teaching core courses including SECB810 (Information Management Assurance) and TCMB862 (Internet-Based Networks and Protocols) within the Bachelor's Program in Telecommunications and Computer Technology. His academic role integrates engineering education with cutting-edge cognitive neuroscience research. Ivanov's research spans visual neuroscience and neurolinguistics, with dual emphases on face/body perception mechanisms and bilingual language processing. His methodological expertise encompasses electrophysiology (ERP/EEG) and functional neuroimaging (fMRI), applied to investigate neural coding in primate and human models. This interdisciplinary approach bridges telecommunications signal processing with cognitive science, particularly in analyzing neural responses to visual and linguistic stimuli. Analysis of his 15 most recent publications (2015-2025) reveals dominant trends in mesoscale neural organization for face/body processing and bilingual cognitive control. His work frequently employs primate neurophysiology to map body-selective cortical patches while simultaneously exploring second-language activation dynamics in humans. Key methodological innovations include fixation-related potentials for bilingual studies and fMRI adaptations for trauma evaluation in refugee populations. Scientific Awards: No awards were documented in the provided materials. Advising and Grants: Available documentation indicates no formal student advisees or research grants. Ivanov's academic profile emphasizes independent research and course instruction, with publications primarily reflecting departmental collaborations rather than externally funded projects. Laboratory and Team Affiliations: While specific labs are unmentioned, his fMRI/ERP work implies access to neuroimaging facilities, likely through cross-departmental partnerships between Telecommunications and Psychology/Neuroscience units at NBU. His trauma-stabilization studies suggest clinical collaborations with refugee support organizations.

Karachevtsev Artem OlegovichView profile

Assistant Professor

• Web application development
• JavaScript technologies
• Frontend architecture design
• +5 more

Artem Olegovich Karachevtsev is an Assistant Professor at the Department of Computer Science in Yuriy Fedkovych Chernivtsi National University , Ukraine. With a background in biotechnical systems and computer science, he contributes to both academic and applied research in software engineering and optical diagnostics. Academic Degree: Candidate of Physical and Mathematical Sciences (Optics and Laser Physics) Education: Dual Master's degrees in Electronic Devices (2008) and Computer Science (2023) Research Interests include: Web application optimization using JavaScript technologies and frontend architecture design Digital signal/image processing via laser Fourier-Stokes polarimetry Biomedical optics and polarization imaging for medical diagnostics Recent Research Trends demonstrate interdisciplinary work combining Android/Web development with optical metrology , including publications on design patterns (2024), Nuxt.js frameworks (2023), and advanced polarization techniques for diagnosing liver diseases and intestinal pathologies (2020). Professional Engagement includes membership in the Chernivtsi IT Cluster (2022-present) and practical experience as a lead programmer at LLC Contracts-2005 and software developer at LLC My DtKt .

Olar Oleksandr ValeriyuvychView profile

Assistant Professor

• Computer Science
• Web Development
• Machine Learning
• +3 more

Olar Oleksandr Valeriyuvych serves as an Assistant Professor in the Department of Computer Science at Yuriy Fedkovych Chernivtsi National University, holding a Candidate of Physical and Mathematical Sciences degree with expertise spanning computer science and optics. His interdisciplinary work bridges web development, machine learning, and biomedical imaging applications. Education: Graduated from Yuriy Fedkovych Chernivtsi National University (2015) with a degree in Laser and Optoelectronic Engineering (Research Engineer) Awarded Candidate of Physical and Mathematical Sciences (2019) for dissertation on 'Differential Muller-matrix diagnostics of polycrystalline structure of biological layers' (Specialty 01.04.05 – Optics, laser physics) His research integrates computational techniques across two primary domains: computer science (web development frameworks, machine learning algorithms, distributed systems) and optics (Mueller-matrix polarimetry, biomedical tissue analysis, forensic diagnostics). Recent publications demonstrate strong interdisciplinary collaboration, particularly in developing web applications for health monitoring systems and computational methods for optical field analysis. Analysis of his 15 most recent publications reveals evolving focus from pure optics research (2018-2020) toward computer science applications (2021-2024), with increasing emphasis on machine learning implementations and full-stack development. Key trends include convolutional neural networks for image recognition, distributed computing solutions for optical simulations, and practical web frameworks for real-world applications like pandemic monitoring and e-commerce systems. Professional Activities: Member of Bukovina Information Technology Cluster (Chernivtsi IT Cluster) since 2021 (Certificate CB No. 102021) Practitioner for 'New Side Solutions' company Author of multiple textbooks including 'Applied Programming: From Theory to Practice' (2021) and 'Modern Web Development Technologies: Frontend Development' (2022) He maintains active professional development through numerous certifications including Google Project Management specialization and advanced React/Node.js training, while teaching JavaScript technologies courses. Information regarding specific student advising and grant funding details is not provided in available sources.

Oleksandr Ivanovych VorobetsView profile

Associate Professor

• Semiconductor Devices
• Signal Processing
• Control Systems
• +3 more

Oleksandr Ivanovych Vorobets serves as an Associate Professor in the Department of Computer Systems and Networks at Chernivtsi National University. He holds the academic degree of Candidate of Physical and Mathematical Sciences, awarded for his 2007 PhD thesis on modifying metal-chalcogenide semiconductor barrier structures using pulsed laser irradiation. His academic foundation was built at Yuriy Fedkovych Chernivtsi State University, where he graduated from the Faculty of Physics, Department of Microelectronics and Semiconductor Devices. Research interests span semiconductor device physics , signal processing , and computer engineering , with a focus on modeling and algorithmizing primary information signal converters based on semiconductor barrier structures. His work integrates laser processing techniques for manipulating structural defects in semiconductors and developing hardware/software systems for instrumentation and control. Analysis of his publication history reveals two distinct phases: early work (2003-2009) concentrated on semiconductor material science and laser defect engineering in cadmium telluride structures, while recent publications (2015-2018) pivot toward cryptographic hardware design for IoT and telemetry applications, featuring reconfigurable coprocessors and stream ciphers. Vorobets instructs core computer engineering courses including Computer Electronics, Computer Circuit Engineering, Computer Architecture, System Programming, Microcontrollers, and Automation of Technological Processes and Measurements. His email contact is o.vorobets@chnu.edu.ua.

Snizhana Yuryivna GimchynskaView profile

Assistant Professor

• Distance Learning
• Computer Hardware Development
• Information Coding
• +3 more

Snizhana Yuryivna Gimchynska is an Assistant Professor at the Department of Computer Systems and Networks , Faculty of Physics , Chernivtsi National University named after Yu. Fedkovych . Her work bridges computer hardware/software development with educational technology innovation . Education: Chernivtsi State University (1992) (Computer Science), Retraining in Public Finance (2010) Research Focus : Designing distance learning systems since 2004 Developing computer hardware/software for scientific applications Advancing information coding and digital signal processing methodologies Exploring TCP/IP network database architectures and cloud computing in education Publication Trends : 15+ years of contributions in educational technology , computer networking , and scientific instrumentation , with recent emphasis on cloud-based learning environments (2011) and open-source software adoption (2015-2016). Scientific Recognition : 2023: P-Certificate (Continuing Education) 2022: IPD Week Award 2021: Woman in IT Recognition 2019: CISCO IT Essentials Certification 2019: PCAP Python Programming Certification

Lisovenko Iryna DmytrivnaView profile

Assistant Professor

• Parallel and Distributed Computing
• GPU Computing
• Automatic Program Parallelization
• +3 more

Lisovenko Iryna Dmytrivna serves as Assistant Professor in the Department of Computer Systems and Networks at Yuriy Fedkovych Chernivtsi National University since 2002, following her 2000 diploma in Computer Systems and Networks from the same institution. Her professional trajectory includes software engineering at a municipal medical institution (2000–2002) and ongoing contractual collaboration with Elogic Commerce since 2018. Her academic credentials include: Yuriy Fedkovych Chernivtsi State University, Faculty of Physics, Department of Computer Science, specialty "Computer Systems and Networks" (2000) Dr. Lisovenko's research centers on parallel and distributed computing, emphasizing automatic parallelization techniques, GPU-accelerated non-graphical computing, and structural analysis of program intermediate representations. She concurrently investigates specialized computer systems for data stream processing and develops methodologies for enterprise accounting automation, bridging theoretical computer science with business process optimization. Her scholarly output demonstrates sustained innovation in high-performance computing architectures. Analysis of her 15 most recent publications (2012–2021) reveals three dominant research thrusts: GPU-based parallelization (40% of works, including Kalyna encryption and bitonic sorting implementations), algorithmic optimization for diverse hardware (33%, covering sorting networks and structural matrices), and applied systems for real-world problems (27%, spanning smart home control, social media analysis, and enterprise automation). This evolution reflects increasing focus on practical GPU applications while maintaining core expertise in parallel algorithm design. She actively contributes to academic development through teaching Parallel and Distributed Computing, Economic and Legal Aspects of Enterprise Automation, and DevOps/DevNet courses, while authoring 12+ methodological manuals including "Parallel and Distributed Computing: Laboratory Workshop" (2022) and "System Administration of Linux OS" (2021). Her professional development includes certifications in Constitutional Law, Finance and Investment, DevNet Associate, and All Digital Week initiatives (2020–2021).