جست‌وجوی استاد و پژوهشگر

• National Security
• Intelligence Analysis
• Law Enforcement
• +۷ مورد دیگر

Professor Nikolay Stefanov Radulov, DSc, serves as a faculty member in the Department of National and International Security at New Bulgarian University. With a distinguished career spanning over three decades in security-related fields, he brings extensive practical experience from Bulgaria's Ministry of Interior and other governmental security institutions to his academic role. Radulov holds a Doctor of Philosophy degree from the Rakovski National Defence Academy (1986-1992), where his dissertation focused on 'Management Culture.' His educational background also includes specialized training in computer sciences from the University of Architecture, Civil Engineering and Geodesy (1992), counter-terrorism courses from the US Institute for Transportation Security (1992), and democratic governance practices from the UK government's Know-How Fund (1998). His research interests center on national security frameworks, intelligence analysis methodologies, law enforcement challenges, and security policy implementation. Radulov has developed innovative approaches to intelligence resource management and security analysis, with particular emphasis on operational intelligence, counter-terrorism strategies, border security, and the epistemological foundations of intelligence work. His work consistently addresses the tension between security needs and civil liberties in democratic societies. Radulov's publications reveal a strong thematic focus on the practical challenges of security institutions, with recurring analysis of Bulgaria's Ministry of Interior (MVR) reforms, intelligence oversight mechanisms, and the implementation gap between security legislation and operational reality. His scholarly output demonstrates consistent concern with professionalizing security services while maintaining democratic accountability. As an educator, Radulov teaches advanced courses including Intelligence, Contemporary Issues in Intelligence, External Observation, Special Intelligence Resources, and Internship in Special Intelligence Means, preparing the next generation of security professionals with both theoretical knowledge and practical skills.

Olga Ilieva Georgievaمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۶ مورد دیگر

Olga Ilieva Georgieva is a Professor at the Faculty of Mathematics and Informatics (FMI) , Sofia University , specializing in Software Technologies . She has held academic positions at the Bulgarian Academy of Sciences and Technical University of Sofia , and is actively involved in research, teaching, and national/EU-funded projects. Education: 1986 – Faculty of Automatics, TU-Sofia 1995 – PhD, Institute of Control and System Research, Bulgarian Academy of Sciences 2000 – Associate Professor, Institute of Control and System Research, Bulgarian Academy of Sciences 2008 – Associate Professor, Faculty of Mathematics and Informatics, Sofia University Research Interests: Her work spans Artificial Intelligence , Machine Learning , Data Mining , and Soft Computing Methods . She applies these to domains such as emotion recognition from EEG , QoS in web services , educational data mining , and industrial energy modeling . Scientific Awards: Best Paper Award, IEEE 8th International Conference on Intelligent Systems (2016) Teaching & Projects: She teaches courses including Requirements Engineering , Models of Software Systems , Fuzzy Sets and Applications , and Professional Ethics at Sofia University, and previously taught at TU-Sofia. She leads or co-leads multiple national and EU projects such as GATE: Big Data for Smart Society , ITDGate , and Modelling of Voluntary Saccadic Eye Movements .

• Sensor Systems and Electronic Nose Technology
• Food Quality Assessment and Authentication
• Artificial Neural Networks Applications
• +۳ مورد دیگر

Todor Nedev Todorov is a Senior Assistant at the Faculty of Electrical Engineering and Electronics at Technical University - Gabrovo, Bulgaria, holding a Doctor (scientific and educational) degree in Technical Sciences. He works in the Department of Automation, Information and Control Technology, with office location in cabinet 3411. Dr. Todorov's research focuses on sensor systems and electronic nose technology for food quality assessment and authentication. His work integrates artificial neural networks with gas sensor arrays to develop innovative solutions for monitoring food products during processing and aging. He has made significant contributions to applications in cheese classification, sunflower oil quality assessment, and bean origin identification. Analysis of Dr. Todorov's publication record from 2012-2023 reveals a consistent research trajectory centered on electronic nose systems and their applications in food science. His work shows progression from basic sensor development to sophisticated neural network implementations for food quality assessment. The research demonstrates strong interdisciplinary connections between electrical engineering, food science, and artificial intelligence. Dr. Todorov has been actively involved in numerous research projects, primarily focusing on sensor systems for environmental monitoring and food quality control. His project portfolio includes both internal university research initiatives and international collaborations aimed at incorporating technology into educational curricula. His laboratory work appears centered around sensor development and integration, particularly gas sensor arrays for food quality monitoring applications. The research infrastructure likely includes electronic nose systems, neural network training environments, and food product testing facilities.

Uhryn Dmytro Ilyichمشاهده پروفایل

دانشیار

• Information technologies for decision support
• Swarm intelligence systems
• Industry-specific geographic information systems
• +۲ مورد دیگر

Dr. Dmytro Uhryn is an Associate Professor at the Department of Computer Science, Yuriy Fedkovych Chernivtsi National University. With a Doctor of Technical Sciences degree (2021) and specialization in Computer Science (12DC No. 029057, 2011), he actively contributes to research in swarm intelligence and geographic information systems . As a member of the Bukovina Information Technology Cluster since 2019, he focuses on intelligent forecasting systems , medical image analysis , and financial data modeling . Education: Applied Mathematics (2003, Chernivtsi National University) and Organizational Management (National Technical University "Kharkiv Polytechnic Institute") Research Interests: Information technologies for decision support, swarm intelligence systems, industry-specific GIS, medical image processing, and financial market algorithms. Recent publications (2023-2024) demonstrate expertise in swarm intelligence applications for migration forecasting, medical diagnostics using laser autofluorescence, and financial systems modeling. His 2021 dissertation established foundational methods for swarm intelligence in GIS . Professional development includes certifications in educational programming (Sigma Software University), NATO modeling , and international teaching methodologies (Lyublin Institute, 2023). He collaborates with researchers across Ukraine and Poland on biomedical optics, financial IT, and tourism technology projects.

• Latest network technologies
• Information security
• Cryptography
• +۴ مورد دیگر

Dr. Yuliya Volodymyrivna Tanasyuk is an Associate Professor at the Department of Computer Systems and Networks, Chernivtsi National University named after Yu. Fedkovych . She holds a Candidate of Physical and Mathematical Sciences degree (2003) and has been an active researcher and educator in computer science and physics domains. Academic Rank: Associate Professor Email: y.tanasyuk@chnu.edu.ua Her research spans multiple disciplines: Cryptography Cellular Automata Internet of Things (IoT) Software Engineering Network Technologies Project Management Notable trends in her publications include: Applications of cellular automata in cryptographic hash functions (2017–2021) Advancements in CdTe semiconductor materials (2003–2007) Interdisciplinary work bridging physics and computer science Scientific recognition includes: Multiple Cisco certifications (CCNA Security, DevNet Associate) 2023 UGEN Uni-Biz Bridge award for teaching flexibility British Council Academic Teaching Excellence (2016) International conference presentations at E-MRS and ISCP As an academic advisor, she has supervised numerous student research projects including: TensorFlow-based pattern recognition Traffic sign tracking systems Blockchain interaction frameworks University event planning software Smart parking detection systems Her work often intersects hardware-software integration and security protocols, with educational contributions through methodological guides in C++ programming and network technologies.

Michail Michailovمشاهده پروفایل

استاد

• Sports Training Methodology
• Elite Sport Scientific Support
• Physiological Testing in Sports
• +۳ مورد دیگر

Prof. Michail Michailov serves as Professor and head of the 'Theory and Methodology of Sports Training' sector at the Department of Theory of Sport Training, Faculty of Sport, National Sports Academy in Sofia, Bulgaria. Teaching since 2001, he earned his Doctor of Sciences degree in 2020 and was appointed Professor in 2023, specializing in sports training methodology and rock climbing physiology. His educational milestones: Doctoral degree (Doctor) in 2006 Doctor of Sciences degree in 2020 Professor appointment in 2023 Michailov's research centers on sport-specific physiological testing, elite athlete performance evaluation, and rock climbing training methodology. He developed innovative equipment for peripheral aerobic/anaerobic capacity assessment and focuses on translating scientific findings into practical training applications for climbers. His work bridges sports science theory with elite athletic performance optimization. Analysis of his 15 most recent publications (2016-2024) reveals dominant focus on climbing biomechanics and physiology, particularly finger strength metrics, muscle endurance testing, and training adaptations. Key trends include validation of sport-specific assessment tools, blood flow restriction applications, and energy system contributions to climbing performance, with strong international collaboration patterns across European institutions. No formal scientific awards are documented, though he serves as guest editor for Frontiers and reviews for high-impact sports science journals, indicating peer recognition. He manages National Sports Academy research projects and international Erasmus initiatives, providing scientific support for elite athletes through performance testing and methodological guidance. While no formal students are listed, his coaching background informs practical knowledge transfer. Michailov actively contributes to the UIAA medical commission and leads development of a European sport climbing coach training system, with collaborations at Charles University (Prague), Krakow Academy of Physical Education, and Cologne Sports University.

Savina Olegovaمشاهده پروفایل

پژوهشگر

• Scientometrics
• Scientific Publishing
• Journal Hijacking
• +۴ مورد دیگر

Savina Olegova serves as Head of Branch Library at the Faculty of Chemistry and Pharmacy, Sofia University "St. Kliment Ohridski," where she combines library leadership with significant research contributions in scientometrics and scholarly communication integrity. Holding a PhD in Problems of scientific information and communication in science and education, she has established herself as a leading expert on journal hijacking and predatory publishing practices within the Bulgarian academic community and internationally. Her educational journey culminated in a 2020 PhD dissertation completed at Sofia University "St. Kliment Ohridski" under the supervision of Assoc. Prof. Dr. Elena Boyadzhieva. This foundational work examined critical challenges in scientific information systems and communication channels within academic environments, setting the stage for her subsequent research focus. Olegova's research interests span scientometrics, journal integrity, and scholarly communication systems, with particular expertise in identifying and analyzing hijacked journals, predatory publishing models, and metrics fraud. Her work reveals that hijacked journals grew from 101 in 2016 to 138 in 2020, with nearly 50% of fraudulent journal domains registered in 2019-2020 compared to legitimate journals' older registrations. She has developed sophisticated methodologies examining nine key features to distinguish authentic from hijacked journals, including domain ownership patterns where Namecheap, Inc. registered 14 of 32 working hijacked journal websites. Analysis of her publication trends shows a clear evolution from foundational work on library services and information literacy toward increasingly sophisticated examinations of scholarly communication integrity. Her recent publications focus on emerging threats like ResearchGate metrics manipulation and the impact of open science initiatives on traditional publishing models, reflecting her ability to anticipate and address evolving challenges in academic publishing. As an active editorial professional, Olegova serves on the editorial board of the Bulgarian Journal of Chemistry and edited the 2023 refereed publication "Education in Natural Sciences and High Technologies." She is also the author of the comprehensive monograph "Principles of Scientometrics: Phenomena and Trends in World Science" (2023), which synthesizes her extensive research in the field. Olegova has developed and implemented specialized training programs for PhD students and early-career researchers focused on scientific publication ethics and communication strategies. Her approach combines theoretical knowledge with practical case studies to help emerging scholars navigate the complex publishing landscape and avoid predatory practices. These initiatives demonstrate her commitment to mentoring the next generation of researchers through structured educational interventions. Leading the Branch Library at the Faculty of Chemistry and Pharmacy, Olegova oversees critical information services supporting both educational and research missions. Her expertise in information literacy has directly shaped training programs for chemistry and pharmacy students, ensuring they develop essential research skills from their earliest academic experiences. This integration of library leadership with scholarly research exemplifies the evolving role of academic librarians in contemporary research universities.

• Discrete Mathematics
• Coding Theory
• Algorithms
• +۶ مورد دیگر

Assoc. Prof. Zlatko Georgiev Varbanov is a distinguished academic at the Faculty of Mathematics and Informatics, University of Veliko Tarnovo (Bulgaria). With expertise spanning discrete mathematics, coding theory, and software development, he has established himself as a prominent researcher in both theoretical and applied computer science domains. His scholarly work bridges mathematical theory with practical implementations, particularly in DNA coding, quantum error correction, and software engineering principles. Dr. Varbanov's research interests encompass a diverse range of topics including Discrete Mathematics, Coding Theory, Algorithms, Programming, DNA codes, Quantum codes, and Information security. His scholarly work demonstrates a consistent focus on the intersection of algebraic structures and practical coding applications, with particular emphasis on self-dual codes over finite fields and their applications in DNA computing and quantum information theory. In software engineering, he has made significant contributions to design patterns, asynchronous programming in C#, and static site generation techniques. Analysis of Dr. Varbanov's recent publications reveals a dual research trajectory: one strand focusing on theoretical aspects of coding theory (particularly DNA codes and quantum codes), and another addressing practical software engineering challenges. His work on design patterns, SOLID principles, and asynchronous programming in C# demonstrates his commitment to improving software development practices. The publications on static site generation and data storage services reflect his engagement with contemporary web development technologies and their optimization. Dr. Varbanov has been actively involved in numerous research projects, with current engagements extending into 2025. These projects focus on AI-driven information systems, mobile technologies for students with special needs, digital accessibility for visually impaired users, and enhancement of research indicators for faculty members. His collaborative work spans multiple institutions and demonstrates a strong commitment to both theoretical research and practical applications that address real-world challenges.

• Sustainable Economic Growth
• Balance-of-Payments Constraints
• Exchange Rate Regimes
• +۳ مورد دیگر

Elena Spasova is an Assistant Professor at New Bulgarian University , affiliated with the Department of Economics . Holding a PhD in Economics with specialization in 'World Economy and International Economic Relations', her research focuses on balance-of-payments constrained growth models and exchange rate regime impacts on economic development. Key research areas: Sustainable economic growth, BOP constraints, exchange rate regimes Regional expertise: Asia, Latin America Economic modeling: Growth dynamics under different monetary frameworks Her academic work includes publications in Bulgarian and international journals, with notable recognition in the Dr. Ivanka Petkova academic contest. She has participated in the Lindau Nobel Laureates Meetings as a young scholar. Beyond academia, she has experience in business consulting and NGO fundraising activities. Scientific Awards: 2012 Bulgarian National Bank stipend for fiscal rule research 2016 Dr. Ivanka Petkova Academic Contest first-place winner 2016 Lindau Nobel Laureates Meetings scholarship Her publications analyze Bulgaria's economic growth patterns within global and transitional contexts, with particular emphasis on capital flows and policy implications.

Valentina Volodymyrivna Dvorakمشاهده پروفایل

استادیار

• Computer Vision
• Deep Learning
• IT Project Management
• +۳ مورد دیگر

Valentina Volodymyrivna Dvorak serves as an Assistant Professor in the Department of Computer Science at Chernivtsi National University. Her professional activities span across computer vision, deep learning, IT project management, and business analysis, with significant contributions to both academic research and practical applications in these fields. Dr. Dvorak holds a Candidate of Technical Sciences degree with specialization in Pressure Processing Processes and Machines. Her educational background includes a Master's in Metallurgical Equipment (2004) and a degree in Organizational Management (2010) from Donbass State Machine-Building Academy. This unique combination of metallurgical engineering and computer science expertise informs her interdisciplinary research approach. Her research interests prominently feature Computer Vision and Deep Learning applications across diverse domains including medical diagnostics, satellite imagery analysis, and industrial process optimization. Dr. Dvorak has made significant contributions to convolutional neural network implementations, automated recognition systems, and polarization-correlation microscopy techniques for biomedical applications. Her work bridges theoretical computer science with practical implementations in healthcare, manufacturing, and environmental monitoring. Analyzing her publication record reveals a strong focus on practical applications of deep learning, with particular emphasis on computer vision systems for medical diagnostics, industrial quality control, and environmental monitoring. Her research demonstrates consistent progression from fundamental metallurgical process optimization to advanced AI applications. Certificate of acknowledgment as scientific supervisor for BLACK SEA SCIENCE 2022 Educational Grant from SoftServe for developing training course (2021) Dr. Dvorak actively contributes to IT education through multiple textbooks including 'Deep Learning for Computer Vision,' 'IT Project Management,' and 'Intelligent Data Analysis.' Her professional development includes numerous certifications from Sigma Software University and SoftServe, reflecting her commitment to staying current with industry practices. She serves as a member of the Bukovina Information Technology Cluster and provides scientific consulting for SKB 'Electronmash KM.'

Yatsko Oksana Myroslavivnaمشاهده پروفایل

دانشیار

• Computer-oriented methodological systems for teaching
• Data mining and business analytics
• Game theory applications in economics
• +۴ مورد دیگر

Yatsko Oksana Myroslavivna is an Associate Professor at the Department of Computer Science, Chernivtsi National University named after Yuriy Fedkovych. She holds a Candidate of Pedagogical Sciences degree (specialty 13.00.02 - theory and methods of teaching informatics) and has been certified as an Associate Professor since 2022. Her research focuses on computer-oriented methodological systems for teaching computer disciplines, with specializations in data mining for business applications, game theory implementation in economic decision-making, web technologies development, and algorithm design. She actively contributes to educational literature with multiple textbooks on Discrete Mathematics, Operations Research, Web Technologies, and Systems Modeling. Her professional engagements include membership in the Bukovina Information Technology Cluster, Chernivtsi Mathematical Society, and participation in international conferences like SPIE Optical Engineering and Correlation Optics. She has completed advanced certifications in machine learning, data visualization, and online education technologies from Prometheus, SoftServe, and other institutions. Her publications demonstrate expertise in strategic business analysis, cross-platform decision support systems, and educational software development. The 15 most recent works (2023-2024) cover data structures, game theory applications, web development tools, and polarization-based biomedical diagnostics. She serves as an expert for Ukraine's Ministry of Education and National Agency for Quality Assurance in Higher Education.

• Teletraffic Engineering
• Biometric Systems
• Machine Learning
• +۵ مورد دیگر

Dr. Georgi Ivanov Georgiev is an Associate Professor at the Department of Communication Equipment and Technologies , Technical University Gabrovo , with over 15 years of experience in teletraffic engineering, biometric systems, and artificial intelligence applications. He has led multiple research projects on network security, voice/facial recognition, and smart home systems. Current academic rank: Associate Professor Key collaborations: University of Ruse, IEEE, MDPI, AIP Publishing Research Interests : Biometric diagnostics with AI Machine learning for network traffic Neural networks (FFNN, GRNN, PNN) Smart home systems Teletraffic modeling Optical communication systems Recent Article Trends focus on hybrid AI methodologies (neural networks, decision trees, SVM) applied to: Noise analysis in communication systems Biometric authentication Internet traffic optimization Signal processing Smart environment monitoring Scientific Awards : Crystal Prize 2017 for Best Paper Multiple Best Paper awards at international conferences (2016, 2018) Student Advising : Reviewed thesis works on topics including Wind Farm Safety , Power Grid Modeling , and Lightning Protection Systems . Publications include 6 textbooks and 97 peer-reviewed works.

Stephan Ivanov Ivanovمشاهده پروفایل

استاد

• Microcontrollers
• Programmable logic devices
• Sensor systems
• +۷ مورد دیگر

Professor Stephan Ivanov Ivanov serves as Head of the Department of Automation, Information and Control Technology within the Faculty of Electrical Engineering and Electronics at Technical University - Gabrovo. With a Doctorate in Technical Sciences, he has established himself as a leading researcher in sensor systems and industrial automation. His academic career spans over two decades with continuous contributions to both theoretical and applied research. Dr. Ivanov's research focuses on the intersection of microcontroller technology, programmable logic devices, and sensor systems. His work particularly emphasizes humidity and gas sensors, electronic nose technology, and the application of artificial neural networks in fire detection and food quality assessment. A significant portion of his recent research explores the innovative use of acoustic waves combined with deep learning for firefighting applications, representing a cutting-edge interdisciplinary approach. His publication record demonstrates consistent scholarly output, with 86 publications including books, conference papers, and journal articles. The most recent works (2022-2025) show a clear trend toward integrating deep neural networks with physical sensor systems, particularly in fire detection and environmental monitoring. His research bridges theoretical computer science with practical engineering applications, resulting in numerous international collaborations. As an educator and mentor, Professor Ivanov has supervised five PhD students, with three currently active in their research. His leadership extends to coordinating multiple international projects focused on incorporating 3D design and programming into educational curricula. His work demonstrates a commitment to both advancing scientific knowledge and applying it to practical educational and industrial challenges.

• Metrology
• Electromagnetic Field Measurement
• Power Quality
• +۴ مورد دیگر

Prof. Plamen Tsvetkov is a faculty member at New Bulgarian University (NBU) in the Department of Telecommunications since 2013. He previously held roles at Technical University of Sofia (1986–2019), including Head of the Department of Electrical Metrology (2004–2019). His academic career spans over 35 years in teaching and research. Education : PhD in Electrical Metrology from Technical University of Sofia (1998), specializing in robust structures for measurement systems. Research Interests : Metrology and calibration of measurement devices Power quality and electromagnetic field analysis Design of information-measurement systems Robust structures for measurement accuracy Applications in telecommunications and computer technology Recent Work Trends : His 15 most recent publications focus on power quality calibration methods, 4G/5G network protocols, and advanced signal processing techniques. Collaborations with international researchers emphasize standards like BDS EN 50160 and tools such as LabVIEW and MATLAB. Scientific Awards : Silver Medal, Technical University of Sofia Grants and Projects : Led 8 international projects and participated in over 30, including EU-funded initiatives on measurement standards and power quality. He also contributed to educational reforms in electrical engineering curricula. Publications and Leadership : Authored over 20 books and 130+ publications, with 15+ indexed in Scopus/Web of Science. Active in symposiums like International Symposium Metrology and Metrology Assurance as committee member.

Sergey Vasilyevich Golubمشاهده پروفایل

استاد

• Agent programming
• Intelligent monitoring
• Medical informatics
• +۴ مورد دیگر

Sergey Vasilyevich Golub is a Professor at the Department of Software for Automated Systems at Cherkasy State Technological University. He holds a Doctor of Technical Sciences degree and has been part-time faculty since 2018. His career spans multiple roles, including dean at CHNU and head of departments in intelligent systems and software engineering. His research focuses on agent programming, intelligent monitoring, medical informatics, and machine learning. He has contributed to interdisciplinary projects linking software engineering with environmental monitoring and healthcare diagnostics. Recent publications emphasize multi-agent systems, social network analysis, and data-driven disease prediction. Key article trends include integrating satellite data for climate monitoring, authorship classification in social media, and agent-based modeling for pandemic forecasting. He collaborates with researchers in Ukraine and abroad, with works in Springer LNNS and CEUR-WS proceedings. Thanks and honorary diplomas from Cherkasy National University (2000, 2003, 2015) Honorary diplomas from Cherkasy Regional State Administration (2001, 2014) Honorary diploma from Ukraine's Ministry of Education and Science (2011) He has authored monographs on data analysis technologies and cross-platform decision support systems. His work bridges academic research and practical applications in intellectual monitoring across healthcare, ecology, and cybersecurity domains.