جست‌وجوی استاد و پژوهشگر

Karachevtsev Artem Olegovichمشاهده پروفایل

استادیار

• Web application development
• JavaScript technologies
• Frontend architecture design
• +۵ مورد دیگر

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 Valeriyuvychمشاهده پروفایل

استادیار

• Computer Science
• Web Development
• Machine Learning
• +۳ مورد دیگر

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 Vorobetsمشاهده پروفایل

دانشیار

• Semiconductor Devices
• Signal Processing
• Control Systems
• +۳ مورد دیگر

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 Gimchynskaمشاهده پروفایل

استادیار

• Distance Learning
• Computer Hardware Development
• Information Coding
• +۳ مورد دیگر

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 Dmytrivnaمشاهده پروفایل

استادیار

• Parallel and Distributed Computing
• GPU Computing
• Automatic Program Parallelization
• +۳ مورد دیگر

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).

Laxima Niure Kandelمشاهده پروفایل

استادیار

• Wireless Security
• Wireless Sensing and Localization
• UAV Detection
• +۴ مورد دیگر

Dr. Laxima Niure Kandel is an Assistant Professor in the Department of Computer, Electrical, and Software Engineering at Embry–Riddle Aeronautical University. Her research spans wireless security, UAV detection, and cybersecurity, with a strong focus on AI-driven solutions for aviation and IoT systems. Her core research interests include: Wireless sensing and localization Machine learning applications in cybersecurity GPS spoofing detection for aviation RF fingerprinting for device authentication Adversarial resilience in deep learning models Recent publications (2025) demonstrate a dominant focus on transformer-based security models, UAV protection systems, and explainable AI. Over 80% of her latest work involves deep learning techniques applied to real-world threats like GPS spoofing, ADS-B attacks, and adversarial patches in autonomous vehicles.

Boyan Jekovمشاهده پروفایل

استادیار

• Cybersecurity
• Artificial Intelligence
• Internet of Things
• +۴ مورد دیگر

Boyan Jekov is an Assistant Professor at the University of Library Studies and Information Technologies in Sofia, Bulgaria, where he is affiliated with the Faculty of Information Science. He is a member of Elena Shoikova's Lab and has established himself as a researcher with expertise in cybersecurity, artificial intelligence, Internet of Things, and quantum computing applications. His research interests span several critical technology domains: Cybersecurity and Security Operations Centers Artificial Intelligence applications for threat detection and response Internet of Things security frameworks Quantum communication and computing applications Data science and big data analytics Technology applications in education Professor Jekov's research output demonstrates a focus on cutting-edge security challenges, with recent publications through 2025 on autonomous AI architectures for Security Operations Centers and quantum computing applications for environmental issues. His work bridges theoretical computer science with practical applications across multiple domains including security infrastructure, healthcare, and educational technology. His publications show a consistent trajectory toward increasingly complex and interdisciplinary research problems. His scholarly contributions include 35 publications with 9,239 reads and 82 citations, reflecting steady research productivity over approximately a decade of academic work. His recent publications show increasing engagement with emerging technologies and interdisciplinary applications, particularly at the intersection of AI, cybersecurity, and quantum computing. Professor Jekov's research methodology appears to emphasize practical applications of advanced computing techniques to solve real-world problems, particularly in security domains and educational technology. His work often involves collaborative research with colleagues across different departments and institutions, demonstrating a team-oriented approach to complex technological challenges.

• Image Processing
• Computer Graphics
• 3D Animation
• +۳ مورد دیگر

Desislava Georgieva is an Assistant Professor in the Department of Informatics at New Bulgarian University (NBU), where she has been a full-time faculty member since 2005. She holds a PhD from Technical University of Sofia (2014) and dual Master's degrees in Architecture and Computer Technologies. Her research spans image processing , computer graphics , and 3D animation , with applied work in medical imaging, telemedicine, and cybersecurity. Recent publications demonstrate collaborations on medical device software, adaptive imaging algorithms, and educational methodologies. She teaches courses including Game Design , Animation Techniques , and Computer Animation , and has supervised multiple diploma students. Administrative roles include serving as program director and consultant at NBU. Contact: Office hours Tuesdays/Wednesdays (18:00-20:00, Room 712A) or email dvelcheva@nbu.bg .

Eliza Petrova Stefanovaمشاهده پروفایل

استاد

• Educational Technologies
• Technology Enhanced Learning
• e-Learning
• +۷ مورد دیگر

Eliza Petrova Stefanova is a Professor at Sofia University St. Kliment Ohridski's Faculty of Mathematics and Informatics, serving as Vice-rector of Information Activities and Academic Staff since 2015 and Head of the MSc e-Learning program. Her leadership drives the university's digital transformation strategy and human resource development in science and innovation. Her academic credentials include: MSc in Computer Science (1986-1991), Faculty of Mathematics and Informatics, Sofia University St. Kliment Ohridski PhD in Computer Science, Adaptive systems (2009-2012), Faculty of Mathematics and Informatics, Sofia University St. Kliment Ohridski Professor Stefanova's research spans Educational Technologies, Technology Enhanced Learning, and Open Science, with emphasis on competence-based learning, virtual reality applications, and inclusive STEM education. Her work bridges pedagogical innovation with digital infrastructure development for 21st-century skill acquisition. Analysis of her 15 most recent publications reveals dominant trends in pandemic-accelerated digital education transformation, Balkan Open Science initiatives, and competence-based curriculum design. Key thematic clusters include learning analytics for teacher support, VR-enhanced inclusive classrooms, and policy frameworks for STEM educator development. Scientific Awards: No specific awards documented in source materials. As principal investigator, she leads the MODERN-A project (2021-2023) involving 9 Bulgarian universities and 24 European partners. Her grant portfolio includes 15+ EU RTD projects (CATCH21, weSPOT, Share.TEC) as coordinator/WP leader and 30+ national initiatives focused on educational technology infrastructure. She co-develops platforms like SHARE.TEC for educational resource repositories and the weSPOT inquiry-based learning environment, collaborating with international consortia across 24 European institutions to advance teacher training frameworks and digital competency standards.

• Educational Technology
• Mathematics Education
• E-Learning Security
• +۳ مورد دیگر

Bilyana Stoyanova Stoyanova serves as faculty at Technical University of Gabrovo, Bulgaria, where she maintains office 1337 with contact email bilyana_zheleva@abv.bg. Her professional activities focus on educational technology implementation within mathematics instruction, evidenced by participation in six university research projects and eleven scientific publications between 2012-2019. She specializes in bridging traditional pedagogy with digital solutions for technical education contexts. Her research centers on e-learning security frameworks, computational mathematics applications, and ICT integration in applied mathematics courses. Key investigations include comparative analyses of traditional versus technology-enhanced teaching methods, with particular emphasis on online exam integrity in MOOCs and secure file handling in virtual learning environments. Her work demonstrates consistent focus on practical implementation challenges within Bulgarian higher education institutions. Publication trends reveal progressive specialization from foundational digital library applications (2013) toward advanced security protocols for online assessments (2015) and computational optimization tools (2017-2019). The majority of her output appears in national Bulgarian conferences, with select international collaborations in Ukraine, Macedonia, and India, reflecting regional academic networks focused on educational technology adaptation. She actively contributed to six research initiatives at TU Gabrovo including EU-funded projects like 'Development and implementation of virtual technologies for sustainable distance learning' (2012, financed by OP 'Development of Human Resources' and European Social Fund). Her project roles consistently involve practical implementation aspects across modern educational technologies (2014-2015), triangulation methodologies (2012-2013), and identification systems (2011), demonstrating hands-on technical engagement rather than theoretical research.

NIKOLAY HRISTOV NENOVمشاهده پروفایل

مدرس پاره‌وقت

• Industrial Management
• Electronics
• Electrical Engineering
• +۳ مورد دیگر

Nikolay Hristov Nenov is a Part-time Lecturer at the Technical University - Gabrovo, Bulgaria, within the Faculty of Economics, Department of Management. Holding a Doctorate in Technical Sciences, he bridges industrial management with technical disciplines through extensive teaching and research in electronics and electrical engineering. His work emphasizes practical applications for industrial systems and student training. Nenov's research spans Industrial Management , Electronics , and Electrical Engineering , with core focus on industrial electronics , control circuits , induction heating systems , and emerging Industry 4.0 challenges. His methodology integrates theoretical frameworks with hands-on laboratory exercises, as demonstrated in his textbooks covering electrical measurements, electric drives, and industrial electronics. Recent investigations explore deformation-photon effects and environmental monitoring devices, reflecting interdisciplinary innovation. Analysis of his 15 most recent publications reveals dominant themes in induction heating applications (water heaters, boilers, industrial assemblies) and industrial electronics . Work evolved from foundational textbooks (2009-2011) to contemporary topics like Industry 4.0 (2021) and photon emission physics. Frequent collaborations with P. Tomchev and R. Ivanova yield engineering solutions for manufacturing, thermal systems, and radiation effects, highlighting consistent industry-academia partnerships.

• Cybersecurity
• Blockchain Technology
• Big Data Analytics
• +۳ مورد دیگر

Assoc. Prof. Dr. Boyan Kolev Zhekov serves as Associate Professor in the Department of Computer Science at the University of Information Technology and Management in Ruse (UniBIT), Bulgaria, with additional scientific supervision roles in doctoral programs at ISTICN and ASOIU. His institutional footprint spans teaching, research leadership, and cross-organizational collaboration in national IT research initiatives. Research activities concentrate on high-impact domains where theoretical computer science meets operational security challenges: Cybersecurity : Developing self-improving cybercrime investigation techniques and security assessment methodologies for information systems/networks, with specialized focus on EU tax administration data protection Blockchain Innovation : Researching secure multi-party computation applications and transaction identification systems for financial assets Big Data Ecosystems : Architecting analytical frameworks for IoT data and learning experience optimization using machine learning Human-Technology Integration : Modeling user experience in workflow management systems and examining legal-technical interfaces in electronic printing As a dedicated doctoral supervisor, Dr. Zhekov guides 11 candidates across these interconnected fields, with research outputs directly addressing Bulgaria's and the EU's evolving cybersecurity infrastructure needs. His supervision portfolio demonstrates exceptional versatility in bridging theoretical rigor with practical implementation in critical national security contexts.

• Statistics
• Probability Theory
• Statistical Applications
• +۴ مورد دیگر

Dimitar Atanasov, PhD, serves as an Associate Professor in the Department of Informatics at New Bulgarian University (NBU), where he has taught since 2009 across multiple programs including Network Technologies, Informatics, Psychology, and Telecommunications. His academic foundation includes a PhD in Probability Theory and Mathematical Statistics (2007). His research spans Statistics, Probability Theory, and their applications in educational measurement, cognitive diagnosis, and stochastic modeling. Key focus areas include robust statistical estimation, branching processes, test equating, and psychometric modeling for educational assessment. He has developed original teaching materials for courses in statistics, probability, data warehousing, and game theory. At NBU, he teaches core courses including Probability Theory and Statistics, Applied Statistics, and specialized topics like Image Classification and Data Theory. His work demonstrates strong interdisciplinary connections between statistical methodology and practical applications in education, linguistics, epidemiology, and computer security. He actively contributes to the academic community as a member of the editorial board of Mathematics and Informatics journal and participates in the Bulgarian Statistical Society and Bulgarian Society for Research and Evaluation in Education. Professor Atanasov has collaborated on national and international projects, particularly in educational assessment systems. His technical expertise includes MATLAB programming for statistical simulation and algorithm development, with applications in test scoring, equating, and automated test assembly systems developed for institutions like Saudi Arabia's National Center for Assessment.

Ivaylo Radevمشاهده پروفایل

استادیار

• Geodesy
• Landslide Monitoring
• Crustal Deformation Analysis
• +۳ مورد دیگر

Chief Assistant Professor Ivaylo Radev serves at the University of Architecture, Civil Engineering and Geodesy (UACEG) within the Faculty of Geodesy, Department of Higher Geodesy. His academic career spans geodetic monitoring, crustal deformation analysis, and landslide process studies with active involvement in international research projects. His research focuses on geodynamic processes , particularly through GPS monitoring of crustal deformations and active fault analysis. Key areas include landslide monitoring in urban environments like Sofia's Botanical Garden, Krupnik-Kresna region geodynamics, and integration of gravimetric measurements with geodetic data. His methodological approach combines field measurements with finite element modeling for deformation analysis. Publications reveal a consistent research trajectory in geodetic monitoring techniques from 2004-2012, with emphasis on practical applications for natural hazard assessment. His work demonstrates strong collaboration with the Bulgarian Academy of Sciences and international partners through NATO-funded projects. As project manager for multiple geodynamic research initiatives including 'Complex Research of Modern Geodynamics in the Krupnik-Kresna Area' (2006) and 'Study of Modern Active Faults Through Geodetic Methods' (2012), he has contributed to regional seismic hazard understanding. His participation in the NATO Science for Peace project 'HEMUSNET' (2006-2011) highlights international research engagement. He maintains active teaching responsibilities with documented lecture courses and Teams-based educational platforms for geodetic instruction. His laboratory work centers on deformation monitoring systems within the Department of Higher Geodesy infrastructure.

Roumen Nikolovمشاهده پروفایل

دانشیار

• Smart Education
• Smart Cities
• Blockchain Technology
• +۵ مورد دیگر

Roumen Nikolov is an Associate Professor in the Department of Computer Science at the University of Library Studies and Information Technologies in Sofia, Bulgaria. He is an active researcher with 19 publications generating over 10,773 reads and 81 citations, specializing in the integration of information technology across education, environmental management, and urban development. As a core member of Elena Shoikova's Lab, his work bridges theoretical frameworks with practical implementations of emerging technologies. His research spans Smart Education systems, Blockchain applications, Smart City ecosystems, and Forest Management solutions. Key interests include developing competence-based learning models for digital natives, creating energy-efficient smart home environments, and establishing interoperable standards for urban IoT infrastructure. His publications consistently emphasize sustainability, user-centered design, and the socio-technical implications of digital transformation in both educational and ecological contexts. Analysis of his 15 most recent publications reveals a pronounced interdisciplinary trajectory where computer science fundamentals converge with environmental science and educational theory. Dominant themes include the application of Big Data analytics in urban ecosystems, blockchain-enabled industrial innovation, and the conceptualization of smart learning environments. His work demonstrates particular strength in translating technical capabilities into tangible solutions for Bulgaria's national ICT strategy implementation and sustainable regional development. Nikolov maintains extensive collaborative networks across Bulgarian academic institutions including the Technical University of Sofia and Bulgarian Academy of Sciences. His primary research vehicle is Elena Shoikova's Lab, which focuses on advanced ICT applications in education and environmental management. Current projects emphasize cloud-based educational architectures, smart forest ecological management systems, and the development of service-oriented smart home solutions that prioritize energy efficiency and user experience.