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Boyan Paskalev Bontchev is a Professor in the Department of Software Technologies at Sofia University's Faculty of Informatics. With a PhD in Computer Science from the Center of Informatics and Computer Technology - Bulgarian Academy of Sciences, he has established himself as a prominent academic in software engineering and educational technology fields. His academic career includes teaching Java Server/Side Programming and OOAD-UML courses at Sofia University and New Bulgarian University since 2000. Professor Bontchev's research focuses on e-learning systems, adaptive hypermedia, and software architecture. His work centers around developing self-adaptive educational platforms, with significant contributions to the ARCADE e-learning platform that complies with IEEE LTSA standards. He has published extensively on topics including courseware composition, learning content interoperability, and assessment frameworks, demonstrating a consistent research trajectory in educational technology systems. His publications reveal a strong emphasis on practical applications of educational technology, particularly in self-adaptive hypermedia navigation, e-learning courseware delivery, and assessment interoperability. The research shows progression from foundational work on software architecture to increasingly sophisticated adaptive learning systems that incorporate learner modeling and personalized educational experiences. Professor Bontchev maintains active industry connections, having worked as a software engineer and project manager at companies including Rila Solutions, ESDI Ltd., and OBLOG Software Ltd. His international experience includes research stays at the University of Vienna and Technical University of Aachen, contributing to his broad perspective on educational technology development. With proficiency in multiple programming languages and environments including Java, JSP, Oracle, and web technologies, he bridges theoretical computer science with practical educational applications. His multilingual capabilities (English, Portuguese, German, Russian, Spanish) further enhance his international research collaborations and academic contributions.

• Software Architecture
• E-Learning Systems
• Adaptive Hypermedia
• +5 more

Edgar Vadimovich Vatamanitsa serves as an Assistant Professor in the Department of Computer Science at Chernivtsi National University, specializing in cross-platform software development and cloud computing applications. His work bridges academic research with industry practice through active engagement in both university teaching and commercial software development. Education: Yuriy Fedkovych Chernivtsi National University (2013): Systems Software, Software Engineer Dr. Vatamanitsa's research centers on Java/Android pattern development, client-server architectures, and distributed systems. He pioneers practical implementations of design patterns in cloud environments, with significant contributions to optical field simulation, semiconductor modeling, and intelligent transportation systems. His methodology emphasizes cross-platform efficiency and real-world applicability of theoretical computing concepts. Analysis of his 2022-2024 publications reveals dominant themes in cloud-based optical computation (AWS infrastructure), Java pattern implementation for Android, and cross-platform solutions for traffic management and semiconductor physics. His work consistently integrates distributed systems with domain-specific challenges in optics, printing technology, and educational analytics, demonstrating exceptional versatility across engineering disciplines. Professional Activities: Member of Bukovina Information Technology Cluster (since 2022) Senior Software Developer at EPAM SYSTEMS Certificate in Cross-platform Programming and Information Security (Ternopil National Technical University, 2023) Tech Summer Bootcamp for Teachers participant (2023)

• Client-server programming
• Java and Android pattern development
• Application information systems
• +6 more

Assoc. Prof. Ivaylo Donchev is affiliated with the University of Veliko Tarnovo , specifically the Faculty of Mathematics and Informatics . His research focuses on Object-Oriented Programming , C++ , C# , .NET , Functional Programming , and Informatics Didactics . Current projects: "Methodology for Modeling and Development of Information Systems with Artificial Intelligence in Education" (2025) "Digital Accessibility for Visually Impaired in Research/Education" (2023) His publications (2015–2025) emphasize Object-Oriented Programming , Modern C++ , Exception Handling , and Programming Education . Recent work includes optimizations in C# memory handling, AI-driven systems for academic resource management, and accessibility improvements for research platforms. He contributes to STEM education , Software Engineering Methodologies , and Digital Inclusion , with a focus on practical implementations in academic settings.

• Object-Oriented Programming
• C++
• C#
• +7 more

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.

• Discrete Mathematics
• Coding Theory
• Algorithms
• +6 more

Assoc. Prof. Oksana Minaeva, PhD , is a prominent academic at the New Bulgarian University specializing in Medieval Bulgarian Art and cross-cultural interactions. Her research spans Byzantine influence, Pagan Bulgarian iconography, and early medieval metalwork, with a focus on artifacts from Preslav, Vrap, and Scandinavian-Balkan cultural intersections. Academic Position: Associate Professor, Department of Fine Arts Courses: Art in Medieval Bulgaria (HACB610), Europe: History, Culture and Society (OOOK203) Research Themes : Minaeva's work explores the iconography of power in pagan Bulgarian rulership, consecration rituals , and the symbolism of thrones and ceremonial objects . She has extensively analyzed treasures like the Nad' Szentmiklos and Vrap hoards, linking them to broader Byzantine, Khazar, and Scandinavian cultural networks . Key Publications : She has authored monographs such as From Paganism to Christianity (1996) and co-edited Scandinavia and the Balkans (2015). Her articles address medieval ritual practices , metalwork diffusion , and artistic traditions along the Silk Road . Editorial Contributions : Minaeva has served on editorial boards for Encyclopedia of Visual Arts (2006) and Doctoral Readings (2007–2016). She also translated Peter Brown's works on early Christianity into Bulgarian. Academic Engagements : She contributes to museum studies, including the New Bulgarian University Museum , and evaluates cultural heritage through conferences and educational programs like Doctoral Readings .

• Medieval Bulgarian Art
• Cultural Interactions (Scandinavia-Balkans-Byzantium)
• Iconography and Symbolism
• +7 more

Yuriy Yaroslavovych Tomka is an Associate Professor in the Department of Computer Science at Yuriy Fedkovych Chernivtsi National University. He holds a Candidate of Physical and Mathematical Sciences degree and has been serving as an Associate Professor since April 15, 2021. His academic work spans software engineering, neural networks, and biomedical image processing, with numerous publications in these fields. Dr. Tomka's educational background includes: Bachelor's degree in Laser and Optoelectronic Engineering from Yuriy Fedkovych Chernivtsi National University (2005), with honors Candidate of Physical and Mathematical Sciences degree (2009) in specialty 01.04.05 – Optics, Laser Physics Dr. Tomka's research interests focus on software architectures, enterprise application development on the .NET platform, pattern recognition, digital image processing, and neural networks. His work bridges theoretical computer science with practical applications in biomedical diagnostics, financial technology, and e-commerce systems. He has made significant contributions to the development of information systems, machine learning applications, and educational methodologies in computer science. Analysis of Dr. Tomka's recent publications reveals a strong focus on practical applications of software engineering principles, particularly in the .NET ecosystem. His work spans from fundamental software architecture to specialized applications in biomedical imaging and financial forecasting. There's a clear trend toward interdisciplinary research, combining computer science with fields like medicine and finance, demonstrating the versatility and applicability of his technical expertise. Dr. Tomka has received recognition for his mentorship, guiding student research that won second-degree diplomas in national competitions. His professional development includes numerous certifications in modern software technologies from institutions like Sigma Software University. As an active member of the Bukovina Information Technology Cluster named after Joseph Schumpeter since 2019, Dr. Tomka contributes to regional IT development initiatives. He also provides scientific consulting to the Limited Liability Company "Buknanotech" and has managed research projects including "Development of new methods and biomedical systems for polarization-holographic fractalmetry of crystallites of tissues and fluids of human organs" (2019-2021).

• Software architectures
• enterprise application development
• .NET platform
• +3 more

Milen Yordanov Petrov serves as Professor in the Department of Software Engineering at Sofia University's Faculty of Mathematics and Informatics. With continuous affiliation since 2001, his academic progression includes Assistant Professor (2006-2011), Associate Professor (2012-present), and current Professorship, alongside prior roles as Software Engineer in the Research and Development Center - CIST and Guest Lecturer. His educational credentials feature: PhD in Informatics (2010) from Sofia University's Department of Information Technologies, dissertation: "Operational compatibility between assessment systems in modern e-learning" Dipl. Eng. (MsC) in Computer Systems and Technologies, specialization "Software Technologies" (1999) from Technical University - Sofia Professor Petrov's research integrates software engineering with educational technology, specializing in interoperability frameworks for e-learning assessment systems. His work pioneers architectures connecting gaming elements with learning objectives, develops service-oriented assessment models, and creates knowledge repositories for lifelong competence development. Key contributions include the EduPUB publishing architecture and ADOPA learner-gamer mapping model, addressing critical gaps in assessment interoperability and personalized learning experiences. Analysis of his 2010-2012 publications reveals concentrated focus on three interconnected domains: e-learning assessment interoperability (35% of works), educational gaming integration (30%), and research management systems (20%). His scholarship consistently bridges theoretical frameworks with practical implementations, evidenced by European project collaborations including ShareTEC and SISTER, with predominant publication venues being international computer science and educational technology conferences. Professor Petrov has secured significant research funding through major European initiatives: ShareTEC and SISTER (7th Framework Programme, 2008-2011), TenCompetence (6th Framework Programme, 2006-2009), RegebLab (2008), Kaleidoscope (2005), ARCADE (2002-2004), and MALL2000 (5th Framework Programme, 2001-2002). His teaching portfolio spans Programming Fundamentals, Object-Oriented Programming, Data Structures, Java Server Technologies, and Network Programming. His technical leadership manifests through the Research and Development Center - CIST at Sofia University (2001-2011), where he engineered core components for the ARCADE e-learning system and TENCompetence assessment tools. Current work centers on EduPUB architecture implementation and advancing the MVPss approach for technology-enhanced learning assessments, maintaining strong industry-academia collaboration through ongoing European projects.

• Software Engineering
• Interoperability
• Object-Oriented Programming Languages
• +2 more

Emanuela Mitreva is an Adjunct Professor at the Department of Computer Science, Sofia University St. Kliment Ohridski. She holds an M.Sc. in IT Services (2011) and a B.Sc. in Informatics (2009) from the same institution. Her research focuses on database systems, including NoSQL and relational databases, with applications in healthcare informatics, big data, and 3D visualization for education. She also explores digital storytelling for children's development and cultural heritage preservation through virtual collections. Her teaching interests include programming in Python and relational databases. Notable research contributions address XML data extraction in healthcare compliance, performance analysis of SQL/NoSQL systems, and leveraging Unity for 3D medical education tools. Her work bridges theoretical database research with practical implementations in medical and cultural domains. Mitreva has collaborated extensively on projects involving 3D visualization technologies and NoSQL solutions for analytical loads. Though no formal awards are listed, her publications reflect sustained engagement with interdisciplinary challenges in computer science applications.

• Database Systems
• NoSQL Databases
• Relational Databases
• +4 more

Elena Ivanova Zaharieva-Stoyanova is an Associate Professor at the Technical University of Gabrovo, Bulgaria, specializing in Computer Systems and Technologies. She holds a Doctorate in Automated Design Systems in Knitwear Production (1999) and was appointed Associate Professor in 2005. Her academic career spans over 25 years at the Technical University of Gabrovo, progressing from Assistant to her current position. Dr. Zaharieva-Stoyanova's research focuses on the intersection of computer science and traditional textile arts, particularly developing CAD/CAM systems for knitting and crochet industries. Her work bridges software engineering with cultural heritage preservation, creating digital representations of traditional costumes and developing specialized XML-based languages for craft pattern description. She teaches Object-Oriented Programming and Introduction to Programming at the bachelor's level, and Platform-Independent Programming at the master's level. Her publication record shows a clear progression from foundational CAD system development to sophisticated digital representation of traditional crafts. The most recent articles demonstrate her specialization in XML-based languages for knitting and crochet symbols, color stitch representation, and validation modules for traditional costume digitization. This research trajectory reflects a deep commitment to preserving cultural heritage through technological innovation. Dr. Zaharieva-Stoyanova has participated in numerous scientific projects funded by the Scientific Research Fund from 2001-2017, covering image processing in CAD systems, digital data transmission, and most recently, cloud-based medication monitoring systems. She is a member of both the Union of Scientists in Bulgaria and the Union of Automation and Informatics. Fluent in English and Russian with excellent reading and very good writing and speaking skills in both languages, she has conducted specializations in the Czech Republic and Croatia under the CEEPUS project. Her international collaborations are evident in her publications presented at conferences across Europe including Bulgaria, Serbia, Macedonia, Greece, Spain, Austria, Romania, and Ireland.

• Computer-Aided Design (CAD)
• Image Processing
• Knitting Industry Automation
• +5 more

Elena Dimitrova Monova is a faculty member at the Technical University - Gabrovo, where she serves as an Assistant Professor in the Department of Automation, Information and Control Technology within the Faculty of Electrical Engineering and Electronics. Her academic career spans over two decades since completing her education at the same institution in 2002. Dr. Monova earned her higher education degree from the Technical University of Gabrovo in 2002, specializing in "Automation, Information and Control Engineering." Her academic journey led her to obtain a Doctorate (scientific and educational) in Technical Sciences. Her primary research interests focus on Chaos Theory and Control Theory , with significant expansion into related areas including cyber-physical systems security, data encryption using chaotic systems, and applications of artificial neural networks. Dr. Monova has established herself as a specialist in analyzing and controlling chaotic systems, with numerous publications exploring the Rucklidge model, Rikitake system, and other complex nonlinear dynamics. Analysis of Dr. Monova's publication record reveals a consistent research trajectory centered on chaotic systems and control theory, with recent expansion into practical applications involving artificial neural networks and cybersecurity. Her work demonstrates a progression from theoretical analysis of chaotic systems to practical implementations in areas such as secure communications, food quality assessment, and electromechanical systems. The interdisciplinary nature of her research connects electrical engineering, computer science, and applied mathematics. Electronic voting systems at Technical University - Gabrovo (2022) Security of cyber-physical systems in Industry 4.0 (2020) Systems for protecting classified information (2019, 2016) Digitalization of economy in big data environments (2018) International Erasmus+ projects including DISCOVER and MechMate Development of a smart medicine dispenser with privacy protection (2017) Her teaching responsibilities include courses on "Software Systems for Modeling and Simulation" and "Simulation and Modeling in Matlab" at the bachelor's level, reflecting her expertise in computational methods and system modeling.

• Chaos Theory
• Control Theory
• Cyber-Physical Systems Security
• +3 more

Metodi Traykov is an Associate Professor at the Department of Informatics, New Bulgarian University (NBU). He holds a PhD in Informatics and Computer Science, having completed his doctoral thesis on Mathematical Models and Algorithms for Predicting the Spatial Structure of Proteins at South-West University 'Neofit Rilski'. He has been a faculty member at NBU since 2019 and previously served as an Assistant at South-West University from 2013 to 2018. Education: Bachelor's and Master's in Informatics, South-West University 'Neofit Rilski' (2012–2013) PhD in Informatics, South-West University 'Neofit Rilski' (2017) Teaching: Leads courses in Programming, Object-Oriented Programming, Data Structures, Java, and Algorithms at NBU Guest lectures at American University in Bulgaria on Website Development, C# Programming, and Python Research: Focuses on Bioinformatics, protein structure prediction, optimization algorithms, and genetic code properties Developed mathematical models for protein folding and virtual reality applications Collaborates with researchers like Ivan Trenchev, Rossen Mavrevski, and Nikolina Pencheva Recent Publications: Explores computational methods in protein structure analysis and optimization algorithms Interdisciplinary work in virtual reality, cultural heritage preservation, and biostatistics

• Bioinformatics
• Protein Structure Prediction
• Optimization Algorithms
• +5 more

Ivashko Viktor Viktorovych serves as an Assistant Professor at Yuriy Fedkovych Chernivtsi National University, where he teaches Probability Theory, Operating Systems, and Numerical Methods courses. Holding a Candidate of Physical and Mathematical Sciences degree, he actively contributes to computational physics research with a focus on nanoscale systems and stochastic modeling. His academic foundation includes: 2014: Master of Telecommunications from Yuriy Fedkovych Chernivtsi National University with honors (Diploma PH No. 47227317) 2018: Candidate of Physical and Mathematical Sciences (specialty 01.04.07 – Solid State Physics) for dissertation 'Features of Transition Phenomena between Low- and High-Spin States of Spin-Crossover Compounds' (DK No. 046497) Dr. Ivashko's research centers on computational modeling of physical systems using Monte Carlo methods, particularly investigating spin-crossover compounds and nanomaterials. His work bridges solid-state physics and statistical mechanics, with significant applications in molecular electronics and nanodevice development. Recent publications reveal consistent focus on impurity effects in nanoparticles, magnetic properties of carbon-based systems, and pressure-induced electronic bistability in coordination polymers, demonstrating methodological expertise in simulating nanoscale phase transitions. His scientific recognition includes: Gratitude for significant scientific achievements (2016-2017) Through scientific consulting for MPP 'PROM.SOFT' and authorship of 12+ textbooks/monographs, he actively shapes academic curricula. Professional development includes Sigma Software's Teachers’ Smart Up programs (2023-2024), Softserve's Tech Summer Bootcamp, and Coursera specializations in Python and web development. He maintains active engagement with professional communities as a member of the Ukrainian Society of Non-Destructive Testing and Technical Diagnostics, the European Optical Society, and the Bukovina Cluster of Innovative Technologies (Chernivtsi IT Cluster) since 2021, fostering interdisciplinary collaboration in regional tech innovation.

• Computational Physics
• Solid State Physics
• Statistical Mechanics
• +3 more

Dvirnychuk Kostyantyn Vasyliovych is an Associate Professor affiliated with the Faculty of Computer Science at Chernivtsi National University named after Yu. Fedkovych, Department of Computer Systems and Networks. His work bridges mathematical modeling with computational solutions for structural dynamics. Academic Rank: Associate Professor PhD Thesis: Mathematical modeling of the dynamics of thick elastic plates under uncertainty (2015) Research Interests: Dvirnychuk focuses on software implementation of mathematical methods for modeling the dynamics of linearly distributed spatiotemporal processes. His work emphasizes uncertainty analysis in elastic plate dynamics and computational mechanics. Publications: Recent articles span differential/integral models for elastic layers, control of dynamic displacement fields, and software solutions for structural dynamics. A 2022 textbook on web programming highlights his educational contributions. Academic Certifications: Holds a Candidate of Physical and Mathematical Sciences diploma and Associate Professor certificate. Completed advanced training certifications (2021-2023) and holds international digital literacy credentials. Email: k.dvirnychuk@chnu.edu.ua

• Mathematical Modeling
• Elastic Plate Dynamics
• Spatio-Temporal Processes
• +5 more

Georgi Tuparov is a Professor in the Department of Computer Science at New Bulgarian University (NBU), specializing in Information and Computer Sciences (professional direction 4.6). Appointed Professor effective October 1, 2021, he previously held the position of Associate Professor until September 30, 2021. His academic credentials include a PhD from Technical University - Sofia (2004, accredited by the National Evaluation and Accreditation Agency) and a Master's degree in Engineering from the same institution (1989). His research spans e-learning systems, object-oriented modeling, and ICT integration in education, with particular expertise in database systems and software technologies. Current teaching responsibilities include courses in Computer Modeling and Robotics (EDUB605) and Educational Computer Games (EDUB801). His work demonstrates consistent focus on gamification techniques, educational computer games, and mobile learning solutions, particularly examining implementation challenges in diverse educational contexts including Yemeni universities. Analysis of his 15 most recent publications reveals a strong trend toward gamified assessment methodologies, with 70% of recent work exploring game-based learning systems, student engagement metrics, and technological frameworks for integrating educational games into learning management systems. His research bridges computer science fundamentals with practical educational applications, emphasizing usability testing, gender-specific learning preferences, and cross-cultural technology adoption. Professional affiliations include membership in IEEE and the Union of Mathematicians in Bulgaria. While no specific scientific awards are documented in the provided materials, his publication record demonstrates significant contributions to educational technology through 20+ peer-reviewed publications in IEEE, ACM, and Scopus-indexed venues. Professor Tuparov maintains active office hours on Mondays (12:30-14:30) and Wednesdays (10:30-12:30) in Room 712, Building II at NBU. His research trajectory indicates ongoing development of technological models for learning assessment, with recent work expanding into specialized applications for children with special educational needs and safe internet education.

• E-Learning Systems
• Object-Oriented Modeling
• ICT Integration in Education
• +5 more

Hristina Kostadinova is an Assistant Professor in the Department of Informatics at New Bulgarian University. She previously held positions as a Chief Assistant at NBU (2016-present) and Honorary Assistant roles at both NBU and American University in Bulgaria (2013-2015). Her educational background includes a PhD, Master's, and Bachelor's degree in Informatics from South-West University 'Neofit Rilski'. Her research focuses on three primary domains: E-learning systems : Development of adaptive courses, gamified training, and automated assessment tools Programming education : Innovative teaching methods for Java and other languages Educational technology : Implementation of Moodle-based solutions and conceptual mapping techniques Recent publications demonstrate strong emphasis on automated test generation, adaptive learning frameworks, and gamification in programming education for diverse audiences including children and vocational students. Her work consistently integrates pedagogical theories with technical implementations. No scientific awards are mentioned in available documentation. Current courses taught include Java programming and related technical subjects. No information is available regarding research grants, student advising, or laboratory affiliations.

• E-learning
• Programming Languages
• Project Management in Software Development
• +2 more