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Nikola Vangelov serves as Associate Professor in the Department of Communication, Public Relations and Advertising at Sofia University, where his academic work centers on the intersection of advertising theory, digital innovation, and historical communication practices. His research particularly examines technological applications in advertising within smart city environments and social media ecosystems. His scholarly focus spans digital advertising methodologies, influencer marketing dynamics, political communication frameworks, and the historical evolution of advertising in Bulgaria. Key contributions include analyses of AI-driven out-of-home advertising, metaverse marketing strategies, and socialist-era propaganda techniques. His interdisciplinary approach bridges traditional advertising principles with emerging digital paradigms, emphasizing consumer engagement in technologically advanced urban contexts. Analysis of his 2022-2025 publications reveals a pronounced shift toward AI integration in digital out-of-home advertising, with significant contributions to understanding influencer marketing in book publishing and historical political communication in socialist Bulgaria. His work consistently demonstrates methodological rigor through critical reviews, historical analyses, and empirical studies of contemporary advertising phenomena, establishing him as a leading voice in Balkan advertising research.

• Advertising
• Digital Marketing
• Public Relations
• +3 more

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.

• National Security
• Intelligence Analysis
• Law Enforcement
• +7 more

Chief Assistant Professor Gloria Hristova, PhD candidate in Data Science, holds a dual academic role at Sofia University's Department of Statistics and Econometrics within the Faculty of Economics and Business Administration. Her research focuses on applying machine learning and NLP techniques to business analytics, digital transformation assessment, and public sentiment analysis. She teaches courses on text analytics, machine learning for finance, and quantitative management methods. Active in open-source contributions, her GitHub repositories showcase projects in data science competitions and Python-based analytical tools development. Education: PhD Studies in Data Science (2019–present), Department of Statistics and Econometrics, Sofia University. Professional memberships include the Data Science Society. Research Interests: Business Applications of Machine Learning Sentiment Analysis in Public Services Automated Analytics Tools Development Text Mining for Customer Insights Published works analyze digital transformation in SMEs, public opinion on e-government services, and banking chat data analytics. Her recent projects employ transformer-based language models and BERTopic for topic modeling in crisis contexts like pandemic education shifts. Professional Affiliations: Representative of FEBA in the Assistant's Club at Sofia University. Collaborates with academic and industry partners on data-driven solutions for enterprise digitalization challenges.

• Data Science
• Natural Language Processing
• Machine Learning Applications
• +3 more

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.

• Agent programming
• Intelligent monitoring
• Medical informatics
• +4 more

Yuriy Ushenko is Professor and Head of the Department of Computer Science at Chernivtsi National University named after Yuriy Fedkovych. An Academician of the Academy of Engineering Sciences of Ukraine (2021), he holds a Doctor of Physical and Mathematical Sciences degree with specialization in optics and laser physics. His interdisciplinary work bridges computer science, biomedical engineering, and optical diagnostics. His educational background includes: Master of Telecommunications from Chernivtsi National University (2003, Diploma with honors) Doctor of Physical and Mathematical Sciences (2015) in specialty 01.04.05 – Optics, Laser Physics Professor title in Computer Science (2017) Professor Ushenko's research focuses on information systems design , data mining , pattern recognition , and digital image processing with specialization in laser polarimetry and interferometry . His work pioneers Mueller-matrix tomography and polarization-correlation microscopy for biomedical applications, developing computational methods to analyze biological tissues and fluids for diagnostic purposes. Key innovations include 3D digital polarization-holographic histology for myocardial damage assessment and intelligent systems for disease identification from medical images. His publication trends reveal a strong emphasis on applying machine learning to biomedical imaging and geospatial analysis, with recent work spanning transformer-based lyrics generation, polarization-singular tissue processing, and migration forecasting systems. The research demonstrates consistent translation of theoretical optics into practical diagnostic tools. Scientific recognition includes: Academician of the Academy of Engineering Sciences of Ukraine (2021) As Director of the Bukovinian Innovation Technologies Cluster (since 2019), he leads regional IT initiatives while serving as Associate Editor for the SCOPUS Q3 journal International Journal of Image, Graphics and Signal Processing . His mentorship has guided students to international awards including ICYS silver medals and EUCYS special prizes. Current projects involve developing automated intelligent systems for LLC 'KM Trade' and advancing Mueller-matrix diagnostic techniques through international collaborations with Springer and SPIE conferences. His laboratory work centers on creating computational frameworks for polarization-correlation microscopy, with active teams developing laser autofluorescence polarimetry techniques and digital image processing pipelines for biomedical diagnostics. The research group maintains strong ties with international partners in optical engineering and medical diagnostics.

• Information systems design
• Data mining
• Pattern recognition
• +7 more

Boris Bankov is a software developer and academic professional currently serving as an Assistant Professor at the Department of Informatics in the University of Economics - Varna. His work combines web development expertise with educational innovation. PhD in Informatics and Computer Science Deputy Director at Center for Electronic and Distance Learning Laureate of John Atanasoff Award (2022) His research interests focus on web development, gamification in education, and the intersection between game design principles and enterprise web applications. He has extensive experience working with technologies including PHP Laravel, MySQL, Bootstrap, and Unity/C# game development. Key publication areas include: Learning Management Systems in higher education, Gamification frameworks for educational environments, Responsive web design solutions, and NFT technology analysis. His work has been published in various academic forums since 2017. John Atanasoff Award of the President of Bulgaria (2022)

• Web Development
• Gamification in Education
• Software Engineering
• +7 more

Associate Professor Yakovleva Inna Dmitrievna serves in the Department of Computer Systems and Networks at Chernivtsi National University's Faculty of Physics. With over two decades of academic experience, she has established herself as a prominent researcher in computer architecture and parallel computing. Her career progression from Assistant Professor (2003-2011) to her current Associate Professor position demonstrates her commitment to the institution and field. Her educational background includes a degree from Chernivtsi State University named after Yu. Fedkovych (Faculty of Physics, Department of Computer Science, 1993) followed by candidate studies at Lviv Polytechnic National University (2004-2007). She earned her Candidate of Technical Sciences degree in 2010 with a thesis on "Methods and tools for designing algorithmic operating devices with graphical representation of executed algorithms". Professor Yakovleva's research spans specialized computer systems, theoretical foundations of computer construction, data stream processing, algorithm development, parallelization techniques, and specialized processor design. Her work demonstrates a consistent focus on bridging theoretical computer science with practical hardware implementation, particularly through graphical representations of algorithms. She has made significant contributions to structural matrix representations of algorithm flow graphs and parallel computing architectures. Her publication record shows a strong trajectory in algorithm representation methods, evolving from foundational work on structural matrices to applications in smart home technology, voice control systems, and image processing. Recent publications indicate expanding interests in AI applications while maintaining core expertise in parallel computing and hardware design. Certificate of Appreciation from Ministry of Education (2023) 5 Years of Service Instructor Certificate (2021) Honorary Certificate from Regional Authorities (2019) Multiple EarthRover competition awards (2011-2018) Professional certifications in Linux, Cisco, and ChatGPT technologies Professor Yakovleva teaches System Software, VHDL Design Technology, Linux System Administration, and Cisco NDG Linux Essentials. Her professional development includes numerous certifications reflecting current industry trends. While the text doesn't detail specific mentoring activities, her extensive publication record with multiple co-authors suggests active collaboration with students and colleagues. Her work with research teams is evident through numerous joint publications, particularly with colleagues like Melnyk A.O. and Lisovenko I.D.

• Computer Architecture
• Parallel Computing
• Algorithm Design
• +5 more

Georgi Malchev serves as a Lecturer at New Bulgarian University's Department of Cinema, Advertising and Show Business, teaching courses including Credibility of Advertising Communication (ADVB505), Digital Campaign Practice (ADVB622), Portfolio Development (ADVB800), and Online Advertising Campaigns (ADVB805). With over 25 years of industry experience spanning strategic business management, corporate marketing, and digital advertising, he integrates practical expertise into academic instruction while maintaining active leadership as managing partner of Xplora.bg digital agency. His educational background includes: eMBA from American University in Bulgaria (Magna Cum Laude, 2nd in class) Bachelor's and Master's degrees in International Economic Relations from UNSS Certified Management Consultant (Bulgarian Association of Management Consulting Organizations) CPIM Certification in Production Management (APICS) Malchev's research focuses on digital marketing evolution, consumer behavior analytics, and advertising effectiveness. His work examines generational differences in shopping patterns, data-driven campaign optimization, and integrated digital channel strategies across retail, e-commerce, and B2B sectors. Key interests include the 'messy middle' consumer journey, WOW moment engineering, and adapting marketing frameworks to emerging technologies. His publications analyze contemporary marketing challenges through afterwords for major industry texts, revealing trends toward hyper-personalized consumer experiences, real-time data integration, and agile campaign management. These contributions emphasize bridging theoretical models with practical applications in rapidly evolving digital landscapes. Industry recognition includes: PR Prize 2019 Digital Stars 2019 Travel Awards 2019 PwC's '25 Reasons to Stay in Bulgaria' (2018) Forbes E-volution Awards As mentor for Endeavor, Founder Institute, Eleven, and Launchub, he guides entrepreneurial ventures while serving on award juries for IAB MIXX AWARDS (Strategy Jury President 2020) and Site of the Year competitions. His industry leadership extends to moderating panels at Webit, Retail in Detail, and eCommerce Summit events. At Xplora.bg, Malchev directs a 60+ member team managing digital campaigns for 120+ clients including Tesy, Medix, and Schneider Electric across Bulgaria and Israel, demonstrating applied research through client projects that inform his academic work.

• Digital Marketing
• Advertising
• Consumer Behavior
• +4 more

Ivaila Pantcheva-Kadreva is a Professor at the Department of Analytical Chemistry, Faculty of Chemistry and Pharmacy, Sofia University "St. Kliment Ohridski". The department celebrates a century of contributions to analytical chemistry in Europe, focusing on research areas like atomic spectroscopy, environmental chemistry, and mathematical optimization methods. Education: Not explicitly mentioned in the text. Research Focus: Key areas include Atomic and Molecular Spectroscopy , Radioanalytical Chemistry , and Environmental Chemistry . Awards: No specific awards listed. Students: No formal advisees or students mentioned. Collaborations: Hosted international guests during the 2024 centennial celebrations, including colleagues from the University of Geneva and University of Delaware.

• Atomic and Molecular Spectroscopy
• Radioanalytical Chemistry
• Separation and Enrichment Methods
• +11 more

Assoc. Prof. Dr. Nikolay Netov is the Head of the Department of Statistics and Econometrics at Sofia University's Faculty of Economics and Business Administration. He has extensive experience in international collaborative projects across academia and industry, focusing on interdisciplinary research. His leadership includes roles in the Faculty’s Alumni Association, which boasts over 7,000 members. Research interests span econometric modelling, financial risk assessment (e.g., Value at Risk), AI-driven public sentiment analysis, transportation optimization, and digitalization of public services. Notable achievements include awards for the 'Career in IT' project (2014, 2015), which bridges business and NGOs. His work integrates statistical methods with real-world applications in healthcare, education, and urban planning. Publications highlight contributions to financial engineering (Black-Scholes models), public transport systems (telecom data analytics), and AI applications in policy analysis. He actively promotes digital literacy and sustainable urban development through innovative research methodologies. Key Projects: Career in IT, Data-Driven Public Transport, E-Government Services Analysis Awards: 2014 Best Project Award, 2015 Responsible Business Award Professional Roles: Board Member of Alumni Association, Department Head His research bridges theoretical frameworks (e.g., game theory, intuitionistic fuzzy analysis) with practical societal challenges, emphasizing cross-sector collaboration and tech-driven solutions.

• Statistics
• Econometrics
• Financial Risk Management
• +7 more

Prof. Stanislav Ivanov is a Vice Rector (Research) and Professor at Varna University of Management (VUM), specializing in tourism, hospitality management, and technological advancements in service industries. He serves as Editor-in-Chief of the European Journal of Tourism Research , the first Bulgarian tourism journal indexed in Scopus and Web of Science. His research focuses on automation in tourism, AI applications, service robotics, and future trends in hospitality. Notably, he has authored influential books such as Hotel Marketing and Hotel Revenue Management , and co-edited international volumes with Routledge on topics like future tourism challenges and hotel chain management. Prof. Ivanov’s current projects explore robonomics and AI-driven tourism frameworks. He has received the prestigious Varna Award in Social Studies for his impactful research. Active globally, he has lectured at universities in the UK, USA, and Europe, and contributes to 30+ editorial boards. Editorial leadership: European Journal of Tourism Research (Scopus/Web of Science-indexed) Global collaborations: Guest-lecturing in 8+ countries Author/co-author of 4 books and numerous peer-reviewed articles His research bridges technological innovation and ethical considerations, addressing labor shortages, AI ethics, and sustainable tourism practices. Ongoing projects include Future Tourism in Robot-Based Economy , set for 2019 international publication. He advocates for adaptive education curricula to meet future industry needs.

• Tourism
• Hospitality Management
• Artificial Intelligence in Tourism
• +4 more

Assoc. Prof. Vladimir Georgiev holds a PhD from the Bulgarian Academy of Sciences (2015) and teaches Computer Science at the American University in Bulgaria since 2017. His research focuses on e-Learning technologies, 3D visualization, and cultural heritage digitization. He has led enterprise software projects since 2003. Education: Bachelor's Degree, American University in Bulgaria (2003) Master's Degree, Bulgarian Academy of Sciences (2006) PhD, Bulgarian Academy of Sciences (2015) Research Themes: Georgiev specializes in developing web-based tools for educational applications, including 3D rendering for medical and cultural content. His work emphasizes personalized learning, gamification, and cultural heritage preservation through digital platforms. Article Trends: Recent publications (2021–2024) highlight advancements in gamification, cultural heritage data integration, and VR/3D visualization for educational contexts. Early work focused on 3D web applications and medical informatics systems. Labs/Teams: Engaged in projects using frameworks like Unity, three.js, and Shield UI to create interactive educational modules. Collaborates on initiatives such as the Adivedu platform for preschool learning resources.

• e-Learning
• Data Visualization
• 3D Rendering
• +4 more

Tsonka Velikova is a researcher affiliated with the National Music Academy (NMA) Sofia, focusing on interdisciplinary studies at the intersection of music, performance art, and cultural heritage. Her work bridges scholarly research with practical application through analyses of theatre psychology, music education, and historical composition techniques. Key Affiliation: National Music Academy (NMA) Sofia Research Interests Her research explores: Psychological dimensions of acting as an extension of human experience Historical methodologies in music education (e.g., Aristides Quintilianus) Cultural preservation through choral art and Bulgarian folk traditions Symbolic elements in classical compositions like Scriabin’s sonatas Publications Overview Recent work demonstrates a focus on both artistic and analytical domains, including studies on citation dynamics in academic publishing and the role of improvisation in fostering creativity among students. Her writing often integrates empirical observations with philosophical reflections on art’s societal role. Awards & Grants No awards or grants explicitly mentioned in the provided texts. Teaching & Mentorship While no formal student advisees are listed, her research on pedagogical methods in trombone training and teacher-pianist roles suggests involvement in educational practices.

• Music Education
• Performance Art
• Music History
• +3 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

• Image processing
• 3D visualization
• Virtual Reality
• +7 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).

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