جستجوی استاد راهنمای دانشگاهی

• Data Science
• Natural Language Processing
• Machine Learning Applications
• +۳ مورد دیگر

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.

• Epistemology
• Philosophy of Science
• Ethics
• +۴ مورد دیگر

Assoc. Prof. PhD Anna Marinova Ivanova is a faculty member at the Faculty of Philosophy within the University of Veliko Tarnovo . She specializes in Epistemology , Philosophy of Science , and Ethics , with a focus on epistemic justification , scientific objectivity , and intercultural philosophical discourse . ORCID: 0000-0002-1312-5684 University email: anna.ivanova@ts.uni-vt.bg Ivanova's research explores the intersection of epistemic norms and linguistic frameworks , as seen in her work on testimony theory , teleological concepts in biology , and critical thinking in multicultural contexts . Her recent publications analyze scientific skepticism , metaphilosophical status of knowledge theories , and axiological dimensions of scientific trustworthiness . Key project involvements include: Laboratory for Applied Academic Ethics (2023-2025): Modernizing facilities for research ethics , academic integrity , and interdisciplinary studies . International Scientific Networks (2021-2025): Collaborative research on epistemological trends , philosophy of education , and global philosophical dialogues . History of Bulgarian Humanitarian Thought (2021-2024): Critical examination of Bulgarian philosophical traditions , science-philosophy intersections , and epistemological methodologies . She contributes to academic community building through: Co-organizing international conferences like "30 Years of Philosophy Specialization" (2022) and "Philosophy, Science, Values" (2024) Coordinating the International Student Philosophical Essay Contest (2025) to bridge high school and university education Advancing WoS-indexed publications and international research networks with Serbian, Polish, and Romanian institutions

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.

Ivan Kolev Koichevمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۲ مورد دیگر

Ivan Kolev Koichev is a Professor at the Department of Software Technologies within the Faculty of Mathematics and Informatics at Sofia University 'St Kliment Ohridski'. He serves as the Director of the MSc program in Information Retrieval and Knowledge Discovery and Head of the Department of Software Technologies Education. His research spans Artificial Intelligence, Machine Learning, Natural Language Processing, and Information Retrieval. MSc in Applied Mathematics (1988), Sofia University PhD in Computer Science (1998), Bulgarian Academy of Sciences Postdoc Fellowships at GMD Germany (1999-2002) and Robert Gordon University UK (2002-2005) His work focuses on adaptive learning systems, fact-checking, author obfuscation, and community question-answering frameworks. Key publications address concept drift adaptation, political debate analysis, image claim verification, and credible news detection. He collaborates extensively with researchers like Preslav Nakov and Momchil Hardalov. He has contributed to SemEval-2016 Task 3 and developed the LEAF multiple-choice question generation system. His research integrates linguistic analysis, credibility assessment, and algorithmic innovation across multidisciplinary domains.

• Musicology
• Polyphony
• Choral Conducting
• +۳ مورد دیگر

Prof. Yavor Konov, PhD is a Bulgarian musicologist, professor at New Bulgarian University's Department of Music, and a distinguished scholar in polyphony and Baroque music. He has held academic positions at Sofia University, National Academy for Theatre and Film Arts, and South-West University "Neofit Rilski". Education: Graduated from National Music School "Lyubomir Pipkov" (1983), National Music Academy in Sofia with specializations in musicology (polyphony) and choral conducting (1991). Doctorate in Arts (1998), Doctor of Arts (2006). His research focuses on polyphony, Baroque music theory, historical performance practices, and music lexicography. He has established international recognition through collaborations with institutions like the Center for Baroque Music in Versailles and the Sorbonne's Faculty of Music and Musicology. The 15 most recent publications demonstrate expertise in musicological translations, contrapuntal theory, and Baroque-era treatises. Key works include annotated translations of de Saint-Lambert's harpsichord treatises and studies on Sebastian de Brossard's Dictionary of Music. Scientific Awards: Multiple "Book of the Year" awards from the Union of Bulgarian Composers, Musicologists section. Konov's students benefit from his extensive research background through practical applications in music education, performance, and theoretical studies. He has directed the University Resource Center for Francophone Studies since 2008.

• Modal Logic
• Dynamic Logic
• Theoretical Computer Science
• +۳ مورد دیگر

Tinko Velichkov Tinchev is a Professor and Researcher at the Faculty of Mathematics and Informatics (FMI), Sofia University "St. Kliment Ohridski". His research focuses on Modal Logic , Dynamic Logic , and Formal Methods , particularly in applications to spatial reasoning and theoretical computer science. Email: tinko@fmi.uni-sofia.bg Office Hours: Thursday 11-12, Friday 13:30-15:30 His work spans geometric reasoning , equivalence relations , and knowledge representation . Publications include collaborations on region-based theories of space , affine reasoning , and modal operators for logical systems.

Aleksandar Dimov Dimovمشاهده پروفایل

دانشیار

• Software Reliability Engineering
• Neuro-Fuzzy Systems
• Machine Learning
• +۵ مورد دیگر

Aleksandar Dimov Dimov is an Associate Professor at the Department of Software Technologies, Faculty of Mathematics and Informatics (FMI), University of Sofia. He specializes in software reliability engineering, neuro-fuzzy systems, and cloud computing architectures. His research focuses on optimizing software systems through adaptive methodologies and addressing challenges in distributed computing environments. His work spans over two decades, with contributions to neuro-fuzzy optimization for manufacturing, machine learning applications in healthcare, and architectural patterns for scalable systems. Key areas include improving software reliability models, cloud storage performance, and privacy-preserving software design. He has published extensively on topics like microservices, service-oriented architectures, and educational technology. Dr. Dimov's publications reflect a strong emphasis on practical solutions for real-world challenges in software engineering and data systems. His research bridges theoretical models with applied implementations, particularly in domains requiring high precision and adaptability.

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.

Ushenko Yuriy Oleksandrovychمشاهده پروفایل

استاد

• Information systems design
• Data mining
• Pattern recognition
• +۷ مورد دیگر

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.

• Bulgarian Linguistics
• Phraseology
• Computer Terminology
• +۳ مورد دیگر

Anita Ivanova Todoranova-Dushkova serves as a Lecturer in the Department of Modern Bulgarian Language within the Faculty of Modern Languages at St. Cyril and St. Methodius University of Veliko Turnovo. Her academic work focuses on contemporary Bulgarian linguistics with particular attention to how digital communication and technological advancement influence language structure and usage. She actively participates in academic discourse through conference presentations and scholarly publications addressing current linguistic challenges in the digital age. Dr. Todoranova-Dushkova's research interests center on Bulgarian phraseology, computer terminology, spelling norms, and digital communication linguistics. Her work examines how modern technology affects traditional language structures, particularly in the areas of orthography and phraseological units. She conducts comparative analyses between Bulgarian and Romanian languages, exploring shared linguistic features and cultural connections through lexical items related to concepts like money, water, and bread. Her research increasingly addresses the intersection of artificial intelligence and language processing, investigating how computational approaches interact with human linguistic intuition. Her recent publications reveal a clear trend toward examining digital language evolution, with numerous studies on how the digital generation approaches writing conventions, spelling norms, and technical terminology. She analyzes contemporary linguistic phenomena such as internet lexemes with computer-related roots (bug, crash) and investigates how crisis situations affect language use and humor. Her work bridges traditional linguistic scholarship with emerging digital communication patterns, making significant contributions to understanding modern Bulgarian language evolution. Dr. Todoranova-Dushkova regularly contributes to national and international academic conferences focused on digital transformation of education, language standardization, and phraseological studies. Her scholarly output appears in reputable Bulgarian academic journals and conference proceedings, demonstrating consistent research productivity through 2025. While specific information about her teaching responsibilities isn't detailed in the available materials, her position as Lecturer suggests active involvement in undergraduate language instruction. Her research focus on digital communication and modern language usage likely informs contemporary approaches to language teaching at the university level.

Boris Bankovمشاهده پروفایل

استادیار

• Web Development
• Gamification in Education
• Software Engineering
• +۷ مورد دیگر

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)

• Statistics
• Econometrics
• Financial Risk Modeling
• +۵ مورد دیگر

Assoc. Prof. Nikolay Chudomirov Netov serves as Head of the Department of Statistics and Econometrics at Sofia University's Faculty of Economics and Business Administration, with over fifteen years of experience in international scientific, applied, and educational projects across global collaborations. His research spans critical interdisciplinary domains: Financial Risk Modeling (Value at Risk, Black-Scholes algorithms, stock market forecasting) Transportation Analytics (telecom data-driven public transport optimization, passenger flow modeling) Public Policy & Digitalization (e-government services, citizen sentiment analysis using transformer models) Public Health (vaccination patterns, screen time evaluation, autoimmune disease modeling) Recent publications reveal accelerating convergence of advanced computational techniques with societal challenges, particularly through: Transformer-based NLP for granular public sentiment/emotion analysis in government domains Anonymized telecommunications data applications for sustainable urban mobility solutions Hybrid mathematical-statistical frameworks for financial and biological systems Scientific recognition includes: Annual award for "Career in IT" project (2014) Responsible Business Award in "Investor in Knowledge" category (2015) Netov actively bridges academia-business divides through project leadership, notably as Board Director of FEBA's Alumni Association (Bulgaria's largest with 7,000+ members). His "Career in IT" initiative exemplifies successful NGO-business-academia partnerships, while current research focuses on data-driven public service optimization and financial risk modeling. Departmental leadership combines with international project coordination to advance Sofia University's research profile in computational social sciences.

• Virology
• Plant Pathology
• Molecular Biology
• +۴ مورد دیگر

Assoc. Prof. Nikolay Manchev Petrov serves as Associate Professor and Director of the Program Council for Biological Sciences in the Department of Natural Sciences at New Bulgarian University (NBU), where he has held academic positions since 2016. His career spans plant virology research, molecular biology instruction, and leadership in biological sciences education. Education: 1990-1995: Language Gymnasium G.P.C.H.E. "Romain Rolland" (Stara Zagora) - English, Russian, French 1998-2002: BSc Molecular Biology, Sofia University "St. Kliment Ohridski" 2002-2004: MSc Virology, Sofia University "St. Kliment Ohridski" 2012: PhD Plant Protection (Phytopathology - Plant Virology), Institute of Soil Science, Agrotechnologies and Plant Protection "Nikola Pushkarov" 2016: PhD Biological Sciences (Virology), Institute of Microbiology "Stefan Angelov" (Bulgarian Academy of Sciences) Research Focus: Dr. Petrov's work centers on viral pathogenesis in both plant (Potato virus Y, Pepper viruses) and animal systems (Coxsackievirus), employing RNA interference and gene silencing techniques for disease control. His research integrates molecular diagnostics , bioinformatics , and ecological management strategies to develop sustainable agricultural solutions. Recent publications demonstrate increasing emphasis on computational virology and CRISPR applications. Publication Trends: His 15 most recent publications (2022-2025) reveal a strategic shift toward RNAi-based crop protection, virus biodiversity characterization, and next-generation sequencing applications. Key themes include silencing viral genes (HC-Pro, NIa, VP1), managing Solanaceae crop viruses, and developing computational analysis frameworks - reflecting convergence of molecular biology, bioinformatics, and sustainable agriculture. Research Leadership: Dr. Petrov has directed 21 scientific projects including EU Framework Programme initiatives (6th/7th FP), bilateral collaborations (India, Vietnam, Ukraine), and national projects. His work bridges fundamental virology with practical agricultural applications through COST Actions and local research programs at NBU.

• Electronics in Telecommunications
• Radio Transmitters
• Educational Technologies
• +۳ مورد دیگر

Dr. Tereza Stefanova is an Associate Professor in the Department of Telecommunications at the Faculty for Basic Education of New Bulgarian University (NBU). She has been a tenured faculty member at NBU since 2003, teaching courses in telecommunications and computer technology at both undergraduate and graduate levels. Previously, she served as a part-time/honored faculty member from 1998-2003. Her educational background includes: Doctorate in Professional Field 5.3 "Communication and Computer Technology" (2013) Doctorate at NBU in "Theoretical foundations of communication technology" (2008) Engineer in Electronics and Automation from Technical University, Sofia (1988-1993) Professional Pedagogy from Technical University, Sofia (1994-1995) English Language specialization (1994) Dr. Stefanova's research focuses on Electronics in Telecommunications , Modern Radio Transmitters , and Educational Technologies . Her work spans both theoretical aspects of telecommunications engineering and practical applications in educational settings. She has extensively studied the implementation of modern teaching methods in engineering education, including blended learning, distance learning, and the integration of multimedia technologies in the classroom. Her recent research has increasingly focused on emerging technologies such as 5G networks, Internet of Things (IoT), and the application of artificial intelligence in telecommunications. She has published numerous articles analyzing employment trends for ICT specialists and the alignment between educational programs and industry needs. Dr. Stefanova has been actively involved in educational projects, including: Project "Improving interdisciplinary skills and business interaction of telecommunications specialists" (2013-2015) Project H2020-MSCA-NIGHT-2018-818757 K-TRIO 3, "European Night of Scientists" (2018) Development of multimedia teaching formats at NBU Projects for improving educational infrastructure for telecommunications courses She has held several administrative roles at NBU, including Program Consultant for the "Telecommunications and Computer Technologies" Bachelor's program (2016-2018) and member of the Accreditation Committee since 2012. Dr. Stefanova is also a member of the Bulgarian Federation of Radio Amateurs (BFRA).

• Communication Theory
• Linguistics
• Digital Humanities
• +۱۰ مورد دیگر

Lyudmil Duridanov is a communication theorist and Research Fellow at New Bulgarian University , with an Adjunct Professor affiliation at the School of Computer, Data & Mathematical Sciences (Western Sydney University). He holds a PhD in Philosophy and Linguistics from Albert Ludwig University Freiburg (2000), focusing on religious/political aspects of icon visual language, and an MA in Bulgarian Philology (1988). His interdisciplinary approach bridges historical semantics, social media psychology, and AI ethics. Graduate: Master's in Bulgarian Philology (St. Kliment Ohridski University, 1988) PhD: Philosophy and Linguistics (Albert Ludwig University Freiburg, 2000) Research spans Byzantine-Ottoman cultural/religious traditions , digital humanities , AI ethics , and game design for educational purposes. Current work examines AI's impact on humanities and visual language fluidity in digital environments. Recent publications analyze AI ethics , digital education tools , and game-based learning for ASD children , reflecting his focus on emerging technologies and cultural preservation . Collaborative projects with Prof. Simeon Simoff explore prompt engineering and NLP challenges .