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Plamen Borisov DanailovView profile

Part-Time Lecturer

• Electrical Engineering
• Physics Education
• Vibration Diagnostics
• +5 more

Plamen Borisov Danailov serves as a Part-time Lecturer in the Department of Mathematics, computer science and natural sciences within the Faculty of Economics at Technical University - Gabrovo. Holding a Doctorate in Physical Sciences, his academic position bridges theoretical physics and practical engineering applications despite his placement within an economics faculty. His primary research interests focus on Electrical Engineering , Physics Education , Vibration Diagnostics , and Optoelectronic Sensors . Danailov's work demonstrates a consistent pattern of investigating signal processing techniques for electromechanical systems, particularly focusing on noise reduction and vibration analysis in electrical machines. His research methodology frequently employs optical sensing technologies for non-contact measurement and diagnostics. Analysis of his publication trends reveals a dual focus on both scholarly research and educational development. The majority of his scientific publications (approximately 70%) concern machine diagnostics and signal processing, while the remainder focuses on physics education methodology and textbook development. His work shows consistent productivity across two decades with publications spanning from 1999 to 2020. Danailov has been involved in three significant research projects: "Research on AC machines in terms of noise and vibration" (2015) "Development of electronic teaching materials for remedial physics training" (2013) "Research, monitoring and electromagnetic compatibility of power plants" (2009) His educational contributions include nine physics textbooks and laboratory workbooks designed for university instruction. Danailov frequently collaborates with colleagues including T. Iliev, N. Angelov, and D. Nedeva, suggesting established research partnerships within his institution.

• Educational Technology
• Mathematics Education
• E-Learning Security
• +3 more

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.

Доброслав Данайлов ДанковView profile

Professor

• Power Electronics
• Induction Heating Systems
• Electric Vehicle Technology
• +5 more

Доброслав Данайлов Данков е професор и ръководител на катедра в Технически университет - Габрово, Факултет по Електротехника и Електроника, Катедра Електроника. Той работи в университета от поне 1994 г. и е активен изследовател с над 100 публикации и 20 завършени проекта. Катедрата му се намира в кабинети 2305 и 2315, а контактните му данни включват телефон (066 827)+305,340 и имейли dankov@tugab.bg и dankov@abv.bg. Основните области на научен интерес на проф. Данков включват силова електроника, индукционни системи за нагряване, технологии за електромобили, широколентови полупроводникови елементи (SiC, GaN), безжичен трансфер на енергия и надеждност на електронни системи. Неговите изследвания са фокусирани върху подобряване на ефективността, надеждността и енергийната ефективност на преобразувателни устройства и системи. Той е автор на 9 учебника и учебни помагала, включващи 'Автомобилни електронни системи и диагностика' (2022) и 'Електронно-технологични и индустриални преобразователни устройства и системи' (2021). Анализът на неговите 15 най-нови статии показва ясна тенденция към приложението на нови полупроводникови технологии (GaN и SiC транзистори) в различни електронни системи, специално в индукционни нагреватели и системи за безжичен трансфер на енергия. Има съществен фокус върху надеждността на електронните компоненти и системи, както и върху приложението на тези технологии в електромобилите. Данков активно изследва методи за подобряване на точността при оценка на състоянието на заряда (SOC) и състоянието на здравето (SOH) на батериите за електромобили. Проф. Данков е ръководил четирима докторанта, двама от които са завършили успешно. Той е работил по 20 проекта през периода 1994-2022 г., включващи както вътрешни изследователски проекти в ТУ-Габрово, така и проекти с външно финансиране чрез Националния научен фонд и Оперативната програма 'Наука и образование за интелигентен растеж'. През 2021-2022 г. той е участвал в проекти за разработка на електромобил и модернизация на висшите училища. Той преподава дисциплината 'Автоматизация на проектирането в електрониката' и е написал рецензия за дипломна работа на инж. Камелия Цонева Колева. Данков активно участва в международни конференции като UNITECH и IEEE CIEES, където представя новите си изследвания в областта на силовата електроника и индустриалните преобразувателни системи.

• Management
• Business Planning
• Organizational Behavior
• +7 more

Цанка Маринова Златева-Петкова is a Senior Assistant (academic rank equivalent to Assistant Professor) at the Technical University - Gabrovo, Faculty of Economics, Department of Management. She holds a Doctorate in Economic Sciences and has been actively contributing to both teaching and research in management disciplines. Her academic career spans multiple decades with consistent scholarly output and engagement with practical business challenges. Institution: Technical University - Gabrovo Faculty: Faculty of Economics Department: Management Academic Degree: Doctor (scientific and educational), Economic Sciences Office: Cabinet 6102A Contact: zlateva@dir.bg Dr. Zlateva-Petkova's research interests span a broad spectrum of management disciplines with particular emphasis on organizational behavior, human resources management, business planning, and innovation management. Her work demonstrates a strong interdisciplinary approach, bridging theoretical management concepts with practical applications in engineering and technology sectors. She has developed expertise in measuring organizational effectiveness, managing human resources in crisis situations, and creating innovative management products for companies working in specialized fields like mechatronics and clean technologies. Her scholarly output reveals a clear evolution of research interests over time. Early work focused on fundamental management concepts like business planning and organizational behavior, while more recent publications show increased specialization in innovation management, technological cycles, and the integration of engineering principles with business management. The 15 most recent publications demonstrate her strong focus on Industry 4.0 challenges, technological obsolescence, and the development of practical management tools for contemporary business environments. Her research consistently addresses Bulgarian industry contexts while engaging with international academic discourse. Dr. Zlateva-Petkova has successfully led and participated in multiple research projects at the Technical University - Gabrovo, particularly those related to developing innovative management products and services for companies in specialized technological fields. Her teaching portfolio includes four bachelor's level courses that reflect her research interests: Organizational Behavior, Business Economics, Business Planning, and Engineering. Her textbooks on business planning have become important educational resources in Bulgarian higher education.

NIKOLAY HRISTOV NENOVView profile

Part-Time Lecturer

• Industrial Management
• Electronics
• Electrical Engineering
• +3 more

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
• +3 more

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.

• Mixed Reality
• Computer Simulations
• Visualization
• +3 more

Assoc. Prof. Dr. Ivan Dragov Trenchev serves as an Associate Professor in the Department of Information Systems and Technologies at UniBIT, based in room 308 of UniBIT 2 with contact email i.trenchev@unibit.bg. His research spans Mixed Reality systems, Computer Simulations, Visualization techniques, Electronic Voting security, Cryptography, and Algorithm design—directly reflected in the doctoral theses he supervises that address mixed reality visualizations and vote authentication mechanisms. Current doctoral supervision includes: Alexander Georgiev Girkinin: "Computer simulations and visualizations in a mixed reality system" (co-supervised with Assoc. Prof. Dr. Zhivko A. Velkov, ASOIU doctoral program) Alexander Chobanov: "Methods and algorithms for guaranteeing the authenticity of votes in machine and electronic voting" (ISTICN doctoral program)

• Information Systems
• Software Engineering
• Cybersecurity
• +5 more

Prof. Dr. Ivan Ganchev Garvanov serves as Professor in the Department of Information Systems and Technologies at University of National and World Economy (Sofia, Bulgaria), with office 108 in UniBIT 1 building. He extends his academic supervision to doctoral candidates at American University in Bulgaria (ASOIU), maintaining active cross-institutional collaboration. Primary contact is via email i.garvanov@unibit.bg. His research spans critical technology domains: Information Systems & Software Engineering (specializing in low-code development) Cybersecurity for cloud environments and Internet of Things (IoT) Decision Support Systems for infrastructure modernization Artificial Intelligence applications including image recognition and smart technology solutions Professor Garvanov currently supervises 8 doctoral students across two institutions, with research topics directly reflecting his expertise: software design using low-code platforms, drone detection algorithms, cloud security protocols, IoT cybersecurity frameworks, decision support modeling for street lighting infrastructure, intelligent solutions for smart technologies, and image recognition methodologies. His supervisory approach frequently involves collaboration with other faculty members as evidenced by co-supervision arrangements. While no scientific awards or laboratory affiliations are documented in available sources, his sustained doctoral supervision across multiple complex research areas demonstrates significant academic contribution. Prospective students should possess strong foundations in computer science with specialization aligning to his active research domains.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +3 more

Prof. Elena Dikova Shoikova-Stoyanova serves as Professor in the Department of Computer Science at UniBIT, maintaining an active research and doctoral supervision profile. Her institutional affiliations include primary appointment at UniBIT and cross-appointment as Doctoral Supervisor for programs at ASOIU and ISTICN. Research focuses span: Human-Computer Interaction methodologies Immersive technology development (Virtual Reality, Augmented Reality, 3D modeling) User Experience (UX) design systems Big Data Analytics for Internet of Things infrastructure Current projects include modeling tools for AR/VR user experiences and IoT-based big data analysis frameworks. She supervises PhD candidates including Victoria Vasileva Muchanova and Lyubomir Ivanov Gotsev, with collaborations spanning multiple doctoral programs. Her operational base is UniBIT 2 (Office 104), contactable via edshoikova@unibit.bg.

• Visual Arts
• Graphic Design
• Visual Communication
• +5 more

Ivailo Saraliyski serves as an Assistant Professor in the Department of Arts and Design at New Bulgarian University (NBU), teaching core courses in Visual Media, Advertising and Vector Design (Adobe Illustrator), and Computer Layout Design of Printed Matter (InDesign). Concurrently, he operates as a creative director at CreateX digital agency, merging academic rigor with professional design practice. His academic credentials include: Bachelor's degree in Graphics from the National Academy of Arts (2016) Master's degree in Poster and Visual Communication from the National Academy of Arts (2018) Doctoral degree in Visual Arts from New Bulgarian University (2023) Saraliyski's research bridges historical art analysis and digital frontiers, with primary focus on Tarot symbolism's evolution from Renaissance to contemporary contexts. His work examines how Tarot iconography transforms across cultural movements while maintaining relevance in modern visual communication. Secondary research trajectories explore NFT ecosystems, generative art algorithms, and AI's disruptive impact on artistic originality, positioning him at the intersection of tradition and technological innovation in visual culture. His publication pattern (2022-2025) reveals a clear scholarly trajectory: early works establish foundational Tarot scholarship (2022-2023), while recent outputs pivot decisively toward digital disruption (2024-2025). This evolution demonstrates increasing engagement with blockchain art markets and machine learning's creative implications, reflecting broader shifts in art historical methodology toward technology-integrated analysis. Saraliyski maintains active artistic practice through exhibitions like "LET THERE BE LIGHT" (2020) and "LET THERE BE COLOR" (2021), while his professional role at CreateX facilitates real-world application of academic research. His office hours operate across physical (NBU II Building) and virtual (Google Meet) spaces, emphasizing accessibility for students navigating both traditional and digital art domains.

• Molecular Biology
• Bioinformatics
• Computational Biology
• +3 more

Kiril Kirilov serves as an Assistant Professor in the Department of Biological Sciences at New Bulgarian University (NBU) since 2022, following 15 years of research at the Institute of Molecular Biology, Bulgarian Academy of Sciences (IMB-BAS) where he completed his PhD dissertation on bacterial and mitochondrial codon usage. His academic foundation includes specialized bioinformatics training at Italy's International Centre for Genetic Engineering and Biotechnology (2003) and Canada's Carleton University (2013). His educational milestones feature: Master's degree in Engineer Biotechnologist from the University of Chemical Technology and Metallurgy, Sofia (2001) PhD in Molecular Biology from the Institute of Molecular Biology, Bulgarian Academy of Sciences (2014) Kirilov's research operates at the intersection of computational and experimental biology, with three dominant thematic clusters emerging from his publication record. His foundational work in bioinformatics focuses on codon usage patterns across bacterial and mitochondrial genomes, developing specialized algorithms for genomic analysis. A significant experimental stream investigates glycation processes in aging and disease, examining molecular interactions between compounds like L-lysine and proteins such as histone H1. Most recently, his work has expanded into neurodegenerative disease mechanisms , exploring neurotensin analogs for Parkinson's disease and novel galantamine derivatives for Alzheimer's treatment, often incorporating nutraceutical approaches like lycopene analysis. His publication trajectory reveals a strategic evolution from pure molecular genetics toward translational biomedical applications, consistently applying computational rigor across diverse biological systems. The 2023 Parkinson's disease study exemplifies this integration, combining receptor pharmacology with animal model validation. Patent development for chemistry education tools further demonstrates his commitment to knowledge transfer beyond traditional academic boundaries. At NBU, Kirilov teaches GENB093 History of Science while maintaining active research collaborations across Bulgarian academic institutions, with email correspondence facilitated through kkirilov@nbu.bg.

• Statistics
• Probability Theory
• Statistical Applications
• +4 more

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.

• Textile Design
• Computer-Generated Design
• Fashion Design
• +5 more

Prof. Emilia Panayotova serves as a Professor in the Department of Design at New Bulgarian University (NBU), teaching core courses including Fundamentals of Design (Parts 1-2), Printing Techniques in Textile (Part 2), and Unique Techniques in Textile (Parts 1-2). Her academic position is explicitly listed as 'професор' (Professor) in institutional records. Her research spans Textile Design, Computer-Generated Design, Fashion Design, Visual Arts, Sustainable Design, Eco-Design, and Social Aspects of Fashion. She has realized over 360 industrial textile projects for clothing and public interior spaces, alongside 40+ public interior artworks exhibited globally from Sofia to São Paulo. Her artistic works are permanently held in the National Art Gallery (Sofia), Museum of Decorative and Applied Arts (Sofia), Sofia City Art Gallery, and Yambol Art Gallery. Prof. Panayotova's publications reveal strong thematic trends: sustainable design frameworks (2013-2015), eco-design processes (2014), social functions of fashion (2014), and systemic approaches to design (2012-2015). Her work bridges practical textile innovation with theoretical explorations of fashion's societal role and environmental impact. Award from Union of Bulgarian Artists for Decorative Applied Arts ('In the Studio') Award from Union of Bulgarian Artists, Textile Section ('Conversation') She maintains active creative affiliations as a member of the Union of Bulgarian Artists' Sections for Monumental Arts and Textile, plus the 'Texart' creative association. Her international exhibition history includes Ministry of Culture-sponsored projects in Prague (2009), Vienna (2008), and Bratislava (2007), alongside solo exhibitions at Sofia City Art Gallery (2003) and Gallery 'Art Alley' (2014).

• Electronic Music
• Computer Music
• Sound Design
• +5 more

Assoc. Prof. Rositsa Becheva, PhD is a faculty member at Nov Bulgarian University's Faculty of Music, Department of Music, specializing in electronic and computer music. With a PhD in Musicology and Music Art (2004), she has been instrumental in developing electronic music education in Bulgaria since 2000. Her educational background includes: Bachelor's in Piano (1983, Plovdiv Music School); Master's in Music Theory (1990, State Music Academy 'Prof. Pancho Vladigerov'); Postgraduate Qualification in Music Pedagogy (1997, Academy for Musical and Dance Arts-Plovdiv); and PhD (2004, NBU). Becheva's research focuses on digital arts, sound design, computer music, synthesizer methodology, and music technology integration in pedagogy. She pioneered Bulgaria's first synthesizer teaching methodology and developed innovative courses including 'Electronic Music Interpretation' and 'E-sound – live electronic, sound design and music production'. Her publication portfolio spans monographs like 'In the World of Simo Lazarov's Electronic Music' (2018) to technical papers on sound production, noise emancipation, and multimedia integration. Her work demonstrates consistent exploration of electronic sound organization, timbre concepts, and performance practices. Crystal Lyre Award 2016 (Sound and Sound Design) Book of the Year 2018 Special Award New Bulgarian Music 2019 Award for Musicology Becheva actively mentors students through projects like the 'E-SOUND AND VISION' concert series and the 'Electronic Music Interpretation' seminar. She co-founded NBU's 'Stanislav Stanchiev-Stanley' Research and Practice Center for Computer Music and Sound Design, organizing annual events including the 'Universe of Computer Music' festival since 2000. Her creative work integrates electronic music with visual arts through multimedia projects and interdisciplinary happenings.

• Algorithms
• Regression Analysis
• Machine Learning
• +3 more

Slav Angelov is a Senior Lecturer in the Department of Informatics at New Bulgarian University (NBU), serving since September 2017. He teaches core courses including Applied Mathematics for Economists, Quantitative Methods in Management, Probability and Statistics, and Knowledge Extraction from Data, while contributing to NBU's joint program with the University of Sheffield. His academic credentials include: Master's degree with honors in Optimization from Sofia University "St. Kliment Ohridski" (2014) PhD in Computer Science and Informatics from NBU (2019), dissertation: "Computer Simulation and Assessment of Corporate Risks" Dr. Angelov's research focuses on statistical modeling and algorithmic development, with expertise in regression analysis (particularly multicollinearity solutions and cross-validation techniques), machine learning applications, and knowledge extraction systems. His work bridges theoretical statistics with practical implementations in energy forecasting and bioinformatics. His publication record reveals a consistent research trajectory centered on advancing regression methodologies across diverse domains. Key contributions include modified regression techniques for risk assessment and educational frameworks for data mining pedagogy, demonstrating dual expertise in methodological innovation and curriculum development. He has been an integral member of NBU's Center for Risk Management, leading analytical work on critical national infrastructure projects including the Belene Nuclear Power Plant, Balkan gas hub development, and long-term electricity consumption forecasting for Bulgaria through 2030.