جست‌وجوی استاد و پژوهشگر

Доброслав Данайлов Данковمشاهده پروفایل

استاد

• Power Electronics
• Induction Heating Systems
• Electric Vehicle Technology
• +۵ مورد دیگر

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.

• Information Systems
• Big Data
• Algorithms
• +۳ مورد دیگر

Prof. Dr. Georgi Petrov Dimitrov serves as Professor in the Department of Information Systems and Technologies at the University of Information Technology and Management, Ruse. His academic work centers on applied information systems research with significant supervision of doctoral candidates across multiple programs. His research portfolio demonstrates strong interdisciplinary focus through doctoral theses supervision in key technological domains: Optimization methodologies for information systems development Big Data integration frameworks for consumer data platforms Sound signal processing algorithms for object detection Energy efficiency solutions in Smart Home ecosystems Prof. Dimitrov currently guides four doctoral students through their research in the ASOIU and ISTICN programs. His supervision approach spans both theoretical algorithm development and practical implementation challenges in emerging technology domains, with particular emphasis on real-world applicability of research outcomes.

• Economics
• International Economic Relations
• Financial Risk Management
• +۴ مورد دیگر

Sergey Rumyanov Radukanov is an Associate Professor with a PhD at the Department of Economic Theory and International Economic Relations within the Faculty of Mathematics and Informatics at St. Cyril and St. Methodius University of Veliko Turnovo. He maintains an active academic profile with significant contributions to economic research, particularly in financial risk management, banking, monetary policy, and agricultural economics. His work bridges theoretical economic principles with practical applications in the Bulgarian and international contexts. Professor Radukanov's research interests span several key areas of economics, with particular focus on financial risk assessment methodologies, banking sector efficiency, monetary policy frameworks, and international economic relations. His work demonstrates a strong interdisciplinary approach, connecting economic theory with data science applications, particularly in outlier detection and statistical analysis of economic data. He has made significant contributions to understanding the Bulgarian banking sector, currency board mechanisms, and the economic impacts of global events such as the COVID-19 pandemic. An analysis of his recent publications reveals consistent scholarly output across multiple high-impact journals and conference proceedings. His work shows a clear trajectory from foundational economic theory toward increasingly specialized applications in risk management and data analysis. A notable trend is his growing focus on agricultural economics, particularly examining resource efficiency, food security, and the impacts of digital technologies on agricultural production. His research increasingly incorporates interdisciplinary approaches, merging economic analysis with data science techniques. Professor Radukanov has been actively involved in significant research projects including 'University Television,' 'Application and Transfer in Practice of Innovative Research Instrument for Rural Areas,' and 'Socio-Economic Compass of Rural Areas in Bulgaria.' These projects demonstrate his commitment to applying economic research to real-world challenges, particularly in rural development and regional economic policy. His scholarly output includes numerous monographs, textbooks, and research articles, with recent publications appearing in Scopus-indexed journals and conference proceedings. His work has been published by reputable academic presses including IGI Global Scientific Publishing, ACCESS Press, and the university's own publishing house. Professor Radukanov maintains an active research profile with publications spanning from 2010 to the present, demonstrating sustained scholarly productivity throughout his academic career.

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

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

• Algorithms
• Regression Analysis
• Machine Learning
• +۳ مورد دیگر

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.

Martin Georgievمشاهده پروفایل

مدرس ارشد

• Architectural Design
• Parametric Design
• Algorithmic Design
• +۴ مورد دیگر

Martin Georgiev serves as a Senior Lecturer at the University of Architecture, Civil Engineering and Geodesy (UACEG) in Sofia, Bulgaria, within the Faculty of Architecture's Department of Residential Buildings. He maintains regular office hours on Tuesdays and Fridays from 1:00 PM to 2:00 PM in Cabinet 1025. His educational background includes: Doctor of Architecture from UACEG's Faculty of Architecture, Department of Residential Buildings (2020-2023) Professional field 5.7 "Architecture, Construction and Geodesy" with scientific specialty in "Architecture of Buildings, Structures, Facilities and Details" Master's degree in Architecture from UACEG, Faculty of Arts (1998-2004) Secondary education at First English Language High School in Sofia (1992-1997) Dr. Georgiev's research focuses on the intersection of computational methods and architectural design, particularly emphasizing parametric, algorithmic, and generative design approaches applied to residential buildings. His work explores how digital tools can be integrated into early design phases to optimize construction processes through data-driven methodologies. He has developed specialized expertise in architectural modeling using digital tools, which forms the basis of his doctoral research on construction and optimization of residential buildings through data and algorithms. His recent publications demonstrate a clear trajectory toward computational design solutions in architecture, with emphasis on practical applications of data and algorithms in residential building design. The research shows particular attention to optimizing construction processes through digital methodologies. Dr. Georgiev actively participates in architectural practice through associations with geoarchitects.eu and capitalfort.com, bridging academic research with professional design work. His teaching responsibilities encompass multiple residential buildings courses across the 3rd, 4th, and 5th year curriculum, including specialized projects and lectures on digital architectural modeling techniques.

Martin Evlogievمشاهده پروفایل

استادیار

• Architectural Design
• Computer Technologies in Architecture
• Artificial Intelligence in Architecture
• +۴ مورد دیگر

Martin Evlogiev is an Assistant Professor at the Department of Architectural Technology, Faculty of Architecture, University of Architecture, Civil Engineering and Geodesy (UACEG) in Sofia, Bulgaria. He has been teaching since April 2022, with previous experience as a part-time lecturer from February to April 2022. His teaching responsibilities include courses on computer technologies in architecture, building construction, and architectural structures for various year levels. Dr. Evlogiev received his architectural education at UACEG, Faculty of Architecture, where he completed his Master's degree in Architecture specialization with a focus on "Public Buildings" between 2009 and 2015. His earlier education includes attending secondary schools "Lev Nikolaevich Tolstoy" (1997-2004) and "Alexander Sergeyevich Pushkin" (2004-2009) in Sofia. He further enhanced his expertise with a Specialized Course in Cultural Heritage Conservation at Ecole de Chaillot from 2017 to 2019. Martin Evlogiev's research focuses on the intersection of architecture and advanced digital technologies. His work explores how artificial intelligence, building information modeling (BIM), and 3D visualization tools can transform architectural design processes and education. He investigates both the technical applications and ethical implications of these technologies in architectural practice. His research spans from practical software implementation challenges to broader questions about how digital tools reshape creative workflows and professional standards in architecture. His recent publications demonstrate a strong focus on artificial intelligence applications in architecture, with particular attention to visualization techniques, ethical considerations, and design automation. He also conducts research on educational aspects of technology adoption in architectural curricula and explores specialized applications of BIM and virtual reality in architectural practice. Dr. Evlogiev has received numerous awards and recognitions for his work: November 2024: Special Prize by Chaos for great contribution at AEC Hackathon in Sofia October 2022: Nomination in the "Computer Graphics" category at International Computer Art Forum "Computer Space" November 2020: Audience Award at Sixth national exhibition-competition for graduate thesis December 2019: First Prize in Logo Competition for the "Bulgarian Flying Disc Federation" September 2014: First prize as part of "Niconsult" team in Competition for the reconstruction of the monument "1300 years of Bulgaria" December 2013: Audience Award at Sofia Architectural Hall October 2013: First Prize in "Architecture" - Highest Architectural Potential Award at ArchHackathon April 2013: Special Award at Positive/Negative Competition May 2013: Third prize at "Keep caml & make DVOR" competition With extensive professional experience in architectural practice since 2013, Dr. Evlogiev brings real-world insights to his academic work. He has worked at firms including "Archont" (2019-2025), "Ivo Petrov Architects" (2015-2019), and "Niconsult" (2014-2015). His practical experience spans architectural design, computer-generated architecture, and internships at various architectural studios. He is also actively involved in research projects, including the "Sozopol 2021 Architectural Studio" analyzing the historic center of Sozopol. Dr. Evlogiev is a member of several professional organizations including CAB (with PPP), SAB ("SPA 15" Company, where he serves as Deputy Chairman), and BANHA. He is currently pursuing doctoral studies independently since 2025 and continues to develop his expertise in advanced architectural technologies.

• CNC Machine Technology
• Parallel Kinematics Equipment
• CAD/CAM Systems
• +۵ مورد دیگر

Dr. Yosif Mitev Mitev serves as a Part-time Lecturer at the Technical University of Gabrovo within the Faculty of Mechanical Engineering and Instrument Making, Department of Mechanical Engineering and Technologies. Holding a Doctorate in Technical Sciences with scientific and educational focus, he contributes to both teaching and research activities at the university. Dr. Mitev's research interests center on CNC machine technology, parallel kinematics equipment, CAD/CAM systems, and mechanical engineering design. His work spans metal cutting processes, tooling and fixture design automation, manufacturing process optimization, and production prototyping. He has developed methodologies for automated design of technological processes and programming of machinery. His publication record shows consistent contributions to manufacturing engineering, with recent work focusing on gear machining, tool monitoring systems, and parallel kinematics applications. The publications demonstrate a progression from fundamental machine design to advanced manufacturing process optimization and automation. Dr. Mitev has supervised five doctoral students working on topics including ceramic prototyping, milling machine modernization, tooth profile processing, modular tool systems, and injection mold optimization using 3D printing methods. He has participated in four research projects at TU Gabrovo focused on parallel kinematics equipment, modern design methods for technological processes, and manufacturing prototyping in scientific research and training. His teaching portfolio includes courses on production automation, CNC machine programming and operation, digital program control systems, and CAD/CAM systems in mechanical engineering.

Miroslav Leventov Kokalarovمشاهده پروفایل

استادیار

• Photogrammetry and stereophotogrammetry
• Metrology and measurement systems
• Mechanical engineering applications
• +۶ مورد دیگر

Miroslav Leventov Kokalarov is an Assistant Professor at the Department of Mechanical Engineering and Instrumentation Engineering, Faculty of Mechanical Engineering and Instrumentation Engineering, Technical University - Gabrovo. He serves as the Responsible for Admission of Candidates at the faculty and maintains an active research profile in metrology and mechanical engineering applications. Dr. Kokalarov's research focuses on photogrammetric and stereophotogrammetric measurement methods, with particular emphasis on their application in mechanical engineering, industrial production, and heavy machinery. His work spans multiple areas including: Precision measurement systems for mechanical components Error analysis and uncertainty budgeting in measurement processes Contactless measurement techniques for gears and complex geometries Application of photogrammetry in deformation analysis of engineering structures Development of cost-effective measurement methodologies using standard equipment His recent publications (2022-2024) show a strong trend toward practical industrial applications of photogrammetric methods, with increasing focus on real-time monitoring, integration with standard computational devices, and optimization for specific industrial contexts. The research demonstrates a clear progression from theoretical foundations to practical implementation across various mechanical engineering domains. Dr. Kokalarov has supervised numerous diploma theses, as evidenced by his written reviews of at least 10 student works covering topics from risk management to mechanical design and quality control systems. His supervisory work spans multiple engineering disciplines, indicating a broad advisory role within the university.