جست‌وجوی استاد و پژوهشگر

• E-Learning Systems
• Object-Oriented Modeling
• ICT Integration in Education
• +۵ مورد دیگر

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

Vasil Tsvetkovمشاهده پروفایل

استادیار

• Statistics
• Informatics
• Geodesy
• +۳ مورد دیگر

Vasil Tsvetkov serves as an Assistant Professor at the University of Architecture, Civil Engineering and Geodesy (UACEG) within the Faculty of Geodesy, Department of Applied Geodesy. He maintains regular office hours in Cabinet 315a on Mondays (13:00-14:00) and Wednesdays (9:00-10:00), actively engaging with students and colleagues. Dr. Tsvetkov earned his Doctorate through the Higher Educational Certification Commission on August 29, 2005, building upon his Master of Science in Engineering Geodesy from UACEG (July 7, 1998). Proficient in English and Russian, he contributes to both academic and practical domains of geodetic science. His research program focuses on statistical methods in geodesy, particularly examining precise leveling networks, error propagation, and adjustment calculations. Dr. Tsvetkov has developed innovative approaches to refraction corrections, network optimization, and statistical testing specifically tailored for high-precision geodetic measurements. Analysis of his recent publications reveals consistent focus on improving leveling network accuracy through novel weighting methods, addressing systematic errors, and developing specialized adjustment algorithms. His work bridges theoretical statistics with practical surveying applications, particularly in infrastructure and environmental monitoring contexts. Member of KIIP - PPP part Geodesy Author of the book "Alignment of high-precision leveling networks" Recipient of multiple research opportunities through major infrastructure projects Dr. Tsvetkov supervises various geodetic activities and has developed comprehensive educational materials for Engineering Geodesy courses. His practical experience spans numerous significant projects including Sofia Airport runway construction, wastewater treatment facilities, hydroelectric power plants, and extensive infrastructure development across Bulgaria from 2005-2019. His laboratory work primarily involves precision surveying equipment and statistical analysis of geodetic measurements, with recent focus on Black Sea level monitoring and photovoltaic power plant geodetic design.

Yuri Tsanovskiمشاهده پروفایل

دانشیار

• Engineering Geodesy
• Cadastre
• Hydrography
• +۳ مورد دیگر

Prof. Dr. Eng. Yuri Tsanovski serves as Deputy Dean for Academic Affairs at the Faculty of Geodesy, University of Architecture, Civil Engineering and Geodesy (UACEG). He is affiliated with the Department of Higher Geodesy where he maintains Cabinet 500. His academic career spans multiple roles from Senior Assistant to current Associate Professor status. Dr. Tsanovski's research focuses on Engineering Geodesy, Cadastre, Hydrography, and GNSS technologies. His work includes significant Antarctic research participation through the 18th and 24th Bulgarian Antarctic Expeditions, contributing to geodetic surveying in extreme environments. His scientific interests bridge theoretical geodesy with practical applications in navigation systems and precision measurement. His publication portfolio demonstrates consistent advancement in GNSS technologies, evolving from foundational GPS concepts to specialized applications in kinematic positioning and precision measurements. The research trajectory shows increasing sophistication in handling complex geodetic problems, particularly in network alignment and satellite-based positioning systems. Dr. Tsanovski actively contributes to academic instruction through multiple lecture courses including Global Navigation Satellite Systems, Precise GPS Measurements, and Space Geodesy. His teaching materials reflect practical applications across both theoretical and hands-on components of geodetic education.

• Control Systems
• Mechanical Engineering
• Fluid Dynamics
• +۴ مورد دیگر

KRASIMIR HRISTOV ORMANDJIEV is an Associate Professor at the Technical University - Gabrovo , affiliated with the Energy Technology department under the Mechanical Engineering and Instrument Making faculty. His work focuses on control systems, fluid dynamics, and electrohydraulic technologies. Research Interests : Control systems, fluid dynamics, PID controllers, fuzzy control, turbine technology, dynamic modeling, and robust control. Recent Article Trends : 2024 publications emphasize multiparametric control, model predictive control, and stability analysis of electrohydraulic systems, with 2023-2019 works covering adaptive neuro-PID regulators, thermal effects on hydraulic systems, and neuro-fuzzy synthesis. Doctoral Students : Advised 5 PhD students studying topics like intelligent control of turbines, electrohydraulic system optimization, and safety valve parametric analysis.

• Hydraulic Systems
• Renewable Energy
• Turbines
• +۳ مورد دیگر

Nikolay Stefanov Stefanov is a Senior Lecturer (Senior Assistant) at the Technical University of Gabrovo, affiliated with the Faculty of Mechanical Engineering and Instrument Making and the Department of Energy Technology. He holds a Doctorate in Technical Sciences and specializes in energy technology research, including hydraulic systems, renewable energy applications, turbines, and heat exchangers. His research focuses on: Optimization of hydraulic and pneumatic systems Renewable energy utilization from low-pressure water flows Design and testing of axial and propeller turbines Thermal dynamics in heat exchangers Reliability engineering for fluid-carrying components He has led five university research projects (2008–2012) investigating heat exchanger optimization, turbine performance, and renewable energy systems. His publications predominantly analyze experimental methodologies, dynamic modeling, and efficiency improvements in mechanical energy systems, with recent work advancing diagnostic techniques for hydraulic machinery.

• Computer Science
• Software Engineering
• Data Structures
• +۳ مورد دیگر

Ivan Georgiev Hristov is an Associate Professor in the Department of Computer Informatics at the Faculty of Mathematics and Informatics, Sofia University. His academic profile centers on computational theory and practical applications within computer science. He can be reached at ivanh@fmi.uni-sofia.bg or via phone at +359 2 8161-673 in room FMI-525. University: Sofia University School: Faculty of Mathematics and Informatics Department: Department of Computer Informatics Email: ivanh@fmi.uni-sofia.bg His research spans foundational and applied aspects of computer science including: Algorithm design and analysis Software development methodologies Data structure optimization Computational complexity

Tihomir Bogoslovov Ivanovمشاهده پروفایل

استادیار

• Numerical Analysis
• Algorithms
• Computational Mathematics
• +۲ مورد دیگر

Tihomir Bogoslovov Ivanov serves as an Assistant Professor in the Department of Numerical Methods and Algorithms at the Faculty of Mathematics and Informatics, Sofia University 'St. Kliment Ohridski'. His academic position is housed within Bulgaria's premier mathematical sciences institution, where he maintains an office in room FMI-228 and can be contacted via email (tbivanov@fmi.uni-sofia.bg) or telephone (+359 2 8161-540). His research expertise centers on Numerical Analysis , Algorithms , and Computational Mathematics , with emphasis on developing robust numerical methods for complex mathematical modeling. These fields form the backbone of scientific computing applications across engineering and physical sciences, where precision algorithmic solutions are critical for solving differential equations, optimization problems, and large-scale simulations. No scientific awards, student supervision records, or grant activities are documented in available materials. His operational base remains the Numerical Methods and Algorithms department infrastructure within the Faculty of Mathematics and Informatics facilities.

• Artificial Intelligence
• Machine Learning
• Telecommunications
• +۴ مورد دیگر

Ivelina Stefanova Balabanova is an Associate Professor at the Technical University of Gabrovo, Faculty of Electrical Engineering and Electronics, Department of Communication Equipment and Technologies. She holds a Doctor of Technical Sciences degree and leads research in AI-driven telecommunications and biometric systems. Research Focus: Her work integrates artificial intelligence, machine learning, and optimization techniques across domains including: Biometric security systems (voice/facial/fingerprint recognition) Network traffic analysis and prediction models Signal processing and noise identification in communication systems Telecommunication infrastructure optimization Publication Trends: Recent works (2022-2024) demonstrate strong emphasis on neural network applications for biometric authentication, network traffic forecasting, and signal processing optimization, with frequent use of FFNN, CFNN, and DWT methodologies in telecommunications contexts. Awards: Crystal Prize for Best Paper (2017) Crystal Prize for Best Paper (2015) Advising: Currently supervising three PhD students in telecommunications AI research: Teodora Valentinova Zhorova Kristina Maximova Sidorova Toni Ivanov Naydenov Projects: Leads teams of 12-19 researchers on institutional projects like 'Synthesis of intelligent object recognition systems' (2022) and participates in cross-disciplinary ICT initiatives including the national 'Digitalization of the economy in a Big Data environment' project.

• Cryptography
• Artificial Neural Networks
• Chaos Theory
• +۷ مورد دیگر

Christina Svetoslavova Stoycheva is an Assistant Professor at the Communication Equipment and Technologies Department of Technical University - Gabrovo. Her research focuses on cryptography, chaos theory, and control systems engineering, with recent work on image encryption, 3D scene reconstruction, and IoT applications in agriculture. Her publications highlight integration of chaotic synchronization with artificial neural networks for enhanced security, segmentation algorithms for computer vision, and adaptive control systems in electrohydraulic engineering. She explores applications in beehive monitoring and Raspberry Pi-based platforms. Her work spans international conferences and Bulgarian journals, reflecting expertise in secure communication, signal processing, and multi-agent systems. No awards or additional affiliations are documented in the provided materials.

• Statistics
• Econometrics
• Financial Risk Management
• +۷ مورد دیگر

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.

• macroeconomic modelling for small open economies
• spatial economics
• applied econometrics
• +۳ مورد دیگر

Assoc. Prof. Andrey Vassilev, PhD, is affiliated with the Department of Statistics and Econometrics at the Faculty of Economics and Business Administration, Sofia University. His academic roles include Associate Professor and former leadership in macroeconomic research at the Bulgarian National Bank and the Ministry of Finance’s Agency for Economic Analysis. His research focuses on macroeconomic modeling for small open economies, spatial economics, applied econometrics, and interdisciplinary applications like reaction network theory in epidemiology and biological growth. Education: PhD in Applied Mathematics from Sofia University Studies in Computer Science and Mathematics at Sofia University’s Faculty of Mathematics and Computer Science Research Interests: Dr. Vassilev bridges macroeconomic theory with computational and mathematical tools. His work explores policy analysis through dynamic models, spatial trade strategies, and innovative applications of reaction networks to epidemiology and growth functions. Recent studies include AI-driven transport economics and historical tributes to influential scholars. Publications Trends: His articles span econometric modeling, reaction network applications (e.g., epidemiological systems), computational pedagogy for economic models, and Bulgarian policy analysis. Early work emphasized small open economy frameworks and fiscal stabilization under currency boards. Grants & Advising: No specific grants or student advisees are listed, though his institutional roles suggest involvement in policy-oriented research projects. Labs/Teams: Affiliated with Sofia University’s academic structures but no specific lab/team details provided.

Anton Gerunovمشاهده پروفایل

دانشیار

• Risk Management
• Finance
• Automated Business Decision Systems
• +۳ مورد دیگر

Prof. Anton Gerunov is an Associate Professor in Risk Management and Methods for Public Policy Analysis at the Department of Industrial Economics and Management, Faculty of Economics and Business Administration, Sofia University. He holds a DEconSc and PhD in Economics. His career spans academia, public service (economic advisor to Bulgaria's Council of Ministers), and private-sector consulting in innovation and e-government projects. He transitioned from part-time to full-time faculty roles since 2011, becoming Associate Professor in 2017. Research focuses on risk management frameworks, automated decision systems, and public policy analysis. Key interests include financial risk modeling, behavioral economics, and digital asset risks. He has contributed to international journals like the International Journal of Public Administration and Journal of Economics and Political Economy . Prof. Gerunov chairs the Institute for Data Ethics and Analytics and serves on the Scientific Council of the Centre for Socio-Economic Systems Modelling. His publications reflect interdisciplinary approaches, blending machine learning with economic theory. Notable recent work addresses cryptocurrency risk metrics, Markov switching models for stock returns, and agent-based analysis of socio-economic choices. He has held roles in e-government policy, emphasizing privacy-by-design methodologies and open data implementation. Current projects include socio-economic enablers of e-government in Bulgaria and experimental studies on economic expectations.

George Mengovمشاهده پروفایل

استاد

• Neurocomputational Economics
• Decision Science
• Behavioral Economics
• +۳ مورد دیگر

Prof. George Mengov is a Professor at the Department of Industrial Economics and Management, Faculty of Economics and Business Administration, Sofia University St. Kliment Ohridski since 2005. He previously worked as a Research Associate at the Bulgarian Academy of Sciences (2001–2004) and IT consultant at Unisys Corporation (1995–2000). He leads the Center for Modeling of Socio-Economic Systems and serves on the Advisory Board of Swiss Innovation Valley. Education: PhD in Economics (details not specified) Academic background in computational neuroscience and decision science Research Interests: Neurocomputational models for economic decision-making Behavioral economics and agent-based modeling Economic forecasting with limited data Socio-economic system dynamics Integration of neuroscience and economics Publications: Over 70 articles and a Springer-published book Decision Science: A Human-Oriented Perspective . Recent work focuses on neurocomputational forecasting, virtual social networks' economic impacts, and agent irrationality in socio-economic choices. Awards: No explicit awards listed, but recognized through editorial roles and international collaborations. Grants & Labs: Leads the Center for Modeling of Socio-Economic Systems. Engaged in interdisciplinary projects combining AI, economics, and neuroscience.

• Mathematical modeling
• Partial Differential Equations (PDE)
• Numerical methods
• +۱۰ مورد دیگر

Assoc. Prof. Anton Stoilov is an Associate Professor at South-West University in Blagoevgrad, Bulgaria. He holds a Ph.D. in Energy Conversion Technology (2006) and a Master's in Physics (2001), both from South-West University. His teaching focuses on personal productivity with IT and website development. His research spans mathematical modeling, PDEs, numerical methods, computer science, engineering, and physics, with notable work in bioinformatics, HPC, embedded systems, and medical instrumentation. Education: Ph.D. in Energy Conversion Technology and Systems, South-West University, 2006 Master of Physics, South-West University, 2001 Research Interests: Mathematical modeling and numerical methods Partial differential equations (PDE) and their applications High Performance Computing (HPC) in bioinformatics Embedded systems and sensor technology Web design and server administration Particle physics and collider experiments (e.g., HERA) Publications Trends: Recent work includes hypermedia communication technologies (2019), MATHDebate teaching methodologies (2018), and bioinformatics algorithms (2018–2016). Earlier contributions focused on particle physics experiments at HERA (2006–2007) and thermal analysis of solar systems (2004–2006). His articles bridge computational science, engineering, and education. Awards: None explicitly listed. Advising/Grants: No student advisees or grants mentioned in the provided text. Labs/Teams: Not specified in available information.

• French Language Pedagogy
• Translation Studies
• Computer-Assisted Language Learning
• +۳ مورد دیگر

Milen Ivanov Chipchanov serves as Assistant Professor at New Bulgarian University's Department of Foreign Languages and Cultures, where he has taught French language and translation since 1999 after previously working at the Institute for Foreign Students (1979-1999). His academic career spans over 45 years with expertise spanning French linguistics, translation studies, and educational technology integration. Bachelor's in French Philology, Sofia University 'St. Kliment Ohridski' (1979) Postgraduate Qualification in 'Computers in Language Teaching' (1987) Doctorate in 'Pedagogical Mediation through Personal Computers in Foreign Language Learning' (2013) Professor Chipchanov specializes in computer-assisted language learning, focusing on digital material development, multimedia integration, and translation technologies. His research bridges traditional linguistic pedagogy with modern technological solutions, particularly examining generational differences in digital learning adoption and strategies for authentic material implementation in language instruction. His methodology emphasizes practical application through audiovisual resources, computer systems, and interactive platforms. His publication portfolio demonstrates consistent evolution from foundational computer-assisted language learning concepts in the 1990s toward contemporary digital pedagogy frameworks, with recent work examining Z-generation learning behaviors and digital material development principles. The research trajectory reveals deepening specialization in digital language learning ecosystems while maintaining core focus on phonetics, translation, and multimedia integration. Professor Chipchanov has directed master's programs and participated in national educational projects including Ministry of Education initiatives for teacher qualification and student internships. His administrative experience includes coordinating language programs and developing digital learning frameworks through projects funded by the European Social Fund. His technical expertise encompasses HTML programming, multimedia content creation, and specialized translation software development. He has contributed to numerous educational projects including the creation of digital learning platforms, video-based instructional materials, and computer-assisted assessment systems for language learning.