جست‌وجوی استاد و پژوهشگر

• 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.

Stanislav Ivanovمشاهده پروفایل

استاد

• Tourism
• Hospitality Management
• Artificial Intelligence in Tourism
• +۴ مورد دیگر

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

• 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.

• Computational Media
• Infrastructure Design
• Sociological Theory
• +۹ مورد دیگر

Benjamin Bratton is a Professor of Digital Design at The European Graduate School / EGS and an Associate Professor of Visual Arts at the University of California, San Diego. He directs UCSD's Center for Design and Geopolitics, collaborating with the California Institute for Telecommunications and Information Technology. Bratton holds a Ph.D. in the sociology of technology from UCSB. His work spans computational media, urban design, and geopolitical theory, with a focus on planetary-scale computation's impact on sovereignty. Bratton's research integrates architecture, philosophy, and design strategy, including co-founding SCI Arc's XLAB courses exploring robotics and biogenetics. His seminal work The Stack: On Software and Sovereignty (2015) proposes a unified theory of cloud computing's geopolitical implications. He lectures globally at institutions like Columbia, Yale, and the Bartlett School of Architecture. His articles synthesize technical discourse with sociopolitical critique, addressing themes like cloud feudalism, post-anthropocene aesthetics, and algorithmic governance. Bratton's interdisciplinary approach bridges academia and practice, influencing contemporary debates on digital infrastructure's societal role.

• Artificial Intelligence
• Data Science
• Information Systems
• +۳ مورد دیگر

Dr. Aldeniz Enverov Rashidov is an Associate Professor at the Technical University of Gabrovo , affiliated with the Faculty of Electrical Engineering and Electronics and the Department of Automation, Information and Control Systems . With a Ph.D. in Industrial Information Systems (2006), he has led the Information Support Sector since 2005 and directed the Center for E-Learning and Distance Education since 2012. Education: M.Sc. in Systems and Management (1996), Ph.D. in Industrial Information Systems (2006) Research interests: AI applications in education, intelligent databases, e-voting systems, web-based information architectures, and industrial cybersecurity His recent 15 publications focus on AI-driven manuscript review algorithms, e-voting security frameworks, and ChatGPT-assisted research methodologies. Notable achievements include IEEE Senior Membership (2024) and developing the UMIS 1.0 university management system. Scientific Awards Senior Member, IEEE Computer Society (2024) Senior Member, IEEE Robotics & Automation Society (2024) He has led 9 internal TU-Gabrovo projects on AI applications and contributed to international collaborations like MechMate (2016-2017). His work emphasizes system intelligence evaluation methodologies and hybrid data structuring models.

Denitsa Parashkevova Grigorovaمشاهده پروفایل

دانشیار

• Probability
• Operations Research
• Statistics
• +۴ مورد دیگر

Denitsa Parashkevova Grigorova is an Associate Professor at the Faculty of Mathematics and Informatics, Sofia University. Her work spans probability, operations research, and statistics, with applications in longitudinal data analysis, environmental science, and medical research. Key Research Areas: Ordinal longitudinal modeling, EM algorithm implementation, ozone pollution effects on tree growth, and statistical genetics in oncology. Notable Publications: Focus on computational statistical methods, environmental impact assessment, and medical data analysis.

• Image processing
• 3D visualization
• Virtual Reality
• +۷ مورد دیگر

Prof. PhD Miroslav Nikolov Galabov is a Professor at the Faculty of Mathematics and Informatics, St. Cyril and St. Methodius University of Veliko Turnovo in Bulgaria. His academic career spans several decades with significant contributions to computer science, particularly in the areas of 3D visualization, virtual and augmented reality, and image processing. He maintains active research collaborations and participates in multiple funded projects at the university. Professor Galabov's research interests focus on cutting-edge technologies including: Image processing and computer vision 3D visualization and modeling Virtual and Augmented Reality systems Microprocessor systems and embedded computing System programming and software architecture Multimedia systems and publishing technologies E-business applications and social network technologies His scholarly output demonstrates a clear evolution from foundational work in digital signal processing and image compression toward contemporary research in cloud infrastructure, semantic web technologies, and digital twin applications. Recent publications show a strong emphasis on practical implementations of AWS infrastructure, microservices architecture, and blockchain solutions for IoT systems. His work consistently bridges theoretical computer science with real-world applications across multiple domains including education, business, and cultural heritage preservation. Professor Galabov actively participates in significant research projects including: "Изследване и анализ на приложението на технологични инструменти и инфраструктура като креативна среда за трансфер на знания" (2025-2025) "Изследване, анализ и популяризиране на мобилни технологии и софтуерни приложения в полза на студенти със специални потребности" (2025-2025) "Изследване възможностите на технологиите за виртуална и добавена реалност за атрактивно представяне и популяризиране на българското фолклорно наследство" (2023-2023) Multiple projects related to 3D visualization, e-learning, and digital infrastructure development

Apostol Slavchevمشاهده پروفایل

استاد

• Training in sprint and hurdle running
• Specialized diversity in athletics
• Sports science
• +۵ مورد دیگر

Professor Apostol Slavchev serves as Vice-Rector for Academic Affairs at the Vasil Levski National Sports Academy, where he holds a professorship in the Department of Athletics within the Faculty of Pedagogy. With over four decades of academic service, he has held leadership roles including Dean of the Faculty of Education (2008-2016) and membership on the Academic Council since 2007, demonstrating sustained institutional commitment to advancing sports education and athletic training methodologies. His academic foundation includes doctoral studies completed in 1998 with a dissertation on 400m hurdle training optimization, complemented by medical education at Sofia's G. Dimitrov State Medical University (1978-1982). His scholarly journey reflects a unique integration of medical science with athletic specialization: Doctorate in Sports Training Methodology (1998) Medical University Studies (1978-1982) Polytechnic High School Diploma (1972-1976) Slavchev's research spans sprint and hurdle training mechanics , athletics officiating systems , and inclusive athletic programming for diverse populations including children and Special Olympics participants. His work bridges theoretical sports science with practical coaching applications, particularly in developing technical proficiency in short-distance events through biomechanically-informed training protocols. The integration of mathematical modeling in sports ranking systems demonstrates his interdisciplinary approach to athletic administration. His 150+ publications reveal consistent focus on athletics pedagogy and technical officiating , with recent works emphasizing digital educational tools and longitudinal performance analysis. The trajectory shows evolving specialization from foundational coaching manuals toward sophisticated biomechanical analysis and institutional management systems, reflecting both deepening expertise and expanding administrative responsibilities. As an academic advisor, Slavchev has supervised four doctoral candidates to successful dissertation completion, with research concentrated in athletic training methodology. His institutional roles include directing postgraduate training for coaches and serving on the editorial board of the "Athletics & Science" journal, demonstrating commitment to knowledge dissemination. Slavchev founded and chairs the KLASA athletics club at the National Sports Academy while leading the Bulgarian Athletics Federation's judges committee since 2004. His practical coaching legacy includes developing over 100 athletes, with multiple national champions in hurdle events, demonstrating effective translation of academic research into competitive success.

• Molecular Biology
• Bioinformatics
• Biotechnology
• +۳ مورد دیگر

Kiril Todorov Kirilov is an Assistant Professor in the Department of Biological Sciences at New Bulgarian University, where he has been employed since 2022. Previously, he worked as a researcher at the Institute of Molecular Biology, Bulgarian Academy of Sciences (2007-2022). He holds a Master's degree in Engineering Biotechnology from the University of Chemical Technology and Metallurgy, Sofia (2001) and a PhD in Molecular Biology from the Bulgarian Academy of Sciences (2014). His specialized training includes bioinformatics at the International Centre for Genetic Engineering and Biotechnology in Italy (2003) and Carleton University in Canada (2013). His research focuses on molecular biology, bioinformatics, and biotechnology, with specific interests in codon usage patterns, glycation processes, enzyme kinetics, and therapeutic compound development. He has published extensively on topics ranging from DNA analysis techniques to neurotensin applications in Parkinson's disease. Dr. Kirilov teaches multiple courses including Zoology of Vertebrates, Genetic Engineering, Molecular Biology, Cell Biology, and Industrial Biotechnology. He holds two patents (2017) for educational materials in chemistry and environmental protection designed for secondary schools.

• Artificial intelligence
• Data mining/analytics and knowledge discovery
• Data science
• +۴ مورد دیگر

Professor Simeon Simoff is Dean of the School of Computer, Data & Mathematical Sciences at Western Sydney University , with a career spanning institutions like University of Technology Sydney , University of Sydney , and Middle East Technical University . His work bridges Artificial Intelligence , Data Mining , and Virtual Worlds , focusing on visual analytics and human-computer interaction . Qualifications: PhD, Moscow Power Engineering Institute MScEng, Moscow Power Engineering Institute BScEng, Moscow Power Engineering Institute Research Interests include AI interpretability , data sonification , and immersive environments , as evidenced by projects like Visual Data Mining (Springer, 2008) and FriendZone Smart Living Space (2010-2011). His 15 most recent publications (2014-2021) span genomics visualization , RFID healthcare applications , and 3D virtual agent design . Awards & Leadership: Founding Director of the Institute of Analytics Professionals of Australia Editor of ACS Conferences in Research and Practice in Information Technology (CRPIT) series Associate Editor for ASCE's Journal of Computing in Civil Engineering Projects include Waves of Words (2018-2022, Australian Research Council) and Deep Learning of Complex Genomics Data (2016-2017, Cancer Institute NSW), with collaborations across Sydney Children's Hospital Network and Intersect Consortium .

Oleksandr Ivanovych Vorobetsمشاهده پروفایل

دانشیار

• Semiconductor Devices
• Signal Processing
• Control Systems
• +۳ مورد دیگر

Oleksandr Ivanovych Vorobets serves as an Associate Professor in the Department of Computer Systems and Networks at Chernivtsi National University. He holds the academic degree of Candidate of Physical and Mathematical Sciences, awarded for his 2007 PhD thesis on modifying metal-chalcogenide semiconductor barrier structures using pulsed laser irradiation. His academic foundation was built at Yuriy Fedkovych Chernivtsi State University, where he graduated from the Faculty of Physics, Department of Microelectronics and Semiconductor Devices. Research interests span semiconductor device physics , signal processing , and computer engineering , with a focus on modeling and algorithmizing primary information signal converters based on semiconductor barrier structures. His work integrates laser processing techniques for manipulating structural defects in semiconductors and developing hardware/software systems for instrumentation and control. Analysis of his publication history reveals two distinct phases: early work (2003-2009) concentrated on semiconductor material science and laser defect engineering in cadmium telluride structures, while recent publications (2015-2018) pivot toward cryptographic hardware design for IoT and telemetry applications, featuring reconfigurable coprocessors and stream ciphers. Vorobets instructs core computer engineering courses including Computer Electronics, Computer Circuit Engineering, Computer Architecture, System Programming, Microcontrollers, and Automation of Technological Processes and Measurements. His email contact is o.vorobets@chnu.edu.ua.

Snizhana Yuryivna Gimchynskaمشاهده پروفایل

استادیار

• Distance Learning
• Computer Hardware Development
• Information Coding
• +۳ مورد دیگر

Snizhana Yuryivna Gimchynska is an Assistant Professor at the Department of Computer Systems and Networks , Faculty of Physics , Chernivtsi National University named after Yu. Fedkovych . Her work bridges computer hardware/software development with educational technology innovation . Education: Chernivtsi State University (1992) (Computer Science), Retraining in Public Finance (2010) Research Focus : Designing distance learning systems since 2004 Developing computer hardware/software for scientific applications Advancing information coding and digital signal processing methodologies Exploring TCP/IP network database architectures and cloud computing in education Publication Trends : 15+ years of contributions in educational technology , computer networking , and scientific instrumentation , with recent emphasis on cloud-based learning environments (2011) and open-source software adoption (2015-2016). Scientific Recognition : 2023: P-Certificate (Continuing Education) 2022: IPD Week Award 2021: Woman in IT Recognition 2019: CISCO IT Essentials Certification 2019: PCAP Python Programming Certification