جست‌وجوی استاد و پژوهشگر

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

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
• +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.

Georgi Marinovمشاهده پروفایل

استادیار

• Engineering Geodesy
• GNSS
• Geodetic Measurements
• +۳ مورد دیگر

Georgi Marinov serves as Assistant Professor at the University of Architecture, Civil Engineering and Geodesy (UACEG) in Sofia, Bulgaria, within the Faculty of Geodesy's Department of Higher Geodesy. His current responsibilities include teaching exercises on Global Navigation Satellite Systems (GNSS) and Basic Geodetic Measurements and Networks. Education: Doctor of Science in General, Higher and Applied Geodesy (2009, Sofia) Master of Engineering in Geodesy (2003, UACEG-Sofia) Marinov's research focuses on engineering geodesy applications, particularly coordinate transformations and GNSS network analysis. His work bridges theoretical geodesy with practical construction projects, including Sofia metro expansions and anti-erosion infrastructure. The 2008 publications reveal deep expertise in seven-parameter Helmert transformations, addressing computational challenges in datum conversions and deformation analysis. His methodologies support precision requirements in large-scale civil engineering where millimeter-level accuracy is critical. Marinov actively participates in the BALkan GEodetic Observing System (BALGEOS), contributing to regional geodetic infrastructure. His project portfolio includes: Comprehensive geodynamics study in Krupnik-Kresna region Sofia metro expansion (multiple sections) Tunnel construction under Cherni Vrah Boulevard Varna slope anti-erosion reinforcement He holds legal certification for cadastre activities and maintains proficiency in English and Russian for international collaboration.

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.

Radul Shishkovمشاهده پروفایل

استادیار

• Parametric Design
• Algorithmic Modeling
• Computational Design
• +۳ مورد دیگر

Radul Shishkov serves as Chief Assistant at the University of Architecture, Civil Engineering and Geodesy (UACEG), specifically within the Faculty of Architecture's Department of Interior and Design for Architecture. He also holds the position of Managing Partner and Lead Architect at CAST Studio while lecturing in the master's program "Contemporary and Computational Design" at UACEG. His educational background includes a Doctorate in "Strategies for the application of algorithmic modeling in architectural design" (2020), a Master's degree in Architecture (2008-2013) from UACEG, and earlier education at the Professional High School of Construction, Architecture and Geodesy in Plovdiv. Shishkov's research focuses on computational approaches to architectural design, with particular emphasis on parametric and algorithmic modeling techniques. His work bridges theoretical exploration with practical application in both interior and architectural contexts. He has developed specialized courses in parametric design, computational design, and digital fabrication, contributing significantly to the integration of advanced computational methods in architectural education. His publication history reveals a consistent focus on applying computational techniques to architectural challenges, spanning from interior design to urban environment analysis. The publications demonstrate progression from practical design applications toward more sophisticated algorithmic approaches for building information modeling and urban analysis. Shishkov actively participates in international design workshops and research projects, including "Parametric Planning" with SOFIAPLAN and various EU-funded initiatives. His professional practice includes significant architectural projects such as residential buildings, restaurant designs across multiple countries, and technical expertise for historical building restoration. He leads international workshops on parametric design and digital fabrication across locations including Athens, Vienna, Sofia, and Amman, demonstrating his commitment to advancing computational design methodologies globally. His CAST Studio serves as both a professional practice and research platform for exploring the frontiers of computational architecture.

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.

• Measurement systems
• Mechanical engineering
• Computer systems
• +۷ مورد دیگر

Tsanko Vladimirov Karadzhov serves as an Associate Professor at the Technical University - Gabrovo, specifically within the Technical College - Lovech under the Department of Mechanical engineering, computer systems and electrical engineering. Holding a Doctor (scientific and educational) degree in Technical Sciences, he maintains an active research and teaching profile at the institution. Dr. Karadzhov's research spans precision measurement systems, mechanical engineering, laser technology applications, and robotics. His work demonstrates particular expertise in gear metrology, angular coordinate measurement systems, and dynamic error compensation techniques. His scholarly contributions bridge theoretical foundations with practical engineering solutions across multiple disciplines within mechanical and electrical engineering. Analysis of his recent publications reveals a consistent research trajectory focused on innovative measurement methodologies. His work progresses from fundamental mechanical engineering principles to increasingly sophisticated integrated systems incorporating computer vision, adaptive algorithms, and multi-sensor approaches. Key thematic areas include precision metrology for mechanical components, laser-based measurement systems, and advanced applications in gear design and manufacturing. Dr. Karadzhov has supervised at least one PhD student, Miroslav Mitkov Mihov, whose research focused on developing methods for strengthening through powder deposition on details. He has participated in five significant research projects at TU Gabrovo between 2018-2022, with primary focus on measurement systems for planar surfaces, angular coordinates of moving objects, and three-coordinate measuring systems with delta robot implementations.

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.