جست‌وجوی استاد و پژوهشگر

• Biomimetic Engineering
• Parametric Design
• Evolutionary Computation
• +۳ مورد دیگر

Achim Menges is a contemporary architect and Professor of Digital Design at The European Graduate School (EGS) and the founding director of the Institute for Computational Design at the University of Stuttgart. He also holds a visiting professorship at Harvard University's Graduate School of Design. His research integrates biomimetic engineering, parametric design, evolutionary computation, and computer-aided manufacturing through interdisciplinary collaboration with engineers, computer scientists, and biologists. Education: Began at Technical University of Darmstadt (Germany), graduated with honors from the Architectural Association School of Architecture in London (2002). Taught at AA School (2002-2012), Rice University (visiting professor), and Offenbach University of Art and Design (2005-2008). Currently at University of Stuttgart since 2012. Research focuses on biomimetic principles applied to architecture, such as humidity-responsive wood structures (e.g., FAZ Pavilion, 2010). Key themes include material computation, adaptive systems, and the synergy between biological processes and digital fabrication. His work emphasizes translating natural phenomena into functional architectural solutions without mechanical control systems. Scientific contributions include the FEIDAD Awards (2002, 2003), RIBA Tutor Prize (2004), Bentley Educator of the Year (2005), and ACADIA Award (2007). Over 10 major publications since 2004, including Material Computation: Higher Integration in Morphogenetic Design (2012). Labs/Teams: Leads the Institute for Computational Design (ICD), affiliated with Germany's Biomimetics Competence Network and Computer Science in Architecture Network. Active in international research evaluations and conference committees.

• Discrete Mathematics
• Coding Theory
• Algorithms
• +۶ مورد دیگر

Assoc. Prof. Zlatko Georgiev Varbanov is a distinguished academic at the Faculty of Mathematics and Informatics, University of Veliko Tarnovo (Bulgaria). With expertise spanning discrete mathematics, coding theory, and software development, he has established himself as a prominent researcher in both theoretical and applied computer science domains. His scholarly work bridges mathematical theory with practical implementations, particularly in DNA coding, quantum error correction, and software engineering principles. Dr. Varbanov's research interests encompass a diverse range of topics including Discrete Mathematics, Coding Theory, Algorithms, Programming, DNA codes, Quantum codes, and Information security. His scholarly work demonstrates a consistent focus on the intersection of algebraic structures and practical coding applications, with particular emphasis on self-dual codes over finite fields and their applications in DNA computing and quantum information theory. In software engineering, he has made significant contributions to design patterns, asynchronous programming in C#, and static site generation techniques. Analysis of Dr. Varbanov's recent publications reveals a dual research trajectory: one strand focusing on theoretical aspects of coding theory (particularly DNA codes and quantum codes), and another addressing practical software engineering challenges. His work on design patterns, SOLID principles, and asynchronous programming in C# demonstrates his commitment to improving software development practices. The publications on static site generation and data storage services reflect his engagement with contemporary web development technologies and their optimization. Dr. Varbanov has been actively involved in numerous research projects, with current engagements extending into 2025. These projects focus on AI-driven information systems, mobile technologies for students with special needs, digital accessibility for visually impaired users, and enhancement of research indicators for faculty members. His collaborative work spans multiple institutions and demonstrates a strong commitment to both theoretical research and practical applications that address real-world challenges.

• Radio Communications
• Wireless Networks
• Computer Systems
• +۳ مورد دیگر

Rosen Pasarelski is a Professor in the Telecommunications Department at New Bulgarian University (NBU), where he has taught since 2003. His academic career includes roles as assistant professor (2003–2015) and current professor status since 2015. He has directed NBU's Telecommunications bachelor's program (2005–2015) and actively participates in departmental councils and seminars. Education : PhD in Radio Transmitter and Receiver Equipment (2009), Master's in Telecommunications Systems (2003), Bachelor's in Telecommunications Systems (2001), Specialist degree in Telecommunications (1999) His research focuses on radio communications , wireless networks , and WEB technologies , with recent publications exploring 5G network optimization, microwave antennas for space-based radar, IoT vehicle tracking, and femtocell technologies. He has contributed to projects including satellite studio development, WLAN network analysis, and electromagnetic field safety studies. Recent publications highlight trends in 5G network algorithms , radio wave attenuation modeling , and AI-driven cybersecurity . His work often intersects telecommunications engineering with practical applications in smart city infrastructure and educational technology . He teaches courses such as: Network Administration and Virtualization Applied Software for Telecommunications Mobile Communications WEB Services Installation Computer Hardware/Software Installation Technical expertise includes LINUX systems , cloud computing , VoIP security , and WiMAX protocol analysis . He holds advanced English and Russian language proficiency alongside native Bulgarian.

Valentina Volodymyrivna Dvorakمشاهده پروفایل

استادیار

• Computer Vision
• Deep Learning
• IT Project Management
• +۳ مورد دیگر

Valentina Volodymyrivna Dvorak serves as an Assistant Professor in the Department of Computer Science at Chernivtsi National University. Her professional activities span across computer vision, deep learning, IT project management, and business analysis, with significant contributions to both academic research and practical applications in these fields. Dr. Dvorak holds a Candidate of Technical Sciences degree with specialization in Pressure Processing Processes and Machines. Her educational background includes a Master's in Metallurgical Equipment (2004) and a degree in Organizational Management (2010) from Donbass State Machine-Building Academy. This unique combination of metallurgical engineering and computer science expertise informs her interdisciplinary research approach. Her research interests prominently feature Computer Vision and Deep Learning applications across diverse domains including medical diagnostics, satellite imagery analysis, and industrial process optimization. Dr. Dvorak has made significant contributions to convolutional neural network implementations, automated recognition systems, and polarization-correlation microscopy techniques for biomedical applications. Her work bridges theoretical computer science with practical implementations in healthcare, manufacturing, and environmental monitoring. Analyzing her publication record reveals a strong focus on practical applications of deep learning, with particular emphasis on computer vision systems for medical diagnostics, industrial quality control, and environmental monitoring. Her research demonstrates consistent progression from fundamental metallurgical process optimization to advanced AI applications. Certificate of acknowledgment as scientific supervisor for BLACK SEA SCIENCE 2022 Educational Grant from SoftServe for developing training course (2021) Dr. Dvorak actively contributes to IT education through multiple textbooks including 'Deep Learning for Computer Vision,' 'IT Project Management,' and 'Intelligent Data Analysis.' Her professional development includes numerous certifications from Sigma Software University and SoftServe, reflecting her commitment to staying current with industry practices. She serves as a member of the Bukovina Information Technology Cluster and provides scientific consulting for SKB 'Electronmash KM.'

Yatsko Oksana Myroslavivnaمشاهده پروفایل

دانشیار

• Computer-oriented methodological systems for teaching
• Data mining and business analytics
• Game theory applications in economics
• +۴ مورد دیگر

Yatsko Oksana Myroslavivna is an Associate Professor at the Department of Computer Science, Chernivtsi National University named after Yuriy Fedkovych. She holds a Candidate of Pedagogical Sciences degree (specialty 13.00.02 - theory and methods of teaching informatics) and has been certified as an Associate Professor since 2022. Her research focuses on computer-oriented methodological systems for teaching computer disciplines, with specializations in data mining for business applications, game theory implementation in economic decision-making, web technologies development, and algorithm design. She actively contributes to educational literature with multiple textbooks on Discrete Mathematics, Operations Research, Web Technologies, and Systems Modeling. Her professional engagements include membership in the Bukovina Information Technology Cluster, Chernivtsi Mathematical Society, and participation in international conferences like SPIE Optical Engineering and Correlation Optics. She has completed advanced certifications in machine learning, data visualization, and online education technologies from Prometheus, SoftServe, and other institutions. Her publications demonstrate expertise in strategic business analysis, cross-platform decision support systems, and educational software development. The 15 most recent works (2023-2024) cover data structures, game theory applications, web development tools, and polarization-based biomedical diagnostics. She serves as an expert for Ukraine's Ministry of Education and National Agency for Quality Assurance in Higher Education.

Lozko Bozhinov Milevمشاهده پروفایل

دانشیار

• Numerical Analysis
• Approximation Theory
• Mathematical Analysis
• +۲ مورد دیگر

Lozko Bozhinov Milev serves as an Associate Professor at the Faculty of Mathematics and Informatics, Sofia University St. Kliment Ohridski, specializing in numerical methods and algorithms with primary focus on approximation theory and polynomial inequalities. His academic role involves theoretical research and computational analysis within mathematical frameworks. His core research interests include Numerical Analysis, Approximation Theory, and Mathematical Analysis, with specific expertise in Markov-type inequalities, extreme points in polynomial spaces, and weighted polynomial systems. Analysis of his 15 most recent publications (2006-2014) reveals a persistent concentration on theoretical and computational aspects of polynomial approximation—particularly for oscillating polynomials and exponential systems under Hermite/Laguerre weights. Key recurring themes include the monotonicity of zeros, interlacing properties of Tchebysheff systems, and numerical computation of Markov factors, demonstrating consistent methodological rigor. No scientific awards or honors were documented in the source material. Similarly, no information regarding student advisement, research grants, laboratory affiliations, or collaborative teams was provided, despite detailed publication records spanning two decades.

• Algebra
• Coding Theory
• Design Theory
• +۲ مورد دیگر

Dr. Silviya Parvanova Boumova is an Associate Professor at the Faculty of Mathematics and Informatics, Sofia University 'St. Kliment Ohridski' , with a PhD in Algebra from Eindhoven University of Technology. Her research focuses on combinatorial structures in Coding Theory and Design Theory , particularly Orthogonal Arrays and Spherical Designs . Research Interests Her work investigates the minimum distance and covering radius of orthogonal arrays using distance distributions, with applications in polynomial metric spaces and error-control codes. She collaborates extensively with researchers like Peter Boyvalenkov and Maya Stoyanova. Publications Recent studies (2022–2000) analyze bounds for orthogonal arrays, Diophantine problems, and geometric properties of codes. Key subfields include distance distributions , polynomial identities , and combinatorial optimization . Contact Email: boumova@fmi.uni-sofia.bg

• Teletraffic Engineering
• Biometric Systems
• Machine Learning
• +۵ مورد دیگر

Dr. Georgi Ivanov Georgiev is an Associate Professor at the Department of Communication Equipment and Technologies , Technical University Gabrovo , with over 15 years of experience in teletraffic engineering, biometric systems, and artificial intelligence applications. He has led multiple research projects on network security, voice/facial recognition, and smart home systems. Current academic rank: Associate Professor Key collaborations: University of Ruse, IEEE, MDPI, AIP Publishing Research Interests : Biometric diagnostics with AI Machine learning for network traffic Neural networks (FFNN, GRNN, PNN) Smart home systems Teletraffic modeling Optical communication systems Recent Article Trends focus on hybrid AI methodologies (neural networks, decision trees, SVM) applied to: Noise analysis in communication systems Biometric authentication Internet traffic optimization Signal processing Smart environment monitoring Scientific Awards : Crystal Prize 2017 for Best Paper Multiple Best Paper awards at international conferences (2016, 2018) Student Advising : Reviewed thesis works on topics including Wind Farm Safety , Power Grid Modeling , and Lightning Protection Systems . Publications include 6 textbooks and 97 peer-reviewed works.

Zvezditsa Petrova Nenovaمشاهده پروفایل

استاد

• Sensor Systems
• Environmental Monitoring
• Humidity Sensing
• +۶ مورد دیگر

Zvezditsa Petrova Nenova is a distinguished faculty member at the Technical University of Gabrovo, Bulgaria, where she serves in the Department of Fundamentals of Electricity and Electrical Engineering. With a career spanning nearly four decades, she has established herself as a leading expert in sensor systems, environmental monitoring, and measurement technologies. Her extensive research portfolio includes 15 books, 139 scientific publications, and leadership in 33 research projects, demonstrating her significant contributions to engineering education and research. Dr. Nenova's research focuses on the development and application of advanced sensor systems for environmental monitoring, with particular expertise in humidity sensing elements, thin-film technologies, and measurement systems. Her work bridges materials science, electrical engineering, and environmental applications, resulting in numerous innovations in sensor design and implementation. She has pioneered research in doped oxide films, graphene-based sensors, and piezoelectric measurement systems, contributing significantly to the field of environmental monitoring technology. Analysis of her recent publications reveals a consistent focus on improving humidity sensing technologies through advanced materials science. Her work increasingly incorporates nanotechnology approaches, particularly with graphene and doped metal oxides, while maintaining practical applications for environmental monitoring systems. The research shows a progression from fundamental material characterization to sophisticated sensor system integration, demonstrating both theoretical depth and practical implementation. Dr. Nenova has successfully supervised three PhD students to completion, guiding research in air environment monitoring systems and advanced sensor technologies. Her extensive project portfolio includes both national and international collaborations, with significant participation in EU-funded programs including Erasmus+ and Leonardo da Vinci initiatives focused on vocational education and industrial automation.

Aleksandar Dimov Dimovمشاهده پروفایل

دانشیار

• Software Reliability Engineering
• Neuro-Fuzzy Systems
• Machine Learning
• +۵ مورد دیگر

Aleksandar Dimov Dimov is an Associate Professor at the Department of Software Technologies, Faculty of Mathematics and Informatics (FMI), University of Sofia. He specializes in software reliability engineering, neuro-fuzzy systems, and cloud computing architectures. His research focuses on optimizing software systems through adaptive methodologies and addressing challenges in distributed computing environments. His work spans over two decades, with contributions to neuro-fuzzy optimization for manufacturing, machine learning applications in healthcare, and architectural patterns for scalable systems. Key areas include improving software reliability models, cloud storage performance, and privacy-preserving software design. He has published extensively on topics like microservices, service-oriented architectures, and educational technology. Dr. Dimov's publications reflect a strong emphasis on practical solutions for real-world challenges in software engineering and data systems. His research bridges theoretical models with applied implementations, particularly in domains requiring high precision and adaptability.

Marina Petrovaمشاهده پروفایل

دانشیار

• Gymnastics
• Physical Education
• Sports Training Methodology
• +۳ مورد دیگر

Marina Petrova is an Associate Professor in the Department of Gymnastics at the National Sports Academy Vasil Levski (NSA VL), affiliated with the Faculty of Public Health, Health Care, and Tourism. She holds a Ph.D. in 'Theory and Methodology of Physical Education and Sports Training.' Her work focuses on optimizing athlete preparation systems, particularly for young gymnasts. Petrova has held progressive roles from Assistant to Deputy Head of Research in her department since 2003. Education Ph.D., 2013: Dissertation on 'Research and Optimization of the Preparation of Young Gymnasts on Mixed Parallel Bars' Master's in High-Performance Sports, 2005 Bachelor's in Gymnastics Coaching, 1998 Secondary Education in Sports, 1994 Research Focus Petrova's research emphasizes gymnastics technique optimization, youth athlete development, and pandemic-era physical fitness adaptations. She has authored 45+ scientific papers, 1 monograph, and multiple guides focusing on rhythmic abilities, coordination training, and equipment utilization in gymnastics. Coaching & Professional Roles National Category Judge in Gymnastics (2000–present) Member of the Program Council for 'Sports Animation' (2020–present) Active coach at GSKSG 'Geranium' since 2019

• Electronics
• Control Systems
• Electric Vehicles
• +۶ مورد دیگر

Goran Danailov Goranov is a Professor at the Technical University - Gabrovo , affiliated with the Faculty of Electrical Engineering and Electronics and the Department of Electronics. His research focuses on control systems , sensor networks , electric vehicles , and microcontroller applications . Projects: Led and participated in 15 research initiatives, including electric vehicle development and contactless power transmission systems. Students: Advises three PhD students in areas like digital control and sensor networks. His work involves FPGA design , Arduino-based solutions , and industrial automation , with recent publications addressing Hall element testing, wind turbine controllers, and open-source hardware for education. He has authored four textbooks and contributed to 74 scientific publications, emphasizing energy efficiency and embedded systems.

Валентина Стоянова Кукенскаمشاهده پروفایل

دانشیار

• Computer-Aided Design (CAD)
• FPGA Design
• Digital Systems Engineering
• +۳ مورد دیگر

Валентина Стоянова Кукенска е доцент и заведател на катедрата за Компютърни Системи и Технологии в Технически Университет - Габрово. Осъществява професионална дейност от 1984 г. с акцент в областта на автоматизираното проектиране, FPGA технологии и компютърни системи. Образованието й включва докторска степен (1999 г.) по тема „Разработка на модулна учебно-изследователска диалогова система за автоматизирано схемотехническо проектиране в електрониката“. Води курсове по автоматизация на инженерния труд, операционни системи и компютърни архитектури. Участлива е в международни и университетски проекти, включително в рамките на програмите TEMPUS и ERASMUS за модернизация на учебните програми и развитие на ICT инфраструктура. Има значителен вклад в разработка на учебни пособия и публикации в области на компютърните системи, FPGA и CAD системи. Нейните исследователски интереси се фокусират върху FPGA архитектури, автоматизирано проектиране на електронна апаратура, и интеграция на CAD технологии в образователните процеси. Участие в над 20 научни проекти и няколко публикации демонстрират нейния принос в областта на компютърната инженерия и образованието.

• Architecture
• Technology in Architecture
• Computational Design
• +۵ مورد دیگر

Mark Burry is a renowned architect and academic with dual professorships as Professor of Digital Design at The European Graduate School and Professor of Urban Futures at Melbourne University. His work bridges architecture, technology, and design, notably through his leadership in completing Antoni Gaudí’s Sagrada Família and founding RMIT’s Spatial Information Architecture Laboratory and Design Research Institute. He holds degrees from the University of Cambridge and has taught globally at institutions like MIT and the Royal Danish Academy. Educations: BA in Architecture (University of Cambridge, 1979) Diploma in Architecture (University of Cambridge, 1982) MA in Architecture (University of Cambridge, 1989) His research focuses on computational design, parametric architecture, and the intersection of mathematics with urban futures. He has pioneered digital tools for architectural innovation, as seen in projects like the Sagrada Família and through his authored books on scripting cultures and mathematical architecture. Awards: Diploma i la insignia a l’acadèmic corresponent (2004) Federation Fellowship (2006) Biennial Sasada Award (2012) Advisees/grants: Directed over 100 researchers at RMIT’s Design Research Institute Recipient of ARC grants and PMSEIC advisory roles He co-founded labs like the Spatial Information Architecture Laboratory and contributed to exhibitions such as Convergence: Transforming our Future and Homo Faber .

STANIMIR YORDANOV YORDANOVمشاهده پروفایل

دانشیار

• Automated Control Systems
• Intelligent Systems
• Industrial Systems Management
• +۶ مورد دیگر

Stanimir Yordanov Yordanov is an Associate Professor at the Department of Automation, Information and Control Technology within the Faculty of Electrical Engineering and Electronics at Technical University - Gabrovo. With a Doctorate in Technical Sciences and over 30 years of professional experience since 1993, he has established himself as a leading researcher and educator in control systems and automation. His educational background includes a Master of Engineering from VMEI - Gabrovo (1992) with specializations in Computer Engineering, Management Technologies, and Pedagogy, followed by a Doctorate (2006) and Associate Professor qualification (2010) in specialized technical fields. His teaching portfolio encompasses System Programming, Operating Systems, Digital Control Systems, and Industrial Robotics, among others. Professor Yordanov's research focuses on automated control systems, intelligent management of technological processes, industrial system monitoring, and object/system modeling. His work demonstrates a consistent trajectory toward increasingly sophisticated control algorithms and applications across diverse domains from electrohydraulic systems to environmental monitoring. The recent publications reveal a strong emphasis on advanced control techniques including neuro-PID regulators, model predictive control, and applications of artificial intelligence in industrial contexts. His extensive project portfolio includes 22 significant research initiatives, ranging from national projects like the 'Competence Center for Intelligent Mechatronic Systems' to international collaborations such as the 'MechMate' project focused on European SME growth. These projects demonstrate his ability to secure funding and lead research teams across various technical domains. Professor Yordanov has mentored six PhD students to completion, with several successfully defending dissertations on topics including intelligent energy systems, embedded real-time operating systems, and robotic systems. His academic leadership extends to serving as an academic mentor for over 600 student internships. His laboratory work centers on electrohydraulic control systems, robotic manipulation, and intelligent monitoring applications, with recent projects developing smart dispensers, beehive monitoring systems, and low-cost health monitoring devices for pregnant women, demonstrating practical applications of his theoretical research.