جست‌وجوی استاد و پژوهشگر

• Sensor Systems and Electronic Nose Technology
• Food Quality Assessment and Authentication
• Artificial Neural Networks Applications
• +۳ مورد دیگر

Todor Nedev Todorov is a Senior Assistant at the Faculty of Electrical Engineering and Electronics at Technical University - Gabrovo, Bulgaria, holding a Doctor (scientific and educational) degree in Technical Sciences. He works in the Department of Automation, Information and Control Technology, with office location in cabinet 3411. Dr. Todorov's research focuses on sensor systems and electronic nose technology for food quality assessment and authentication. His work integrates artificial neural networks with gas sensor arrays to develop innovative solutions for monitoring food products during processing and aging. He has made significant contributions to applications in cheese classification, sunflower oil quality assessment, and bean origin identification. Analysis of Dr. Todorov's publication record from 2012-2023 reveals a consistent research trajectory centered on electronic nose systems and their applications in food science. His work shows progression from basic sensor development to sophisticated neural network implementations for food quality assessment. The research demonstrates strong interdisciplinary connections between electrical engineering, food science, and artificial intelligence. Dr. Todorov has been actively involved in numerous research projects, primarily focusing on sensor systems for environmental monitoring and food quality control. His project portfolio includes both internal university research initiatives and international collaborations aimed at incorporating technology into educational curricula. His laboratory work appears centered around sensor development and integration, particularly gas sensor arrays for food quality monitoring applications. The research infrastructure likely includes electronic nose systems, neural network training environments, and food product testing facilities.

• Speech Therapy
• Developmental Dyslexia
• Language and Speech Pathology
• +۵ مورد دیگر

Ekateryna Todorova, PhD, is an Associate Professor at the Department of Health Care and Social Work, New Bulgarian University. She specializes in developmental dyslexia, speech therapy, and special educational needs. Her career spans over two decades in academic and clinical roles. Research Interests: Dyslexia diagnostics and therapy Articulation and phonological disorders Executive function in learning disabilities Educational technology for special needs Developmental language impairments Inclusive education practices Academic Contributions: She has authored multiple books and chapters on developmental dyslexia and articulation disorders, including Bulgarian adaptations of international diagnostic tools like DDE-2. Her recent research focuses on literacy training for children with physical disabilities using assistive technologies. Professional Roles: Former dean of the Bachelor's Faculty (2016-2020), former director of quality commission, and academic mentor in EU-funded projects like Erasmus+ and Human Resources Development Program.

Uhryn Dmytro Ilyichمشاهده پروفایل

دانشیار

• Information technologies for decision support
• Swarm intelligence systems
• Industry-specific geographic information systems
• +۲ مورد دیگر

Dr. Dmytro Uhryn is an Associate Professor at the Department of Computer Science, Yuriy Fedkovych Chernivtsi National University. With a Doctor of Technical Sciences degree (2021) and specialization in Computer Science (12DC No. 029057, 2011), he actively contributes to research in swarm intelligence and geographic information systems . As a member of the Bukovina Information Technology Cluster since 2019, he focuses on intelligent forecasting systems , medical image analysis , and financial data modeling . Education: Applied Mathematics (2003, Chernivtsi National University) and Organizational Management (National Technical University "Kharkiv Polytechnic Institute") Research Interests: Information technologies for decision support, swarm intelligence systems, industry-specific GIS, medical image processing, and financial market algorithms. Recent publications (2023-2024) demonstrate expertise in swarm intelligence applications for migration forecasting, medical diagnostics using laser autofluorescence, and financial systems modeling. His 2021 dissertation established foundational methods for swarm intelligence in GIS . Professional development includes certifications in educational programming (Sigma Software University), NATO modeling , and international teaching methodologies (Lyublin Institute, 2023). He collaborates with researchers across Ukraine and Poland on biomedical optics, financial IT, and tourism technology projects.

Radoslava Danailova Hristovaمشاهده پروفایل

دانشیار

• Grid Computing
• Cloud Computing
• Business Process Management
• +۳ مورد دیگر

Radoslava Danailova Hristova serves as an Associate Professor at the Faculty of Mathematics and Informatics, Sofia University St. Kliment Ohridski, specializing in advanced computational systems. Her work focuses on integrating grid and cloud technologies with business processes and scientific applications. Her research spans Grid Computing , Cloud Infrastructure , and Service-Oriented Architectures , with significant contributions to distributed systems management. Key areas include: Business Process Management in heterogeneous grid environments Performance monitoring frameworks for HPC applications Middleware development for virtual organizations Resource allocation strategies for scientific modeling Analysis of her 15 most recent publications reveals a consistent focus on practical grid/cloud implementations, particularly in evolving middleware infrastructure (2012-2014) and business process integration. Her work bridges theoretical physics applications with enterprise-level distributed systems. No formal scientific awards are documented in available sources. While no current advisees or major grants are explicitly listed, her publications indicate active collaboration with international research teams including EGI (European Grid Infrastructure) and g-Lite middleware developers. Hristova contributes to Sofia University's Grid Farm operations, supporting physics experiments and environmental modeling. Her technical leadership includes developing ROOT services, accounting systems, and security frameworks for distributed scientific computing environments.

KRASEN KIROV ANGELOVمشاهده پروفایل

استاد

• Wireless Communication Systems
• 5G Networks
• Internet of Things (IoT)
• +۷ مورد دیگر

Krassen Kirov Angelov is a full professor at the Department of Communication Equipment and Technologies within the Faculty of Electrical Engineering and Electronics at Technical University - Gabrovo . He has led and participated in 15 research projects, focusing on wireless communication platforms, IoT systems, and optical network optimization. Head, Department of Communication Equipment and Technologies Project Manager for 5G/IoT research (2022) Co-author of 3 textbooks on communication circuits Research Interests include: 5G network design and optimization IoT communication protocols Optical network modeling Secure data transmission Satellite broadcasting systems Smart infrastructure development His recent publications (2021-2025) demonstrate expertise in: Chaotic encryption techniques Neural network applications LoRaWAN coverage planning DVB-S2 signal transmission Passive optical network modeling Radio frequency optimization PhD Students : Plamen Tashev (Radio Channel Monitoring) Mikhail Angelakis (Wireless Resource Management) Victor Krustev (Security Identification) Ivan Zlatev (Network Resource Allocation) Evelina Vaseva (Beekeeping Monitoring)

• Medical Informatics
• Telemedicine
• E-Health
• +۴ مورد دیگر

Assoc. Prof. Polina Mihova, PhD is a faculty member at New Bulgarian University (NBU) in the Department of Healthcare and Social Work. Her academic career spans over two decades at NBU, where she serves as Associate Professor in Public Health (since 2021) and Head of Department (since 2023). Doctoral degree in Medical Informatics (2014) Master's degrees in Medical Computer Technologies (2006) and Speech Pathology Rehabilitation (2020) Bachelor's in Medical Computer Systems (2004) Her research focuses on medical informatics, telemedicine systems, healthcare information security, and digital interventions for autism spectrum disorders. She has contributed to international telemedicine standards and clinical process management through 10+ EU projects including e-KINE, EuRiCa, and DAAD-funded initiatives. The 15 most recent publications highlight her work in telemedicine evolution (2025), ASD digital interventions (2024-2023), pandemic-era education adaptations (2023), and serious games for developmental therapies (2022-2021). These works span keywords including Telemedicine, Medical Informatics, Autism Spectrum Disorders, and Digital Health Interventions. As a certified Board Certified Telehealth Professional (BCTP®-III) and active participant in organizations like American Telemedicine Association, she bridges clinical needs with technology while ensuring compliance with GDPR and HIPAA standards.

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.

• Mathematics Education
• Language Training
• Educational Technologies
• +۵ مورد دیگر

ДИАНА ИЛИЕВА ИЗВОРСКА serves as Professor and Head of the Department of Language and Specialized Training at Technical University - Gabrovo. With a Doctorate in Mathematical Sciences, she has established herself as a leading academic in mathematics education, language training, and educational technologies. Her interdisciplinary approach bridges theoretical knowledge with practical applications in technical education. Dr. Izvorska's research spans multiple interconnected domains with a consistent focus on modern educational technologies and competency-based approaches. She has made significant contributions to mathematics education methodology, particularly in critical thinking development, reflection in mathematical training, and individualized learning approaches. Her work on professional competence development in technical university students has been particularly influential, connecting mathematical foundations with language education and pedagogical innovation. Analysis of Dr. Izvorska's recent publications reveals a strong trend toward integrating information technologies with traditional educational methodologies. Her research demonstrates practical applications of theoretical concepts across various educational contexts, from elementary mathematics to advanced engineering education. She has explored computational mathematics systems in higher mathematics training, project-based learning in information technologies, and the development of information competence across different educational levels. 25 research projects led, primarily focused on educational technologies 101 total publications including 9 books and numerous scholarly articles International collaborations across Europe and Ukraine Dr. Izvorska maintains active leadership in her department while continuing to advance educational theory and practice through her scholarly work and project management.

• 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.

Robert Penchovskyمشاهده پروفایل

استاد

• Synthetic Biology
• Bioinformatics
• Molecular Genetics
• +۴ مورد دیگر

Robert Penchovsky is a Full Professor of Molecular Genetics, Synthetic Biology, and Bioinformatics at Sofia University 'St. Kliment Ohridski', Bulgaria. He heads the Laboratory of Synthetic Biology and Bioinformatics within the Faculty of Biology's Department of Genetics. His responsibilities encompass student training, course development, doctoral supervision, and leading national/international research projects. Education: Postdoctoral Study: RNA synthetic/computational biology, Yale University PhD: Genetics, microfluidics, and DNA computing, University of Cologne Associate's Degree: Applied computer sciences and bioinformatics, Sofia University Master's Degree: Biochemistry, microbiology, and genetics, Sofia University Research Interests: Prof. Penchovsky's work integrates synthetic biology, bioinformatics, and molecular genetics to develop novel antibacterial therapies. Key areas include computational design of allosteric ribozymes, engineering antisense oligonucleotides targeting bacterial riboswitches, and high-throughput drug screening. His lab focuses on combating antibiotic resistance through RNA-based therapeutic strategies and rational drug design. Publications: His recent articles (2022–2025) predominantly explore antibacterial drug development, riboswitch engineering, and computational biology. Trends include leveraging antisense oligonucleotides for pathogen inhibition, bioinformatic screening of riboswitches, and developing RNA-based biosensors for therapeutic applications. Awards: Outstanding Scientist Award, International Research Awards on Sensing Technology (2023) Scientific Excellence Award, Union of Scientists in Bulgaria (2015) Advising & Grants: He has supervised 16 master's and 5 doctoral students to completion, with current advisees including award-winning researchers. He leads 13+ projects, such as: Engineering functional nucleic acids for synthetic gene control (KP-06-H31/18) Antisense oligonucleotide design for antibacterial agents (KP-06-H63/1) Software development for allosteric ribozyme design (70-123-194/12.02.2024) Laboratory & Team: The Laboratory of Synthetic Biology and Bioinformatics includes Assistant Professors (Martina Traykovska, Nikolet Pavlova), researchers, and doctoral students. The team focuses on RNA-based drug discovery, genomic analyses, and developing synthetic biology tools for biomedical applications.

Reni Damjanovaمشاهده پروفایل

استاد

• Biomechanics of Sport
• Sport Training Methodology
• Sport Statistics
• +۴ مورد دیگر

Prof. Reni Damjanova is a faculty member at the National Sports Academy "Vasil Levski" in Sofia, Bulgaria. She holds the rank of Professor in the Department of Theory of Sport Training and specializes in sport methodology, statistics, and biomechanics. Her career spans over four decades, with roles including Associate Professor, Chief Researcher in Sport Science, and initiator of Bulgaria's first academic golf course programs. Education: Bachelor's in Physical Education (Summa Cum Laude, 1975) Ph.D. in Sport Biomechanics (1983) Advanced certifications in statistics, functional diagnostics, and Chinese medicine Research interests focus on optimizing high-performance training through statistical analysis, biomechanical motion studies, and sport rehabilitation. She pioneered Golf education in Bulgaria and contributed to Olympic teams' training methodologies. Awards include recognition from the International Olympic Committee and Bulgaria's Olympic Committee for integrating computer technology in sports. Labs/Teams: Specialized Swimming Lab, Ergomechanics Research Team, Golf Course Curriculum Developer

Иван Симеонов Симеоновمشاهده پروفایل

دانشیار

• Computer Systems Design
• Ultrasonic Technology
• Image Processing
• +۳ مورد دیگر

Иван Симеонов Симеонов is an Associate Professor at Technical University Gabrovo specializing in Computer Systems and Networks. He holds a PhD in Computer Science (2006) and has extensive experience in ultrasonic sensor technology, embedded systems, and automated manufacturing. His career spans roles from researcher to academic leadership in technical fields. Key research focuses include non-contact ultrasonic material analysis, sensor design, and computer-aided engineering solutions. Education: Graduated from VMÉI (Gabrovo) in Electronic Technology, earned PhD in 2006 with thesis on computerized measurement systems. Fluent in English, German, and Russian with strong technical communication skills. Research interests emphasize interdisciplinary applications of computer systems in engineering contexts. His work bridges hardware design (e.g., programmable logic circuits) with software solutions (image processing algorithms). Notable projects include intelligent ultrasonic sensors for industrial automation and non-destructive material testing systems. Publications span 11 peer-reviewed articles and 68 conference presentations, focusing on ultrasonic technologies and embedded systems. Active member of ACM, Bulgarian Union of Automation and Informatics, and academic computer systems communities. Led over 15 research projects funded by national and EU programs, including EU's Erasmus initiatives for education innovation in computing.

Sergey Vasilyevich Golubمشاهده پروفایل

استاد

• Agent programming
• Intelligent monitoring
• Medical informatics
• +۴ مورد دیگر

Sergey Vasilyevich Golub is a Professor at the Department of Software for Automated Systems at Cherkasy State Technological University. He holds a Doctor of Technical Sciences degree and has been part-time faculty since 2018. His career spans multiple roles, including dean at CHNU and head of departments in intelligent systems and software engineering. His research focuses on agent programming, intelligent monitoring, medical informatics, and machine learning. He has contributed to interdisciplinary projects linking software engineering with environmental monitoring and healthcare diagnostics. Recent publications emphasize multi-agent systems, social network analysis, and data-driven disease prediction. Key article trends include integrating satellite data for climate monitoring, authorship classification in social media, and agent-based modeling for pandemic forecasting. He collaborates with researchers in Ukraine and abroad, with works in Springer LNNS and CEUR-WS proceedings. Thanks and honorary diplomas from Cherkasy National University (2000, 2003, 2015) Honorary diplomas from Cherkasy Regional State Administration (2001, 2014) Honorary diploma from Ukraine's Ministry of Education and Science (2011) He has authored monographs on data analysis technologies and cross-platform decision support systems. His work bridges academic research and practical applications in intellectual monitoring across healthcare, ecology, and cybersecurity domains.

Kovalchuk Myroslav Lyubomyrovychمشاهده پروفایل

دانشیار

• Neural networks
• database organization
• creation of information systems
• +۱ مورد دیگر

Myroslav Lyubomyrovych Kovalchuk serves as an Associate Professor in the Department of Computer Science at Yuriy Fedkovych Chernivtsi National University. His academic foundation includes degrees in Electronics and Microelectronics, culminating in a Candidate of Physical and Mathematical Sciences qualification. His educational background comprises: Bachelor of Electronics, Yuriy Fedkovych Chernivtsi National University (2001) Engineer-physicist in Microelectronics and Semiconductor Devices, Yuriy Fedkovych Chernivtsi National University (2002) Candidate of Physical and Mathematical Sciences, Specialty 01.04.01 (2010) Kovalchuk's research centers on neural networks, database systems, information system development, and electronics engineering. His work bridges theoretical computer science with practical engineering applications, particularly in AI-driven solutions for real-world problems. He has developed specialized systems for image analysis, financial forecasting, and tourism infrastructure, demonstrating consistent innovation in computational methodologies. Over the past five years, his publication record reveals a strategic focus on neural network optimization, distributed database systems, and intelligent information architectures. His textbooks and research articles show increasing integration of cloud computing with traditional AI techniques, reflecting industry trends toward scalable, accessible computational solutions across finance, healthcare, and tourism sectors. Kovalchuk actively contributes to the Bukovina Information Technology Cluster (since 2019) and provides scientific consulting to KM TRADE LLC on security systems. He maintains professional currency through Sigma Software University's Teachers' Smart Up program and international training initiatives in Warsaw and Suceava, emphasizing modern pedagogical approaches for technical education.