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Olga Ilieva Georgieva is a Professor at the Faculty of Mathematics and Informatics (FMI) , Sofia University , specializing in Software Technologies . She has held academic positions at the Bulgarian Academy of Sciences and Technical University of Sofia , and is actively involved in research, teaching, and national/EU-funded projects. Education: 1986 – Faculty of Automatics, TU-Sofia 1995 – PhD, Institute of Control and System Research, Bulgarian Academy of Sciences 2000 – Associate Professor, Institute of Control and System Research, Bulgarian Academy of Sciences 2008 – Associate Professor, Faculty of Mathematics and Informatics, Sofia University Research Interests: Her work spans Artificial Intelligence , Machine Learning , Data Mining , and Soft Computing Methods . She applies these to domains such as emotion recognition from EEG , QoS in web services , educational data mining , and industrial energy modeling . Scientific Awards: Best Paper Award, IEEE 8th International Conference on Intelligent Systems (2016) Teaching & Projects: She teaches courses including Requirements Engineering , Models of Software Systems , Fuzzy Sets and Applications , and Professional Ethics at Sofia University, and previously taught at TU-Sofia. She leads or co-leads multiple national and EU projects such as GATE: Big Data for Smart Society , ITDGate , and Modelling of Voluntary Saccadic Eye Movements .

• Artificial Intelligence
• Machine Learning
• Data Mining
• +6 more

Edgar Vadimovich Vatamanitsa serves as an Assistant Professor in the Department of Computer Science at Chernivtsi National University, specializing in cross-platform software development and cloud computing applications. His work bridges academic research with industry practice through active engagement in both university teaching and commercial software development. Education: Yuriy Fedkovych Chernivtsi National University (2013): Systems Software, Software Engineer Dr. Vatamanitsa's research centers on Java/Android pattern development, client-server architectures, and distributed systems. He pioneers practical implementations of design patterns in cloud environments, with significant contributions to optical field simulation, semiconductor modeling, and intelligent transportation systems. His methodology emphasizes cross-platform efficiency and real-world applicability of theoretical computing concepts. Analysis of his 2022-2024 publications reveals dominant themes in cloud-based optical computation (AWS infrastructure), Java pattern implementation for Android, and cross-platform solutions for traffic management and semiconductor physics. His work consistently integrates distributed systems with domain-specific challenges in optics, printing technology, and educational analytics, demonstrating exceptional versatility across engineering disciplines. Professional Activities: Member of Bukovina Information Technology Cluster (since 2022) Senior Software Developer at EPAM SYSTEMS Certificate in Cross-platform Programming and Information Security (Ternopil National Technical University, 2023) Tech Summer Bootcamp for Teachers participant (2023)

• Client-server programming
• Java and Android pattern development
• Application information systems
• +6 more

Assoc. Prof. Nadia Marinova, PhD holds an academic position at the New Bulgarian University , serving in the Department of Administration and Management . With a career spanning since 1996, she has held administrative roles such as Director of the Center for Distance Learning and coordinated numerous national/international projects. Education includes a PhD in Project Management from NBU and a Master's in Economics from UNSS Sofia. She teaches courses like Marketing Strategies in Tourism and Project Management in International Tourism . Her research focuses on Marketing, Tourism, Management, and Project Management , with recent work analyzing business model changes during pandemics, IoT applications in radar systems, and risk management in tourism. While her publications address both theoretical and practical aspects, collaborative projects with organizations like ENYC and EU programs dominate her career. Her projects include EU-funded initiatives like Transborder Integrated Tourism Business Center and industry collaborations with Lukoil Neftochim Burgas. She has contributed to youth policy frameworks and developed training modules for sustainable transport and leadership programs.

• Project Management
• Tourism Management
• Business Administration
• +3 more

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.

• Information technologies for decision support
• Swarm intelligence systems
• Industry-specific geographic information systems
• +2 more

Dr. Yuliya Volodymyrivna Tanasyuk is an Associate Professor at the Department of Computer Systems and Networks, Chernivtsi National University named after Yu. Fedkovych . She holds a Candidate of Physical and Mathematical Sciences degree (2003) and has been an active researcher and educator in computer science and physics domains. Academic Rank: Associate Professor Email: y.tanasyuk@chnu.edu.ua Her research spans multiple disciplines: Cryptography Cellular Automata Internet of Things (IoT) Software Engineering Network Technologies Project Management Notable trends in her publications include: Applications of cellular automata in cryptographic hash functions (2017–2021) Advancements in CdTe semiconductor materials (2003–2007) Interdisciplinary work bridging physics and computer science Scientific recognition includes: Multiple Cisco certifications (CCNA Security, DevNet Associate) 2023 UGEN Uni-Biz Bridge award for teaching flexibility British Council Academic Teaching Excellence (2016) International conference presentations at E-MRS and ISCP As an academic advisor, she has supervised numerous student research projects including: TensorFlow-based pattern recognition Traffic sign tracking systems Blockchain interaction frameworks University event planning software Smart parking detection systems Her work often intersects hardware-software integration and security protocols, with educational contributions through methodological guides in C++ programming and network technologies.

• Latest network technologies
• Information security
• Cryptography
• +4 more

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)

• Wireless Communication Systems
• 5G Networks
• Internet of Things (IoT)
• +7 more

Dimo Rumenov Kolev is a Researcher at the Technical University Gabrovo , affiliated with the School of Higher Education and the Electronics Department . He holds a Doctoral Degree in Technical Sciences and specializes in advanced sensor systems, energy harvesting, and microelectromechanical systems (MEMS). His research focuses on piezoelectric and thermoelectric devices, tactile sensor arrays, and DC servodrives for 3D printers. Research Interests: Kolev’s work spans sensor and actuator design , piezoelectric energy harvesting , and MEMS integration . He develops low-power energy generators, multi-sensor systems, and web-based sensor networks. His projects address challenges in automation, robotics, and environmental monitoring, with applications in both academic and industrial settings. Projects & Collaborations: He has led or contributed to 7 research projects (2009–2024), including: "Sensor and Actuator Devices in Mechatronic Systems" (2017–2019) "Intelligent Microsensor Systems" (2011–2014) "Piezoelectric and Galvanomagnetic Sensor Systems" (2009–2011) Publications: His 33 publications span international conferences like UNITECH, ET, and MIEL. Recent work addresses compression harvesters, resonance sensor arrays, and energy conversion efficiency. His studies bridge theoretical models with experimental validation, emphasizing practical applications. Teaching & Methodology: He develops course materials for bachelor’s and master’s programs in "Sensor Technology," "Microelectronics," and "Automotive Electronics," ensuring alignment with modern technical advancements.

• Sensors and Actuators
• Energy Harvesting
• Microelectromechanical Systems (MEMS)
• +3 more

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.

• Radio Communications
• Wireless Networks
• Computer Systems
• +3 more

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.'

• Computer Vision
• Deep Learning
• IT Project Management
• +3 more

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.

• Computer-oriented methodological systems for teaching
• Data mining and business analytics
• Game theory applications in economics
• +4 more

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.

• Teletraffic Engineering
• Biometric Systems
• Machine Learning
• +5 more

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.

• Electronics
• Control Systems
• Electric Vehicles
• +6 more

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.

• Computer-Aided Design (CAD)
• FPGA Design
• Digital Systems Engineering
• +3 more

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.

• Computer Systems Design
• Ultrasonic Technology
• Image Processing
• +3 more

Professor Stephan Ivanov Ivanov serves as Head of 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, he has established himself as a leading researcher in sensor systems and industrial automation. His academic career spans over two decades with continuous contributions to both theoretical and applied research. Dr. Ivanov's research focuses on the intersection of microcontroller technology, programmable logic devices, and sensor systems. His work particularly emphasizes humidity and gas sensors, electronic nose technology, and the application of artificial neural networks in fire detection and food quality assessment. A significant portion of his recent research explores the innovative use of acoustic waves combined with deep learning for firefighting applications, representing a cutting-edge interdisciplinary approach. His publication record demonstrates consistent scholarly output, with 86 publications including books, conference papers, and journal articles. The most recent works (2022-2025) show a clear trend toward integrating deep neural networks with physical sensor systems, particularly in fire detection and environmental monitoring. His research bridges theoretical computer science with practical engineering applications, resulting in numerous international collaborations. As an educator and mentor, Professor Ivanov has supervised five PhD students, with three currently active in their research. His leadership extends to coordinating multiple international projects focused on incorporating 3D design and programming into educational curricula. His work demonstrates a commitment to both advancing scientific knowledge and applying it to practical educational and industrial challenges.

• Microcontrollers
• Programmable logic devices
• Sensor systems
• +7 more