جست‌وجوی استاد و پژوهشگر

• Computer Technology in Fine Arts
• 3D Graphics
• Graphic Design
• +۴ مورد دیگر

Prof. Svetoslav Kosev is a faculty member at the Faculty of Fine Arts of the University of Veliko Tarnovo St. Cyril and St. Methodius. His research bridges computer technology with visual arts , focusing on 3D modeling , digital media , and interactive art . He actively explores the ethical implications of AI in art and integrates augmented reality into classical graphic works. Fields of Interest : Computer technology in fine arts, 3D graphics, interactive multimedia, digital humanities Projects : Founder of the annual Vision Forum for 3D graphics, leader in digitization initiatives, and developer of digital art platforms Research Focus : Kosev investigates how digital tools like AR and 3D printing transform traditional art practices. His work spans artistic innovation and educational technology , particularly in training future artists through interdisciplinary methods . Google Scholar entries reflect his engagement with AI ethics , algorithmic art , and technological aesthetics . Publications highlight collaborations between Bulgarian and Polish institutions , with applications in VR technologies , calligraphy , and interactive visual works . He has contributed to academic discourse through edited volumes and conference proceedings.

Edgar Vadimovich Vatamanitsaمشاهده پروفایل

استادیار

• Client-server programming
• Java and Android pattern development
• Application information systems
• +۶ مورد دیگر

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)

Tsvetan Nedkovمشاهده پروفایل

دانشیار

• Cinematography
• Digital Film Technology
• Visual Effects
• +۲ مورد دیگر

Assoc. Prof. Dr. Tsvetan Nedkov serves as faculty at the National Academy of Theatre and Film Arts "Krustyu Sarafov", holding position in the Department of Pre-Production and Production within the Faculty of Screen Arts. His dual career spans active cinematography practice and academic instruction since 2003. Research focuses on digital transformation in cinematography, with expertise in computer-aided film production, visual effects integration, and media convergence. His work bridges traditional cinematography with emerging technologies, particularly examining how digital tools reshape cinematic aesthetics and production workflows. Publications reveal consistent exploration of computer-age cinematography since the late 1990s, with articles in "Problems of Art" journal and presentations at Bulgarian Academy of Sciences conferences. His research trajectory shows progression from technical implementation to broader media convergence theories. "Bronze Knight" and special jury award for "The Wind of the Naked Moon" (2004) Grand Prize of Association of Cinematographers (2004) National Film Center Award (2004) 14 major cinematography awards spanning 1994-2004 Professional activities include membership in the Academic 21 Association of habilitated screen arts teachers and service on juries for international festivals including "Golden Chest". Technical expertise encompasses extreme-condition cinematography (aerial, mountain, rock) and mastery of film/video formats from 16mm to HDTV.

• Latest network technologies
• Information security
• Cryptography
• +۴ مورد دیگر

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.

Ioannis Parmenion Patiasمشاهده پروفایل

دانشیار

• Project Management
• Project Risk Management
• Design of Robotics Systems
• +۵ مورد دیگر

Ioannis Parmenion Patias is an Associate Professor at the Faculty of Mathematics and Informatics , Sofia University , specializing in Project Management , Robotics , and Ethically Aligned Design . He holds a PhD in Computer Informatics (2001), a PMP certification (2010), and an MBA (2013). Education: MSc, Technical University of Sofia (1993) Candidate of PhD, Technical University of Sofia (1994-2000) PhD, Computer Informatics (2001) PMP Certification, PMI USA (2010) MBA, International Hellenic University (2013) Research Interests span Project Risk Management , Robotics , and Prompt Engineering , with a focus on ethical design , cloud federation , and knowledge-based systems . His work bridges autonomous systems and public policy . Scientific Projects include EU-funded initiatives like SUMMIT (2023-) and me_HeLi-D (2022-), alongside MIRACle (2020-2022) and GATE (2019-2020), emphasizing robotics , cloud integration , and mental health resources . Publications cover topics from ethical robotics to mobile healthcare apps , reflecting his interdisciplinary approach. He has authored books such as Embedded Control in Autonomous Systems (2024) and Design of Robotics Systems (2017).

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)

• organizational development
• process, change and project management
• managerial competence
• +۱۱ مورد دیگر

Mariya Ivanova is an Associate Professor at the Department of Administration and Management, New Bulgarian University (NBU), with expertise in organizational development, human resource management, and adult learning. Her career spans over two decades, focusing on digital transformation in education, talent management, and EU education policies. Doctor of Economics (2012), Bulgarian Academy of Sciences Certificates in Personal Coaching (2010), Mentoring (2006), and multiple management qualifications Her research explores HR systems , change management , and educational technology , particularly in crisis contexts and multicultural environments. Recent work examines employer branding for green economy and digital tools in talent selection . Articles highlight trends in digital HR practices cross-cultural leadership lifelong learning social innovation education policy tourism workforce strategies She participates in international projects like B-WISE (Erasmus+) and HoCare Interreg Europe, focusing on skills development and home care innovation. Her roles include team leadership in student training programs and expertise in EU integration policies.

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.

• 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.

• 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.

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.

• Metrology
• Electromagnetic Field Measurement
• Power Quality
• +۴ مورد دیگر

Prof. Plamen Tsvetkov is a faculty member at New Bulgarian University (NBU) in the Department of Telecommunications since 2013. He previously held roles at Technical University of Sofia (1986–2019), including Head of the Department of Electrical Metrology (2004–2019). His academic career spans over 35 years in teaching and research. Education : PhD in Electrical Metrology from Technical University of Sofia (1998), specializing in robust structures for measurement systems. Research Interests : Metrology and calibration of measurement devices Power quality and electromagnetic field analysis Design of information-measurement systems Robust structures for measurement accuracy Applications in telecommunications and computer technology Recent Work Trends : His 15 most recent publications focus on power quality calibration methods, 4G/5G network protocols, and advanced signal processing techniques. Collaborations with international researchers emphasize standards like BDS EN 50160 and tools such as LabVIEW and MATLAB. Scientific Awards : Silver Medal, Technical University of Sofia Grants and Projects : Led 8 international projects and participated in over 30, including EU-funded initiatives on measurement standards and power quality. He also contributed to educational reforms in electrical engineering curricula. Publications and Leadership : Authored over 20 books and 130+ publications, with 15+ indexed in Scopus/Web of Science. Active in symposiums like International Symposium Metrology and Metrology Assurance as committee member.

• Digital Scenography
• Computer Graphics
• 3D Animation
• +۷ مورد دیگر

Petko Yakimov is an Assistant Professor at the Design Department of New Bulgarian University. With a PhD in Digital Scenography and Character in Cinema, his academic roles include teaching undergraduate courses in Human-Machine Systems and Image Analysis. He combines technical expertise with artistic sensibilities across multiple disciplines. PhD: Digital Scenography & Character in Cinema, New Bulgarian University (2016) MSc: Film & Television Direction, New Bulgarian University (2013) MFA: Scenography, National Academy of Arts (2001) BFA: Scenography, National Academy of Arts (1996) His research focuses on digital scenography , 3D animation , and virtual reality , with recent work exploring generative art techniques in Houdini and VR applications for museum visualization. Publications span topics from deepfake technology in artistic creation to 3D compositing workflows. Professional experience includes: Technical Specialist, NBU TV Studio (2019-2022) Lecturer in Multimedia & Virtual Reality at Academy for Musical, Dance and Visual Arts "Prof. Asen Sarafiev" (2018-2022) Leadership roles in computer graphics at Bulgarian National Television (2005-2011) CGI contributions to films like "Deep Shock" and "Dragon Fighter"

Tomka Yuriy Yaroslavovychمشاهده پروفایل

دانشیار

• Software architectures
• enterprise application development
• .NET platform
• +۳ مورد دیگر

Yuriy Yaroslavovych Tomka is an Associate Professor in the Department of Computer Science at Yuriy Fedkovych Chernivtsi National University. He holds a Candidate of Physical and Mathematical Sciences degree and has been serving as an Associate Professor since April 15, 2021. His academic work spans software engineering, neural networks, and biomedical image processing, with numerous publications in these fields. Dr. Tomka's educational background includes: Bachelor's degree in Laser and Optoelectronic Engineering from Yuriy Fedkovych Chernivtsi National University (2005), with honors Candidate of Physical and Mathematical Sciences degree (2009) in specialty 01.04.05 – Optics, Laser Physics Dr. Tomka's research interests focus on software architectures, enterprise application development on the .NET platform, pattern recognition, digital image processing, and neural networks. His work bridges theoretical computer science with practical applications in biomedical diagnostics, financial technology, and e-commerce systems. He has made significant contributions to the development of information systems, machine learning applications, and educational methodologies in computer science. Analysis of Dr. Tomka's recent publications reveals a strong focus on practical applications of software engineering principles, particularly in the .NET ecosystem. His work spans from fundamental software architecture to specialized applications in biomedical imaging and financial forecasting. There's a clear trend toward interdisciplinary research, combining computer science with fields like medicine and finance, demonstrating the versatility and applicability of his technical expertise. Dr. Tomka has received recognition for his mentorship, guiding student research that won second-degree diplomas in national competitions. His professional development includes numerous certifications in modern software technologies from institutions like Sigma Software University. As an active member of the Bukovina Information Technology Cluster named after Joseph Schumpeter since 2019, Dr. Tomka contributes to regional IT development initiatives. He also provides scientific consulting to the Limited Liability Company "Buknanotech" and has managed research projects including "Development of new methods and biomedical systems for polarization-holographic fractalmetry of crystallites of tissues and fluids of human organs" (2019-2021).