Find Academic Supervisors

• Computer Technology in Fine Arts
• 3D Graphics
• Graphic Design
• +4 more

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 VatamanitsaView profile

Assistant Professor

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

Tsvetan NedkovView profile

Associate Professor

• Cinematography
• Digital Film Technology
• Visual Effects
• +2 more

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.

• Sensor Systems and Electronic Nose Technology
• Food Quality Assessment and Authentication
• Artificial Neural Networks Applications
• +3 more

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.

Uhryn Dmytro IlyichView profile

Associate Professor

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

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

Ioannis Parmenion PatiasView profile

Associate Professor

• Project Management
• Project Risk Management
• Design of Robotics Systems
• +5 more

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).

Ivan Kolev KoichevView profile

Professor

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +2 more

Ivan Kolev Koichev is a Professor at the Department of Software Technologies within the Faculty of Mathematics and Informatics at Sofia University 'St Kliment Ohridski'. He serves as the Director of the MSc program in Information Retrieval and Knowledge Discovery and Head of the Department of Software Technologies Education. His research spans Artificial Intelligence, Machine Learning, Natural Language Processing, and Information Retrieval. MSc in Applied Mathematics (1988), Sofia University PhD in Computer Science (1998), Bulgarian Academy of Sciences Postdoc Fellowships at GMD Germany (1999-2002) and Robert Gordon University UK (2002-2005) His work focuses on adaptive learning systems, fact-checking, author obfuscation, and community question-answering frameworks. Key publications address concept drift adaptation, political debate analysis, image claim verification, and credible news detection. He collaborates extensively with researchers like Preslav Nakov and Momchil Hardalov. He has contributed to SemEval-2016 Task 3 and developed the LEAF multiple-choice question generation system. His research integrates linguistic analysis, credibility assessment, and algorithmic innovation across multidisciplinary domains.

KRASEN KIROV ANGELOVView profile

Professor

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

• organizational development
• process, change and project management
• managerial competence
• +11 more

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 DvorakView profile

Assistant Professor

• Computer Vision
• Deep Learning
• IT Project Management
• +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.'

Yatsko Oksana MyroslavivnaView profile

Associate Professor

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

• Oxidative Stress
• Antioxidant Protection
• Nutrigenomics
• +6 more

Professor Diana Ivanova is a faculty member at the Faculty of Pharmacy , Medical University - Varna , serving as a leading researcher in the Department of Biochemistry, Molecular Medicine and Nutrigenomics . Her academic career includes a Doctor of Science degree in Biological Sciences (2013) and Professor status since 2013. Her research focuses on oxidative stress and antioxidant protection in health and disease, nutrigenomics , metabolic adaptation , and the biochemistry of nutrition linked to socially significant diseases. She has published over 150 works and led numerous international collaborations, including the establishment of the Nutrigenomics Center at Medical University - Varna with Wageningen University. Her selected publications highlight interdisciplinary research spanning metabolic syndrome , inflammatory markers , plant-based bioactives , and clinical biochemistry . She has received multiple accolades, including the 2023 Union of Scientists in Varna Award and the Dean's Award for contributions to the Faculty of Pharmacy. 2023 : Union of Scientists in Varna Award 2023 : Dean's Award for Overall Contribution 2012 : Honorary Sign with Blue Ribbon As a coordinator for Bulgaria in the European Nutrigenomics Association (NuGO) and member of the Supreme Council of Pharmacy at the Ministry of Health, she bridges academic research with national health policy. Her teaching includes courses in Biochemistry and Molecular Biology in Medicine for medical and pharmacy students.

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

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