جستجوی استاد راهنمای دانشگاهی

Olga Ilieva Georgievaمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۶ مورد دیگر

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 .

Dovgun Andriy Yaroslavovychمشاهده پروفایل

دانشیار

• Automatic Control Systems
• Stochastic Dynamic Systems
• Algorithms and Data Structures
• +۲ مورد دیگر

Dovgun Andriy Yaroslavovych is an Associate Professor at the Department of Computer Science, Yuriy Fedkovych Chernivtsi National University. His academic profile includes a Candidate of Physical and Mathematical Sciences degree (specialty 01.05.01 - Theoretical Foundations of Informatics and Cybernetics) and formal certification in computer science teaching methods. Research Focus : Stochastic dynamic systems, automatic control, biomedical optics, algorithms, and information technologies. Key Publications : Authored educational manuals on data structures (2024), algorithms (2022), and contributed to cross-platform decision support systems analysis (2023). Professional Affiliation : Member of the Chernivtsi IT Cluster since 2019.

Dragomir Penkov Chantovمشاهده پروفایل

دانشیار

• Chaos Theory
• Control Theory
• Secure Data Transmission
• +۳ مورد دیگر

Dragomir Penkov Chantov is an Associate Professor at the Technical University of Gabrovo, Bulgaria, where he works in the Department of Automation, Information and Control Technology within the Faculty of Electrical Engineering and Electronics. Holding a Doctorate in Technical Sciences, he has been a faculty member since 1998, specializing in Theory of Automatic Control. His academic career includes significant contributions to chaos theory and control systems. Chantov's primary research interests focus on Chaos Theory and Control Theory, with particular emphasis on chaotic synchronization methods, secure data transmission systems, and nonlinear control applications. His work bridges theoretical mathematics with practical engineering applications, especially in cybersecurity and industrial control systems. He has developed numerous synchronization schemes including identical, anti-, hybrid, scaled, and oscillating synchronization techniques for various chaotic systems. His research output shows a clear progression from fundamental chaotic system analysis toward practical applications in secure communications and industrial cybersecurity. The publications demonstrate expertise in both theoretical aspects (Lyapunov stability, hyperchaotic systems) and applied implementations (data encryption, image transmission security). His recent work has increasingly focused on multi-system synchronization and industrial cybersecurity applications within Industry 4.0 frameworks. Electronic voting systems at Technical University - Gabrovo (2022) Security methods for cyber-physical systems in Industry 4.0 (2020) Schools for Makers: Incorporating 3D design into secondary education (2020) Smart drug dispensary with personal information protection (2017) Chantov has supervised at least one PhD student, Christina Svetoslavova Stoycheva, whose dissertation focused on the synthesis and analysis of chaotic synchronization systems. His teaching portfolio includes Systems Theory, Control Theory (I & II), System Identification, Microprocessor Technology, and Control of Renewable Energy Sources. His international collaborations and specializations at institutions in Germany, Czech Republic, and Austria have enriched his research perspective.

• Control Systems
• Electro-Hydraulic Servo Systems
• Artificial Neural Networks
• +۴ مورد دیگر

Georgi Ivanov Mihalev is an Assistant Professor at the Technical University - Gabrovo, working within the Faculty of Electrical Engineering and Electronics, specifically in the Department of Automation, Information and Control Technology. Holding a Doctorate in Technical Sciences (scientific and educational), he has established himself as a significant contributor to control systems engineering and related fields. His academic career spans over a decade with continuous publication output since 2012. Dr. Mihalev's research interests focus on advanced control methodologies, particularly in electro-hydraulic servo systems, artificial neural networks applications, and image processing techniques. His work demonstrates a consistent pattern of applying theoretical control concepts to practical engineering problems across diverse domains including robotics, waste management systems, and image encryption. The breadth of his research shows particular strength in developing novel control algorithms that combine traditional approaches with machine learning techniques. Analysis of his publication record reveals a strong emphasis on practical implementation of control systems, with numerous papers addressing electro-hydraulic servo systems (appearing in approximately 40% of his recent work), followed by applications of artificial intelligence techniques to engineering problems. His 2025 Journal of Imaging paper demonstrates his expanding research scope into secure image transmission, showing increasing interdisciplinary work that combines control theory with cryptography. Dr. Mihalev has been actively involved in multiple international conferences in Bulgaria including AUTOMATICS AND INFORMATICS, UNITECH, and UTEOS symposiums, establishing himself as a regular contributor to the Bulgarian engineering research community. His collaborative work patterns show consistent partnerships with researchers including S. Yordanov, H. Stoycheva, and K. Ormandzhiev across multiple publications and research projects. His laboratory work appears to focus on practical implementation of control systems, with documented research on electro-hydraulic servo systems, robotic manipulators, vibratory bowl feeders, and intelligent waste collection systems. This suggests hands-on experimental research capabilities alongside theoretical contributions.

Mykhailo Petrovych Gorskyمشاهده پروفایل

استادیار

• Computer Modeling
• Physical Phenomena
• Parallel Computing
• +۵ مورد دیگر

Mykhailo Petrovych Gorsky serves as Assistant Professor in the Department of Computer Science at Yuriy Fedkovych Chernivtsi National University, specializing in computational modeling of physical systems and high-performance computing. He holds a Candidate of Physical and Mathematical Sciences degree (2012) and Associate Professor certification (2017). His educational credentials include: Bioengineer from Yuriy Fedkovych Chernivtsi National University (2002) Candidate of Physical and Mathematical Sciences in Optics and Laser Physics (2012) Professional development certificates in cloud services and distributed systems from Ternopil National Technical University (2021) Gorsky's research centers on computer modeling of physical phenomena with emphasis on parallel, distributed, and cloud computing applications. His work bridges optical physics, digital image processing, and material science, developing algorithms for 3D polarization mapping, polycrystalline structure reconstruction, and statistical analysis of microscopic images. Key application areas include printing industry quality control and biomedical diagnostics. Analysis of his 2022-2024 publications reveals a strong trend toward cloud-based optical computation (particularly AWS infrastructure), interdisciplinary biomedical tomography, and industrial applications of polarization mapping. His work consistently integrates computer science with optics and material science, demonstrating technical depth in both algorithm development and practical implementation. Professionally, Gorsky serves as Team Lead at OSF GLOBAL UKRAINE and participates in the Chernivtsi IT Cluster 'Cluster Bit' since 2020. He has authored multiple textbooks on distributed systems and cloud computing, including 'Technologies of Distributed Systems and Parallel Computing' (2022) and 'Applied Programming: From Theory to Practice' (2021).

• Marketing
• Strategic Marketing
• Company Competitiveness
• +۵ مورد دیگر

Assoc. Prof. Dr. Tsanko Iliev Stefanov is an Associate Professor at the Department of Economic Theory and International Economic Relations within the Faculty of Economics at the University of Veliko Tarnovo. He has established himself as a prominent scholar in marketing, strategic management, and regional development, with numerous publications spanning over two decades of academic work. Dr. Stefanov's primary research interests focus on marketing theory and practice, strategic marketing approaches, company competitiveness, regional development policies, and public sector management. His work bridges theoretical economic concepts with practical applications in the Bulgarian business environment, particularly examining how companies and public institutions can enhance their competitiveness through strategic marketing and management practices. His recent publications demonstrate a strong focus on public sector management, with particular attention to municipal marketing, quality management in public institutions, and the marketing of cultural heritage sites. Dr. Stefanov has also conducted significant research on tourism development, including specialized areas such as SPA tourism and archaeological site marketing. His scholarly output shows a consistent pattern of addressing practical economic challenges in the Bulgarian context while applying theoretical frameworks from marketing and management disciplines. Dr. Stefanov actively leads and participates in research projects examining institutional activities from managerial and marketing perspectives in the public sector. He has served as team leader for projects investigating marketing aspects in public institutions and social-economic development in rural areas, particularly focusing on challenges emerging during the COVID-19 pandemic. His work demonstrates commitment to applying academic research to practical economic and social challenges facing Bulgarian communities.

• Telecommunications
• Digital Signal Processing
• Communication Systems
• +۱۰ مورد دیگر

Assoc. Prof. Boyan Dimitrov Karapenev serves as Deputy Dean at the Technical University of Gabrovo , within the Faculty of Electrical Engineering and Electronics and the Department of Communication Equipment and Technologies . He holds a Doctor of Technical Sciences degree and has led or participated in 12 university-funded research projects since 2005. His office is located in Room 2303, and he can be reached at bkarapenev@tugab.bg . Education: Dr. Karapenev earned his Doctor (scientific and educational) degree in Technical Sciences, specializing in telecommunications and electronic systems. Research Interests: His work spans telecommunications , digital signal processing , communication systems , analog and digital circuit design , harmonic oscillators , quadrature generators , modulation and demodulation techniques , broadband amplifiers , transmission line transformers , RF planning , IPv6 protocol , smart home systems , and IoT communications . Recent Publications Trend: His 2023–2024 publications focus on quadrature RC oscillator design , LoRaWAN energy efficiency , ICT prototypes for big data , and AI-based voice analysis , reflecting a shift toward energy-efficient IoT systems and AI applications in communications . Scientific Awards: No specific awards are mentioned in the provided materials. Doctoral Supervision & Research Leadership: Dr. Karapenev has supervised four PhD students: Ivaylo Rumenov Bobev – “Signal studies in automatic tuning of radio communication devices” Nikolay Petkov Manchev – “Development and research of a low-power wireless IoT communication platform” Radoslav Marinov Maznev – “Monitoring and control in optical-fiber cable TV networks” Ivailina Atanasova Dimitrova – “Research and adaptation of parameters in digital audio signal processing in communications” (withdrawn) He has led 12 university research projects since 2005, involving teams of 4–20 researchers, focusing on telecommunications, RF planning, digital modulation, IPv6, and IoT systems. Laboratory & Team: He operates from Cabinet 2303 , serving as Deputy Dean and project leader, overseeing research teams in communication technologies and electronics.

Lisovenko Iryna Dmytrivnaمشاهده پروفایل

استادیار

• Parallel and Distributed Computing
• GPU Computing
• Automatic Program Parallelization
• +۳ مورد دیگر

Lisovenko Iryna Dmytrivna serves as Assistant Professor in the Department of Computer Systems and Networks at Yuriy Fedkovych Chernivtsi National University since 2002, following her 2000 diploma in Computer Systems and Networks from the same institution. Her professional trajectory includes software engineering at a municipal medical institution (2000–2002) and ongoing contractual collaboration with Elogic Commerce since 2018. Her academic credentials include: Yuriy Fedkovych Chernivtsi State University, Faculty of Physics, Department of Computer Science, specialty "Computer Systems and Networks" (2000) Dr. Lisovenko's research centers on parallel and distributed computing, emphasizing automatic parallelization techniques, GPU-accelerated non-graphical computing, and structural analysis of program intermediate representations. She concurrently investigates specialized computer systems for data stream processing and develops methodologies for enterprise accounting automation, bridging theoretical computer science with business process optimization. Her scholarly output demonstrates sustained innovation in high-performance computing architectures. Analysis of her 15 most recent publications (2012–2021) reveals three dominant research thrusts: GPU-based parallelization (40% of works, including Kalyna encryption and bitonic sorting implementations), algorithmic optimization for diverse hardware (33%, covering sorting networks and structural matrices), and applied systems for real-world problems (27%, spanning smart home control, social media analysis, and enterprise automation). This evolution reflects increasing focus on practical GPU applications while maintaining core expertise in parallel algorithm design. She actively contributes to academic development through teaching Parallel and Distributed Computing, Economic and Legal Aspects of Enterprise Automation, and DevOps/DevNet courses, while authoring 12+ methodological manuals including "Parallel and Distributed Computing: Laboratory Workshop" (2022) and "System Administration of Linux OS" (2021). Her professional development includes certifications in Constitutional Law, Finance and Investment, DevNet Associate, and All Digital Week initiatives (2020–2021).