Vasil Georgiev Tsunizhev is a Professor of Computer Informatics at the Faculty of Mathematics and Informatics, Sofia University, with office hours Monday and Wednesday 13:00-14:00 in room FMI-110. Contact: v.georgiev@fmi.uni-sofia.bg, +359 2 8161-594. His research spans cloud computing, distributed systems, and grid technologies with emphasis on resource management, load balancing, and service modeling. Key contributions include numerical solutions for cloud servicing, distributed coordination mechanisms, and fault-tolerant information services. His work integrates open-source components and addresses scalability challenges in cloud environments. Analysis of his 2009-2015 publications reveals consistent focus on cloud infrastructure optimization, with recurring themes in resource frameworks, quality-of-service models, and distributed coordination. His research demonstrates strong technical depth in numerical modeling and system architecture while addressing real-world scalability and fault tolerance requirements. Professor Tsunizhev collaborates internationally through projects like CoreGRID (contributing to grid security white papers) and works with researchers including R. Zhelev and L. Kirchev. His laboratory work focuses on commodity grid platforms and lightweight resource management systems for distributed computing environments.
Assoc. Prof. Ivaylo Donchev is affiliated with the University of Veliko Tarnovo , specifically the Faculty of Mathematics and Informatics . His research focuses on Object-Oriented Programming , C++ , C# , .NET , Functional Programming , and Informatics Didactics . Current projects: "Methodology for Modeling and Development of Information Systems with Artificial Intelligence in Education" (2025) "Digital Accessibility for Visually Impaired in Research/Education" (2023) His publications (2015–2025) emphasize Object-Oriented Programming , Modern C++ , Exception Handling , and Programming Education . Recent work includes optimizations in C# memory handling, AI-driven systems for academic resource management, and accessibility improvements for research platforms. He contributes to STEM education , Software Engineering Methodologies , and Digital Inclusion , with a focus on practical implementations in academic settings.
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.
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.
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.
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.
Balovsyak Serhiy Vasyliovych is an Associate Professor at the Department of Computer Systems and Networks, Faculty of Physics, Yuriy Fedkovych Chernivtsi National University. He holds a Doctor of Technical Sciences degree with expertise spanning computer measurement systems, digital image processing, and X-ray diagnostics. His academic journey began with a Candidate's thesis in solid-state physics (2003) and culminated in a Doctoral dissertation on multilevel methods for processing electron diffraction and X-ray signals (2019). His educational background includes graduation from Chernivtsi State University, Faculty of Physics, Department of Radio Engineering (1995). His professional career evolved from Engineer in Solid State Physics (1995-2003) to Assistant Professor (2004-2006), culminating in his current position as Associate Professor since 2006. Dr. Balovsyak's research interests encompass development of computer measurement and control systems, automation of experimental research, artificial intelligence, pattern recognition, digital image processing, artificial neural networks, and genetic algorithms. His work bridges physics and computer science, particularly in applying computational methods to analyze X-ray and electron diffraction data. His publication record demonstrates a clear progression from fundamental physics research toward increasingly sophisticated computational methods for image processing and analysis. Recent work focuses on Gaussian noise estimation and removal, adaptive image filtering, and computer vision applications, while maintaining connections to his foundational work in materials characterization through X-ray techniques. Certificate of Honor from the Chernivtsi Regional State Administration to the 140th anniversary of the Chernivtsi National University Dr. Balovsyak has developed numerous educational materials including lecture notes and laboratory manuals on Computer Systems of Artificial Intelligence, Digital Image Processing Methods, and other computer science topics. His work demonstrates strong integration between theoretical knowledge and practical implementation, with multiple software systems and patents developed for image processing and materials analysis applications.
Світлана Львівна Воропаєва serves as an Assistant Professor at the Department of Computer Systems and Networks within the Faculty of Physics at Yuriy Fedkovych Chernivtsi National University. Holding a Candidate of Technical Sciences degree (2012) with her dissertation on 'Computerized system of UV sources monitoring', she teaches Engineering Graphics, Computer Graphics, and Technology of Designing Computer Systems while maintaining active research in applied computer engineering. Education: Chernivtsi National University named after Yuriy Fedkovych, Faculty of Physics, Department of Electronic Computing Machines (2000) Her research centers on data compression and protection in telemetry reconfigurable information systems, with significant contributions across computer vision (handwritten text recognition, video parameter optimization), image processing (scanned document enhancement), UV radiation monitoring (Tensor-31M radiometer-dosimeter), and semiconductor photodetector systems. She specializes in hardware-software integration for real-time control applications, particularly in UV source management and smart home technologies, while developing advanced signal processing algorithms for spectral coordination and parameter stabilization. Analysis of her 15 most recent publications (2005-2018) reveals consistent focus on applied solutions bridging computer science and physical instrumentation. Her work demonstrates strong interdisciplinary collaboration, particularly with Vorobets and Dobrovolskyi teams, evolving from semiconductor interface modeling (2005-2007) toward practical implementations in computer vision (2018) and smart systems. Key thematic progression shows increasing emphasis on neural networks, parallel computing, and IoT-integrated hardware solutions while maintaining core expertise in radiation physics and optoelectronics. Professional development is evidenced by 15+ certificates (2019-2023) in digital competencies including Adobe Photoshop, project planning, active learning methods, and international conference participation (Austria, Czech Republic, Romania). Her technical leadership spans hardware-software co-design for UV monitoring systems, photodetector optimization, and embedded control modules, with consistent publication output in Ukrainian and international engineering venues.
Assoc. Prof. Ivan Ivanov is affiliated with the Faculty of Theology at the University of Sofia , where he holds the academic rank of Associate Professor . His research spans interdisciplinary domains, including Medical Research , Artificial Intelligence , Public Health , and Theology . Email: ivan.ivanov@theo.uni-sofia.bg Research Interests: His work addresses diverse topics such as: Medical Research: Cancer prognosis, Ki-67 assessment, dental treatments, and infectious diseases. Artificial Intelligence: Energy consumption prediction and AI in programmer training. Public Health: Co-infections in pandemic contexts, substance abuse interventions, and epidemiological studies. Biomechanics: Analysis of human movement and therapeutic applications. Education: AI-driven educational tools and language acquisition. Theology: Historical and liturgical interpretations. Publications: His recent works focus on interdisciplinary applications in healthcare, AI, and theological studies, reflecting a broad methodological approach. Additional Contributions: Ivanov actively engages in software-defined radio research, cybersecurity, and educational technology development.
Valentina Vasileva Rankovska is an Associate Professor at the Department of Electronics, Technical University - Gabrovo. She holds a Doctorate in Technical Sciences and specializes in microprocessor systems, embedded electronics, and FPGA-based design. Her work focuses on innovative educational tools using open-source hardware (e.g., Arduino platforms) and advanced control systems in energy and automation. Research interests include wireless energy transmission, digital signal processing, and IoT integration. She has led or participated in over 16 research projects, including electric vehicle conversion and smart home systems. Key contributions include developing FPGA-based systems for industrial applications and educational modules for embedded systems teaching. Publications span 39 works, including 3 textbooks on microprocessor technology and numerous conference papers in international venues like ICEST and ET Conferences. Notable projects include contactless power transmission systems and microcontroller laboratory tools. Her academic contributions emphasize bridging theory and practice through hands-on educational approaches, with a focus on cost-effective, open-source solutions for engineering education.
Associate Professor Yakovleva Inna Dmitrievna serves in the Department of Computer Systems and Networks at Chernivtsi National University's Faculty of Physics. With over two decades of academic experience, she has established herself as a prominent researcher in computer architecture and parallel computing. Her career progression from Assistant Professor (2003-2011) to her current Associate Professor position demonstrates her commitment to the institution and field. Her educational background includes a degree from Chernivtsi State University named after Yu. Fedkovych (Faculty of Physics, Department of Computer Science, 1993) followed by candidate studies at Lviv Polytechnic National University (2004-2007). She earned her Candidate of Technical Sciences degree in 2010 with a thesis on "Methods and tools for designing algorithmic operating devices with graphical representation of executed algorithms". Professor Yakovleva's research spans specialized computer systems, theoretical foundations of computer construction, data stream processing, algorithm development, parallelization techniques, and specialized processor design. Her work demonstrates a consistent focus on bridging theoretical computer science with practical hardware implementation, particularly through graphical representations of algorithms. She has made significant contributions to structural matrix representations of algorithm flow graphs and parallel computing architectures. Her publication record shows a strong trajectory in algorithm representation methods, evolving from foundational work on structural matrices to applications in smart home technology, voice control systems, and image processing. Recent publications indicate expanding interests in AI applications while maintaining core expertise in parallel computing and hardware design. Certificate of Appreciation from Ministry of Education (2023) 5 Years of Service Instructor Certificate (2021) Honorary Certificate from Regional Authorities (2019) Multiple EarthRover competition awards (2011-2018) Professional certifications in Linux, Cisco, and ChatGPT technologies Professor Yakovleva teaches System Software, VHDL Design Technology, Linux System Administration, and Cisco NDG Linux Essentials. Her professional development includes numerous certifications reflecting current industry trends. While the text doesn't detail specific mentoring activities, her extensive publication record with multiple co-authors suggests active collaboration with students and colleagues. Her work with research teams is evident through numerous joint publications, particularly with colleagues like Melnyk A.O. and Lisovenko I.D.
Olar Oksana Yaremivna is an Associate Professor at the Department of Computer Systems and Networks, Chernivtsi National University, Faculty of Physics. She holds a Candidate of Technical Sciences degree and has focused her career on the integration of artificial intelligence into computer diagnostics and reliability systems. Education: Chernivtsi State University (2002), Khmelnytskyi National University (2009) Research interests include: Intelligent diagnostic methods for computer systems Knowledge representation models Network reliability and fault tolerance Data mining in diagnostics Key article trends reveal her work centers on applying AI to computer diagnostics, optimizing knowledge repositories, and improving system reliability through formal modeling and ontology development. Scientific awards : Advanced Certificate (Solvd, 2022) Cisco Recognition Certificate (2021) Woman In IT Certificate (2020-2021) CCNA1 Instructor Certificate (2020) Project grant (896/P-DUN/2018) for Fuzzy Petri Net research Teaching contributions span disciplines like Computer Networks, Testing, and Information Protection in Databases. She has developed comprehensive educational materials including textbooks and lecture notes.
Boncho Ivanov Aleksandrov is a Professor at the Technical University - Gabrovo, Faculty of Computer Systems and Technologies, Department of Information Security and Computer Systems. He has maintained an active research and teaching career with numerous publications and research projects spanning over a decade. His research interests focus on information security, cryptography, computer networks, and electronic business. His work bridges theoretical cryptographic methods with practical business applications, developing solutions for secure information exchange, data protection, and business process modeling in digital environments. Alexandrov's publication record shows a consistent progression from foundational cryptographic research to more applied business and management contexts. His recent work (2017-2019) demonstrates increased focus on cloud computing environments, IT resource management, and electronic business security, while maintaining his expertise in core information security principles. He has successfully supervised PhD research, with Petko Vasilev Kochevski completing work on 'Hybrid cryptographic tools and systems for information protection in computer networks and systems.' Alexandrov has led multiple significant research projects at Technical University - Gabrovo, particularly in information technology management (2015), business information flows (2014), and business process modeling (2008-2011). His leadership roles in these projects demonstrate his standing within the academic community and expertise in the field.
Prof. Dr. Eng. Nikolay Mihaylov serves as a Part-time Lecturer at the University of Architecture, Civil Engineering and Geodesy (UACEG) in Sofia, Bulgaria, within the Faculty of Transport Engineering, Department of Roads and Transport Facilities. With over two decades of academic experience since 2004, he teaches courses in Road Construction, Modern Technologies in Road Construction, and Management of Corporate Communities. His educational journey spans multiple prestigious institutions: 2016: Doctor of Economic Sciences from the Institute for Economic Research at the Bulgarian Academy of Sciences with dissertation on "Corporate governance as a driving force for improving the performance of the enterprise" 1997: Specialization in "Business and Business Process Management" from the Austrian Chamber of Commerce 1993: Specialization in management and business from the University of Economics, Varna 1992: Candidate of Technical Sciences/Doctor of Technical Sciences 1982: Specialization in "Design and Construction of Motorways" from UACEG 1981: Master's Degree in "Transport Construction" from UACEG 1975: Secondary education from the Vocational High School of Civil Engineering, Architecture and Geodesy "Lubor Bayer" in Stara Zagora Prof. Mihaylov's research bridges engineering and economic perspectives, focusing on transport infrastructure, innovative construction technologies, infrastructure economics, and corporate community management. His work demonstrates a clear progression from technical aspects of road construction to broader economic and management considerations. Recent publications emphasize strategic corridor development, laboratory testing of construction materials, and corporate social responsibility in infrastructure projects. His scientific activity includes leadership in developing new technologies like cold recycling of asphalt concrete pavements, polymer-modified bitumens, and execution of embankments from non-traditional materials, which offers environmental benefits including waste disposal reduction and preservation of natural soil. His extensive publication record shows consistent focus on practical applications of transportation infrastructure research, with significant contributions to road construction methodologies and infrastructure economics. The research demonstrates increasing sophistication from basic construction techniques to complex systems thinking about infrastructure development. Among his numerous accolades: "Engineer of the Year" by the Association of Road Engineers and Consultants (2012) Gold Award from KRIB in the "Growth" category (2015) Prestigious Serbian award "Regional Business Partner" (2015) Russian "Prometheus" Order for exceptional contribution to science and education (2015) "Burov" Award for industrial management (2010) Multiple annual awards for luxury construction, architecture and design (2016) Prof. Mihaylov has supervised over 40 graduates from UACEG and initiated student scientific competitions. He has been instrumental in developing internship programs and scholarship opportunities for students, including a 2018 recruitment campaign targeting high school graduates of Bulgarian origin in Serbia and Macedonia. His grant work includes leadership of international developments, programs, and research projects of national significance, including a joint Master's program "Infrastructure Engineering" with the Vienna University of Technology that has continued for over 15 years, with graduates receiving both Bulgarian and Austrian diplomas. He has made significant contributions to laboratory development, co-creating a scientific laboratory with the Civil Engineering Faculty of the Institute of Roads at the Vienna University of Technology. He established a comprehensive Research Center at the Department of Roads and Transport Facilities, which includes a modern laboratory, computer lab equipped with appropriate hardware and software, and a structural workshop, providing conditions for student training, doctoral candidate preparation, and real-world engineering project work. This center has attracted doctoral candidates from Bulgaria and neighboring countries, addressing the problem of habilitated faculty of the new generation and facilitating the Department's international activity.
Oleksandr Ivanovych Vorobets serves as an Associate Professor in the Department of Computer Systems and Networks at Chernivtsi National University. He holds the academic degree of Candidate of Physical and Mathematical Sciences, awarded for his 2007 PhD thesis on modifying metal-chalcogenide semiconductor barrier structures using pulsed laser irradiation. His academic foundation was built at Yuriy Fedkovych Chernivtsi State University, where he graduated from the Faculty of Physics, Department of Microelectronics and Semiconductor Devices. Research interests span semiconductor device physics , signal processing , and computer engineering , with a focus on modeling and algorithmizing primary information signal converters based on semiconductor barrier structures. His work integrates laser processing techniques for manipulating structural defects in semiconductors and developing hardware/software systems for instrumentation and control. Analysis of his publication history reveals two distinct phases: early work (2003-2009) concentrated on semiconductor material science and laser defect engineering in cadmium telluride structures, while recent publications (2015-2018) pivot toward cryptographic hardware design for IoT and telemetry applications, featuring reconfigurable coprocessors and stream ciphers. Vorobets instructs core computer engineering courses including Computer Electronics, Computer Circuit Engineering, Computer Architecture, System Programming, Microcontrollers, and Automation of Technological Processes and Measurements. His email contact is o.vorobets@chnu.edu.ua.
