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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.

• Computer Measurement and Control Systems
• Automation of Experimental Research
• Artificial Intelligence
• +7 more

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.

• Data Compression and Protection
• Telemetry Systems
• Reconfigurable Information Processing Systems
• +6 more

Milen Yordanov Petrov serves as Professor in the Department of Software Engineering at Sofia University's Faculty of Mathematics and Informatics. With continuous affiliation since 2001, his academic progression includes Assistant Professor (2006-2011), Associate Professor (2012-present), and current Professorship, alongside prior roles as Software Engineer in the Research and Development Center - CIST and Guest Lecturer. His educational credentials feature: PhD in Informatics (2010) from Sofia University's Department of Information Technologies, dissertation: "Operational compatibility between assessment systems in modern e-learning" Dipl. Eng. (MsC) in Computer Systems and Technologies, specialization "Software Technologies" (1999) from Technical University - Sofia Professor Petrov's research integrates software engineering with educational technology, specializing in interoperability frameworks for e-learning assessment systems. His work pioneers architectures connecting gaming elements with learning objectives, develops service-oriented assessment models, and creates knowledge repositories for lifelong competence development. Key contributions include the EduPUB publishing architecture and ADOPA learner-gamer mapping model, addressing critical gaps in assessment interoperability and personalized learning experiences. Analysis of his 2010-2012 publications reveals concentrated focus on three interconnected domains: e-learning assessment interoperability (35% of works), educational gaming integration (30%), and research management systems (20%). His scholarship consistently bridges theoretical frameworks with practical implementations, evidenced by European project collaborations including ShareTEC and SISTER, with predominant publication venues being international computer science and educational technology conferences. Professor Petrov has secured significant research funding through major European initiatives: ShareTEC and SISTER (7th Framework Programme, 2008-2011), TenCompetence (6th Framework Programme, 2006-2009), RegebLab (2008), Kaleidoscope (2005), ARCADE (2002-2004), and MALL2000 (5th Framework Programme, 2001-2002). His teaching portfolio spans Programming Fundamentals, Object-Oriented Programming, Data Structures, Java Server Technologies, and Network Programming. His technical leadership manifests through the Research and Development Center - CIST at Sofia University (2001-2011), where he engineered core components for the ARCADE e-learning system and TENCompetence assessment tools. Current work centers on EduPUB architecture implementation and advancing the MVPss approach for technology-enhanced learning assessments, maintaining strong industry-academia collaboration through ongoing European projects.

• Software Engineering
• Interoperability
• Object-Oriented Programming Languages
• +2 more

Atanas Atanasov is an Associate Professor and Head of the Department of Agricultural Machinery at the University of Ruse, Bulgaria. His academic career spans agricultural engineering with a dual focus on precision farming technologies and apicultural systems. Contact details include email aatanasov@uni-ruse.bg and phone +359 82 888 442. His research integrates advanced engineering principles with agricultural applications, specializing in agricultural machinery optimization, precision agriculture through UAV and satellite remote sensing, and honeybee population dynamics modeling. Key areas include vibration analysis in harvesters, NDVI-based crop monitoring, soil-water conservation practices, and mathematical modeling of bee colony health. His work bridges theoretical optimization techniques with practical field applications in sustainable farming systems. Analysis of his 2023-2025 publications reveals a strong emphasis on integrating deep learning with remote sensing for crop disease detection (particularly wheat rust), precision management of agricultural machinery fleets, and sophisticated modeling of honeybee colony collapse factors. His research consistently targets resource efficiency improvements in sloped land agriculture and innovative solutions for Varroa mite control in apiculture.

• Agricultural Machinery
• Precision Agriculture
• Beekeeping
• +3 more

Julia Romanova is an Associate Professor at the Department of Inorganic Chemistry, Faculty of Chemistry and Pharmacy, Sofia University "St. Kliment Ohridski". She holds a Ph.D. in Chemistry from both Sofia University (Bulgaria) and Université de Haute-Alsace (France), and has built an impressive academic career with research positions at prestigious institutions including University of Surrey (UK), University of Namur (Belgium), and Leibniz Institute for Polymer Research Dresden (Germany). Education: 2010 – Ph.D. in Chemistry, Sofia University (Bulgaria) & Université de Haute-Alsace (France) 2006 – Master in Computational Chemistry, Sofia University (Bulgaria) 2005 – Bachelor in Chemistry, Sofia University (Bulgaria) Dr. Romanova's research focuses on applied computational chemistry with special emphasis on organic and metal-organic compounds exhibiting attractive optical, magnetic and conducting properties. Her work spans theoretical chemistry, quantum mechanics, and density functional theory applications. She has made significant contributions to the field of singlet fission chromophores, molecular design of luminescent complexes, and computational approaches to materials science. Her research combines advanced computational methods with experimental validation to design novel materials for photovoltaic applications and biomedical uses. Analysis of Dr. Romanova's publication record reveals a consistent trajectory in computational chemistry with increasing focus on machine learning applications in materials discovery. Her recent work demonstrates expertise in singlet fission chromophores, luminescent lanthanide complexes, and the relationship between molecular structure and photophysical properties. The interdisciplinary nature of her research bridges chemistry, physics, and computational science, with applications ranging from renewable energy to biomedical diagnostics. Scientific Awards: Evrika Award for achievements in sciences, Evrika Foundation, Sofia, Bulgaria (2011) Award for the best project realized in the Faculty of Chemistry, University of Sofia (2009) French Government Scholarship for joint supervision of a thesis between University of Sofia and Université de Haute-Alsace (2007-2010) Dr. Romanova serves as Principal Investigator for multiple research projects including an Advanced Research Project on machine learning for structure-properties relationship evaluation (2019-2023, Bulgarian Science Fund) and PhD supporting projects at Sofia University. She co-supervises PhD student Joanna Stoycheva and teaches courses in General and Inorganic Chemistry, Chemistry of the Elements, and Molecular Modeling of Excited States across multiple departments at Sofia University. Her academic mobility includes research stays at University of Surrey, University of Namur, and Leibniz Institute for Polymer Research Dresden, reflecting her strong international collaborations. Dr. Romanova's research activities are centered at the Department of Inorganic Chemistry at Sofia University, where she leads projects focused on computational design of novel materials. Her work involves close collaboration with researchers from multiple institutions across Europe and utilizes advanced computational methods to investigate molecular properties and design new materials with targeted characteristics.

• Applied computational chemistry
• Theoretical chemistry
• Quantum mechanics
• +9 more

Dimitar Georgiev Dimitrov is an Associate Professor in the Department of Computer Informatics at the Faculty of Mathematics and Informatics, Sofia University. He can be contacted via email at dgdimitrov@fmi.uni-sofia.bg and is based in room FMI-111. His research interests span core areas of computer science, including Software Engineering Data Structures Algorithms Artificial Intelligence Database Systems

• Computer Science
• Software Engineering
• Data Structures
• +3 more

Elena Ivanova Zaharieva-Stoyanova is an Associate Professor at the Technical University of Gabrovo, Bulgaria, specializing in Computer Systems and Technologies. She holds a Doctorate in Automated Design Systems in Knitwear Production (1999) and was appointed Associate Professor in 2005. Her academic career spans over 25 years at the Technical University of Gabrovo, progressing from Assistant to her current position. Dr. Zaharieva-Stoyanova's research focuses on the intersection of computer science and traditional textile arts, particularly developing CAD/CAM systems for knitting and crochet industries. Her work bridges software engineering with cultural heritage preservation, creating digital representations of traditional costumes and developing specialized XML-based languages for craft pattern description. She teaches Object-Oriented Programming and Introduction to Programming at the bachelor's level, and Platform-Independent Programming at the master's level. Her publication record shows a clear progression from foundational CAD system development to sophisticated digital representation of traditional crafts. The most recent articles demonstrate her specialization in XML-based languages for knitting and crochet symbols, color stitch representation, and validation modules for traditional costume digitization. This research trajectory reflects a deep commitment to preserving cultural heritage through technological innovation. Dr. Zaharieva-Stoyanova has participated in numerous scientific projects funded by the Scientific Research Fund from 2001-2017, covering image processing in CAD systems, digital data transmission, and most recently, cloud-based medication monitoring systems. She is a member of both the Union of Scientists in Bulgaria and the Union of Automation and Informatics. Fluent in English and Russian with excellent reading and very good writing and speaking skills in both languages, she has conducted specializations in the Czech Republic and Croatia under the CEEPUS project. Her international collaborations are evident in her publications presented at conferences across Europe including Bulgaria, Serbia, Macedonia, Greece, Spain, Austria, Romania, and Ireland.

• Computer-Aided Design (CAD)
• Image Processing
• Knitting Industry Automation
• +5 more

Metodi Traykov is an Associate Professor at the Department of Informatics, New Bulgarian University (NBU). He holds a PhD in Informatics and Computer Science, having completed his doctoral thesis on Mathematical Models and Algorithms for Predicting the Spatial Structure of Proteins at South-West University 'Neofit Rilski'. He has been a faculty member at NBU since 2019 and previously served as an Assistant at South-West University from 2013 to 2018. Education: Bachelor's and Master's in Informatics, South-West University 'Neofit Rilski' (2012–2013) PhD in Informatics, South-West University 'Neofit Rilski' (2017) Teaching: Leads courses in Programming, Object-Oriented Programming, Data Structures, Java, and Algorithms at NBU Guest lectures at American University in Bulgaria on Website Development, C# Programming, and Python Research: Focuses on Bioinformatics, protein structure prediction, optimization algorithms, and genetic code properties Developed mathematical models for protein folding and virtual reality applications Collaborates with researchers like Ivan Trenchev, Rossen Mavrevski, and Nikolina Pencheva Recent Publications: Explores computational methods in protein structure analysis and optimization algorithms Interdisciplinary work in virtual reality, cultural heritage preservation, and biostatistics

• Bioinformatics
• Protein Structure Prediction
• Optimization Algorithms
• +5 more

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).

• Computer Modeling
• Physical Phenomena
• Parallel Computing
• +5 more

Ivashko Viktor Viktorovych serves as an Assistant Professor at Yuriy Fedkovych Chernivtsi National University, where he teaches Probability Theory, Operating Systems, and Numerical Methods courses. Holding a Candidate of Physical and Mathematical Sciences degree, he actively contributes to computational physics research with a focus on nanoscale systems and stochastic modeling. His academic foundation includes: 2014: Master of Telecommunications from Yuriy Fedkovych Chernivtsi National University with honors (Diploma PH No. 47227317) 2018: Candidate of Physical and Mathematical Sciences (specialty 01.04.07 – Solid State Physics) for dissertation 'Features of Transition Phenomena between Low- and High-Spin States of Spin-Crossover Compounds' (DK No. 046497) Dr. Ivashko's research centers on computational modeling of physical systems using Monte Carlo methods, particularly investigating spin-crossover compounds and nanomaterials. His work bridges solid-state physics and statistical mechanics, with significant applications in molecular electronics and nanodevice development. Recent publications reveal consistent focus on impurity effects in nanoparticles, magnetic properties of carbon-based systems, and pressure-induced electronic bistability in coordination polymers, demonstrating methodological expertise in simulating nanoscale phase transitions. His scientific recognition includes: Gratitude for significant scientific achievements (2016-2017) Through scientific consulting for MPP 'PROM.SOFT' and authorship of 12+ textbooks/monographs, he actively shapes academic curricula. Professional development includes Sigma Software's Teachers’ Smart Up programs (2023-2024), Softserve's Tech Summer Bootcamp, and Coursera specializations in Python and web development. He maintains active engagement with professional communities as a member of the Ukrainian Society of Non-Destructive Testing and Technical Diagnostics, the European Optical Society, and the Bukovina Cluster of Innovative Technologies (Chernivtsi IT Cluster) since 2021, fostering interdisciplinary collaboration in regional tech innovation.

• Computational Physics
• Solid State Physics
• Statistical Mechanics
• +3 more

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.

• Computer Architecture
• Parallel Computing
• Algorithm Design
• +5 more

Gorditsa Valentina Emanuilivna serves as a Lecturer at the Department of Computer Systems and Networks within the Faculty of Physics at Chernivtsi National University. Her teaching portfolio spans critical disciplines including Information Theory and Coding, Data Transmission Systems, Computer Architecture, Internet of Things for Cyber-Physical Systems, and VHDL Design Technologies, reflecting deep integration of theoretical and applied computing. She earned her Diploma in 2001 from Chernivtsi National University's Faculty of Physics, Department of Computer Systems and Networks, establishing her foundational expertise in hardware and communication systems. Her research centers on data compression and protection within telemetric reconfigurable information processing systems, emphasizing adaptive noise immunity and multilevel coding. This work bridges cryptographic security with hardware reconfiguration to enhance reliability in dynamic transmission environments, particularly for cyber-physical applications requiring real-time data integrity. Analysis of her 2005-2016 publications reveals consistent innovation in telemetric data transmission, with recurring themes of self-adaptive codec reconfiguration, multifrequency code optimization, and reconfigurable environments for security. Her contributions demonstrate a methodical progression from signal generator instrumentation to advanced noise-immunity frameworks, highlighting practical implementations in semiconductor systems and communication protocols. Professional certifications including dComFra workshops, Cisco IoT training, and AllDigitalWeek participation underscore her engagement with emerging technologies, though no formal scientific awards or grants are documented. No information is available regarding academic advising, laboratory leadership, or research teams.

• Data Compression
• Cryptography
• Telemetric Systems
• +5 more

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.

• Information Security
• Cryptography
• Computer Networks
• +3 more

Rumyana Aneva serves as Chief Assistant Professor at the Faculty of Geodesy, University of Architecture, Civil Engineering and Geodesy (UACEG) in Sofia, specializing in the Department of Applied Geodesy. Her academic role encompasses teaching Engineering Geodesy and Geodesy/Vertical Planning across multiple specialties including Construction Management, LALP, and Geodesy degrees. Her research focuses on hydrographic measurement systems, reservoir sediment monitoring, and dam safety assessment. Key methodologies include bathymetric surveying, topographic curve derivation, and vertical deformation analysis for critical infrastructure. Recent work emphasizes automated geodetic control systems and precision in sediment profile measurement for dam management. Analysis of her 2012-2023 publications reveals consistent specialization in reservoir monitoring technologies, with increasing emphasis on software solutions for hydrographic data processing and standardized risk assessment protocols. Her work bridges theoretical geodesy with practical civil engineering applications in water resource management. Professional contributions include participation in 10+ national projects (2004-2016) on dam sediment studies and international initiatives like the EU's DAMSAFE program (2011-2013). She develops comprehensive educational materials including lecture courses, exercise sheets, and calendar plans for geodesy disciplines. Current responsibilities include reception hours through January 2025, demonstrating active academic engagement. Her work directly supports Bulgaria's infrastructure safety through precise geodetic applications in hydrographic and civil engineering contexts.

• Engineering Geodesy
• Hydrographic Measurements
• Reservoir Sediment Monitoring
• +3 more

Prof. Dr. Eng. Yuri Tsanovski serves as Deputy Dean for Academic Affairs at the Faculty of Geodesy, University of Architecture, Civil Engineering and Geodesy (UACEG). He is affiliated with the Department of Higher Geodesy where he maintains Cabinet 500. His academic career spans multiple roles from Senior Assistant to current Associate Professor status. Dr. Tsanovski's research focuses on Engineering Geodesy, Cadastre, Hydrography, and GNSS technologies. His work includes significant Antarctic research participation through the 18th and 24th Bulgarian Antarctic Expeditions, contributing to geodetic surveying in extreme environments. His scientific interests bridge theoretical geodesy with practical applications in navigation systems and precision measurement. His publication portfolio demonstrates consistent advancement in GNSS technologies, evolving from foundational GPS concepts to specialized applications in kinematic positioning and precision measurements. The research trajectory shows increasing sophistication in handling complex geodetic problems, particularly in network alignment and satellite-based positioning systems. Dr. Tsanovski actively contributes to academic instruction through multiple lecture courses including Global Navigation Satellite Systems, Precise GPS Measurements, and Space Geodesy. His teaching materials reflect practical applications across both theoretical and hands-on components of geodetic education.

• Engineering Geodesy
• Cadastre
• Hydrography
• +3 more