جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Ensemble Models
• Data Analytics
• +۵ مورد دیگر

Maria Vitalievna Talakh serves as an Assistant Professor in the Department of Computer Science at Yuriy Fedkovych Chernivtsi National University. Holding a Candidate of Biological Sciences degree, she bridges the gap between biological sciences and computer science with her unique interdisciplinary expertise. Education: Bohdan Khmelnytskyi National University of Cherkasy (2018): Systems Analysis, Qualification: Systems Analyst (Diploma with honors) Yuriy Fedkovych Chernivtsi National University (2004): Ecology and Environmental Protection, Qualification: Master of Ecology (Diploma with honors) Candidate of Biological Sciences (2009): Specialty 03.00.16 – ecology, dissertation on 'The role of the forest beech as an edificator species in the forest ecosystem' Research Interests: Dr. Talakh's research spans machine learning algorithms (particularly ensemble models), big data analytics, computer vision, and their applications in life sciences and ecological modeling. Her work demonstrates how computational methods can solve complex problems in environmental monitoring, medical diagnostics, and software engineering. She has developed intelligent monitoring systems for climate, air temperature, plant health, and software test automation, showing the versatility of her methodological approaches. Publication Trends: Her recent scholarly output reveals a strong focus on practical applications of machine learning across diverse domains. The majority of her publications from 2020-2024 explore convolutional neural networks, ensemble methods, and big data processing techniques applied to environmental monitoring, medical diagnostics, and software quality assurance. She frequently collaborates with researchers across disciplines, particularly with colleagues at her institution on projects involving satellite data analysis and ecological monitoring systems. Professional Activities: Member of the Bukovina Information Technology Cluster named after Joseph Schumpeter (Chernivtsi IT Cluster, Cluster Bit Association) since 2019 Scientific consultant for Limited Liability Company 'KM TRADE: Security Systems' (2019) Teaching: Dr. Talakh teaches courses related to data mining, intelligent data analysis, ensemble architectures, geoinformation systems, and big data technologies. She has authored numerous textbooks and teaching materials in these areas, demonstrating her commitment to both research and education in computational methods.

Tomka Yuriy Yaroslavovychمشاهده پروفایل

دانشیار

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

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

Ushenko Yuriy Oleksandrovychمشاهده پروفایل

استاد

• Information systems design
• Data mining
• Pattern recognition
• +۷ مورد دیگر

Yuriy Ushenko is Professor and Head of the Department of Computer Science at Chernivtsi National University named after Yuriy Fedkovych. An Academician of the Academy of Engineering Sciences of Ukraine (2021), he holds a Doctor of Physical and Mathematical Sciences degree with specialization in optics and laser physics. His interdisciplinary work bridges computer science, biomedical engineering, and optical diagnostics. His educational background includes: Master of Telecommunications from Chernivtsi National University (2003, Diploma with honors) Doctor of Physical and Mathematical Sciences (2015) in specialty 01.04.05 – Optics, Laser Physics Professor title in Computer Science (2017) Professor Ushenko's research focuses on information systems design , data mining , pattern recognition , and digital image processing with specialization in laser polarimetry and interferometry . His work pioneers Mueller-matrix tomography and polarization-correlation microscopy for biomedical applications, developing computational methods to analyze biological tissues and fluids for diagnostic purposes. Key innovations include 3D digital polarization-holographic histology for myocardial damage assessment and intelligent systems for disease identification from medical images. His publication trends reveal a strong emphasis on applying machine learning to biomedical imaging and geospatial analysis, with recent work spanning transformer-based lyrics generation, polarization-singular tissue processing, and migration forecasting systems. The research demonstrates consistent translation of theoretical optics into practical diagnostic tools. Scientific recognition includes: Academician of the Academy of Engineering Sciences of Ukraine (2021) As Director of the Bukovinian Innovation Technologies Cluster (since 2019), he leads regional IT initiatives while serving as Associate Editor for the SCOPUS Q3 journal International Journal of Image, Graphics and Signal Processing . His mentorship has guided students to international awards including ICYS silver medals and EUCYS special prizes. Current projects involve developing automated intelligent systems for LLC 'KM Trade' and advancing Mueller-matrix diagnostic techniques through international collaborations with Springer and SPIE conferences. His laboratory work centers on creating computational frameworks for polarization-correlation microscopy, with active teams developing laser autofluorescence polarimetry techniques and digital image processing pipelines for biomedical diagnostics. The research group maintains strong ties with international partners in optical engineering and medical diagnostics.

• Data Compression and Protection
• Telemetry Systems
• Reconfigurable Information Processing Systems
• +۶ مورد دیگر

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.

• Digital Image Processing
• Artificial Intelligence Systems
• Computer Vision
• +۳ مورد دیگر

Odayska Khrystyna Saveliivna is an Assistant Professor at the Department of Computer Systems and Networks, Chernivtsi National University named after Yu. Fedkovych. She holds a Candidate of Technical Sciences degree with a thesis on "Methods and means of improving the visual quality of images in computerized optoelectronic systems" (2020). Her academic work focuses on digital image processing and artificial intelligence systems. Education: Chernivtsi National University (2013) - Computer Systems and Networks. Her research spans digital image processing techniques, particularly Gaussian noise estimation and removal, with applications in medical imaging and optoelectronic systems. She has contributed to international journals and conferences, including studies on neural networks for X-ray image analysis and bilateral filtration methods for medical imaging. Recent publications include "Software and hardware for determining Gaussian noise level in images" (2022) and "Adaptive oriented filtration of digital images in the spatial domain" (2019). Her work combines theoretical advancements with practical tools like hardware-software complexes for noise estimation and removal.

• Medical Research
• Artificial Intelligence
• Public Health
• +۵ مورد دیگر

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.

Milen Yordanov Petrovمشاهده پروفایل

استاد

• Software Engineering
• Interoperability
• Object-Oriented Programming Languages
• +۲ مورد دیگر

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.

Trifon Anchev Trifonovمشاهده پروفایل

دانشیار

• Computer Science
• Mathematical Logic
• Artificial Intelligence
• +۳ مورد دیگر

Trifon Anchev Trifonov is an Associate Professor in the Department of Computer Informatics at the Faculty of Mathematics and Informatics, Sofia University 'St. Kliment Ohridski'. His academic work focuses on mathematical logic, computational mathematics, and generalized net modeling. Current affiliation: Sofia University Research areas: Proof theory, fuzzy logic, neural networks Email: triffon@fmi.uni-sofia.bg Trifonov's research explores the intersection of mathematical logic and computational systems through Dialectica interpretations and generalized net frameworks. He contributes to formal verification, intuitionistic fuzzy logic, and adaptive neural architectures. His publications demonstrate expertise in algorithmic analysis, proof mining, and computational modeling. Key collaborations include work with K. Atanassov, K. Georgiev, and G. Mengov in generalized net systems and neural signal processing. Trifonov's work spans multiple subfields including: Proof theory and constructive mathematics Intuitionistic fuzzy logic Adaptive resonance neural networks Generalized net modeling Computational complexity Formal verification techniques

• Materials Science
• Mechanical Engineering
• Surface Engineering
• +۳ مورد دیگر

Galya Velikova Duncheva is a Professor at the Department of Materials Science and Mechanics of Materials within the Faculty of Mechanical Engineering and Instrument Making at Technical University of Gabrovo. She specializes in surface engineering, fatigue analysis, and mechanical surface treatments of metals. Her research focuses on enhancing surface integrity and fatigue life of metallic components through diamond burnishing, roller burnishing, and cold working processes. She has extensively studied residual stress analysis, wear resistance, and microstructure modification in aluminum alloys and stainless steels. Her recent publications analyze the effectiveness of diamond burnishing on AISI 304/316 steels and 2024-T3 aluminum alloys, emphasizing correlations between surface integrity, fatigue limits, and corrosion resistance. Trends include multi-objective optimization of surface treatments and sustainable manufacturing techniques. She has led multiple internal research projects at Technical University of Gabrovo, focusing on improving fatigue performance and wear resistance in alloys used for aircraft structures and railway systems. Her work involves experimental testing, finite element modeling, and comparative analysis of stress-inducing methodologies. She has contributed to 136 publications, including monographs and textbooks on computer methods for engineering analysis, surface plastic deformation, and machine elements design.

Kalin Georgiev Nikolovمشاهده پروفایل

دانشیار

• Computer Science
• Artificial Intelligence
• Neural Networks
• +۴ مورد دیگر

Kalin Georgiev Nikolov is an Associate Professor at the Faculty of Mathematics and Informatics, University of Sofia, specializing in computational methods, neural networks, and generalized nets. His work bridges mathematics and computer science through innovative modeling techniques. Fields of Interest: Computer Science, Neural Networks, Generalized Nets, Fuzzy Logic, Computational Mathematics Key Collaborations: Trifon Trifonov, Georgi Mengov, S. Hadjitodorov Recent Research: 2005 publications on neutrosophic sets, adaptive resonance networks, and geometric computing applications

Julia Romanovaمشاهده پروفایل

دانشیار

• Applied computational chemistry
• Theoretical chemistry
• Quantum mechanics
• +۹ مورد دیگر

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.

• Quantum Chemistry
• Molecular Modeling
• Theoretical Chemistry
• +۲ مورد دیگر

Jasmina Nedkova Petkova is a Senior Assistant Professor at the Department of Physical Chemistry , Faculty of Chemistry and Pharmacy , Sofia University, Bulgaria. Her work integrates quantum chemical methods with molecular modeling to study intermolecular interactions and ligand-receptor complexes. Education: PhD in Theoretical Chemistry, Sofia University (2012) MSc in Computational Chemistry, Sofia University (2008) BSc in Chemistry and Informatics, Sofia University (2007) Her research focuses on the theoretical investigation of molecular structures, optical properties, and binding mechanisms using advanced computational techniques. She has contributed to projects involving folate-based drug vectors, polyaniline-water coupling, and confined molecular systems. Recent publications highlight her expertise in molecular dynamics simulations , quantum chemistry , and materials modeling , with applications in pharmaceuticals and nanomaterials. She has participated in international workshops, including the 15th deMon Developers Workshop in Sofia (2015). Projects: Participant, COST Action CA21101 (COSY) (2022-2026) Participant, Drug-Peptide Vectors (National Science Fund of Bulgaria, 2016-2019) Coordinator, Theoretical Investigation of Water Absorption on Polyaniline (University of Sofia, 2019) Contact: Email: fhjp@chem.uni-sofia.bg Phone: +359 2 8161431

Pencho Petrov Mihnevمشاهده پروفایل

مدرس ارشد

• Educational Technology
• e-Learning
• Instructional Design
• +۵ مورد دیگر

Pencho Petrov Mihnev serves as Senior Lecturer at the Department of Information Technologies, Faculty of Mathematics and Informatics, Sofia University 'St. Kliment Ohridski', where he has driven e-learning innovation since 1997 through course development and policy design. His academic foundation includes: MSc in Educational and Training Systems Design, Universiteit Twente, Netherlands (1997) Specialisation in Informatics, Sofia University (1990) MSc in Mathematics, Plovdiv University 'Paisii Hilendarski' (1982) His research synthesizes educational theory with technology implementation, specializing in instructional design frameworks, distance education policy formulation, and ICT integration across Bulgarian higher education and K-12 systems. He prioritizes practical solutions for resource-constrained environments while maintaining international alignment through EU project collaborations. Publications from 1995-2002 reveal consistent focus on Bulgaria's educational technology adoption, featuring policy analysis for Ministry of Education-level distance learning frameworks and cross-national ICT infrastructure assessments. His work emphasizes systemic implementation challenges over theoretical exploration. Mihnev has executed 20+ funded projects as expert, trainer, or developer: EU initiatives: weSPOT (FP7-ICT), KeyToNature, KALEIDOSCOPE Bulgarian HRD Operational Programme projects (2009-2014) World Bank's Education Modernization (1999-2001) These centered on e-learning platform development, curriculum redesign, and educator capacity building. He established Sofia University's Moodle infrastructure for courses like 'Instructional Design for e-Learning' and managed portals for EU projects including KeyToNature's biodiversity training platform.

Boris Bankovمشاهده پروفایل

استادیار

• Web Development
• Gamification in Education
• Software Engineering
• +۷ مورد دیگر

Boris Bankov is a software developer and academic professional currently serving as an Assistant Professor at the Department of Informatics in the University of Economics - Varna. His work combines web development expertise with educational innovation. PhD in Informatics and Computer Science Deputy Director at Center for Electronic and Distance Learning Laureate of John Atanasoff Award (2022) His research interests focus on web development, gamification in education, and the intersection between game design principles and enterprise web applications. He has extensive experience working with technologies including PHP Laravel, MySQL, Bootstrap, and Unity/C# game development. Key publication areas include: Learning Management Systems in higher education, Gamification frameworks for educational environments, Responsive web design solutions, and NFT technology analysis. His work has been published in various academic forums since 2017. John Atanasoff Award of the President of Bulgaria (2022)

Nikolay Petkov Manchevمشاهده پروفایل

مدرس ارشد

• Internet of Things (IoT)
• Wireless Communication Systems
• Radio Coverage Planning
• +۳ مورد دیگر

Nikolay Petkov Manchev is a Senior Lecturer at the Department of Communication Equipment and Technologies, Technical University - Gabrovo . With expertise in wireless communication systems and IoT infrastructure, his research focuses on LoRaWAN network planning, radio coverage optimization, and smart city applications. Developed bicycle counting station (2022) and vending machine control systems (2021) Published extensively on LoRaWAN energy performance, signal propagation, and IoT communication protocols Active in international conferences like IEEE CIEES 2024 and Electronics (ET) 2022