جستجوی استاد راهنمای دانشگاهی

Edgar Vadimovich Vatamanitsaمشاهده پروفایل

استادیار

• Client-server programming
• Java and Android pattern development
• Application information systems
• +۶ مورد دیگر

Edgar Vadimovich Vatamanitsa serves as an Assistant Professor in the Department of Computer Science at Chernivtsi National University, specializing in cross-platform software development and cloud computing applications. His work bridges academic research with industry practice through active engagement in both university teaching and commercial software development. Education: Yuriy Fedkovych Chernivtsi National University (2013): Systems Software, Software Engineer Dr. Vatamanitsa's research centers on Java/Android pattern development, client-server architectures, and distributed systems. He pioneers practical implementations of design patterns in cloud environments, with significant contributions to optical field simulation, semiconductor modeling, and intelligent transportation systems. His methodology emphasizes cross-platform efficiency and real-world applicability of theoretical computing concepts. Analysis of his 2022-2024 publications reveals dominant themes in cloud-based optical computation (AWS infrastructure), Java pattern implementation for Android, and cross-platform solutions for traffic management and semiconductor physics. His work consistently integrates distributed systems with domain-specific challenges in optics, printing technology, and educational analytics, demonstrating exceptional versatility across engineering disciplines. Professional Activities: Member of Bukovina Information Technology Cluster (since 2022) Senior Software Developer at EPAM SYSTEMS Certificate in Cross-platform Programming and Information Security (Ternopil National Technical University, 2023) Tech Summer Bootcamp for Teachers participant (2023)

• Corporate Finance
• Capital Markets
• Risk Management
• +۲ مورد دیگر

Krasimir Kostenarov serves as an Assistant Professor in the Department of Finance at New Bulgarian University (NBU), holding a PhD in Economics with specialization in Finance, Money Circulation, Credit and Insurance. He teaches core finance courses including Financial Calculations in MS Excel, Risk Analysis, and Financial Modeling with MS Excel. His academic background includes: Higher education in Finance PhD in Economics (professional field) specializing in Finance, Money Circulation, Credit and Insurance Dr. Kostenarov's research focuses on corporate finance, capital markets, and risk management in emerging economies, particularly Bulgaria. He develops computational models for risk assessment using asymmetric deviations and mean absolute deviation in CAPM frameworks, and investigates operational risk in non-financial enterprises through loss allocation methods. His work bridges theoretical finance with practical applications in transitional markets. Publication analysis from 2008-2020 reveals consistent emphasis on Bulgarian capital market dynamics, with specialized contributions to downside risk modeling (D-CAPM), European integration impacts on cost of equity, and enterprise resource planning effectiveness. His research demonstrates methodological innovation in adapting traditional financial models to emerging market conditions. No scientific awards were documented in the source materials. Teaching responsibilities include Financial Calculations in MS Excel (BAFB537), Practice (BAFB563), Seminar: Processing and Visualizing Economic Data (BAFB566), Internship (BAFB769), and Risk Analysis (BAFB801). Office hours are held Thursdays 15:00-17:00 and Fridays 11:00-13:00 in room 708 of Building II.

Valentina Volodymyrivna Dvorakمشاهده پروفایل

استادیار

• Computer Vision
• Deep Learning
• IT Project Management
• +۳ مورد دیگر

Valentina Volodymyrivna Dvorak serves as an Assistant Professor in the Department of Computer Science at Chernivtsi National University. Her professional activities span across computer vision, deep learning, IT project management, and business analysis, with significant contributions to both academic research and practical applications in these fields. Dr. Dvorak holds a Candidate of Technical Sciences degree with specialization in Pressure Processing Processes and Machines. Her educational background includes a Master's in Metallurgical Equipment (2004) and a degree in Organizational Management (2010) from Donbass State Machine-Building Academy. This unique combination of metallurgical engineering and computer science expertise informs her interdisciplinary research approach. Her research interests prominently feature Computer Vision and Deep Learning applications across diverse domains including medical diagnostics, satellite imagery analysis, and industrial process optimization. Dr. Dvorak has made significant contributions to convolutional neural network implementations, automated recognition systems, and polarization-correlation microscopy techniques for biomedical applications. Her work bridges theoretical computer science with practical implementations in healthcare, manufacturing, and environmental monitoring. Analyzing her publication record reveals a strong focus on practical applications of deep learning, with particular emphasis on computer vision systems for medical diagnostics, industrial quality control, and environmental monitoring. Her research demonstrates consistent progression from fundamental metallurgical process optimization to advanced AI applications. Certificate of acknowledgment as scientific supervisor for BLACK SEA SCIENCE 2022 Educational Grant from SoftServe for developing training course (2021) Dr. Dvorak actively contributes to IT education through multiple textbooks including 'Deep Learning for Computer Vision,' 'IT Project Management,' and 'Intelligent Data Analysis.' Her professional development includes numerous certifications from Sigma Software University and SoftServe, reflecting her commitment to staying current with industry practices. She serves as a member of the Bukovina Information Technology Cluster and provides scientific consulting for SKB 'Electronmash KM.'

Zvezditsa Petrova Nenovaمشاهده پروفایل

استاد

• Sensor Systems
• Environmental Monitoring
• Humidity Sensing
• +۶ مورد دیگر

Zvezditsa Petrova Nenova is a distinguished faculty member at the Technical University of Gabrovo, Bulgaria, where she serves in the Department of Fundamentals of Electricity and Electrical Engineering. With a career spanning nearly four decades, she has established herself as a leading expert in sensor systems, environmental monitoring, and measurement technologies. Her extensive research portfolio includes 15 books, 139 scientific publications, and leadership in 33 research projects, demonstrating her significant contributions to engineering education and research. Dr. Nenova's research focuses on the development and application of advanced sensor systems for environmental monitoring, with particular expertise in humidity sensing elements, thin-film technologies, and measurement systems. Her work bridges materials science, electrical engineering, and environmental applications, resulting in numerous innovations in sensor design and implementation. She has pioneered research in doped oxide films, graphene-based sensors, and piezoelectric measurement systems, contributing significantly to the field of environmental monitoring technology. Analysis of her recent publications reveals a consistent focus on improving humidity sensing technologies through advanced materials science. Her work increasingly incorporates nanotechnology approaches, particularly with graphene and doped metal oxides, while maintaining practical applications for environmental monitoring systems. The research shows a progression from fundamental material characterization to sophisticated sensor system integration, demonstrating both theoretical depth and practical implementation. Dr. Nenova has successfully supervised three PhD students to completion, guiding research in air environment monitoring systems and advanced sensor technologies. Her extensive project portfolio includes both national and international collaborations, with significant participation in EU-funded programs including Erasmus+ and Leonardo da Vinci initiatives focused on vocational education and industrial automation.

• Electronics
• Control Systems
• Electric Vehicles
• +۶ مورد دیگر

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.

Иван Симеонов Симеоновمشاهده پروفایل

دانشیار

• Computer Systems Design
• Ultrasonic Technology
• Image Processing
• +۳ مورد دیگر

Иван Симеонов Симеонов is an Associate Professor at Technical University Gabrovo specializing in Computer Systems and Networks. He holds a PhD in Computer Science (2006) and has extensive experience in ultrasonic sensor technology, embedded systems, and automated manufacturing. His career spans roles from researcher to academic leadership in technical fields. Key research focuses include non-contact ultrasonic material analysis, sensor design, and computer-aided engineering solutions. Education: Graduated from VMÉI (Gabrovo) in Electronic Technology, earned PhD in 2006 with thesis on computerized measurement systems. Fluent in English, German, and Russian with strong technical communication skills. Research interests emphasize interdisciplinary applications of computer systems in engineering contexts. His work bridges hardware design (e.g., programmable logic circuits) with software solutions (image processing algorithms). Notable projects include intelligent ultrasonic sensors for industrial automation and non-destructive material testing systems. Publications span 11 peer-reviewed articles and 68 conference presentations, focusing on ultrasonic technologies and embedded systems. Active member of ACM, Bulgarian Union of Automation and Informatics, and academic computer systems communities. Led over 15 research projects funded by national and EU programs, including EU's Erasmus initiatives for education innovation in computing.

• Metrology
• Electromagnetic Field Measurement
• Power Quality
• +۴ مورد دیگر

Prof. Plamen Tsvetkov is a faculty member at New Bulgarian University (NBU) in the Department of Telecommunications since 2013. He previously held roles at Technical University of Sofia (1986–2019), including Head of the Department of Electrical Metrology (2004–2019). His academic career spans over 35 years in teaching and research. Education : PhD in Electrical Metrology from Technical University of Sofia (1998), specializing in robust structures for measurement systems. Research Interests : Metrology and calibration of measurement devices Power quality and electromagnetic field analysis Design of information-measurement systems Robust structures for measurement accuracy Applications in telecommunications and computer technology Recent Work Trends : His 15 most recent publications focus on power quality calibration methods, 4G/5G network protocols, and advanced signal processing techniques. Collaborations with international researchers emphasize standards like BDS EN 50160 and tools such as LabVIEW and MATLAB. Scientific Awards : Silver Medal, Technical University of Sofia Grants and Projects : Led 8 international projects and participated in over 30, including EU-funded initiatives on measurement standards and power quality. He also contributed to educational reforms in electrical engineering curricula. Publications and Leadership : Authored over 20 books and 130+ publications, with 15+ indexed in Scopus/Web of Science. Active in symposiums like International Symposium Metrology and Metrology Assurance as committee member.

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.

• Computer Measurement and Control Systems
• Automation of Experimental Research
• Artificial Intelligence
• +۷ مورد دیگر

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.

• 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.

• Speech Therapy
• Autism Spectrum Disorders
• Childhood Behavioral Disorders
• +۵ مورد دیگر

Associate Professor Margarita Stankova is a faculty member in the Department of Healthcare and Social Work at New Bulgarian University's Faculty of Public Health. She holds dual expertise as a medical doctor (Sofia Medical University, 1997) and specialist in Communication Disorders (NBU, 2000), with additional qualifications in Psychiatry (2007). Her academic profile spans teaching 15+ specialized courses including Autism Spectrum Disorders , Fluency Disorders , and Clinical Psychology of Developmental Disorders . Education: Medicine, Sofia Medical University (1991-1997) Master's in Communication Disorders, New Bulgarian University (1997-2000) MD in Medicine (2006) Psychiatry Specialization (2007) Her research focuses on evidence-based interventions for communication disorders, particularly autism spectrum conditions and childhood behavioral/emotional disorders. Current work emphasizes digital therapeutic approaches including serious games and telepractice, with recent studies examining screen time impacts on ASD communication development and parent-mediated interventions. Her methodology integrates temperament profiling with neurocognitive assessment to develop individualized therapy protocols. Over the past decade, her publication trends reveal increasing specialization in ASD interventions (65% of recent work), digital health applications (25%), and cross-cultural assessment tools (10%). Key contributions include validating the Bulgarian FOCUS assessment and developing parent-administered digital screening tools. Research Leadership: Led 12+ EU-funded projects including "Early Intervention Program for Language Abilities" (Research Council of Norway) Principal investigator for "Integration of Children with Communication Disorders" (ESF) Coordinator of "Special Abilities and Talents" Erasmus intensive program Her clinical projects have established communication rehabilitation frameworks implemented across Bulgaria's day centers and specialized schools. Current work focuses on adapting evidence-based practices for post-pandemic therapeutic environments, with emphasis on parental support systems and digital integration. Laboratory & Field Work: Directs NBU's Communication Disorders Research Group conducting longitudinal studies on temperament profiles in developmental disorders. Field partnerships include specialized schools in Sofia, Stara Zagora, and Sandanski where therapeutic protocols are implemented and evaluated.

Ivashko Viktor Viktorovychمشاهده پروفایل

استادیار

• Computational Physics
• Solid State Physics
• Statistical Mechanics
• +۳ مورد دیگر

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.

• Information Security
• Cryptography
• Computer Networks
• +۳ مورد دیگر

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.

Yuri Tsanovskiمشاهده پروفایل

دانشیار

• Engineering Geodesy
• Cadastre
• Hydrography
• +۳ مورد دیگر

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.

• Hydraulic Systems
• Renewable Energy
• Turbines
• +۳ مورد دیگر

Nikolay Stefanov Stefanov is a Senior Lecturer (Senior Assistant) at the Technical University of Gabrovo, affiliated with the Faculty of Mechanical Engineering and Instrument Making and the Department of Energy Technology. He holds a Doctorate in Technical Sciences and specializes in energy technology research, including hydraulic systems, renewable energy applications, turbines, and heat exchangers. His research focuses on: Optimization of hydraulic and pneumatic systems Renewable energy utilization from low-pressure water flows Design and testing of axial and propeller turbines Thermal dynamics in heat exchangers Reliability engineering for fluid-carrying components He has led five university research projects (2008–2012) investigating heat exchanger optimization, turbine performance, and renewable energy systems. His publications predominantly analyze experimental methodologies, dynamic modeling, and efficiency improvements in mechanical energy systems, with recent work advancing diagnostic techniques for hydraulic machinery.