جست‌وجوی استاد و پژوهشگر

• Image processing
• 3D visualization
• Virtual Reality
• +۷ مورد دیگر

Prof. PhD Miroslav Nikolov Galabov is a Professor at the Faculty of Mathematics and Informatics, St. Cyril and St. Methodius University of Veliko Turnovo in Bulgaria. His academic career spans several decades with significant contributions to computer science, particularly in the areas of 3D visualization, virtual and augmented reality, and image processing. He maintains active research collaborations and participates in multiple funded projects at the university. Professor Galabov's research interests focus on cutting-edge technologies including: Image processing and computer vision 3D visualization and modeling Virtual and Augmented Reality systems Microprocessor systems and embedded computing System programming and software architecture Multimedia systems and publishing technologies E-business applications and social network technologies His scholarly output demonstrates a clear evolution from foundational work in digital signal processing and image compression toward contemporary research in cloud infrastructure, semantic web technologies, and digital twin applications. Recent publications show a strong emphasis on practical implementations of AWS infrastructure, microservices architecture, and blockchain solutions for IoT systems. His work consistently bridges theoretical computer science with real-world applications across multiple domains including education, business, and cultural heritage preservation. Professor Galabov actively participates in significant research projects including: "Изследване и анализ на приложението на технологични инструменти и инфраструктура като креативна среда за трансфер на знания" (2025-2025) "Изследване, анализ и популяризиране на мобилни технологии и софтуерни приложения в полза на студенти със специални потребности" (2025-2025) "Изследване възможностите на технологиите за виртуална и добавена реалност за атрактивно представяне и популяризиране на българското фолклорно наследство" (2023-2023) Multiple projects related to 3D visualization, e-learning, and digital infrastructure development

• Artificial intelligence
• Data mining/analytics and knowledge discovery
• Data science
• +۴ مورد دیگر

Professor Simeon Simoff is Dean of the School of Computer, Data & Mathematical Sciences at Western Sydney University , with a career spanning institutions like University of Technology Sydney , University of Sydney , and Middle East Technical University . His work bridges Artificial Intelligence , Data Mining , and Virtual Worlds , focusing on visual analytics and human-computer interaction . Qualifications: PhD, Moscow Power Engineering Institute MScEng, Moscow Power Engineering Institute BScEng, Moscow Power Engineering Institute Research Interests include AI interpretability , data sonification , and immersive environments , as evidenced by projects like Visual Data Mining (Springer, 2008) and FriendZone Smart Living Space (2010-2011). His 15 most recent publications (2014-2021) span genomics visualization , RFID healthcare applications , and 3D virtual agent design . Awards & Leadership: Founding Director of the Institute of Analytics Professionals of Australia Editor of ACS Conferences in Research and Practice in Information Technology (CRPIT) series Associate Editor for ASCE's Journal of Computing in Civil Engineering Projects include Waves of Words (2018-2022, Australian Research Council) and Deep Learning of Complex Genomics Data (2016-2017, Cancer Institute NSW), with collaborations across Sydney Children's Hospital Network and Intersect Consortium .

• Cybersecurity
• Aerospace Engineering
• 3D Modeling
• +۵ مورد دیگر

Dr. Yoana Ivanova is an Associate Professor at the Department of Telecommunications of the New Bulgarian University (NBU), where she has taught since 2016. Her academic career began at the Institute of Information and Communication Technologies of the Bulgarian Academy of Sciences (2014-2018). Education BSc in Engineering Physics , specialization in Communications and Electronics (2000-2004), Faculty of Physics, Sofia University MSc in Communication and Information Systems in Security and Defense (2012-2013), Military Academy "G. S. Rakovski" PhD in Automated Systems for Information Processing and Management (2020), Military Academy "G. S. Rakovski" Research Interests: Focus on cybersecurity for critical infrastructure, 3D modeling for aerospace engineering, microwave technology , and artificial neural networks for steganalysis and digital recognition. Her work bridges digital transformation with security applications in telecommunications and defense. Publications: Authored a 2024 monograph on crystal optimization for telecommunications , 10+ peer-reviewed papers in Web of Science journals (IJITS, MATEC Web of Conferences), and conference proceedings in NATO and defense-related symposia. Key topics include cyberattack simulations , 3D printing for radio devices , and AI-driven security solutions .

• Femtosecond Laser Physics
• Theoretical and Numerical Modeling
• Solid State Physics
• +۵ مورد دیگر

Tzveta Apostolova serves as an Associate Professor in the Department of Telecommunications at New Bulgarian University's Faculty of Telecommunications and Computer Technology. Her academic role encompasses teaching core physics and telecommunications courses while leading theoretical research in laser-matter interactions. Her research spans femtosecond laser physics , solid state physics , and biophysics , with emphasis on theoretical modeling of laser-induced phenomena in semiconductors and dielectrics. Key investigations include nanoplasm generation in atomic clusters, high harmonic generation in diamond, and non-equilibrium electron dynamics under intense irradiation. Her work bridges fundamental quantum kinetics with applications in nanofabrication, plasmonics, and inertial confinement fusion. Analysis of her 15 most recent publications (2000-2018) reveals dominant focus on ultrafast laser-semiconductor interactions , quantum kinetic modeling , and nonlinear optical phenomena . Recurring subfields include femtosecond pulse dynamics, electron-hole pair excitation, and high-harmonic generation in wide-bandgap materials, demonstrating consistent specialization in laser-driven solid-state processes. Her teaching portfolio includes foundational courses such as Physics for Telecommunications , Fiber-Optic Communication Systems , and AI Systems , alongside advanced mathematics and optimization modules. Institutional involvement includes leadership in the DNTP/France 01/9/09.05.2017 project on nanoplasm generation and participation in COST Action MP1208 for inertial confinement fusion research.

Olar Oleksandr Valeriyuvychمشاهده پروفایل

استادیار

• Computer Science
• Web Development
• Machine Learning
• +۳ مورد دیگر

Olar Oleksandr Valeriyuvych serves as an Assistant Professor in the Department of Computer Science at Yuriy Fedkovych Chernivtsi National University, holding a Candidate of Physical and Mathematical Sciences degree with expertise spanning computer science and optics. His interdisciplinary work bridges web development, machine learning, and biomedical imaging applications. Education: Graduated from Yuriy Fedkovych Chernivtsi National University (2015) with a degree in Laser and Optoelectronic Engineering (Research Engineer) Awarded Candidate of Physical and Mathematical Sciences (2019) for dissertation on 'Differential Muller-matrix diagnostics of polycrystalline structure of biological layers' (Specialty 01.04.05 – Optics, laser physics) His research integrates computational techniques across two primary domains: computer science (web development frameworks, machine learning algorithms, distributed systems) and optics (Mueller-matrix polarimetry, biomedical tissue analysis, forensic diagnostics). Recent publications demonstrate strong interdisciplinary collaboration, particularly in developing web applications for health monitoring systems and computational methods for optical field analysis. Analysis of his 15 most recent publications reveals evolving focus from pure optics research (2018-2020) toward computer science applications (2021-2024), with increasing emphasis on machine learning implementations and full-stack development. Key trends include convolutional neural networks for image recognition, distributed computing solutions for optical simulations, and practical web frameworks for real-world applications like pandemic monitoring and e-commerce systems. Professional Activities: Member of Bukovina Information Technology Cluster (Chernivtsi IT Cluster) since 2021 (Certificate CB No. 102021) Practitioner for 'New Side Solutions' company Author of multiple textbooks including 'Applied Programming: From Theory to Practice' (2021) and 'Modern Web Development Technologies: Frontend Development' (2022) He maintains active professional development through numerous certifications including Google Project Management specialization and advanced React/Node.js training, while teaching JavaScript technologies courses. Information regarding specific student advising and grant funding details is not provided in available sources.

• Theology
• Byzantine Studies
• Quantum Mechanics
• +۲ مورد دیگر

Prof. Ivan Christov, PhD, is a faculty member at the Faculty of Theology , University of Sofia , affiliated with the Department of Systematic Theology . His research spans both quantum physics and theology , focusing on topics like entanglement in quantum systems and the reception of Byzantine philosophical texts. Research Interests Quantum Mechanics and Nonlinear Optics Computational Physics (Monte Carlo Methods) Byzantine Theology and Philosophy Historical Manuscript Studies Selected Publications His recent work includes studies on entanglement islands in quantum lattices (2025) and analysis of 10th-century Preslav translations (2024), illustrating his interdisciplinary expertise. Contact Email: ichri@theo.uni-sofia.bg

Laxima Niure Kandelمشاهده پروفایل

استادیار

• Wireless Security
• Wireless Sensing and Localization
• UAV Detection
• +۴ مورد دیگر

Dr. Laxima Niure Kandel is an Assistant Professor in the Department of Computer, Electrical, and Software Engineering at Embry–Riddle Aeronautical University. Her research spans wireless security, UAV detection, and cybersecurity, with a strong focus on AI-driven solutions for aviation and IoT systems. Her core research interests include: Wireless sensing and localization Machine learning applications in cybersecurity GPS spoofing detection for aviation RF fingerprinting for device authentication Adversarial resilience in deep learning models Recent publications (2025) demonstrate a dominant focus on transformer-based security models, UAV protection systems, and explainable AI. Over 80% of her latest work involves deep learning techniques applied to real-world threats like GPS spoofing, ADS-B attacks, and adversarial patches in autonomous vehicles.

Boyan Jekovمشاهده پروفایل

استادیار

• Cybersecurity
• Artificial Intelligence
• Internet of Things
• +۴ مورد دیگر

Boyan Jekov is an Assistant Professor at the University of Library Studies and Information Technologies in Sofia, Bulgaria, where he is affiliated with the Faculty of Information Science. He is a member of Elena Shoikova's Lab and has established himself as a researcher with expertise in cybersecurity, artificial intelligence, Internet of Things, and quantum computing applications. His research interests span several critical technology domains: Cybersecurity and Security Operations Centers Artificial Intelligence applications for threat detection and response Internet of Things security frameworks Quantum communication and computing applications Data science and big data analytics Technology applications in education Professor Jekov's research output demonstrates a focus on cutting-edge security challenges, with recent publications through 2025 on autonomous AI architectures for Security Operations Centers and quantum computing applications for environmental issues. His work bridges theoretical computer science with practical applications across multiple domains including security infrastructure, healthcare, and educational technology. His publications show a consistent trajectory toward increasingly complex and interdisciplinary research problems. His scholarly contributions include 35 publications with 9,239 reads and 82 citations, reflecting steady research productivity over approximately a decade of academic work. His recent publications show increasing engagement with emerging technologies and interdisciplinary applications, particularly at the intersection of AI, cybersecurity, and quantum computing. Professor Jekov's research methodology appears to emphasize practical applications of advanced computing techniques to solve real-world problems, particularly in security domains and educational technology. His work often involves collaborative research with colleagues across different departments and institutions, demonstrating a team-oriented approach to complex technological challenges.

• Automated Design in Electronics
• Circuit Simulation
• Parameter Extraction for Electronic Components
• +۳ مورد دیگر

Prof. Elisaveta Gadjeva is a full Professor in the Department of Informatics at Technical University of Sofia's Faculty of Electronic Engineering and Technologies. With over 30 years of experience in developing CAD systems for electronics, she holds additional affiliations as a lecturer at New Bulgarian University and Tampere University of Technology (Finland), and is an IEEE member. Her research expertise spans: Automated electronic design Circuit simulation (discrete/analog systems) Parameter extraction for components Automated diagnostic systems for fault detection She utilizes tools including OrCAD PSpice, MATLAB, and LTSpice in her work. Analysis of her 15 most recent publications (2001-2007) reveals strong focus on: SPICE-based modeling techniques RF circuit optimization Noise analysis in amplifiers Geometric parameter optimization Analog circuit diagnostics Her teaching portfolio includes core courses in electronic design and simulation at both undergraduate and graduate levels across multiple institutions.

• Computer-Aided Design
• Digital Visualizations
• Impasto Painting
• +۴ مورد دیگر

Rumen Kozhuharov is an Assistant Professor at New Bulgarian University's Department of Arts and Design, where he has held roles including Chief Assistant (since 2021/22), Guest Lecturer, and Honorary Lecturer. His academic journey includes dual Bachelor's degrees (Interior Design and Painting), dual Master's degrees (Spatial Design and Painting), and a PhD in Fine Arts focused on material environments. His research bridges traditional and digital art, with emphasis on: Digital Tools : Advanced applications of Photoshop, Illustrator, and 3D modeling in design AI Integration : Ethical and practical challenges in generative art Painting Innovation : Impasto techniques and texture experimentation Exhibition Design : Curatorial strategies for public and gallery spaces Publications (2019-2025) demonstrate strong trends in digital art evolution and AI disruption, particularly examining: Midjourney's impact on design workflows Hybrid physical-digital art methodologies Cultural reinterpretation through technology Awards highlight multidisciplinary excellence: NBU Rector's 'Best Student' (2014) CERN/CHEP 2018 design competition winner Allianz Bulgaria National Painting nomination Early-career web/art competition prizes He leads intensive ERUA painting workshops, advises institutional design projects (e.g., school museum installations), and maintains active exhibition curation—including international shows like 'FINE ARTS & ERUA'.

Доброслав Данайлов Данковمشاهده پروفایل

استاد

• Power Electronics
• Induction Heating Systems
• Electric Vehicle Technology
• +۵ مورد دیگر

Доброслав Данайлов Данков е професор и ръководител на катедра в Технически университет - Габрово, Факултет по Електротехника и Електроника, Катедра Електроника. Той работи в университета от поне 1994 г. и е активен изследовател с над 100 публикации и 20 завършени проекта. Катедрата му се намира в кабинети 2305 и 2315, а контактните му данни включват телефон (066 827)+305,340 и имейли dankov@tugab.bg и dankov@abv.bg. Основните области на научен интерес на проф. Данков включват силова електроника, индукционни системи за нагряване, технологии за електромобили, широколентови полупроводникови елементи (SiC, GaN), безжичен трансфер на енергия и надеждност на електронни системи. Неговите изследвания са фокусирани върху подобряване на ефективността, надеждността и енергийната ефективност на преобразувателни устройства и системи. Той е автор на 9 учебника и учебни помагала, включващи 'Автомобилни електронни системи и диагностика' (2022) и 'Електронно-технологични и индустриални преобразователни устройства и системи' (2021). Анализът на неговите 15 най-нови статии показва ясна тенденция към приложението на нови полупроводникови технологии (GaN и SiC транзистори) в различни електронни системи, специално в индукционни нагреватели и системи за безжичен трансфер на енергия. Има съществен фокус върху надеждността на електронните компоненти и системи, както и върху приложението на тези технологии в електромобилите. Данков активно изследва методи за подобряване на точността при оценка на състоянието на заряда (SOC) и състоянието на здравето (SOH) на батериите за електромобили. Проф. Данков е ръководил четирима докторанта, двама от които са завършили успешно. Той е работил по 20 проекта през периода 1994-2022 г., включващи както вътрешни изследователски проекти в ТУ-Габрово, така и проекти с външно финансиране чрез Националния научен фонд и Оперативната програма 'Наука и образование за интелигентен растеж'. През 2021-2022 г. той е участвал в проекти за разработка на електромобил и модернизация на висшите училища. Той преподава дисциплината 'Автоматизация на проектирането в електрониката' и е написал рецензия за дипломна работа на инж. Камелия Цонева Колева. Данков активно участва в международни конференции като UNITECH и IEEE CIEES, където представя новите си изследвания в областта на силовата електроника и индустриалните преобразувателни системи.

• Mixed Reality
• Computer Simulations
• Visualization
• +۳ مورد دیگر

Assoc. Prof. Dr. Ivan Dragov Trenchev serves as an Associate Professor in the Department of Information Systems and Technologies at UniBIT, based in room 308 of UniBIT 2 with contact email i.trenchev@unibit.bg. His research spans Mixed Reality systems, Computer Simulations, Visualization techniques, Electronic Voting security, Cryptography, and Algorithm design—directly reflected in the doctoral theses he supervises that address mixed reality visualizations and vote authentication mechanisms. Current doctoral supervision includes: Alexander Georgiev Girkinin: "Computer simulations and visualizations in a mixed reality system" (co-supervised with Assoc. Prof. Dr. Zhivko A. Velkov, ASOIU doctoral program) Alexander Chobanov: "Methods and algorithms for guaranteeing the authenticity of votes in machine and electronic voting" (ISTICN doctoral program)

• Computer Simulations
• Mixed Reality Systems
• Visualization Technologies
• +۱ مورد دیگر

Assoc. Prof. Dr. Zhivko A. Velkov serves as a Scientific Supervisor in the doctoral program at ASOIU. His academic position as Associate Professor indicates substantial experience in higher education and research supervision. His research interests focus on computational technologies, specifically: Computer Simulations Mixed Reality Systems Visualization Technologies Computer Science applications Assoc. Prof. Velkov supervises doctoral candidates including Alexander Georgiev Girkinin, whose work involves computer simulations and visualizations in mixed reality systems. His research direction suggests strong technical expertise in emerging computational environments and visualization methodologies. As an active Associate Professor, he contributes to academic training at ASOIU through doctoral supervision and likely undergraduate/graduate teaching, though specific course information isn't available in the provided text.

• Statistics
• Probability Theory
• Statistical Applications
• +۴ مورد دیگر

Dimitar Atanasov, PhD, serves as an Associate Professor in the Department of Informatics at New Bulgarian University (NBU), where he has taught since 2009 across multiple programs including Network Technologies, Informatics, Psychology, and Telecommunications. His academic foundation includes a PhD in Probability Theory and Mathematical Statistics (2007). His research spans Statistics, Probability Theory, and their applications in educational measurement, cognitive diagnosis, and stochastic modeling. Key focus areas include robust statistical estimation, branching processes, test equating, and psychometric modeling for educational assessment. He has developed original teaching materials for courses in statistics, probability, data warehousing, and game theory. At NBU, he teaches core courses including Probability Theory and Statistics, Applied Statistics, and specialized topics like Image Classification and Data Theory. His work demonstrates strong interdisciplinary connections between statistical methodology and practical applications in education, linguistics, epidemiology, and computer security. He actively contributes to the academic community as a member of the editorial board of Mathematics and Informatics journal and participates in the Bulgarian Statistical Society and Bulgarian Society for Research and Evaluation in Education. Professor Atanasov has collaborated on national and international projects, particularly in educational assessment systems. His technical expertise includes MATLAB programming for statistical simulation and algorithm development, with applications in test scoring, equating, and automated test assembly systems developed for institutions like Saudi Arabia's National Center for Assessment.

• Algorithms
• Regression Analysis
• Machine Learning
• +۳ مورد دیگر

Slav Angelov is a Senior Lecturer in the Department of Informatics at New Bulgarian University (NBU), serving since September 2017. He teaches core courses including Applied Mathematics for Economists, Quantitative Methods in Management, Probability and Statistics, and Knowledge Extraction from Data, while contributing to NBU's joint program with the University of Sheffield. His academic credentials include: Master's degree with honors in Optimization from Sofia University "St. Kliment Ohridski" (2014) PhD in Computer Science and Informatics from NBU (2019), dissertation: "Computer Simulation and Assessment of Corporate Risks" Dr. Angelov's research focuses on statistical modeling and algorithmic development, with expertise in regression analysis (particularly multicollinearity solutions and cross-validation techniques), machine learning applications, and knowledge extraction systems. His work bridges theoretical statistics with practical implementations in energy forecasting and bioinformatics. His publication record reveals a consistent research trajectory centered on advancing regression methodologies across diverse domains. Key contributions include modified regression techniques for risk assessment and educational frameworks for data mining pedagogy, demonstrating dual expertise in methodological innovation and curriculum development. He has been an integral member of NBU's Center for Risk Management, leading analytical work on critical national infrastructure projects including the Belene Nuclear Power Plant, Balkan gas hub development, and long-term electricity consumption forecasting for Bulgaria through 2030.