جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Data Science
• Information Systems
• +۳ مورد دیگر

Dr. Aldeniz Enverov Rashidov is an Associate Professor at the Technical University of Gabrovo , affiliated with the Faculty of Electrical Engineering and Electronics and the Department of Automation, Information and Control Systems . With a Ph.D. in Industrial Information Systems (2006), he has led the Information Support Sector since 2005 and directed the Center for E-Learning and Distance Education since 2012. Education: M.Sc. in Systems and Management (1996), Ph.D. in Industrial Information Systems (2006) Research interests: AI applications in education, intelligent databases, e-voting systems, web-based information architectures, and industrial cybersecurity His recent 15 publications focus on AI-driven manuscript review algorithms, e-voting security frameworks, and ChatGPT-assisted research methodologies. Notable achievements include IEEE Senior Membership (2024) and developing the UMIS 1.0 university management system. Scientific Awards Senior Member, IEEE Computer Society (2024) Senior Member, IEEE Robotics & Automation Society (2024) He has led 9 internal TU-Gabrovo projects on AI applications and contributed to international collaborations like MechMate (2016-2017). His work emphasizes system intelligence evaluation methodologies and hybrid data structuring models.

Lisovenko Iryna Dmytrivnaمشاهده پروفایل

استادیار

• Parallel and Distributed Computing
• GPU Computing
• Automatic Program Parallelization
• +۳ مورد دیگر

Lisovenko Iryna Dmytrivna serves as Assistant Professor in the Department of Computer Systems and Networks at Yuriy Fedkovych Chernivtsi National University since 2002, following her 2000 diploma in Computer Systems and Networks from the same institution. Her professional trajectory includes software engineering at a municipal medical institution (2000–2002) and ongoing contractual collaboration with Elogic Commerce since 2018. Her academic credentials include: Yuriy Fedkovych Chernivtsi State University, Faculty of Physics, Department of Computer Science, specialty "Computer Systems and Networks" (2000) Dr. Lisovenko's research centers on parallel and distributed computing, emphasizing automatic parallelization techniques, GPU-accelerated non-graphical computing, and structural analysis of program intermediate representations. She concurrently investigates specialized computer systems for data stream processing and develops methodologies for enterprise accounting automation, bridging theoretical computer science with business process optimization. Her scholarly output demonstrates sustained innovation in high-performance computing architectures. Analysis of her 15 most recent publications (2012–2021) reveals three dominant research thrusts: GPU-based parallelization (40% of works, including Kalyna encryption and bitonic sorting implementations), algorithmic optimization for diverse hardware (33%, covering sorting networks and structural matrices), and applied systems for real-world problems (27%, spanning smart home control, social media analysis, and enterprise automation). This evolution reflects increasing focus on practical GPU applications while maintaining core expertise in parallel algorithm design. She actively contributes to academic development through teaching Parallel and Distributed Computing, Economic and Legal Aspects of Enterprise Automation, and DevOps/DevNet courses, while authoring 12+ methodological manuals including "Parallel and Distributed Computing: Laboratory Workshop" (2022) and "System Administration of Linux OS" (2021). Her professional development includes certifications in Constitutional Law, Finance and Investment, DevNet Associate, and All Digital Week initiatives (2020–2021).

• ICT in education
• e-learning
• educational technology
• +۵ مورد دیگر

Prof. Rumyana Peycheva-Forsyth, PhD is Professor of Education at Sofia University “St. Kliment Ohridski”, Faculty of Education, Department of Didactics, and serves as Head of the Educational Technology Center . She also coordinates the university’s Master’s programme in ICT in Education and teaches across doctoral, master’s and bachelor’s levels. Education & Program Leadership Leads the Master’s programme ICT in Education Teaches Theory and Methodology of e-Learning , Pedagogical Design of e-Learning , History of Computers in Education , and ICT in Research for doctoral students Contributes ICT-related courses to MA programmes in Educational Management , Contemporary Educational Technologies , and Pedagogy of Deviant Behaviour Research & Innovation Her research centres on the integration of digital technologies into teaching, learning and assessment, with particular emphasis on inclusive practices, academic integrity, and scalable e-assessment solutions. She has led or co-led several large European projects, most notably TeSLA (Horizon 2020) on adaptive trust-based e-assessment, and projects under ERASMUS+ and EU Structural Funds that developed virtual practicum environments, Web 2.0 collaborative scenarios, and university-wide e-learning capacity building. Recent scholarly output explores the impact of authentication and authorship-checking systems on student trust and academic integrity culture, attitudes of students with special educational needs towards online assessment, and factors influencing faculty adoption of ICT for inclusive education. Doctoral Supervision & Mentoring Ekaterina Popandonova – ICT for second-language acquisition among minorities Blagovesna Yovkova – Interactive multimedia for hearing-impaired children Anelia Kremenska – Web-based foreign-language training models Vera Pangalova – E-learning for reintegration of at-risk vocational students Maria Stoycheva – Collaborative distance learning for foreign-language communities Stoyan Suev – Web 2.0 technologies in project-based learning Contact r.peytcheva@fp.uni-sofia.bg Phone: +359 2 846 40 85 (office) Fax: +359 2 946 02 55

• Natural Language Processing
• Artificial Intelligence
• Computational Linguistics
• +۶ مورد دیگر

Dimitar Dimitrov is an Assistant Professor at the Faculty of Theology , Sofia University, specializing in Bible Studies . His research bridges computational linguistics and theological analysis. Email: dimityr.dimitrov@theo.uni-sofia.bg Office: Room 7 Research Interests: He focuses on Natural Language Processing , Multimodal Learning , and Disinformation Detection , developing frameworks for analyzing narratives, persuasion techniques, and harmful content in news and social media. His work spans Artificial Intelligence , Computational Linguistics , and Digital Humanities . Recent Projects: Key contributions include the FRaN-X narrative exploration tool, the PolyNarrative dataset, and multimodal frameworks for meme analysis ( MOMENTA ). His work appears in top-tier venues like SemEval and ImageCLEF.

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.

• E-learning
• Programming Languages
• Project Management in Software Development
• +۲ مورد دیگر

Hristina Kostadinova is an Assistant Professor in the Department of Informatics at New Bulgarian University. She previously held positions as a Chief Assistant at NBU (2016-present) and Honorary Assistant roles at both NBU and American University in Bulgaria (2013-2015). Her educational background includes a PhD, Master's, and Bachelor's degree in Informatics from South-West University 'Neofit Rilski'. Her research focuses on three primary domains: E-learning systems : Development of adaptive courses, gamified training, and automated assessment tools Programming education : Innovative teaching methods for Java and other languages Educational technology : Implementation of Moodle-based solutions and conceptual mapping techniques Recent publications demonstrate strong emphasis on automated test generation, adaptive learning frameworks, and gamification in programming education for diverse audiences including children and vocational students. Her work consistently integrates pedagogical theories with technical implementations. No scientific awards are mentioned in available documentation. Current courses taught include Java programming and related technical subjects. No information is available regarding research grants, student advising, or laboratory affiliations.

• Educational Technology
• Computer-Assisted Language Learning
• Robotics in Education
• +۲ مورد دیگر

Daniela Tuparova serves as a Professor in the Department of Foreign Languages and Cultures at New Bulgarian University (NBU), actively contributing to the Bachelor's program in Elementary School Pedagogy and Foreign Language taught in Bulgarian and a foreign language. Her research centers on technology integration in language education, with primary focus areas including Educational Technology , Computer-Assisted Language Learning , and Robotics Applications in Elementary Education . She develops innovative pedagogical approaches through courses like Computer Modelling and Robotics (EDUB605) and Educational Computer Games (EDUB801), emphasizing practical digital tool implementation for future educators. Professor Tuparova's work bridges foreign language pedagogy with emerging technologies, positioning her at the forefront of modernizing teacher training curricula at NBU. Her departmental affiliation within the university's language and culture studies framework directs her research toward culturally responsive digital learning environments.

• Mathematics Education
• Educational Technologies
• Computer Algebra Systems
• +۳ مورد دیگر

PENKA IVANOVA IVANOVA is a Lecturer at the Technical University - Gabrovo working in the Department of Language and specialized training. She has maintained an active academic career at the institution since at least 2017. Her research focuses on Mathematics Education with specialization in teaching methodologies for engineering students. Dr. Ivanova has developed expertise in applying computer algebra systems like Wolfram Mathematica and Maple to enhance understanding of complex mathematical concepts. Her work spans calculus instruction, particularly the Mean Value Theorems and extremum problems, as well as broader educational technology applications including web accessibility and discrete structures. Dr. Ivanova's publication pattern shows consistent development from foundational work on multiple solution approaches (2018) to specialized computational teaching methods (2019-2022), culminating in comprehensive nonlinear teaching frameworks for core calculus concepts (2024). A recurring theme throughout her research is the practical application of mathematical methods for engineering education. She has participated in six significant research projects at TU Gabrovo: Modern engineering solutions for environmental management and protection (Stages I-III, 2022-2024) Multidimensional pyramidal and simplicial finite elements (2021) Innovative educational technologies, discrete structures and web-accessibility (2019) Modern educational technologies, cultural heritage and WEB accessibility (2018) Working as a participant in teams of 12-17 researchers, she has contributed to the university's research initiatives while maintaining her teaching responsibilities. Her involvement in the CompMath Competition highlights her commitment to promoting computational problem-solving approaches in mathematics education, bridging theoretical concepts with practical engineering applications.