جستجوی استاد راهنمای دانشگاهی

Ivan Chorbevمشاهده پروفایل

استادیار

• Combinatorial optimization
• Heuristic algorithms
• Constraint programming
• +۵ مورد دیگر

Ivan Chorbev, Ph.D. is an Assistant Professor at the Institute for Computer Science and Engineering , Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje, North Macedonia. Since 2009 he has taught courses ranging from Structured Programming to Computer Animation and consulted on numerous EU and national ICT projects. Education B.Sc., Faculty of Electrical Engineering, Skopje, 2004 M.Sc., Faculty of Electrical Engineering, Skopje, 2006 Ph.D., Faculty of Electrical Engineering and Information Technologies, Skopje, 2009 Research Interests His work integrates combinatorial optimization and machine learning to solve complex real-world problems. Core themes include designing heuristic algorithms and constraint programming models for scheduling, resource allocation and telemedicine systems, developing medical expert systems that leverage knowledge extraction and predictive modeling, and creating web-based platforms for e-health, smart living and educational services. Publication Trends Over 70 peer-reviewed works (2005-2014) reveal a clear trajectory from foundational optimization and constraint-solving research toward interdisciplinary applications in telemedicine , social media analytics , and assistive technologies . A notable 2011-2014 surge focuses on cloud-supported e-health systems, 3-D printing for assistive devices, and mining social media for epidemiological insights. Scientific Awards Golden engineering ring – awarded by the Organization of Engineers of Macedonia for best student of his generation. Projects & Funding Risk Assessment for Customs in Western Balkans – FP6 COST IC0602 Algorithmic Decision Theory – management committee member (FP6) COST IC1002 MUMIA – management committee member (FP7) E-HFISN – e-Health applications using folksonomy & social networks (FP7) TEMPUS – Innovation and Knowledge Management toward eStudent Information System Laboratory & Team He conducts research within the Institute for Computer Science and Engineering laboratories, supervising graduate projects in optimization, medical informatics and smart environments.

• Machine Learning
• Data Mining
• Web Programming
• +۵ مورد دیگر

Xhemal Zenouni is a Full Professor and currently serves as Dean of the Faculty of Modern Sciences and Technologies at South East European University (SEEU) in Tetovo, North Macedonia. He holds a PhD in Computer Sciences from the Technical University of Sofia (Bulgaria), specializing in 'QoS Aware Semantic Service Composition via AND/OR Graphs.' His academic career spans over two decades, with roles including Acting Dean, Vice-Dean, and Associate/Assistant Professor at SEEU. Education: PhD in Computer Sciences (2012): Technical University of Sofia, Sofia, Bulgaria MSc in Internet Software Technologies (2005): New Bulgarian University, Sofia, Bulgaria BSc in Computer Sciences (2003): South East European University, Tetovo, Macedonia Research Interests: Machine Learning and AI applications in education, agriculture, and social media IoT-driven smart systems for agriculture and urban planning Cloud computing architectures and metadata-driven data integration Web programming, distributed systems, and game development Algorithmic solutions for hate speech detection and ethical AI Articles Trends: His recent work focuses on predictive modeling for student success, hate speech detection in Albanian social media, IoT-based agricultural systems, and cloud-agnostic data integration frameworks. Over 30 publications since 2017 highlight contributions to machine learning, data mining, and technology-driven solutions for societal challenges. Leadership Roles: Dean (2023–Present) Acting Dean (2023) Vice-Dean for Academic Affairs (2016–2021) Pro-Dean for Academic Issues (2004–2008) Labs/Teams: Leads interdisciplinary teams in SEEU's Faculty of Modern Sciences and Technologies, focusing on AI, IoT, and educational technology projects.

Milos Jovanovikمشاهده پروفایل

دانشیار

• Knowledge Graphs
• Linked Data
• Data Science
• +۵ مورد دیگر

Milos Jovanovik is an Associate Professor at the Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje. Concurrently, he serves as a Knowledge Graphs Researcher at TU Wien (Vienna) and Senior R&D Knowledge Graphs Engineer at OpenLink Software (London). His academic trajectory includes a B.Sc. in Informatics and Computer Engineering (2008), M.Sc. in Computer Networks and E-Technologies (2010), and Ph.D. in Computer Science and Engineering (2016), all from Ss. Cyril and Methodius University. His research focuses on Knowledge Graphs , Linked Data , and Data Science , with applications in Open Data ecosystems and Semantic Web technologies. Recent work explores AI-driven solutions for large-scale biomedical data, including nephrology analytics and synthetic health record generation. He has authored ≈60 scientific papers and co-authored three books. Jovanovik leads projects involving international collaborations (e.g., TARGET EU Project on health virtual twins and SPARQL-ML for query optimization). He has participated in 9 international and 26 domestic research projects. His educational contributions include courses in operating systems, e-commerce, DevOps, and web-based systems. He directs research teams at TU Wien and FCSE Skopje, focusing on knowledge graph innovation and scalable data solutions. No awards are explicitly documented in the provided sources.