جست‌وجوی استاد و پژوهشگر

Florije Ismailiمشاهده پروفایل

استاد

• Machine Learning
• Semantic Web
• Data Mining
• +۶ مورد دیگر

Florije Ismaili is a Full Professor at the Faculty of Contemporary Sciences and Technologies at South East European University (SEEU) in Tetovo, Macedonia. With a PhD in Computer Science from Technical University of Sofia and a Master's in Informatics from New Bulgarian University, her research focuses on Machine Learning , Semantic Web , Internet of Things (IoT) , and Data Mining . She has led research initiatives and taught courses including Web Programming and Distributed Systems. Doctor of Computer Science (2011), Technical University of Sofia, Bulgaria Master of Science (2005), New Bulgarian University, Sofia Bachelor of Mathematics (2003), EGE University, Izmir, Turkey Her publications demonstrate expertise in applying Machine Learning to domains like education, healthcare, and smart farming. She specializes in Semantic Web techniques for IoT data integration and causal reasoning in complex datasets. Recent work includes predictive modeling of student success and ethical considerations in AI applications. Professor Ismaili's research spans IoT semantic annotation, Cloud Computing architectures for healthcare, and causal rule mining. She has contributed to journals such as IEEE Transactions and Springer publications, with a focus on contextual data integration and ethical data analysis. Her career at SEEU includes prior roles as Assistant Professor, Head of Research Office (CST Faculty), and Young Assistant. She has collaborated on projects addressing database migration, hate speech detection, and e-Government maturity assessment.

Goran Velinovمشاهده پروفایل

استادیار

• Data warehousing
• Multidimensional data modeling
• Business intelligence
• +۱ مورد دیگر

Goran Velinov is Assistant Professor at the Faculty of Computer Science and Engineering, University Ss. Cyril and Methodius, Skopje, Macedonia. He has been with the faculty since 2009, teaching Advanced Data Bases and conducting research in data warehousing and business intelligence. Education: Ph.D. in Computer Science, University Ss. Cyril and Methodius, 2008 – Thesis: "Generalization and Improvement of Relational Data Warehouse Optimization Processes" Research Interests: Goran Velinov’s work focuses on the design and implementation of data warehouses, multidimensional data modeling, and business intelligence systems. His research aims at improving optimization processes within large-scale relational data warehouses, contributing to more efficient data analytics and decision support systems. Projects & Grants: He has participated in multiple international initiatives, including: ELISA – INTERREG IIIB CADSES (2006–2008) SEE-GRID – 6FP IST project (2004–2006) SEE-GRID2 – 7FP IST project (2006–2008) Teaching & Office Hours: Professor Velinov holds weekly office hours on Tuesdays 10:00–12:00 and Thursdays 10:00–12:00 in classroom M3, providing guidance to students and collaborators on advanced database topics.

Anastas Mishevمشاهده پروفایل

استاد

• Grid Computing
• High Performance Computing
• Computer Networks
• +۷ مورد دیگر

Anastas Mishev is a Professor in the Department of Software Engineering at the Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje. Holding a PhD in Informatics, he has been a faculty member since 2003 and currently serves as the coordinator for Macedonia in the FP7-funded High Performance Computing project (HP-SEE). His research focuses on grid computing, high-performance computing infrastructures, computer networks, software engineering, and e-learning. He has contributed to over 35 scientific and academic publications and participated in more than 25 international projects funded by programs such as Tempus, Fare, DAAD, and FP. Active faculty member since 2003 PhD in Informatics (2009) Head of Computer Center at Institute of Informatics since 2009 Research interests include: grid computing, high-performance computing systems, computer architectures, software engineering, and internet technologies. His work emphasizes democratizing access to computational infrastructures for research communities.