Betim Zeqiri is an Assistant Professor in the Faculty of Technical Sciences at South East European University (SEEU), where he engages in academic activities full-time. His role involves contributing to the educational and research initiatives of the institution. Research Interests: His work spans general areas within Technical Sciences, including Computer Science Information Technology Software Engineering Data Analysis Network Security Systems Engineering .
Visar Shehu is a Full Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (SEEU), Tetovo, Macedonia. With over 15 years of academic experience, he has held positions including Associate Professor (2018-present), Assistant Professor (2013-2018), and Assistant (2007-2013) at SEEU. Doctorate in Computer Sciences from SEEU (2012) with specialty in Computer Vision and Data Mining Master of Science in Computer Sciences from Indiana University Purdue University Indianapolis (2007) focusing on Biomedical Knowledge Visualization His research spans Artificial Intelligence , Natural Language Processing , and Smart Technologies , with notable work in Albanian language processing , XR disaster response systems , and anomaly detection in aquaculture . His publications since 2016 demonstrate interdisciplinary applications of AI in journalism, education, and crisis management. Recent publications (2022-2025) focus on Immersive Technologies (VR/AR development), NLP for Albanian language , and Geospatial XR for disaster response. Earlier works (2016-2018) explored data mining applications in HR recruitment, media bias detection, and educational analytics.
Drenushe Fidani is a Full-time Associate Professor at the Faculty of Technical Sciences, South East European University. The individual's research interests span broad areas within Engineering, Computer Science, Information Technology, Network Systems, Applied Mathematics, and Software Development . These fields reflect the academic focus typically associated with the Faculty of Technical Sciences.
Marjan Gushev is a Professor at the University Sts. Cyril and Methodius , specifically affiliated with the Faculty of Information Sciences and Computer Engineering . He holds a Ph.D. in Computer Science from the University of Ljubljana (1992), preceded by an M.Sc. (1989) and undergraduate degree (1985) with outstanding success from his alma mater. Research focuses: Parallel Processing, Internet Technologies, E-Business, Mobile/Wireless Applications, Computer Architecture Publications: 51 international journal articles, 91 conference proceedings His scholarly work spans parallel processing algorithms , e-government systems , and mobile computing , with recent articles exploring n-tier e-deposit architecture , multimedia messaging frameworks , and student-focused e-commerce models . These publications emphasize distributed systems , wireless communication , and transaction security . As an academic leader, he has mentored 10 M.Sc. and 5 Ph.D. candidates, directed 17 international projects, and founded Innovation —a company delivering IT solutions for government and business. He established Macedonia's Wireless Applications Lab , New Innovative Technologies Lab , and serves as director of Cisco Academy , Microsoft Academy , and Pearson Vue Testing Centre .
Dr. Katerina Zdravkova is a Professor at the Institute of Informatics within the Faculty of Natural Sciences and Mathematics at Ss. Cyril and Methodius University in Skopje. With a Ph.D. in Computer Science and extensive international experience, she has held academic roles since 1989 and authored 4 international journal papers, 2 domestic papers, and 34 conference proceedings. Her work spans e-learning , machine translation , and software engineering , with a focus on Macedonian language technologies. Education : B.Sc. in Mathematics and Informatics (1983), M.Sc. in Computer Engineering (1988), Ph.D. in Artificial Intelligence (1993). Teaching : Delivered 15 undergraduate and graduate courses in informatics, computational linguistics, and software engineering. Research Interests include neural networks for language processing, computational linguistics for Macedonian morphology, and educational technology for cross-border course development. She pioneered machine translation systems and language resource annotation , integrating Web 2.0 into ethics education. Scientific Awards : Special IEEE Award for Exceptional Contribution Projects coordinated include UNESCO IITE initiatives, DAAD collaborations, Tempus curricula, and NATO research on trust management systems. She serves as a reviewer for international ministries and journals and as a program committee member in four conferences.
Ana Madevska Bogdanova is an Associate Professor at the Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje. She has been affiliated with the university since 1992, initially at the Institute of Informatics under the Faculty of Natural Sciences and Mathematics, and later transitioning to her current role. Her career spans academic and research contributions in multiple domains. Bachelor and Master in Informatics, Institute of Informatics, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University (1991, 1996) PhD in Computer Science - Intelligent Systems, Institute of Informatics, Faculty of Natural Sciences, Skopje (2003) Her research focuses on Intelligent Systems , Bioinformatics , and Machine Learning , with additional interests in ICT in Education and Methodics in Informatics . Over 15 years, she has engaged in international collaborations as a visiting researcher at the Bioinformatics group, Catholic University in Leuven, Belgium. Madevska Bogdanova has authored over 40 scientific papers and book chapters in Computer Science, contributed to domestic and international projects, and served on program committees for journals and conferences. She is a member of the European Society of Neural Networks.
Dejan Gjorgjevikj is a Full Professor at the Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje. He joined the Department of Computer Science and Engineering in 1992, progressing from Assistant Professor (2004) to Associate Professor (2009) before attaining full professorship in 2014. His international academic engagements include research visits to institutions in Austria, Bulgaria, the Czech Republic, and the UK. Education: Bachelor's and Master's degrees from the Faculty of Electrical Engineering, Skopje (1992, 1997); PhD from the same institution (2004). Research Focus: His primary research explores pattern recognition, machine learning, and software engineering. Recent work emphasizes applications in industrial diagnostics (fault detection in machinery), blockchain security (Ponzi scheme detection), environmental monitoring (air pollution prediction), and human-computer interaction (sensor-based activity recognition). Methodologies frequently involve deep learning architectures like autoencoders, LSTMs, and adversarial networks. Publication Trends: Gjorgjevikj has authored over 90 publications, with recent works demonstrating increased focus on neural network applications in cross-domain problems (mechanical engineering, finance, IoT) and NLP tasks like sarcasm detection. His articles frequently appear in IEEE, Springer, and Elsevier journals. Awards: AAIA’15 Data Mining Competition Award (2015) Projects & Service: Involved in 10+ international/domestic research projects IEEE member since 1991, ACM member since 1997 Program committee member for multiple international conferences
Andrea Kulakov is an Assistant Professor at the Institute of Intelligent Systems within the Faculty of Computer Science and Engineering at Ss. Cyril and Methodius University in Skopje. He co-founded the Faculty of Computer Science and Engineering in 2011 and was elected Head of the Institute of Intelligent Systems the same year. His academic career includes teaching roles in Artificial Intelligence, Robotics, and Databases since 2000. PhD in Data Management in Wireless Sensor Networks (defended 2006) Graduate of Faculty of Electrical Engineering (Skopje) with highest honors Co-founded NI TEKNA – Intelligent Technologies (2008) Research spans Robotics, Business Intelligence, Image/Sound Processing, and Cognitive Science. His work has attracted funding from EU TEMPUS/FP6 programs and the Macedonian Ministry of Education. Fluent in five languages, with technical expertise in six. Scientific Awards: IEEE Computational Intelligence Society Graduate Student Research Grant (2005) He has published over 60 scientific papers and a book chapter, with international defense committee recognition for his MSc thesis. Currently supervises academic programs and leads research initiatives in intelligent systems.
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.
Goce Armenski is a Professor at the Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje. He has been actively involved in teaching and research since his postgraduate studies, with a focus on e-learning, electronic testing, and web applications. His academic career includes leadership roles in projects related to e-business and e-government. Born in 1995, he graduated with a thesis titled 'Publishing via WEB' and earned his PhD in 2010 with research on service-oriented architecture in e-testing. He has taught courses in computer architecture, networks, multimedia, and educational software design. Member of IEEE, World Federation of Scientists, and ETAI (Macedonian Society for Electronics, Telecommunications, Automation, and Informatics). His research spans e-learning systems, service-oriented architecture, and educational software, with 22 conference papers and 2 international journal publications. He participated in national and international projects, including the 2005 working group for Macedonia's National Strategy for Information Society Development. Scientific Awards : 2003 International Scholarship from World Organization of Scientists (Switzerland).
Dr. Dejan Spasov is an Assistant Professor at the Faculty of Computer Science and Engineering , Ss. Cyril and Methodius University in Skopje, North Macedonia. Born in 1976, he graduated in 2003 from the Faculty of Electrical Engineering at the same university, completed a Master's at Boston University (2006), and earned his Ph.D. in Natural Sciences in 2010 with the thesis "Some properties of good codes". Education: Faculty of Electrical Engineering (2003) Boston University, MA (2006) Ph.D. in Natural Sciences (2010) His academic focus lies in Coding Theory and Computer Networks , with formal participation in 3 international projects and 6 academic conferences. While his institutional affiliation is in computer science, his publications span medical diagnostics and clinical research , particularly rheumatology, hematology, and nephrology biomarkers. The 15 most recent publications address topics like chromosomal aberrations in multiple myeloma , renal tubule enzymuria , and C-reactive protein dynamics , indicating interdisciplinary work linking computational methods with clinical medicine. Keywords include Hematology , Rheumatology , and Nephrology , with sub-fields such as prognostic biomarkers , genetic polymorphisms , and diagnostic imaging . Dr. Spasov maintains office hours in classroom M4 on Thursdays (09:00–10:00) and Tuesdays (12:00–13:00). Further details about his work and affiliations can be found in the sections below.
Igor Mishkovski is a Professor at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje. His research focuses on complex networks, computer networks, wireless mobile ad hoc networks, application software, web technology, and systems-on-chip design. Education: Born in 1981 in Skopje. Graduated in Electrical Engineering from the University of Skopje in 2005. Completed master’s studies at the Faculty of Electrical Engineering and Information Technologies in 2008. Currently working on his doctoral thesis in the area of vulnerability and dynamical processes of complex networks. Research Interests: Complex networks and their vulnerability. Wireless mobile ad hoc networks. Computer networks and systems-on-chip design. Web and application software development. Contributions: He has published 15 scientific papers in international and domestic conferences and journals, participated in 5 book preparations, and contributed to multiple research and application projects. He has also designed teaching materials and exercises for computer technology and informatics courses. Contact: Office hours: Monday, 14:00-16:00 in room M10. Email: igor.mishkovski@finki.ukim.mk .
Miroslav Mirchev is an Associate Professor at the Faculty of Information Sciences and Computer Engineering, Ss. Cyril and Methodius University in Skopje. He has been affiliated with this institution since 2007, initially as a demonstrator and later as a junior assistant (2010), assistant professor (2014), and associate professor (2019). His academic journey includes research stays at the City University of Hong Kong (2010), University of California, San Diego (2011), and the Institute Jožef Stefan in Ljubljana (2011). B.E. in Informatics and Computer Engineering (2008), Ss. Cyril and Methodius University M.S. in Computer Networks and E-Technologies (2009), Ss. Cyril and Methodius University Ph.D. in Complex Networks (2014), Polytechnic University of Turin Mirchev's research focuses on network science, machine learning, and artificial intelligence. His work explores comparative processes in complex networks with imperfections, integrating computational methods and applications in information sciences and computer engineering. He has participated in multiple international and national research projects, served as a member of program committees for several conferences, and chaired one international conference. While no specific scientific awards are documented, his career includes mentorship roles and contributions to collaborative research initiatives.
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.
Eftim Zdravevski is an Associate Professor at the Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje. His office hours are held online and in-person (TMF 119). He obtained both his bachelor's degree (2008) and master's degree in data mining from the university's Faculty of Electrical Engineering and Information Technologies, receiving continuous academic recognition for exceptional performance. His research focuses on: Artificial Intelligence: Machine learning, expert systems, and decision support systems Data Systems: Data mining, databases, data warehouses, and intelligent information systems Distributed Networks: Wireless sensor-actor networks He maintains dual professional roles as a developer-researcher at NI TEKNA – Intelligent Technologies since 2008, designing information systems. Notable honors include his MENSA membership since 2004.
