Zlatkova Aleksandra is affiliated with the Faculty of Electrical Engineering and Information Technologies at Ss. Cyril and Methodius University in Skopje. Her research spans interdisciplinary domains including Machine Learning , Signal Processing , and Energy Systems . Key contributions in Power Quality analysis using Convolutional Neural Networks Expertise in Federated Learning for Short-Term Energy Forecasting Developed the UbiLAB Framework for remote laboratory environments Explored Wavelet Transforms in Medical Image Processing Her work also addresses Smart Grid Security through Temporal Convolutional Networks and investigates Honeybee Swarming with Acoustic Signal Processing . Recent publications emphasize Multi-Horizon Forecasting and Deep Learning applications in energy and medical domains.
Dimirovski Georgi is a Professor at the Department of Control and Systems Engineering, Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University of Skopje. His research focuses on advanced control systems, neural networks, cyber-physical systems, and computational cybernetics. He has extensively contributed to theoretical and applied aspects of switched systems, nonlinear control, fault-tolerant mechanisms, and networked control systems. His work integrates methodologies such as Lyapunov theory, adaptive control, and reinforcement learning to address complex challenges in robotics, aerospace, and industrial automation. Recent studies emphasize resilient control under adversarial attacks, optimal resource allocation, and synchronization of dynamic systems. Key research trends include: (1) developing robust control strategies for systems with time-delays and uncertainties, (2) enhancing cybersecurity in cyber-physical systems through deception attack detection and mitigation, and (3) advancing machine learning techniques for real-time system estimation and prediction. Dimirovski has published over 200 peer-reviewed articles, with recent contributions appearing in top journals and conferences. His work frequently explores intersections between control theory and artificial intelligence, particularly in applications requiring safety-critical performance guarantees.
Dr. Aristotel Tentov is a Full Professor at the Faculty of Electrical Engineering, Computer Science Department of the University 'St. Kiril i Metodij' in Skopje, Macedonia. He holds a Ph.D. in Computer Science (1994), M.S. (1989), and B.S. (1983) from the same university. His career spans over three decades, progressing from Research Assistant (1985) to Assistant Professor (1994), Associate Professor (1999), and Full Professor (2004). His research encompasses Computer Architectures Multiprocessor Systems Networking (Wired/Wireless/ATM) Embedded Systems RFID Process Control Dr. Tentov authored/co-authored over 20 scientific papers and technical reports, with notable work on TCP performance modeling (2000–2001) and double-loop network analysis (1990s). Projects include NATO fighter avionics integration (1991) and EU-funded HeliNet stratospheric network design (2001). He led multiple industrial projects including control systems for zinc smelters, university computer networks, and the Macedonian Rosetta Stone deciphering initiative (2003–2005). His work bridges academic research with practical industrial solutions.
Prof. Ljupce Markuseski is an Associate Professor at the Economic Faculty of Prilep, part of the Ss. Cyril and Methodius University of Skopje. He holds a PhD in designing decision-making models and has extensive experience in quantitative methods, mathematical modeling, and decision theory. His career spans over three decades, beginning as a junior assistant in 1987 and advancing to his current rank in 2018. He has contributed to numerous international conferences and co-authored impactful papers on topics like decision support systems, knowledge management, and innovation financing. Education: Bachelor's in Economics, Economic Faculty of Prilep Master's thesis on optimizing technological processes (2004) PhD thesis on decision-making models (2010) Research focuses on mathematical modeling of economic phenomena, decision theory, and business systems optimization. His work bridges theoretical frameworks with practical applications in Macedonian companies, emphasizing technological adoption and sustainable economic practices. Recent articles highlight contributions to data mining, electronic commerce, and patent-driven business strategies. These reflect trends in leveraging technology for decision-making and market competitiveness. Awards and recognitions aren't explicitly mentioned, but his active participation in international academic networks underscores his scholarly impact.
Dejan Zdravevski is a Full Professor at the Faculty of Economics in Prilep, Macedonia. He holds academic roles including former Deputy Dean and has been involved in EU-funded international collaborations. His expertise spans Business Intelligence systems, strategic management, and IT applications in business processes. Education: Bachelor's in Economics (Statistical Cybernetics), Faculty of Economics in Prilep Master's in Business Administration (Thesis: Data Mining in Business Operations) PhD in Economics focusing on Business Intelligence Performance Modeling Research Interests: Dr. Zdravevski explores the application of advanced IT systems (e.g., cloud computing, autonomic systems) in Macedonian enterprises, business strategy, and labor market dynamics in the ICT sector. International Collaborations: Visiting scholar at University of Udine (Italy) and University of the West of England (UK) under Tempus projects. Grants & Awards: No specific grants or awards listed. Labs/Teams: No formal lab affiliations mentioned, but active in interdisciplinary research networks.
Nuhi Besimi is an Assistant Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (SEEU). His research focuses on machine learning, data mining, AI applications in education and music, and disaster response systems. He has published extensively in conferences like MECO and IEEE, addressing topics ranging from ethno-fusion music datasets to low-cost machine learning architectures. His work includes creating benchmark datasets for ethno-fusion music, developing energy-efficient ML systems using Raspberry Pi clusters, and analyzing media bias through data mining. Besimi collaborates with institutions in Montenegro, Croatia, and Albania on interdisciplinary projects. Recent trends in his publications emphasize AI-driven solutions for education, music technology, and disaster management. He has contributed to fake news detection surveys and automatic literature review systems leveraging OpenAI tools. His research bridges theoretical data science with practical applications in diverse cultural and technological domains.
Halil Snopçe is a Part-Time Full Professor at the Faculty of Contemporary Sciences and Technologies within South East European University . His academic and professional work spans applied mathematics , blockchain technology , cybersecurity , and parallel computing . Doctor in Computer Science and Applied Mathematics (2007-2011), SEEU Master in Mathematics (2003-2007), University of Tirana Bachelor in Mathematics (1992-1997), St. Cyril and Methodius University Snopçe’s research focuses on mathematical transformations , systolic arrays , and blockchain applications in education and credentials verification. His work also addresses cybersecurity challenges , data mining , and parallel processing for computational efficiency. Recent publications highlight trends in blockchain technology for academic systems, parallel algorithms , and educational technology during the pandemic. His applied mathematics contributions include numerical analysis and linear algebra solutions. Snopçe has no listed scientific awards in the provided information. He has collaborated on student advising and interdisciplinary research projects, though specific advisees are not detailed.
Suzana Loshkovska, PhD , is a Full Professor at the Faculty of Computer Science and Engineering of Ss. Cyril and Methodius University in Skopje , Macedonia. Since 1992 she has held continuous academic appointments, interrupted only by a visiting-researcher stay at the Academy of Sciences of Lower Austria (1993–1994) where she designed a medical information system for Krems Hospital. Education : BSc (1989) and MSc (1992) in Computer Science and Automation, Faculty of Electrical Engineering, Skopje PhD (1995) in Technical Sciences, Technical University of Wien, Austria Research Interests span programming, visualization, human–computer interaction, virtual reality, medical imaging, and modelling/visualization of medical processes. Her work integrates advanced algorithmic techniques—such as hierarchical multi-label classification, support-vector machines, predictive clustering trees, and Bayesian networks—into practical medical and multimedia applications. Across more than one hundred peer-reviewed publications, her recent articles concentrate on content-based medical image retrieval , annotation of medical images , visual concept detection , and interactive medical systems . These contributions collectively advance computer-aided diagnosis, clinical decision support, and efficient management of large-scale medical data sets. Scientific Awards & Recognition : Member, Editorial Board, INFORMATICA (international journal, Slovenia) Projects & Funding : Principal investigator or participant in bilateral and EU-funded projects including SEE-ERA.NET Plus, TEMPUS DL@WEB, TEMPUS M.Sc. E-Learning, and multiple Macedonian Ministry of Science grants covering medical imaging, environmental modelling, distance learning, and electromagnetic-effects visualisation. While no specific research group or laboratory name is provided, her sustained involvement in national and international projects indicates active leadership within the university’s medical-informatics and multimedia-research community.
Simona Samardzhiska, Ph.D., is an Associate Professor at the Department of Computer Science and Engineering, Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje. Her academic work focuses on cryptography, network and information security, algorithm design, and data mining, alongside contributions to machine learning and artificial intelligence. Her research spans both theoretical and applied aspects of computer science, particularly in cybersecurity and algorithmic innovation. She has supervised 14 Ph.D. students and over 20 master's students, contributing significantly to academic mentorship. She is affiliated with the Laboratory of Cryptography and Security Technologies, advancing practical applications in security protocols. Her scholarly achievements include awards such as the 'Young Researcher' recognition from her university in 2007. Major Awards: Young Researcher award (2007)
Prof. Dr. Andreja Naumoski is a full professor at the Faculty of Computer Science and Engineering (FCSE) at Ss. Cyril and Methodius University in Skopje. Since 2009, he has contributed to teaching and research, leading courses in intelligent information systems and serving as head of the master’s program in Eco-Informatics and the Laboratory for Eco-Informatics since 2024. Focus areas: machine learning, GIS applications, environmental data modeling Specialties: Smart IoT systems, ecological modeling, data visualization His research emphasizes intelligent decision support systems applied to environmental domains, integrating GIS with machine learning for dynamic process prediction. He participated in international projects (Interreg IPA, Tempus, FP6) and authored over 100 papers in prestigious venues.
Xhemal Zenuni is a Full Professor and current Dean at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, North Macedonia). His academic career spans multiple roles from IT Administration Assistant (2003-2004) to progressively senior positions including Young Assistant (2004-2006), Assistant (2006-2008), Assistant Professor (2013-2018), Associate Professor (2018-2023), and now Full Professor since 2023. Education: PhD in Computer Sciences (2006-2012, Technical University of Sofia), specialization in Computer Systems, Complexes and Networks Master of Sciences in Informatics (2004-2005, New Bulgarian University), specialization in Internet Software Technologies Bachelor of Sciences in Computer Sciences (2001-2003, SEEU) With expertise in Machine Learning , IoT , Cloud Computing , and Database Systems , his research focuses on applying AI/ML techniques across multiple domains. Recent work includes predictive modeling in education, hate speech detection for Albanian social media, smart agriculture systems, and microservices architecture migration. His publications demonstrate consistent engagement with modern computational challenges, particularly around low-resource language processing , smart city infrastructure , and educational technology . While serving as Dean and Vice-Dean, he has maintained active research output through collaborations with colleagues like Mentor Hamiti, Jaumin Ajdari, and Florije Ismaili.
Azir Aliu is a Part-Time Full Professor at the Faculty of Technical Sciences , South East European University (Tetovo, North Macedonia). His academic focus lies in computer science, cybersecurity, and blockchain technology, with a career spanning technical research and education in digital systems. Email: azir.aliu@seeu.edu.mk Address: Ilindenska bb, Tetove Phone: +389 44 356 168 Research Interests: Aliu's work bridges advanced computing with practical applications in education, security, and blockchain. His recent research emphasizes academic ranking platforms , blockchain integration in higher education , and data mining techniques for curriculum-market alignment . Earlier studies explored cryptography , cybersecurity challenges , and natural language processing for Albanian language . Publication Trends (2018-2024): Spanning blockchain for academic systems, cybersecurity frameworks, and sentiment analysis in multilingual contexts, his work reflects interdisciplinary collaboration across North Macedonia, Turkey, Montenegro, and Bahrain. Topics include smart contract implementation , parallel computing architectures , and child online safety .
Bujar Raufi is an Associate Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (SEEU), working part-time since 2017. His academic career spans over 15 years at SEEU, including roles as Assistant Professor (2012-2017), Teaching Assistant (2012), Prodean for Postgraduate Studies (2008-2012), and various assistant positions since 2003. He completed his Ph.D. in Computer Science at the Technical University of Sofia (2006-2011) with a thesis on adaptive web-based systems using data mining and semantic web technologies. Doctor of Computer Science, Technical University of Sofia, Bulgaria (2011) M.Sc. in Informatics, New Bulgarian University, Bulgaria (2005) B.Sc. in Computer Sciences, South East European University, Macedonia (2003) Raufi's research focuses on data mining, semantic web technologies, machine learning, web-based systems, and database systems. His work addresses practical applications in education, mobile platforms, and smart agriculture. He has collaborated on diverse projects including hate speech detection, web personalization, and database migration. His publications (2016-2020) demonstrate expertise in natural language processing, adaptive systems, and database technologies, with a recurring interest in solving educational and ethical challenges through computational methods. While no formal awards are documented, his career shows progression from technical roles to academic leadership in computer science education and research. Raufi has contributed to curriculum development, teaching responsibilities in internet technologies and computer graphics, and active research output. He maintains proficiency in multiple languages including English, Macedonian, French, and Turkish.
Артан Лума is a Full Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, North Macedonia). He holds a PhD in Computer Sciences (Cryptography) from SEEU, a Master's in Multimedia, and an engineering degree in Informatics. His academic roles span over two decades, including Deputy Director of e-Learning Center and prior positions as Associate Professor (2015–2020), Assistant Professor (2010–2015), and Teaching Assistant (2003–2010). His research focuses on Cryptography, Cybersecurity, Blockchain Technology, and Data Mining, with notable contributions to academic credential verification systems, alignment of university curricula with job markets, and industrial IoT security. He has authored/co-authored over 40 peer-reviewed publications in venues like IEEE, International Journal of Online and Biomedical Engineering, and SAR Journal. Key Research Themes: Blockchain applications in education, cybersecurity frameworks for IIoT, parallel computing algorithms. Grants/Projects: Developed the North Macedonia Research Ranking Platform and collaborated on EU-funded projects aligning education with labor market needs. Educational Leadership: Pioneered e-Learning initiatives and curriculum modernization in Balkan universities.
Vladimir Atanasovski is an Adjunct Professor at the Department of Telecommunications, Faculty of Electrical Engineering and Information Technologies (FEIT) at Ss. Cyril and Methodius University in Skopje. He holds a Doctorate in Technical Sciences (2010), a Master’s in Electrical Engineering (2006), and a Bachelor’s in Electrical Engineering (2004), all from the University of Skopje. His career spans over 19 years at FEIT, progressing from Demonstrator (2004–2006) to Assistant Professor (2006–2010), Associate Professor (2010–2015), and Adjunct Professor since 2015. His research focuses on telecommunications , blockchain applications , and AI integration in academic systems. Notable areas include blockchain-based diploma verification systems, 5G network optimization, IoT traffic classification, and radio spectrum management. He has contributed to projects like eWALL for eHealth platforms and Flash Crowd Management in virtualized networks. Recent publications emphasize blockchain security , AI-driven credential verification , and 5G NR architecture . His work bridges academia and industry, addressing challenges in cybersecurity, network efficiency, and education technology. Vladimir’s expertise extends to collaborative projects with international partners, leveraging machine learning and cognitive radio networks for innovative solutions in telecommunications and smart systems.
