Sami Mehmeti is an Associate Professor at the Faculty of Law , South East European University , with a focus on Legal History , Roman Law , and Comparative Law . His work spans Private International Law , Space Law , Labor Law , and Constitutional Law , often addressing interdisciplinary intersections. PhD in Legal History (University of Skopje, 2015) MA in Civil Law (University of Prishtina, 2010) BA in Law (South East European University, 2005) His research examines historical legal systems , cross-jurisdictional harmonization , and emerging legal challenges in space exploration . Recent publications analyze Brussels I Regulation , orbital pollution , and labor standards in Kosovo . Scientific Awards : None listed. Grants & Advising : No specific grants mentioned. Collaborates with scholars like Blerton Sinani , Granit Elezaj , and Stefani Stojčevska . Experience in education and research since 2005.
Denkovski Daniel is an Associate Professor at the Institute of Computer Engineering and Informatics at the Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University (UKIM) in Skopje. He holds a PhD in Technical Sciences (2016) from UKIM, a Master of Science in Electrical Engineering and Information Technologies (2011), and a Bachelor of Engineering in the same field (2008), all from FEIT. His primary research focuses on federated learning, wireless communication systems, cognitive radio networks, and AI ethics, particularly in healthcare applications. Since 2009, he has been a researcher at WINGroup, FEIT, and has been an Associate Professor at FEIT since 2017. His work spans theoretical and applied research, including contributions to federated learning frameworks, RF energy harvesting, and bias mitigation in clinical AI systems. He has co-authored over 100 publications, emphasizing interdisciplinary applications of machine learning in healthcare, IoT, and telecommunications. Key research areas include: Federated Learning: System-level implementation, healthcare applications, and optimization over wireless networks. Wireless Communication: RF energy harvesting, network slicing, and NOMA-based resource allocation. AI Ethics: Investigating algorithmic bias in clinical datasets and vital sign-based racial disparities. His research has been applied to real-world scenarios such as prosthetic control systems, hospital readmission prediction, and intrusion detection in ambient assisted living environments. No scientific awards are explicitly mentioned in the provided texts. Professional contributions include leadership in the WINGroup lab and collaborations on projects like eWALL for Active Long Living. His work integrates cognitive radio principles with home networking and cloud-based solutions for vital signs tracking.
Velichkovska Bojana is an Associate Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of the Ss. Cyril and Methodius University in Skopje. Her research focuses on machine learning applications in healthcare, IoT security, and algorithmic bias detection. She actively contributes to addressing ethical challenges in clinical AI through studies on demographic bias in medical datasets and vital sign analysis. Her academic work spans over a decade, with notable contributions in: Machine learning for early cancer diagnosis 3D sign language animation systems IoT traffic classification Racial bias detection in healthcare algorithms Her recent publications emphasize critical analysis of AI fairness in clinical contexts, including groundbreaking work on how vital signs data can inadvertently encode racial biases. Methodologically, she combines computer vision techniques like image segmentation with advanced machine learning models to enhance algorithm transparency. Bojana maintains active collaboration with industry partners in developing wearable sensor systems for healthcare applications. Her pedagogical contributions include teaching advanced machine learning courses at FEIT and supervising multiple research teams in applied AI ethics.
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.
Marija Kalendar is an Associate Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of the Ss. Cyril and Methodius University of Skopje. She is affiliated with the Department of Computer Engineering and Informatics, where she contributes to research and teaching in computer science, AI, and network technologies. Her work spans machine learning applications, healthcare ethics in AI, IoT frameworks, FPGA implementations, and remote laboratory systems. Education: No explicit educational details provided in the text. Research Interests: Dr. Kalendar's research focuses on ethical AI (e.g., bias detection in medical datasets), federated learning for healthcare and IoT security, FPGA-based hardware designs for networking, and virtual laboratory frameworks. She also explores cryptocurrency price prediction using ML and LoRaWAN IoT limitations. Key Article Trends: Her recent work emphasizes AI ethics (racial bias in clinical AI), cybersecurity in IoT (federated learning for intrusion detection), and remote education infrastructure (UbiLAB framework). She also studies vital signs' role in bias and 5G network frameworks for mission-critical data. Grants/Advising: No specific grants or advising details provided. However, her involvement in collaborative projects (e.g., UbiLAB, federated learning frameworks) suggests interdisciplinary teamwork. Labs/Teams: Her affiliation with the Department of Computer Engineering and Informatics implies collaboration with FEIT's research institutes, though specific lab names are not mentioned.
Tomislav Kartalov is an Assistant Professor at the Department of Electronics, Faculty of Electrical Engineering and Information Technologies, University of St. Cyril and Methodius in Skopje, Republic of Macedonia. He has held this position since March 2015, following previous roles as a Teaching and Research Assistant from 2002 to 2015 and a brief period in technical maintenance at Macedonian Radio Television. Education includes a Ph.D. in Technical Sciences (2014) with a dissertation on Fusion of Digital Images and Videos for Visual Quality Improvement and Mobile Platform Implementation Possibilities , an M.Sc. in Electrical Engineering (2008) focusing on Visual Quality Enhancement of Digital Television Videos , and a B.Sc. in Electrical Engineering (2002) with a thesis on Software for Switching Power Supply Design (Flyback) . His research interests span image/video processing, mobile platform optimization, machine learning applications in education and healthcare, and sensor networks. Key areas include exposure fusion algorithms for mobile devices, real-time traffic sound detection systems, and multimodal information fusion for intelligent transportation systems. His publications from 2006 to 2023 reflect a strong focus on computational photography, embedded systems, and healthcare technology. Notable contributions include automated exposure fusion techniques for low-resource devices and AI-driven diagnostics using neuroimaging. No scientific awards or grants are explicitly mentioned in the provided texts. Kartalov’s advising history is not listed, but his teaching roles suggest involvement in graduate student mentorship. Laboratory affiliations are not detailed in the text.
Majlinda Fetaji is a Full Professor at the South East European University (SEEU) , affiliated with the Faculty of Contemporary Sciences and Technologies . She holds a Doctorate in Computer Sciences (2010) from SEEU. Her roles include academic leadership, research supervision, and contributions to interdisciplinary initiatives. Education: PhD in Computer Sciences, South East European University (2007–2010) Master’s in Computer Techniques, Saints Cyril and Methodius University (2007) Research Interests: Focus on AI-driven cybersecurity frameworks, educational technology innovations, and healthcare analytics. Key areas include blockchain applications, mobile learning strategies, and metaheuristic algorithms in medical diagnosis. Her work bridges technology adoption theories with practical implementation in underdeveloped regions. Awards: Researcher of the Year (Macedonian Academy of Sciences and Arts, 2009) Grants & Labs: Active in EU-funded projects like HRS4R. Leads research in SEEU’s Contemporary Sciences Department, with collaborations on AI frameworks (e.g., FRAUD-X), educational VR tools (VIMATE), and health data analytics. Future Work: Expanding research on AI ethics, pandemic-driven digitalization in education, and scalable m-commerce models for SMEs.
Milica Avramovska is a faculty member at the Faculty of Technical Sciences, Goce Delčev University , specializing in cross-industry applications of agile methodologies and digital tools. Her recent work focuses on optimizing workflows in the machine industry using IT practices like the Scrum framework and Jira, while also exploring environmental monitoring systems. Key research areas: Agile project management, workplace productivity, inter-industry collaboration Notable projects: Scrum implementation model for manufacturing, Jira-based workflow optimization, Dojran Lake sensor network Her scholarly output demonstrates trends in: Digitization of industrial processes Agile methodology transfer from IT to manufacturing Environmental data collection systems
Arbana Kadriu is a Full Professor at the Faculty of Contemporary Sciences and Technologies of South East European University , with a full-time academic engagement since 2019. She previously held academic positions as Associate Professor (2013-2019), Assistant Professor (2008-2013), and various educational roles dating back to 1998. PhD in Computer Sciences (2008) from Faculty of Natural Sciences and Mathematics, Institute of Informatics, Ss. Cyril and Methodius University MSc in Electrical Technical Sciences (2002) from Electrotechnical Faculty, Ss. Cyril and Methodius University Engineer of Informatics (1997) from Faculty of Natural Sciences and Mathematics, Institute of Informatics, Ss. Cyril and Methodius University Her research focuses on Natural Language Processing , VR/AR in education , E-Learning systems , and gender gap analysis in computer science . Her recent publications analyze authorship attribution in Albanian texts, ethno-fusion music datasets, and educational technology trends, while historic work includes text classification and bibliometric studies. Arbana's academic contributions include 40+ publications across diverse topics: Albanian language processing Virtual/Augmented Reality applications Gender dynamics in computing Learning analytics Information retrieval systems Software engineering pedagogy
Artan Luma is a Full Professor at the Faculty of Contemporary Sciences and Technologies at South East European University in Tetovo, Macedonia. His career spans 20+ years in academia, focusing on cryptography, cybersecurity, and blockchain technologies. He has held leadership roles such as Deputy Director of the e-Learning Center since 2005. PhD in Computer Sciences (SEEU, 2010) MSc in Electrical Engineering Science (State University of Prishtina, 2007) Engineer of Informatics (State University of Tetova, 2002) Luma's research bridges theoretical and applied domains, including blockchain-based academic credential verification , IIoT cybersecurity frameworks , and data mining for curriculum-job market alignment . His recent publications highlight smart contract implementations and machine learning-enhanced security systems . As a co-author, Luma collaborates with researchers like Halil Snopce, Azir Aliu, and Ylber Januzaj. His work appears in journals such as IEEE, SAR Journal, and TEM Journal, with a 2025 article on test coverage analysis.
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.
Ermira Idrizi is an Assistant Professor at the Faculty of Technical Sciences , South East European University. With expertise in Educational Technology and Artificial Intelligence in Education , her work focuses on adaptive learning systems, online learning analytics, and gender differences in STEM education. She also explores applications of IoT in Agriculture and Cyberbullying Detection in social networks. Languages: English (C2), German (C2) Engagement: Full-time faculty Her research spans Explainable AI for educational applications, Learning Styles (VARK model), and Hybrid Learning frameworks developed during the post-pandemic transition. Recent work includes predictive models for smart agriculture using IoT sensor data and classification systems for cyberbullying detection in social networks. Ermira's publications emphasize data-driven pedagogical approaches , analyzing success indicators in online learning environments, and developing web-based tools for assessing teachers' digital competencies. Her interdisciplinary work bridges Machine Learning with Educational Psychology , focusing on personalized learning experiences.
Shqipe Salii is an Assistant Professor at the Faculty of Contemporary Sciences and Technologies, South East European University. Her research focuses on Virtual Reality (VR) , Augmented Reality (AR) , and Microservice Architecture , with publications addressing geospatial technology applications and software development challenges. 2025: Geospatial XR for Disaster Response 2023: Microservice Architecture Migration 2022: VR/AR Chapters and Unity Development Her work emphasizes XR applications , disaster response systems , and software scalability . No awards, students, or additional affiliations are explicitly mentioned in available data.
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.
Magdalena Kostoska is an Assistant Professor at the Institute of Informatics, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje. She holds BSc (2006) and MSc (2010) degrees from the same institution, both mentored by Prof. Marjan Gusev. Her professional experience includes roles as a programmer/business analyst at Ultra company (2006–2007) and academic positions at the Institute since 2007. Research Focus Her expertise spans software engineering and information systems, with emphasis on: Software design/architecture and requirement analysis Database systems and data mining Human-computer interaction and mobile technologies Teaching She teaches courses including Software Construction, Data Structures, Data Mining, and Wireless Technologies.
