Hasan Jashari is a Full Professor (part-time) at the Faculty of Contemporary Social Sciences, South East European University. His academic journey includes a PhD in Sociology of Education and Family from Saint Cirillius and Methodius University (1999-2001), building on earlier degrees in Sociological Sciences and Sociology. His research focuses on: Political pluralism in post-communist societies Sociology of education systems Interethnic relations in the Balkans Methodologies in doctoral research Publications over the past decade demonstrate consistent focus on social transformation in Macedonia, with recurring themes of educational reform, political transitions, and research methodology. His most recent work examines data collection techniques in doctoral studies. No awards, students, or grants information was available in the source material.
Dr. Irena Avirovic Bundalevska is an Associate Professor at the Institute of Family Studies, Faculty of Philosophy, Ss. Cyril and Methodius University in Skopje. She holds a PhD in Historical Sciences (2013) from the same university, specializing in Balkan migration histories. Her academic career includes roles at the Institute of National History as an assistant researcher and teaching positions at the American College in Skopje. Key qualifications include a Master's in International Relations from the University of Bologna (2009) and a Philology degree from the Faculty of Philology (2006). She serves as National Coordinator for the European Family Network (COST Action 18123) and speaks English, Italian, Spanish, with proficiency in German and Russian. Research Focus Cultural shifts in Balkan societies during the 20th century Ethnic minorities' migration patterns Family dynamics influenced by religious institutions Impact of multicultural policies on family structures Her work explores historical migration (e.g., Macedonian emigration to the U.S.), contemporary cohabitation trends, and institutional frameworks affecting family welfare. Recent publications analyze disability-inclusive family policies and UN family initiatives, reflecting her interdisciplinary approach bridging history, sociology, and policy studies. Awards & Grants No specific awards or grants mentioned in current records. Professional Networks Active participant in international conferences on social change and family studies. Collaborations include University Goce Delcev (Stip) and Macedonian Association of Marketing.
Boro Jakimovski is an Assistant Professor at the Institute of Informatics, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje. He specializes in Grid computing, High-performance computing, and Parallel and distributed processing, with significant contributions to international projects like the European Grid Initiative and SEE-GRID series. PhD in Informatics (2010) - Thesis: Modelling and verification of Grid workflows MSc in Informatics (2004) - Thesis: Communications in Grids BSc in Informatics (2000) - Graduated top of class His research focuses on optimizing computational grids through adaptive workflows and genetic algorithms. He teaches courses such as Distributed Operating Systems and Software Construction, while previously tutoring foundational informatics topics including Algorithms and automata, Data structures, and Parallel processing. Publications span 18 international conferences and 1 journal article, with a notable awarded paper at MII 2003 . Key projects include FP7 coordination for Pan-European infrastructure and leadership in SEE-GRID initiatives as Grid Infrastructure Manager for Macedonia. Scientific Awards : Awarded paper at MII 2003 International Conference Grants : Participated in 15+ international projects (FP6, FP7, TEMPUS, UNESCO, DAAD, INTERREG III) International Engagement : Lectured at 20+ workshops, visited 10+ universities/summer schools Specializations include Grid infrastructure development, having completed professional visits to institutions like CERN (Switzerland), Humboldt University (Germany), and Software Technology Research Laboratory (UK). He chairs Macedonia's coordination in European Grid Initiative projects and contributes to curriculum development across SEE countries.
Muazam Halili is an Associate Professor at the Faculty of Law of Southeast European University , working on a part-time basis. His research focuses on economic crime , corruption , and criminalistics , with expertise in document forgery detection , public administration reforms , and interinstitutional cooperation . Contact: m.halili@seeu.edu.mk . Research Interests : Economic crime dynamics, corruption analysis, forensic investigation, environmental criminality, human trafficking, and public sector legal frameworks. Publications Trends : Recent works emphasize regional crime patterns in Tetovo (2024), EU accession challenges due to corruption (2024), and the role of financial intelligence agencies (2023). Earlier studies include polygraph use (2020), economic crime identification (2019), and administrative corruption in Kosovo (2015). Scientific Awards : No awards explicitly mentioned. Advising & Grants : No students or funding details provided.
Professor Risteski Aleksandar holds a Ph.D. in Telecommunications and has been a faculty member at the Faculty of Electrical Engineering and Information Technologies, University Ss. Cyril and Methodius, since 1996. He currently serves as a Professor and has held roles including Vice-Dean for Science and International Cooperation (2008–2016). His research focuses on telecommunications, cybersecurity, blockchain applications in education, and IoT security. He has extensive industry experience, including internships at IBM T.J. Watson Research Center in the U.S. Education: Ph.D. in Telecommunications (2001–2004) M.Sc. in Telecommunications (1997–2000) Dipl. Ing. in Electronics and Telecommunications (1991–1996) Research Interests: Blockchain technology for academic credential verification Cybersecurity in tactical communication systems IoT energy efficiency and reliability Network intrusion detection using deep learning Anti-forgery systems using AI and blockchain Publications Trends: Over 50 publications since 2000, with recent focus on blockchain applications in education, cybersecurity frameworks for 5G networks, and IoT energy optimization. His work bridges theoretical advancements with practical implementations in telecommunication infrastructure. Awards: No specific awards listed, though his contributions to blockchain-based educational systems and cybersecurity research are notable. Advising & Grants: No listed students, but active in research projects funded by industry partnerships. Collaborations include IBM Research and initiatives in Macedonia's telecommunication sector. Labs/Teams: Affiliated with the Institute of Telecommunications at his faculty, focusing on network security and emerging technologies.
Prof. Lidija Georgieva is a Full Professor at the Institute for Security, Defence and Peace, Faculty of Philosophy, Ss. Cyril and Methodius University of Skopje. Born in 1960, she earned her PhD in 1997, focusing on collective security mechanisms. She held academic leadership roles including Head of the UNESCO Department of Intercultural Studies and Horizon 2020 project leader (2018–present). Her research spans peacebuilding, conflict resolution, and Balkan social dynamics. She speaks English and has held visiting roles at Open University. Education: Philosophy degrees from UKIM (1984–1994), doctoral work on collective security Key Projects: V4 Fund (2014–2019), TEMPUS coordinator (2009–2013) Teaching: Leads courses on peace theory, European security, and conflict analysis Research interests include gender aspects of security, religion-conflict linkages, and welfare states in Southeast Europe. Over 40 publications include monographs on conflict resolution and NATO-Macedonia relations. Recipient of 2001 Fulbright Scholarship for political science research at University of Maryland. Awards: Fulbright postdoctoral fellowship (2001) Grants: Horizon 2020 (RETOPEA), V4 Fund, TEMPUS Led the Center for Intercultural Studies (2012–2017) and co-authored studies on peace education in the Balkans. Active in defense efficiency analysis using DEA methodologies. Her work integrates quantitative methods with qualitative conflict studies.
Blerta Abazi is an Associate Professor at the South East European University (SEEU), Faculty of Business and Economics, where she has been employed since 2008. She holds a PhD in Economic Sciences (2017) from SEEU, an MSc in Information Systems (2007) from Indiana University, and a BA in Business Administration (2005) from SEEU. Her research focuses on Information Systems in Higher Education , including ERP implementation challenges, digital transformation, and AI in education. She has also investigated the impact of public spending on North Macedonia’s GDP and the efficacy of managerial skills in SMEs. Research Highlights: Dr. Abazi has authored over 50 publications, including studies on ERP systems in universities, the role of AI in educational outcomes, and the digitalization of libraries. She co-authored a 2025 Springer publication tracing the evolution of enterprise systems and led a 2024 analysis of public sentiment toward digital transformation. Her work often bridges technology adoption and institutional effectiveness. Professional Roles: As Program Coordinator for the ISM Dual Degree Program (2009–2013), she managed student admissions and academic partnerships with the University of London. Her teaching spans economics, information systems management, and e-commerce. She has held roles as a Systems Analyst at Indiana University and Advisor to the Macedonian Ministry of Economy. Languages: Albanian (native), Macedonian (C2), English (C2), Turkish (B1), Spanish (A2).
Marika Apostolova Trpkovska is an Associate Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, Macedonia). Her academic work spans cybersecurity, blockchain technology, and educational technology with a focus on Industrial IoT security, semantic web applications, and digital learning systems. PhD in Computer Science (Specialty: e-Medical Services based on Semantic Web) MSc in Software Development and Applications BSc in Computer Sciences Her research covers cybersecurity frameworks for Industrial IoT, blockchain applications in public administration, and educational technology innovations including VR/AR integration and gamification. She has published extensively in international conferences and journals on these topics, with recent works focusing on machine learning-enhanced security protocols and decentralized real estate management systems. Current publications (2023-2024) highlight her expertise in IIoT security standards, smart contract development using Ethereum/IPFS, and cybersecurity threat modeling. Earlier works examine e-learning systems implementation, gender disparities in CS research, and real-time operating system validation. She serves as part-time academic staff member while maintaining technical roles in learning management system administration (LIBRI, ANGEL) and teaching responsibilities across software engineering, algorithms, and programming disciplines.
Prof. Dr. Kosta Sotiroski is a Full Professor at the Faculty of Economics - Prilep, University 'St. Kliment Ohridski' - Bitola. He holds a PhD in Economics from the same institution (1998), with research focused on statistical modeling and production optimization. His academic roles include mentoring doctoral students in Marketing, Management, and Business Informatics, and serving as Secretary of the Doctoral Studies Committee. Education: Bachelor's in Mathematical-Statistical-Cybernetics (1986) Master's in Monte Carlo Simulation in Economic Management (1993) PhD in 'Modeling Optimal Organization of Production Processes' (1998) Research Interests: Business Informatics, ERP Systems, Big Data Technologies, Econometrics, E-Banking Services, and Statistical Process Control. His work emphasizes data-driven decision-making in economics and healthcare. Publications: Over 112 publications in areas like arterial stiffness in dialysis patients, e-learning adoption, and SME innovation. Recent trends focus on healthcare analytics and cloud computing in education. Awards & Grants: Involved in EU-funded projects such as TEMPUS and CARDS initiatives. Recognized as a top-ranked scientist in Macedonia for contributions to economics and management science. Labs/Teams: Leads research in Business Informatics and Data Analytics. Active in editorial roles for journals like Strategic Management and International Journal of Economics, Politics, Humanities & Social Sciences.
Blerta Abazi Chaushi is an Associate Professor at the Faculty of Business and Economics of the South East European University (SEEU) in Tetovo, North Macedonia. With a PhD in Economic Sciences (2017) and an MSc in Information Systems (2007), she combines expertise in economics and technology to study Information Systems , Artificial Intelligence in Education , and Digital Transformation in academic and public sectors. PhD in Economic Sciences (2012-2017), SEEU MSc in Information Systems (2006-2007), Indiana University BA in Business Administration (2001-2005), SEEU Her research focuses on ERP Systems , AI in Education , and Public Finance Analysis , with recent work examining the intersection of Agile Methodology , Digital Transformation , and Student Satisfaction in online learning environments. She has co-authored 15 recent publications spanning topics like Public Spending Impact , Business Analytics , and Emerging Technologies in SMEs . Blerta’s work bridges technology and policy, including studies on Microsoft Teams for Virtual Collaboration and AI Ethics in Academic Administration . Her career includes roles as a Systems Analyst at Indiana University and Program Coordinator for SEEU’s dual-degree program with the London School of Economics.
Jaumin Ajdari is a Full Professor at the Faculty of Contemporary Sciences and Technologies at South East European University in Tetovo, Macedonia. He holds a Doctor of Mathematical Sciences degree from the University of Tirana, with a focus on parallel processing and orthogonal wavelet transforms. Education: PhD in Mathematical Sciences (University of Tirana, 2011), MSc in Mathematics (University of Tirana, 2006), MSc in Mathematics (University of Zagreb, 1993), Engineer in Applied Mathematics (University of Zagreb, 1993) His research spans parallel computing , machine learning , database systems , IoT applications , and natural language processing , particularly for low-resource languages. His recent publications focus on predictive modeling, smart agriculture using IoT, cloud computing challenges in education, and hate speech detection in Albanian social media. Key article trends include: Machine learning applications in education and agriculture Cloud computing adoption studies IoT sensor data analysis NLP for Balkan languages Database optimization techniques Parallel algorithm implementations
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.
Dr. Aleksandar Stojkov is a Full Professor at the Ss. Cyril and Methodius University in Skopje, affiliated with the Faculty of Law under the Department of Economic Sciences. His teaching spans first-cycle courses in Economics (Legal Studies), second-cycle courses like Business Finance and Economics of Intellectual Property, and third-cycle studies on Public Debt Management. Academic Rank: Professor Department: Economic Sciences Teaching Subjects: Economics, Business Finance, Public Debt Management Contact: a.stojkov@pf.ukim.edu.mk His research focuses on European integration, public debt dynamics, shadow banking, and monetary policy. He employs empirical models like panel cointegration and structural entropy analysis, with recent work on Western Balkans' EU prospects and real-time data applications in trade economics. Recent publications highlight trends in EU integration challenges, fiscal prudence mechanisms, and the interplay between macroeconomic factors and financial systems in Central/Eastern Europe.
Prof. Dr. Katerina Hadzhi-Velkova Saneva is a Full Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University of Skopje. She holds a Doctorate in Mathematical Sciences (2008) from the Faculty of Natural Sciences and Mathematics, Skopje, under supervision of Academician Stevan Pilipović. Her academic career includes roles as Associate Professor (2013–2018), Assistant Professor (2008–2013), and Assistant (2004–2008). Her research focuses on Mathematical Analysis, Functional Analysis, Wavelet Analysis, and Distribution Theory. Key areas include asymptotic behavior of distributions, time-frequency analysis, and applications of integral transforms like the Stockwell transform and Gabor frames. She has contributed to nonparametric regression techniques and numerical solutions of differential equations using wavelet methods. Prof. Saneva has authored over 30 peer-reviewed journal articles and conference papers, with recent work emphasizing directional time-frequency analysis and Tauberian theorems. She actively collaborates internationally, participating in projects on asymptotic analysis, frame theory, and microlocal analysis. Notable collaborations include bilateral projects with Austria, Serbia, and China. Her teaching spans graduate and undergraduate courses in mathematical analysis, distributions, and applied mathematics. She mentors students in thesis research and leads FEIT’s mathematical research initiatives. Current projects include theoretical advancements in asymptotic analysis and practical applications in signal processing and mathematical modeling.
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.
