جستجوی استاد راهنمای دانشگاهی

Prof. Dr. Karolina Ilieska is a Full Professor at the Faculty of Economics in Prilep, Ss. Cyril and Methodius University in Skopje. She specializes in Marketing, Market Research, Marketing Information Systems, and Service Marketing. Her academic career includes international collaborations through study stays at institutions like the University of Rennes 1 (France), the University of Nice Sophia Antipolis (France), and the Free University of Brussels (Belgium). She has authored/co-authored influential textbooks such as 'Marketing Research' and 'Marketing Information System.' Her research focuses on strategic marketing management, digital transformation in consumer behavior, and service marketing strategies. She has participated in over 100 international conferences, symposiums, and projects, including Tempus-Fare initiatives. Her work emphasizes customer satisfaction, CRM strategies, and leveraging digital tools for SMEs' competitiveness. Prof. Ilieska has published 27 papers in international journals and 11 in proceedings. Her recent articles address digital marketing trends, service business models, and sustainable marketing practices. She contributes actively to academic boards, including the 'Marketing & Management in New Europe' journal and the Romanian geopolitics journal 'GeoPolitika.' Her advisory and grant activities include leading educational seminars on marketing systems and strategic management. She has fostered cross-border academic partnerships through visits to universities in Bulgaria, Greece, and France. Her work bridges theoretical marketing principles with practical applications in global and regional contexts.

• Marketing
• Market Research
• Marketing Information Systems
• +۳ مورد دیگر

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).

• Information Systems
• Higher Education Management
• Public Economics
• +۳ مورد دیگر

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.

• Cybersecurity
• Blockchain Technology
• Industrial Internet of Things (IIoT)
• +۴ مورد دیگر

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.

• Information Systems
• Econometrics
• Business Economics
• +۴ مورد دیگر

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.

• Information Systems
• Artificial Intelligence in Education
• Digital Transformation
• +۷ مورد دیگر

Liljana Gavrilovska is an Associate Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of Ss. Cyril and Methodius University of Skopje (UKIM), specializing in the Department of Telecommunications. Her work focuses on advanced telecommunications systems, including 5G/Beyond 5G networks, mobile edge computing (MEC), blockchain applications in healthcare and IoT, cognitive radio networks, and network virtualization. She leads research groups addressing challenges in wireless resource management, energy efficiency, and distributed consensus mechanisms. Her research interests span telecommunications infrastructure , blockchain for healthcare systems , IoT optimization , and network slicing . Recent work includes developing the BloHeS consensus mechanism for blockchain systems and the Shapeshifter framework for MEC latency optimization. She also investigates dynamic spectrum allocation strategies and energy-efficient WuR-based IoT protocols. Publications emphasize practical implementations like the CHEST COPD e-Health platform and the FALCON project for virtualized network resource allocation. While no specific awards are listed, her contributions to open-source solutions like eWALL and SmartWine reflect industry engagement. Advising activities and grants are not explicitly detailed in the provided texts, though her involvement in EU projects like 5G-MEC and cognitive radio initiatives suggests significant collaborative work. Current projects include system design for blockchain-based public healthcare systems and analysis of heterogeneous network performance in LTE and DVB-T coexistence scenarios. She is actively involved in the FEIT Telecommunications Institute, contributing to both academic and applied research in telecommunications engineering.

• Telecommunications
• Mobile Edge Computing (MEC)
• Blockchain Technology
• +۸ مورد دیگر

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

• Parallel Processing
• Wavelet Transforms
• Machine Learning
• +۷ مورد دیگر

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.

• Combinatorial optimization
• Heuristic algorithms
• Constraint programming
• +۵ مورد دیگر

Dr. Zorica Bozinovska-Lazarevska is a Full Professor at the Department of Accounting and Auditing , Faculty of Economics , University "Sts. Cyril and Methodius" in Skopje. She teaches Auditing , State Auditing , Fraud Investigation , and Audit and Assurance across multiple study cycles. Master's Degree (1993), Faculty of Economics, Belgrade Doctorate (1999), Faculty of Economics, Skopje Research Interests: Internal Auditing ESG Assurance Sustainable Accounting Blockchain in Financial Reporting Fraud Detection Integrated Reporting Recent Research Trends: Her recent work focuses on adapting auditing to post-pandemic challenges, integrating sustainability into accounting education, leveraging big data for public sector auditing, and the role of internal auditors in ESG assurance. Articles analyze audit markets in North Macedonia, financial metrics impacting stock prices, and fraud investigation frameworks. Leadership Roles: Vice Dean for Finance (2005-2010), Head of Department of Accounting and Auditing (since 2013), and Head of Second Cycle Study Program in Accounting and Auditing (since 2013).

• Auditing
• Sustainability in Accounting
• Internal Auditing
• +۷ مورد دیگر

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.

• European Integration
• Public Debt Management
• Financial Economics
• +۷ مورد دیگر

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.

• Federated Learning
• Wireless Communication Systems
• Cognitive Radio Networks
• +۵ مورد دیگر

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.

• Machine Learning
• Healthcare Informatics
• Data Science
• +۳ مورد دیگر

Халил Снопче is a Regular Professor (part-time) at the Faculty of Modern Sciences and Technologies, South East European University (SEEU) in Tetovo, North Macedonia. He holds a Doctorate in Computer Science and Applied Mathematics from SEEU (2011), a Master's in Numerical Analysis from the University of Tirana (2007), and a Bachelor's in Mathematics from Ss. Cyril and Methodius University (1997). His academic roles include Deputy Assembly Member of North Macedonia (2020–present), Associated Professor (2016–2020), and various administrative positions like Pro-Dean for Administrative Issues (2008–2010). His research focuses on applied mathematics, parallel processing, blockchain applications in education, and determinant calculation algorithms. Over 20+ publications since 2016 span topics like blockchain-based academic credential verification, pandemic-era online education assessment, and computational mathematics optimizations. He has contributed to interdisciplinary projects such as a national research ranking platform and an automated job-market-university curriculum matching model. His professional experience includes 15+ years in education and research roles, including teaching at high school and university levels. He has held political roles such as Head of Gostivar Municipal Council (2000–2004). Fluent in Albanian (native), Macedonian (C2), Turkish (C1), and other languages, his work bridges technical innovation with societal challenges.

• Applied Mathematics
• Computer Science
• Blockchain Technology
• +۳ مورد دیگر

Prof. Toni Janevski is a Professor at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, Macedonia, and currently serves as Head of the Institute of Telecommunications (2023-2026). He holds a Ph.D. in Electrical Engineering from the same university (2001) and has extensive industry experience, including research at IBM T.J. Watson Research Center (2001) and roles in the Macedonian mobile sector (Mobimak/T-Mobile, 1996-1999). His academic career began in 1999 at his alma mater. Education: Diploma in Electrical Engineering (1996) M.Sc. in Electrical Engineering (1999) Ph.D. in Electrical Engineering (2001) His research focuses on Internet Technologies, Mobile/Wireless Networks, QoS, Cybersecurity , and Next-Gen Networks . He authored influential books like "NGN Architectures, Protocols and Services" (Wiley, 2014) and "QoS for Fixed and Mobile Ultra-Broadband" (Wiley-IEEE, 2019). He has won Macedonia’s highest science award, the Goce Delchev Award (2012) , and the university’s Best Scientist Award (2013) . Awards & Recognition: Senior Member, IEEE (2005) Elected Member of ITU’s GCBI (2019-2026) Established Macedonia’s ITU Centre of Excellence (2009) His recent work explores 6G networks, AI in telecom, IoT, and cloud-edge integration . He leads projects on energy-efficient 6G, future broadband services, and regulatory frameworks for AI-driven networks. Publications: Over 200 articles and 7 books, focusing on NGN, QoS, 5G/6G, and cloud telecom services. His 2024 work includes surveys on AI in telecom and comparative analyses of IoT/network technologies.

• Internet Technologies
• Mobile and Wireless Networks
• Next Generation Networks (NGN)
• +۷ مورد دیگر

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.

• Machine Learning
• Signal Processing
• Power Quality
• +۶ مورد دیگر