Machine Learning Professors and Supervisors in Macedonia | ApplySharif

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Risteski AleksandarView profile

Professor

University of SkopjeMacedonia

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.

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Blerta AbaziView profile

Associate Professor

South East European UniversityMacedonia

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).

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Marika Apostolova TrpkovskaView profile

Associate Professor

South East European UniversityMacedonia

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.

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Blerta Abazi ChaushiView profile

Associate Professor

South East European UniversityMacedonia

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.

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Jaumin AjdariView profile

Professor

South East European UniversityMacedonia

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

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Ivan ChorbevView profile

Assistant Professor

University of SkopjeMacedonia

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.

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Atanasko AtanasovskiView profile

Professor

University of SkopjeMacedonia

Prof. Atanasko Atanasovski is a Full Professor at the Department of Accounting and Auditing within the Faculty of Economics , St. Cyril and Methodius University in Skopje. His academic journey includes a PhD in Economics (2013) from the Faculty of Economics in Skopje and a Master's in Accounting and Finance (2010) from London College, University College Kensington. Educational Background PhD in Economics (2013), Faculty of Economics, Skopje Master's in Accounting and Finance (2010), London College Bachelor's in Economics (2004), Faculty of Economics, Skopje His research focuses on financial accounting, financial reporting, and accounting regulation, with recent work examining sustainability reporting, blockchain in assurance, and pandemic impacts on auditing. He has published over 20 scientific papers and served as a consultant to the World Bank on accounting and auditing policy in North Macedonia and the SEE region. His publications highlight interdisciplinary approaches to internal auditing education, ESG disclosures, and the role of emerging technologies like AI and blockchain in accounting. Current trends include regulatory compliance, audit market dynamics, and transparency frameworks. As an ACCA associate member since 2008, he contributes to professional standards. He has mentored students in accounting and auditing and maintains active collaborations on policy-related research.

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Hadzhi-Velkova Saneva KaterinaView profile

Professor

University of SkopjeMacedonia

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.

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Denkovski DanielView profile

Associate Professor

University of SkopjeMacedonia

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.

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Velichkovska BojanaView profile

Associate Professor

University of SkopjeMacedonia

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.

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Mennan SelimiView profile

Professor

South East European UniversityMacedonia

Mennan Selimi is a Full Professor at the Faculty of Contemporary Sciences and Technologies at South East European University (SEEU). His research focuses on Federated Learning, Edge Computing, Wireless Mesh Networks, and Decentralized Systems, with applications in IoT and resource-constrained environments. Position: Full Professor Affiliation: Faculty of Contemporary Sciences and Technologies, SEEU Contact: m.selimi@seeu.edu.mk Research Trends: Professor Selimi's work emphasizes adaptive machine learning frameworks for low-capacity devices, integration of LoRa technology in mesh networks, and decentralized edge infrastructure management. His recent publications highlight innovations in federated learning algorithms for wireless environments and experimental platforms for distributed AI research. Collaborations: He actively collaborates with researchers like Felix Freitag, Leandro Navarro, and Joan Miquel Sole across institutions in Italy, Montenegro, and Spain. His projects include the CityLab Testbed and LightKone Reference Architecture.

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Sasho JosimovskiView profile

Professor

University of SkopjeMacedonia

Dr. Sasho Josimovski is a Full Professor at the Department of E-Business, Faculty of Economics within the Ss. Cyril and Methodius University in Skopje, North Macedonia. He holds leadership roles as Head of the Department of E-Business and member of the Dean's Board. His academic journey includes a PhD in 1996 from the Faculty of Economics, with a thesis on statistical analysis of economic time series. He has extensive international collaborations, including stays at institutions like Charles University (Prague), Arizona State University (USA), and the University of Deusto (Spain). Education Background: Bachelor's in Informatics (1987) from Faculty of Electrical Engineering, Skopje Master's in Computer Science (1992) with thesis on fractal characteristics of economic models PhD in Economic Analysis (1996) Research Interests focus on e-business innovation, digital transformation, gamification in education/HEIs, and consumer dynamics in digital markets. He actively coordinates postgraduate programs like E-Business Management (distance learning) and European studies in integration/communications. His work bridges technology adoption in SMEs, supply chain management, and the impact of social media on business strategies. Recent studies explore Gen Z perceptions of gamification in public policy and AI's role in consumer e-business experiences. Professional Activities include: Coordinator of academic teams for postgraduate programs Leadership in curricula development for e-business and IT fields International advisory roles and visiting scholar appointments Labs/Teams: Actively involved in multidisciplinary teams advancing e-commerce solutions, gamification frameworks, and digital strategies for SMEs in developing economies.

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Zoran Hadzi-VelkovView profile

Professor

University of SkopjeMacedonia

Prof. Zoran Hadzi-Velkov is a Full Professor of Telecommunications Engineering at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University (Skopje, Macedonia). He holds a Ph.D. from the same institution and has held visiting positions at IBM Watson Research Center (USA) and Friedrich Alexander University Erlangen-Nuremberg (Germany). His research focuses on wireless communications, energy-efficient networks, and federated learning. He serves as Editor for IEEE Transactions on Communications, IEEE Communications Letters, and ITU Journal, and has reviewed projects for EU Framework Programs and the Science Fund of Serbia. Education: Dipl. Ing. (honors), M.Sc. (honors), Ph.D. in Electrical Engineering (Ss. Cyril and Methodius University) His research interests include wireless powered communications, cooperative systems, and resource allocation. Key contributions span energy harvesting networks, intelligent reflecting surfaces (IRS), and federated learning protocols. He has authored over 150 journal/conference papers and co-authored book chapters in wireless power transfer and communication systems. Awards include the Humboldt Fellowship (2012), Scientist of the Year (2013), and institutional recognitions for editorial excellence. He advises prominent students like Dr. Nikola Zlatanov (Monash University) and Dr. Ivana Nikoloska (TU Eindhoven). Professional activities include chairing the Macedonian IEEE Communications Society (2012-2015), participating in Berlin Process science initiatives, and delivering keynotes at global forums (e.g., Humboldt Kollegs series). Current projects involve wireless energy transfer optimization and cross-border academic collaboration in the Western Balkans.

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Toni JanevskiView profile

Professor

University of SkopjeMacedonia

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.

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Ojleska Latkoska VesnaView profile

Researcher

University of SkopjeMacedonia

Ojleska Latkoska Vesna is a Researcher at the Institute of Automation and Systems Engineering within the Faculty of Electrical Engineering and Information Technologies at the Ss. Cyril and Methodius University in Skopje. She holds a BSc in Electrical Engineering from the same university (2004). Her career includes roles such as Junior Assistant (2007–present) and Associate-Demonstrator (2005–2007) at the institute, alongside a stint as a programmer at VIGOUR spol. S r.o. in Prague, Czech Republic (2004–2005). Her research focuses on Fuzzy Logic , Machine Learning , Robotics , and Biomedical Engineering . Key areas include fuzzy logic-based algorithms for electrical load management, epilepsy detection using neuro-fuzzy systems, robotics path planning, and feature reduction techniques in biomedical signal analysis. She explores interdisciplinary applications, blending control systems with renewable energy optimization and human-machine interaction. Her publications reflect a trend toward algorithmic innovation in healthcare diagnostics, robotics, and industrial automation. Notable contributions include comparative analyses of heliostat field control algorithms and experimental studies on electrostatic discharge effects in networked systems. She is affiliated with the Institute of Automation and Systems Engineering, contributing to both theoretical research and practical implementations in automation.

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