Computer Science Professors and Supervisors in Macedonia | ApplySharif

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جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۱-۱۵ از ۱۴۸ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Boro Jakimovskiمشاهده پروفایل

استادیار

University of SkopjeMacedonia

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.

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Ismail Zejneliمشاهده پروفایل

استاد

South East European UniversityMacedonia

Ismail Zejneli is a Full Professor at the Faculty of Law, South East European University (Tetovo, Macedonia), where he has been employed since 2002. His career includes administrative roles such as Vice-Dean (2002-2003, 2005-2007), Acting Dean (2007-2008), Dean (2008-2014), Pro-Rector for Academic Affairs (2014-2015), and ongoing membership in the Doctoral School since 2019. Education: PhD in Juridical Sciences (Faculty of Law, Prishtina, Kosovo, 2001-2005) Zejneli’s research focuses on criminal law, organized crime, judicial systems, cybercrime, human rights, and legal reform. His work spans comparative jurisprudence, procedural fairness, and policy implementation in transitional societies. Recent publications analyze topics like cybercrime evidence management, plea agreements, economic crime dynamics, and the criminal liability of legal entities. His 15 most recent articles (2016-2025) address criminal law, cybercrime, judicial reform, and cross-border legal cooperation. Trends include post-pandemic crime analysis, comparative legal frameworks, and challenges in extradition and organized crime prevention. He contributes to academic discourse through journals such as VISIONS , JUSTICIA , and SEEU Review , emphasizing regional legal systems (Republic of Kosovo, Republic of Macedonia) and transnational issues.

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Risteski Aleksandarمشاهده پروفایل

استاد

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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Krleski Aleksandarمشاهده پروفایل

استاد

University of SkopjeMacedonia

Krleski Aleksandar is a Professor affiliated with the Faculty of Electrical Engineering and Information Technologies (FEIT) at Ss. Cyril and Methodius University in Skopje. His professional activities are centered within the academic staff of FEIT, where he contributes to teaching and research. While specific research interests are not explicitly detailed in the provided text, his affiliation with FEIT suggests a focus on technical disciplines such as electrical engineering, computer science, and information technologies. No publications, awards, or grants are listed in the available information.

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Marika Apostolova Trpkovskaمشاهده پروفایل

دانشیار

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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Kosta Sotiroskiمشاهده پروفایل

استاد

Saint Clement of Ohrid University of BitolaMacedonia

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.

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Blerta Abazi Chaushiمشاهده پروفایل

دانشیار

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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Katerina Ralevaمشاهده پروفایل

استاد

University of SkopjeMacedonia

Physics of Semiconductor Devices
Semiconductor Device Modeling
Monte-Carlo Particle-Based Device Simulation
+۵ مورد دیگر

Katerina Raleva is a Full Professor at the Institute of Electronics, Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje, Republic of Macedonia. Her research focuses on semiconductor device physics, Monte Carlo simulations, and thermal effects in nanoscale devices. She holds a Ph.D. (2008) and M.Sc. (2002) in Electrical Engineering from her university, with a B.Sc. (1991) equivalent to an MS in the U.S. Her research interests include semiconductor device modeling, electronic circuit simulations, and nanotechnology. Collaborators include prominent figures like Dragica Vasileska (ASU) and Stephen M. Goodnick (ASU). She has authored books on self-heating effects in nanoscale devices and contributed chapters to handbooks on optoelectronic device modeling and nanophotonics. Raleva’s publications emphasize electrothermal modeling, phonon dissipation, and Monte Carlo simulations. Her work addresses critical challenges in nanodevice thermal management and high-performance electronics. She is involved in educational initiatives using cloud-based tools for microelectronics learning. Her affiliations include collaborations with TU Vienna, HEIG-VD Switzerland, and other institutions. Research labs and teams focus on nanoelectronics, semiconductor device simulation, and thermal modeling applications.

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Kiril Kocevمشاهده پروفایل

استاد

University of SkopjeMacedonia

Kiril Kocev is a Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) within Ss. Cyril and Methodius University of Skopje. His affiliation is confirmed via the institutional email address kkocev@feit.ukim.edu.mk. No explicit details on his research interests, educational background, or specific academic contributions are provided in the text. He is listed under active faculty members, as his name does not appear in retired or memoriam sections. The faculty's structure includes categories like Full Professors and Associate Professors, suggesting his role aligns with senior academic leadership.

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Jaumin Ajdariمشاهده پروفایل

استاد

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 Chorbevمشاهده پروفایل

استادیار

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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Goce Arsovمشاهده پروفایل

استاد

University of SkopjeMacedonia

Goce Arsov is a Full Professor at the Department of Electronics, Faculty of Electrical Engineering, University 'St. Cyril and Methodius' in Skopje. He has held academic positions since 1971, progressing from Assistant to Full Professor by 1997. His research focuses on power electronics, semiconductor device modeling, and control systems. He has authored numerous publications, including influential works on cycloconverters, PSpice modeling, and switched-capacitor converters. His work bridges theoretical analysis and practical applications in energy systems and automotive electronics. Education: Doctor of Technical Sciences (1992), Faculty of Electrical Engineering, Skopje. Master of Science in Electrical Engineering (1983), University of Belgrade. Diploma in Electrical Engineering (1970), Faculty of Electrical Engineering, Skopje. Research Interests: Prof. Arsov specializes in power electronic systems, semiconductor device modeling, and advanced converter topologies. His work emphasizes practical implementations in automotive systems, renewable energy, and industrial drives. Key areas include cycloconverter control, switched-capacitor circuits, and PSpice-based simulation models. Recent Research Trends: His articles from 2000–2004 highlight advancements in automotive power supplies, bidirectional converters, and fuel-cell applications. Earlier work (1990–1999) focused on triac/BJT modeling and cycloconverter optimization. His contributions span both theoretical and applied aspects, with a focus on energy efficiency and system reliability. Grants and Advising: While specific grants are not listed, his extensive publications suggest sustained research funding. No explicit student advising details are provided. Labs/Teams: Active in the Institute of Electronics at his faculty, collaborating with researchers on semiconductor device analysis and power system design.

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Hadzhi-Velkova Saneva Katerinaمشاهده پروفایل

استاد

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 Danielمشاهده پروفایل

دانشیار

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 Bojanaمشاهده پروفایل

دانشیار

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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