Computer Engineering Professors and Supervisors in Macedonia | ApplySharif

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Boro JakimovskiView profile

Assistant Professor

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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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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Krleski AleksandarView profile

Professor

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 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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Blagoja MarkovskiView profile

Assistant Professor

University of SkopjeMacedonia

Blagoja Markovski is an Assistant Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje. He holds a PhD (2019), MSc (2012), and BSc (2009) in Electrical Engineering from FEIT. His research focuses on electromagnetic compatibility, grounding systems analysis, lightning protection, and power systems engineering. He has contributed to projects assessing electromagnetic impacts on infrastructure and public exposure to electromagnetic fields from energy equipment. His work emphasizes the analysis of grounding systems under lightning and transient conditions, with applications in transmission lines, wind turbines, and pipelines. He has developed novel methodologies for efficient grounding system analysis using circuit models, GPU parallelization, and analytical approximations. His recent studies include optimizing grounding configurations for communication towers and evaluating human exposure near high-voltage systems using finite-element methods. Collaborations span international conferences and industry projects, addressing challenges in electromagnetic compatibility and renewable energy systems. His publications span IEEE journals and conferences, focusing on grounding systems, lightning protection, and computational electromagnetics.

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Katerina RalevaView profile

Professor

University of SkopjeMacedonia

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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Shuminoski TomislavView profile

Researcher

University of SkopjeMacedonia

Shuminoski Tomislav is a researcher at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, North Macedonia. He holds a PhD in Electrical Engineering and Information Technologies (2016) with a dissertation on 5G QoS mechanisms and vertical multi-homing. His academic background includes a Master’s (2010) and Bachelor’s (2008) in Telecommunication, both with perfect grades. He specializes in telecommunications, cybersecurity, and next-generation mobile networks, focusing on QoS optimization, 5G infrastructure, and secure communication frameworks. Education: PhD, 2016: Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies (Dissertation: “QoS Mechanisms and Vertical multi-homing for 5G Mobile and Wireless Networks”) M.Sc., 2010: Telecommunication, Module: Communication and Information Technologies B.Sc., 2008: Telecommunication Research Interests: His work spans 5G networks, mobile edge computing, cybersecurity, IoT security, QoS provisioning, and blockchain applications in cloud computing. He emphasizes practical implementations of theoretical models in real-world scenarios, such as emergency response systems and ultra-reliable low-latency communication. Publications: Over 30 peer-reviewed articles since 2009, including innovative papers on 5G frameworks, secure communication platforms, and steganographic techniques. Recent work focuses on AI-driven resource allocation and quantum-resistant cryptography for IoT. Awards/Grants: No specific awards mentioned, but active in collaborative industry projects on network security and cloud infrastructure. Labs/Teams: Associated with the Telecommunications Institute at FEIT, contributing to research on wireless networks and critical infrastructure systems.

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Gavrilovska LiljanaView profile

Associate Professor

University of SkopjeMacedonia

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.

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Kiril KocevView profile

Professor

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 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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Goce ArsovView profile

Professor

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 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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