Computer Engineering Professors and Supervisors in Macedonia | ApplySharif

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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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Kokolanski ZhivkoView profile

Researcher

University of SkopjeMacedonia

Zivko Kokolanski is a researcher at the Institute for Electrical Measurements and Materials at the Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje (UKIM). He holds a PhD in Electrical Engineering (2013), Master's (2010), and Bachelor's (2007) degrees from FEIT. His research focuses on data acquisition systems, programmable instrumentation, ionizing radiation measurement, and X-Ray Fluorescence. He has conducted international research visits at TU Ilmenau (Germany) and AGH Krakow (Poland), and collaborated with the IAEA on cultural heritage analysis. Key contributions include advancements in sensor-microcontroller interfaces, calibration techniques, and smart grid metering. His work emphasizes improving measurement accuracy and reducing uncertainty in embedded systems. He has authored/co-authored over 25 publications in peer-reviewed journals and conferences, focusing on sensor signal conditioning, real-time data acquisition, and metrological performance optimization. Current affiliations include the Institute for Electrical Measurements and Materials, where he contributes to teaching and applied research in electrical measurements and materials science. His lab activities involve developing cost-effective, high-precision measurement systems for industrial and academic applications.

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Zlatkova AleksandraView profile

Assistant Professor

University of SkopjeMacedonia

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.

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Chundev MilanView profile

Associate Professor

University of SkopjeMacedonia

Chundev Milan is an Associate Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of Ss. Cyril and Methodius University in Skopje. His affiliation includes academic roles within the university's organizational structure. Contact information is available via mcundev@feit.ukim.edu.mk . Affiliations: Associate Professor at FEIT Research interests are not explicitly detailed in the provided text, but given his faculty affiliation, potential fields include electrical engineering, computer science, and information technologies. Specific focus areas remain unspecified. No scientific awards, recent articles, or grants are mentioned in the text. No lab affiliations or teams are noted.

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Dimirovski GeorgiView profile

Professor

University of SkopjeMacedonia

Dimirovski Georgi is a Professor at the Department of Control and Systems Engineering, Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University of Skopje. His research focuses on advanced control systems, neural networks, cyber-physical systems, and computational cybernetics. He has extensively contributed to theoretical and applied aspects of switched systems, nonlinear control, fault-tolerant mechanisms, and networked control systems. His work integrates methodologies such as Lyapunov theory, adaptive control, and reinforcement learning to address complex challenges in robotics, aerospace, and industrial automation. Recent studies emphasize resilient control under adversarial attacks, optimal resource allocation, and synchronization of dynamic systems. Key research trends include: (1) developing robust control strategies for systems with time-delays and uncertainties, (2) enhancing cybersecurity in cyber-physical systems through deception attack detection and mitigation, and (3) advancing machine learning techniques for real-time system estimation and prediction. Dimirovski has published over 200 peer-reviewed articles, with recent contributions appearing in top journals and conferences. His work frequently explores intersections between control theory and artificial intelligence, particularly in applications requiring safety-critical performance guarantees.

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Georgieva VerkaView profile

Associate Professor

University of SkopjeMacedonia

Georgieva Verka is an Associate Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT), University 'St. Cyril and Methodius', Skopje. She holds a PhD in Physics (1992–1999), MSc (1982–1991), and BSc (1974–1979) from the Faculty of Natural Sciences and Mathematics, Institute of Physics. Her career spans over four decades, including roles as Assistant Professor (2000–2005), Assistant (1992–2005), and Junior Assistant (1981–1992). She also served as a Physics teacher in secondary education (1979–1981) and spent time abroad (1983–1985). Her expertise lies at the intersection of Electrical Engineering and Physics, with a focus on theoretical and applied research. Education and computational methods in physics are key areas of her academic contributions. She has maintained an active role in teaching and research at FEIT since 2005. Contact: vera@feit.ukim.edu.mk , Phone: +389 2 3099174.

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Aristotel TentovView profile

Professor

University of SkopjeMacedonia

Dr. Aristotel Tentov is a Full Professor at the Faculty of Electrical Engineering, Computer Science Department of the University 'St. Kiril i Metodij' in Skopje, Macedonia. He holds a Ph.D. in Computer Science (1994), M.S. (1989), and B.S. (1983) from the same university. His career spans over three decades, progressing from Research Assistant (1985) to Assistant Professor (1994), Associate Professor (1999), and Full Professor (2004). His research encompasses Computer Architectures Multiprocessor Systems Networking (Wired/Wireless/ATM) Embedded Systems RFID Process Control Dr. Tentov authored/co-authored over 20 scientific papers and technical reports, with notable work on TCP performance modeling (2000–2001) and double-loop network analysis (1990s). Projects include NATO fighter avionics integration (1991) and EU-funded HeliNet stratospheric network design (2001). He led multiple industrial projects including control systems for zinc smelters, university computer networks, and the Macedonian Rosetta Stone deciphering initiative (2003–2005). His work bridges academic research with practical industrial solutions.

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Halil SnopçeView profile

Professor

South East European UniversityMacedonia

Halil Snopçe is a Part-Time Full Professor at the Faculty of Contemporary Sciences and Technologies within South East European University . His academic and professional work spans applied mathematics , blockchain technology , cybersecurity , and parallel computing . Doctor in Computer Science and Applied Mathematics (2007-2011), SEEU Master in Mathematics (2003-2007), University of Tirana Bachelor in Mathematics (1992-1997), St. Cyril and Methodius University Snopçe’s research focuses on mathematical transformations , systolic arrays , and blockchain applications in education and credentials verification. His work also addresses cybersecurity challenges , data mining , and parallel processing for computational efficiency. Recent publications highlight trends in blockchain technology for academic systems, parallel algorithms , and educational technology during the pandemic. His applied mathematics contributions include numerical analysis and linear algebra solutions. Snopçe has no listed scientific awards in the provided information. He has collaborated on student advising and interdisciplinary research projects, though specific advisees are not detailed.

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Suzana LoshkovskaView profile

Professor

University of SkopjeMacedonia

Suzana Loshkovska, PhD , is a Full Professor at the Faculty of Computer Science and Engineering of Ss. Cyril and Methodius University in Skopje , Macedonia. Since 1992 she has held continuous academic appointments, interrupted only by a visiting-researcher stay at the Academy of Sciences of Lower Austria (1993–1994) where she designed a medical information system for Krems Hospital. Education : BSc (1989) and MSc (1992) in Computer Science and Automation, Faculty of Electrical Engineering, Skopje PhD (1995) in Technical Sciences, Technical University of Wien, Austria Research Interests span programming, visualization, human–computer interaction, virtual reality, medical imaging, and modelling/visualization of medical processes. Her work integrates advanced algorithmic techniques—such as hierarchical multi-label classification, support-vector machines, predictive clustering trees, and Bayesian networks—into practical medical and multimedia applications. Across more than one hundred peer-reviewed publications, her recent articles concentrate on content-based medical image retrieval , annotation of medical images , visual concept detection , and interactive medical systems . These contributions collectively advance computer-aided diagnosis, clinical decision support, and efficient management of large-scale medical data sets. Scientific Awards & Recognition : Member, Editorial Board, INFORMATICA (international journal, Slovenia) Projects & Funding : Principal investigator or participant in bilateral and EU-funded projects including SEE-ERA.NET Plus, TEMPUS DL@WEB, TEMPUS M.Sc. E-Learning, and multiple Macedonian Ministry of Science grants covering medical imaging, environmental modelling, distance learning, and electromagnetic-effects visualisation. While no specific research group or laboratory name is provided, her sustained involvement in national and international projects indicates active leadership within the university’s medical-informatics and multimedia-research community.

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Simona SamardzhiskaView profile

Associate Professor

University of SkopjeMacedonia

Simona Samardzhiska, Ph.D., is an Associate Professor at the Department of Computer Science and Engineering, Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje. Her academic work focuses on cryptography, network and information security, algorithm design, and data mining, alongside contributions to machine learning and artificial intelligence. Her research spans both theoretical and applied aspects of computer science, particularly in cybersecurity and algorithmic innovation. She has supervised 14 Ph.D. students and over 20 master's students, contributing significantly to academic mentorship. She is affiliated with the Laboratory of Cryptography and Security Technologies, advancing practical applications in security protocols. Her scholarly achievements include awards such as the 'Young Researcher' recognition from her university in 2007. Major Awards: Young Researcher award (2007)

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Andreja NaumoskiView profile

Professor

University of SkopjeMacedonia

Prof. Dr. Andreja Naumoski is a full professor at the Faculty of Computer Science and Engineering (FCSE) at Ss. Cyril and Methodius University in Skopje. Since 2009, he has contributed to teaching and research, leading courses in intelligent information systems and serving as head of the master’s program in Eco-Informatics and the Laboratory for Eco-Informatics since 2024. Focus areas: machine learning, GIS applications, environmental data modeling Specialties: Smart IoT systems, ecological modeling, data visualization His research emphasizes intelligent decision support systems applied to environmental domains, integrating GIS with machine learning for dynamic process prediction. He participated in international projects (Interreg IPA, Tempus, FP6) and authored over 100 papers in prestigious venues.

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Katarina Trojachanec DinevaView profile

Associate Professor

University of SkopjeMacedonia

Katarina Trojachanec Dineva, Ph.D. , is an Associate Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) , Ss. Cyril and Methodius University in Skopje , Macedonia. Since October 2008 she has been a full-time member of the Department of Computer Science and Engineering, following an initial appointment at the European University in Skopje. Education 2004–2008: B.Sc. in Computer Science and Engineering, FEIT, UKIM – graduated with perfect average (10.00/10.00). 2008–2010: M.Sc. in Computer Science and Engineering, FEIT, UKIM – thesis “Content Based Image Retrieval System for Magnetic Resonance Images” supervised by Prof. Dr. Suzana Loskovska. Research Interests Dr. Dineva’s research combines computer vision and data science, focusing on image processing , content-based image retrieval (especially for medical imaging), machine learning , and software engineering methodologies for scalable medical image systems. She develops algorithms that enable automatic indexing and similarity search in large MRI datasets, bridging the gap between signal-level processing and high-level knowledge discovery. Scientific Awards Engineering Ring – best student of the generation, awarded by the Engineering Institution of Macedonia. Gold Coin – best student of the generation, awarded by Ss. Cyril and Methodius University. Teaching & Advising Dr. Dineva teaches core and elective courses in image processing, machine learning and software engineering at both undergraduate and master levels. She holds weekly office hours every Thursday 13:00–15:00 in the FEIT Annex. Current and past master students conduct research under her supervision in the areas of medical image retrieval and deep-learning-based segmentation.

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