Computer Security 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 ۵۴ استاد راهنما

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

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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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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Shuminoski Tomislavمشاهده پروفایل

پژوهشگر

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 Liljanaمشاهده پروفایل

دانشیار

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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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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Ismail Zeneliمشاهده پروفایل

استاد

South East European UniversityMacedonia

Ismail Zeneli is a Full Professor at the Faculty of Law of South East European University (SEEU) in Tetovo, Macedonia, with a career spanning over two decades. His roles include 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. Research Interests: Ismail Zeneli's work focuses on criminal law, organized crime, human rights, judicial reform, and comparative legal systems. His publications analyze juvenile delinquency, cybercrime, legal accountability, and transnational challenges. Scientific Awards: No specific awards or honors are mentioned in the provided text. Key Contributions: His research explores the dynamics of criminality, legal procedures, and the intersection of technology and law. He has contributed to discussions on mediation, plea agreements, and the impact of global health crises on regional crime.

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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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Mennan Selimiمشاهده پروفایل

استاد

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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Халил Снопчеمشاهده پروفایل

استاد

South East European UniversityMacedonia

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

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Zoran Hadzi-Velkovمشاهده پروفایل

استاد

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 Janevskiمشاهده پروفایل

استاد

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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Zlatkova Aleksandraمشاهده پروفایل

استادیار

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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Dimirovski Georgiمشاهده پروفایل

استاد

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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Nuhi Besimiمشاهده پروفایل

استادیار

South East European UniversityMacedonia

Nuhi Besimi is an Assistant Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (SEEU). His research focuses on machine learning, data mining, AI applications in education and music, and disaster response systems. He has published extensively in conferences like MECO and IEEE, addressing topics ranging from ethno-fusion music datasets to low-cost machine learning architectures. His work includes creating benchmark datasets for ethno-fusion music, developing energy-efficient ML systems using Raspberry Pi clusters, and analyzing media bias through data mining. Besimi collaborates with institutions in Montenegro, Croatia, and Albania on interdisciplinary projects. Recent trends in his publications emphasize AI-driven solutions for education, music technology, and disaster management. He has contributed to fake news detection surveys and automatic literature review systems leveraging OpenAI tools. His research bridges theoretical data science with practical applications in diverse cultural and technological domains.

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