جست‌وجوی استاد و پژوهشگر

Shuminoski Tomislavمشاهده پروفایل

پژوهشگر

• Telecommunications
• Wireless Networks
• Cybersecurity
• +۶ مورد دیگر

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.

Gavrilovska Liljanaمشاهده پروفایل

دانشیار

• Telecommunications
• Mobile Edge Computing (MEC)
• Blockchain Technology
• +۸ مورد دیگر

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.

Jaumin Ajdariمشاهده پروفایل

استاد

• Parallel Processing
• Wavelet Transforms
• Machine Learning
• +۷ مورد دیگر

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

Denkovski Danielمشاهده پروفایل

دانشیار

• Federated Learning
• Wireless Communication Systems
• Cognitive Radio Networks
• +۵ مورد دیگر

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.

Velichkovska Bojanaمشاهده پروفایل

دانشیار

• Machine Learning
• Healthcare Informatics
• Data Science
• +۳ مورد دیگر

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.

Mennan Selimiمشاهده پروفایل

استاد

• Federated Learning
• Wireless Networks
• Edge Computing
• +۴ مورد دیگر

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.

Zoran Hadzi-Velkovمشاهده پروفایل

استاد

• Communications Theory
• Wireless Communications
• Wireless Powered Communications
• +۵ مورد دیگر

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.

• Internet Technologies
• Mobile and Wireless Networks
• Next Generation Networks (NGN)
• +۷ مورد دیگر

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.

Zlatkova Aleksandraمشاهده پروفایل

استادیار

• Machine Learning
• Signal Processing
• Power Quality
• +۶ مورد دیگر

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.

Suzana Loshkovskaمشاهده پروفایل

استاد

• Programming
• Visualization
• Human-Computer Interaction
• +۳ مورد دیگر

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.

Pero Latkoskiمشاهده پروفایل

استاد

• Wireless Communications
• Spectrum Management
• Heterogeneous Networks
• +۳ مورد دیگر

Pero Latkoski is a Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of Ss. Cyril and Methodius University of Skopje, specializing in Telecommunications. He holds a PhD from FEIT (2010), M.Sc. (2006), and B.Sc. (2004) from the University of Technology in Skopje (ETF). His research focuses on wireless communication systems, spectrum management, heterogeneous networks, and protocol engineering. Notable contributions include work on cognitive radio networks, secondary spectrum usage (e.g., TVWS), and network function virtualization (NFV) architectures. He has led projects on RIWCoS platform development for heterogeneous networks and contributed to digital switchover (DSO) studies in Macedonia. Latkoski has authored over 60 peer-reviewed articles and two books. His recent work explores blockchain applications in education and healthcare, AI-driven perimeter security, and 5G/edge computing integration. He actively collaborates with institutions like SPRINGER, IEEE, and COST Action IC0902. Labs/Teams: Head of Telecommunications Institute at FEIT, RIWCoS platform developer, and contributor to COST Action IC0902 spectrum whitespace initiatives.

Zoran Ivanovskiمشاهده پروفایل

استاد

• Image Processing
• Speech Recognition
• Medical Imaging
• +۳ مورد دیگر

Professor Zoran Ivanovski is a Full Professor and Head of the Institute of Electronics at the Faculty of Electrical Engineering and Information Technologies, University Saints Cyril and Methodius in Skopje, North Macedonia. He has held this position since 2016, advancing from Assistant Professor (2006–2011) to Associate Professor (2011–2016). His academic journey includes a Ph.D. in Electronics (2006), M.Sc. in Electronics (2000), and B.Sc. in IT and Automation (1990), all from the same university. His research focuses on image processing , speech recognition , medical imaging , and machine learning applications . Notable projects include real-time traffic analysis systems, automated media transcription, and quality control for medical imaging. He leads initiatives such as the Road Tax Payment Control System (funded by EBRD) and systems for object recognition using LIDAR and RGB-D data. Recent publications span hybrid CNN-DSP algorithms, real-time vehicle detection, and medical imaging advancements. His work emphasizes practical applications in healthcare, transportation, and assistive technologies.

Danijela Efnushevaمشاهده پروفایل

استادیار

• Computer Engineering
• Network Security
• Machine Learning
• +۵ مورد دیگر

Danijela Efnusheva is an Assistant Professor at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, Macedonia. She leads the Computer Technologies and Engineering Lab since 2020 and has held academic positions since 2009. Her expertise spans computer engineering, network security, FPGA design, and machine learning applications. Education: Ph.D. in Technical Sciences (2017), Master of Electrical Engineering (2010), and Bachelor's in Informatics (2008), all from FEEIT, Skopje. Research focuses on FPGA-based hardware architectures, network security solutions, IoT systems, and machine learning applications in healthcare and finance. Key projects include the UbiLAB remote laboratory framework and FPGA implementations for network packet processing. Publications emphasize network security, embedded systems, and machine learning, with contributions to conferences like ETAI and Applied Innovations in IT. She coordinates projects such as the OBD cloud platform and has expertise in remote lab infrastructure and IoT monitoring systems.

Gjoreski Hristijanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Healthcare Technology
• +۳ مورد دیگر

Gjoreski Hristijan is an Assistant Professor at the Faculty of Electrical Engineering and Information Technologies (Ss. Cyril and Methodius University in Skopje), with expertise in Artificial Intelligence and Machine Learning. He leads research in healthcare technology, focusing on developing intelligent systems using wearable sensors for activity recognition, fall detection, stress monitoring, and elderly care applications. His work bridges theoretical machine learning with practical healthcare solutions. PhD (2015): Jožef Stefan International Postgraduate School, Slovenia MSc (2011): Jožef Stefan International Postgraduate School, Slovenia BSc (2010): Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies, Skopje Research interests include: Machine learning for healthcare Wearable sensor systems Activity recognition algorithms Federated learning for privacy-aware applications Smart glasses integration for health monitoring His awards highlight impactful contributions, including first-place wins in international competitions like ChallengeUP (2019) and EvAAL (2013), and the prestigious Best Young Scientist Award (2017) from the President of Macedonia. Recent work focuses on OCOsense smart glasses for facial expression monitoring and real-time health diagnostics. He actively collaborates with institutions like the University of Sussex (UK) and Jožef Stefan Institute (Slovenia), advancing interdisciplinary research in AI and healthcare.

Valentin Rakovicمشاهده پروفایل

دانشیار

• Wireless Networks
• Machine Learning
• Federated Learning
• +۵ مورد دیگر

Valentin Rakovic is an Associate Professor at the Faculty of Electrical Engineering and Information Technologies, Ss Cyril and Methodius University in Skopje. He is the head of the Laboratory for Wireless and Mobile Networks. His research focuses on wireless networks, machine learning, federated learning, and distributed systems, with applications in IoT, healthcare, and edge computing. He has co-authored over 80 publications and contributed to 10+ international research projects funded by the EU and NATO. Education: PhD in Electrical Engineering (2016) – Ss Cyril and Methodius University (Joint with RWTH Aachen, Germany) MSc in Wireless and Mobile Communications (2010) BSc in Telecommunications (2008) Research Interests: Wireless networks, federated learning, distributed learning, signal processing, optimization theory, and prototyping of wireless solutions. Recent work emphasizes synergies between wireless communications and machine learning, particularly in IoT and healthcare environments. Publications: Rakovic’s work spans federated learning optimization, edge computing, and network security. Recent trends include applications in healthcare, energy efficiency, and anomaly detection. Awards: Youngest recipient of the Ss Cyril and Methodius Award IEEE DySPAN Best Demo Award (2011, 2015) Supervised student teams to 1st/3rd place in IEEE competitions Labs & Teams: Heads the Laboratory for Wireless and Mobile Networks, collaborating on prototyping and system-level research.