جست‌وجوی استاد و پژوهشگر

• Natural Language Processing
• Speech Technologies
• Representation Learning
• +۶ مورد دیگر

Kostadin Mishev is a teaching and research assistant at the Faculty of Computer Science and Engineering (Ss. Cyril and Methodius University in Skopje). His research focuses on methods for Representation Learning in Natural Language Processing and Speech Technologies. He has attended prestigious training schools in Big Data Analytics, Machine Learning, and Medical Data Analytics, and has led the development of innovative web and mobile applications. Primary Research Areas: Natural Language Processing, Speech Technologies, Representation Learning, Machine Learning. Education: Participated in LAMBDA Big Data Analytics School, Google Eastern European Machine Learning Summer School, and OpenMultiMed Training School for medical data analytics. Publications: Author of over 30 papers in renowned journals and conferences. Contact: kostadin.mishev@finki.ukim.mk | Office Hours: Tuesday, 13:00-14:00 (Online).

• Medical Technology
• Machine Learning
• Signal Processing
• +۴ مورد دیگر

Dr. Aleksandar Stojmenski is an Assistant Professor at the Faculty of Computer Science and Engineering in Skopje, Macedonia. He graduated with top honors from the same faculty in 2015 and completed his PhD in 2024. His research bridges computer science and healthcare innovation, focusing on intelligent systems for medical applications. Research Interests: Dr. Stojmenski's work spans: Non-invasive glucose measurement using AI Machine learning and signal processing for medical data 3D printing applications in medicine ECG signal analysis for early heart attack detection Data visualization for healthcare advancements His pioneering efforts aim to transform medical diagnostics through computational methods.

Xhemal Zenuniمشاهده پروفایل

استاد

• Computer Science
• Machine Learning
• Internet of Things (IoT)
• +۷ مورد دیگر

Xhemal Zenuni is a Full Professor and current Dean at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, North Macedonia). His academic career spans multiple roles from IT Administration Assistant (2003-2004) to progressively senior positions including Young Assistant (2004-2006), Assistant (2006-2008), Assistant Professor (2013-2018), Associate Professor (2018-2023), and now Full Professor since 2023. Education: PhD in Computer Sciences (2006-2012, Technical University of Sofia), specialization in Computer Systems, Complexes and Networks Master of Sciences in Informatics (2004-2005, New Bulgarian University), specialization in Internet Software Technologies Bachelor of Sciences in Computer Sciences (2001-2003, SEEU) With expertise in Machine Learning , IoT , Cloud Computing , and Database Systems , his research focuses on applying AI/ML techniques across multiple domains. Recent work includes predictive modeling in education, hate speech detection for Albanian social media, smart agriculture systems, and microservices architecture migration. His publications demonstrate consistent engagement with modern computational challenges, particularly around low-resource language processing , smart city infrastructure , and educational technology . While serving as Dean and Vice-Dean, he has maintained active research output through collaborations with colleagues like Mentor Hamiti, Jaumin Ajdari, and Florije Ismaili.

Azir Aliuمشاهده پروفایل

استاد

• Computer Science
• Information Technology
• Cybersecurity
• +۳ مورد دیگر

Azir Aliu is a Part-Time Full Professor at the Faculty of Technical Sciences , South East European University (Tetovo, North Macedonia). His academic focus lies in computer science, cybersecurity, and blockchain technology, with a career spanning technical research and education in digital systems. Email: azir.aliu@seeu.edu.mk Address: Ilindenska bb, Tetove Phone: +389 44 356 168 Research Interests: Aliu's work bridges advanced computing with practical applications in education, security, and blockchain. His recent research emphasizes academic ranking platforms , blockchain integration in higher education , and data mining techniques for curriculum-market alignment . Earlier studies explored cryptography , cybersecurity challenges , and natural language processing for Albanian language . Publication Trends (2018-2024): Spanning blockchain for academic systems, cybersecurity frameworks, and sentiment analysis in multilingual contexts, his work reflects interdisciplinary collaboration across North Macedonia, Turkey, Montenegro, and Bahrain. Topics include smart contract implementation , parallel computing architectures , and child online safety .

Bujar Raufiمشاهده پروفایل

دانشیار

• Data Mining
• Semantic Web
• Machine Learning
• +۴ مورد دیگر

Bujar Raufi is an Associate Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (SEEU), working part-time since 2017. His academic career spans over 15 years at SEEU, including roles as Assistant Professor (2012-2017), Teaching Assistant (2012), Prodean for Postgraduate Studies (2008-2012), and various assistant positions since 2003. He completed his Ph.D. in Computer Science at the Technical University of Sofia (2006-2011) with a thesis on adaptive web-based systems using data mining and semantic web technologies. Doctor of Computer Science, Technical University of Sofia, Bulgaria (2011) M.Sc. in Informatics, New Bulgarian University, Bulgaria (2005) B.Sc. in Computer Sciences, South East European University, Macedonia (2003) Raufi's research focuses on data mining, semantic web technologies, machine learning, web-based systems, and database systems. His work addresses practical applications in education, mobile platforms, and smart agriculture. He has collaborated on diverse projects including hate speech detection, web personalization, and database migration. His publications (2016-2020) demonstrate expertise in natural language processing, adaptive systems, and database technologies, with a recurring interest in solving educational and ethical challenges through computational methods. While no formal awards are documented, his career shows progression from technical roles to academic leadership in computer science education and research. Raufi has contributed to curriculum development, teaching responsibilities in internet technologies and computer graphics, and active research output. He maintains proficiency in multiple languages including English, Macedonian, French, and Turkish.

• Cryptography
• Cybersecurity
• Data Mining
• +۴ مورد دیگر

Артан Лума is a Full Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, North Macedonia). He holds a PhD in Computer Sciences (Cryptography) from SEEU, a Master's in Multimedia, and an engineering degree in Informatics. His academic roles span over two decades, including Deputy Director of e-Learning Center and prior positions as Associate Professor (2015–2020), Assistant Professor (2010–2015), and Teaching Assistant (2003–2010). His research focuses on Cryptography, Cybersecurity, Blockchain Technology, and Data Mining, with notable contributions to academic credential verification systems, alignment of university curricula with job markets, and industrial IoT security. He has authored/co-authored over 40 peer-reviewed publications in venues like IEEE, International Journal of Online and Biomedical Engineering, and SAR Journal. Key Research Themes: Blockchain applications in education, cybersecurity frameworks for IIoT, parallel computing algorithms. Grants/Projects: Developed the North Macedonia Research Ranking Platform and collaborated on EU-funded projects aligning education with labor market needs. Educational Leadership: Pioneered e-Learning initiatives and curriculum modernization in Balkan universities.

• e-Learning
• Cybersecurity
• Data Analysis
• +۷ مورد دیگر

Leyla Abazi-Bexheti is a Full Professor of Computer Sciences at the Faculty of Modern Sciences and Technologies, South East European University (SEEU) in Tetovo, Macedonia. She holds a Doctorate in Computer Science (2009) from SEEU, a Master's in Electrical Engineering (2006) from Ss. Cyril and Methodius University, and a Computer Science Engineering degree (2000) from the same institution. Her research focuses on e-learning systems, cybersecurity, open data governance, VR/AR integration in education, and gender disparities in computing. She has held leadership roles including Director of the PhD School (2019–present), Pro Rector for Academic Issues (2016–2018), Dean of Faculty (2014–2015), and Director of the eLearning Center (2010–2014). Her work spans 20+ peer-reviewed publications since 2016, emphasizing machine learning applications in safety analytics, VR/AR pedagogy, and policy-driven open data initiatives. She has co-authored studies on road accident prediction using web data and cyber efficacy in public platforms. Her research often intersects technology adoption challenges in Balkan educational systems. Abazi-Bexheti has led institutional reforms in academic governance, curriculum development, and digital transformation initiatives. She contributes to international conferences (MECO, MIPRO, ENTRENOVA) and collaborates with institutions across Europe on ICT education frameworks and gender equity in STEM fields.

Zamir Dikaمشاهده پروفایل

استاد

• Information Systems
• ERP Implementation
• E-learning Technology
• +۵ مورد دیگر

Zamir Dika is a Full Professor at the Faculty of Modern Sciences and Technologies of the South East European University (SEEU), employed on a part-time basis. His research focuses on information systems, ERP implementation challenges in higher education, e-learning technologies, service quality management, and conceptual modeling frameworks. He has contributed to studies on educational leadership in North Macedonia, text-mining algorithms for financial prediction, and cloud computing architectures. His work frequently engages with institutional quality assurance frameworks and Bologna Process compliance. Key publications include analyses of ERP implementation factors (2018), comparative studies of COVID-19 datasets (2020), and frameworks for conceptual modeling (2016-2018). His research also extends to cloud reliability models (2017), banking e-service quality (2012), and web services for SMEs (2011). Award recognition details are not explicitly mentioned in the provided texts. His advising record is not listed here, though his publications suggest collaborative research with colleagues across disciplines. He has contributed to institutional projects such as the development of learning management systems (LMS) and academic planning modules at SEEU. His work bridges theoretical frameworks with practical applications in higher education technology, business process optimization, and digital transformation strategies. Current research trends emphasize sustainability in service quality paradigms and leveraging AI in financial predictive analytics.

Vladimir Atanasovskiمشاهده پروفایل

استاد مدعو

• Telecommunications
• Blockchain Technology
• Artificial Intelligence
• +۵ مورد دیگر

Vladimir Atanasovski is an Adjunct Professor at the Department of Telecommunications, Faculty of Electrical Engineering and Information Technologies (FEIT) at Ss. Cyril and Methodius University in Skopje. He holds a Doctorate in Technical Sciences (2010), a Master’s in Electrical Engineering (2006), and a Bachelor’s in Electrical Engineering (2004), all from the University of Skopje. His career spans over 19 years at FEIT, progressing from Demonstrator (2004–2006) to Assistant Professor (2006–2010), Associate Professor (2010–2015), and Adjunct Professor since 2015. His research focuses on telecommunications , blockchain applications , and AI integration in academic systems. Notable areas include blockchain-based diploma verification systems, 5G network optimization, IoT traffic classification, and radio spectrum management. He has contributed to projects like eWALL for eHealth platforms and Flash Crowd Management in virtualized networks. Recent publications emphasize blockchain security , AI-driven credential verification , and 5G NR architecture . His work bridges academia and industry, addressing challenges in cybersecurity, network efficiency, and education technology. Vladimir’s expertise extends to collaborative projects with international partners, leveraging machine learning and cognitive radio networks for innovative solutions in telecommunications and smart systems.

Marija Kalendarمشاهده پروفایل

دانشیار

• Machine Learning
• AI Ethics and Bias Detection
• Network Security
• +۵ مورد دیگر

Marija Kalendar is an Associate Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of the Ss. Cyril and Methodius University of Skopje. She is affiliated with the Department of Computer Engineering and Informatics, where she contributes to research and teaching in computer science, AI, and network technologies. Her work spans machine learning applications, healthcare ethics in AI, IoT frameworks, FPGA implementations, and remote laboratory systems. Education: No explicit educational details provided in the text. Research Interests: Dr. Kalendar's research focuses on ethical AI (e.g., bias detection in medical datasets), federated learning for healthcare and IoT security, FPGA-based hardware designs for networking, and virtual laboratory frameworks. She also explores cryptocurrency price prediction using ML and LoRaWAN IoT limitations. Key Article Trends: Her recent work emphasizes AI ethics (racial bias in clinical AI), cybersecurity in IoT (federated learning for intrusion detection), and remote education infrastructure (UbiLAB framework). She also studies vital signs' role in bias and 5G network frameworks for mission-critical data. Grants/Advising: No specific grants or advising details provided. However, her involvement in collaborative projects (e.g., UbiLAB, federated learning frameworks) suggests interdisciplinary teamwork. Labs/Teams: Her affiliation with the Department of Computer Engineering and Informatics implies collaboration with FEIT's research institutes, though specific lab names are not mentioned.

Kjosev Josifمشاهده پروفایل

پژوهشگر

• Power Electronics
• Embedded Systems
• Circuit Design
• +۳ مورد دیگر

Kjosev Josif is an academic affiliated with the Faculty of Electrical Engineering and Information Technologies at Ss. Cyril and Methodius University in Skopje. He holds a position in the Department of Electronics within the Institute of Electronics. His work focuses on practical applications of electronics in education and industrial systems, with a particular emphasis on power electronics, embedded systems, and circuit design. His research interests include developing educational tools using embedded systems (e.g., toys as teaching aids), optimizing power conversion techniques, and designing instrumentation for network infrastructure. He has contributed to advancements in switched-capacitor converters, stepper motor synchronization, and low-component-count power solutions. His publications reflect a blend of theoretical and applied electronics engineering, spanning from foundational circuit design (1996) to modern applications like 3D printer motor control (2018). While no formal awards are listed, his work demonstrates sustained engagement in both academic research and pedagogical innovation. He is currently active in the academic community, contributing to the Department of Electronics’ research and teaching activities without any indication of emeritus or retired status.

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.

Tomislav Kartalovمشاهده پروفایل

استادیار

• Image and Video Processing
• Mobile Platform Implementation
• Machine Learning
• +۵ مورد دیگر

Tomislav Kartalov is an Assistant Professor at the Department of Electronics, Faculty of Electrical Engineering and Information Technologies, University of St. Cyril and Methodius in Skopje, Republic of Macedonia. He has held this position since March 2015, following previous roles as a Teaching and Research Assistant from 2002 to 2015 and a brief period in technical maintenance at Macedonian Radio Television. Education includes a Ph.D. in Technical Sciences (2014) with a dissertation on Fusion of Digital Images and Videos for Visual Quality Improvement and Mobile Platform Implementation Possibilities , an M.Sc. in Electrical Engineering (2008) focusing on Visual Quality Enhancement of Digital Television Videos , and a B.Sc. in Electrical Engineering (2002) with a thesis on Software for Switching Power Supply Design (Flyback) . His research interests span image/video processing, mobile platform optimization, machine learning applications in education and healthcare, and sensor networks. Key areas include exposure fusion algorithms for mobile devices, real-time traffic sound detection systems, and multimodal information fusion for intelligent transportation systems. His publications from 2006 to 2023 reflect a strong focus on computational photography, embedded systems, and healthcare technology. Notable contributions include automated exposure fusion techniques for low-resource devices and AI-driven diagnostics using neuroimaging. No scientific awards or grants are explicitly mentioned in the provided texts. Kartalov’s advising history is not listed, but his teaching roles suggest involvement in graduate student mentorship. Laboratory affiliations are not detailed in the text.

Kuhar Andrijanaمشاهده پروفایل

مدرس

• Electromagnetics
• Numerical Methods
• Biomedical Engineering
• +۲ مورد دیگر

Kuhar Andrijana is a Lecturer at the Institute of Electronics within the Faculty of Electrical Engineering and Information Technologies (FEIT) at Ss. Cyril and Methodius University in Skopje. She holds a BSc (2006), MSc (2010), and PhD (2018), all from FEIT. Her academic work focuses on applied electromagnetics and computational methods, with affiliations to research in electromagnetic field exposure and grounding systems. Her research interests span: Electromagnetics : Human exposure modeling near transmission lines and wireless networks. Numerical Methods : Finite Element Method (FEM), Method of Moments (MoM), and circuit-based simulations. Biomedical Engineering : ECG signal processing and cortical activity analysis. Electrical Safety : Grounding systems optimization and EMF impact assessment. Her recent publications (2017–2023) demonstrate a consistent focus on: Modeling electromagnetic exposure risks from infrastructure (e.g., transmission lines, 5G networks). Advancing numerical techniques for electrostatic and grounding problems. Exploring biomedical applications like ECG noise handling and neural signal representation. No scientific awards or student advisories are documented in available sources. She is affiliated with the Institute of Electronics' research initiatives but no specific labs or teams are detailed.

Dimishkovska Krsteski Natashaمشاهده پروفایل

استادیار

• Power Systems
• Renewable Energy Integration
• Energy Management
• +۳ مورد دیگر

Dimishkovska Krsteski Natasha is an Assistant Professor at the Faculty of Electrical Engineering and Information Technologies, University of Ss. Cyril and Methodius. Her primary affiliation involves research and academic activities in power systems engineering. Research Focus: Her work centers on optimizing power systems through advanced computational methods. Key areas include: Renewable energy integration (offshore wind, solar PV, hybrid systems) Microgrid management under dynamic pricing and grid-connected scenarios Reliability modeling of substations and distributed generation using stochastic methods (Markov chains, Monte Carlo) Algorithm development (Genetic Algorithms, Dynamic Programming) for unit commitment and economic dispatch Publication Trends: Recent articles (2019-2025) demonstrate a consistent focus on: Energy cost optimization in renewable systems Voltage regulation and stability in microgrids Probabilistic reliability assessment under uncertainty Applications of metaheuristic algorithms in grid management No awards, student advisements, or lab affiliations are documented in available sources.