جستجوی استاد راهنمای دانشگاهی

Sadri Alijiمشاهده پروفایل

استاد

• Applied Statistics
• Economics
• Machine Learning
• +۳ مورد دیگر

Sadri Aliji is a Full Professor at the Faculty of Business and Economics, South East European University (SEEU) in Tetovo, North Macedonia. He has been affiliated with SEEU since 2006, initially as an Assistant of Mathematics and Statistics and later advancing to his current rank. From 2010 to 2012, he served as Vice-Dean for Undergraduate Studies at the same faculty. His academic engagement is full-time. Education Doctor of Applied Mathematics Sciences in Economics (2013) from South East European University, Macedonia. Thesis: "The socio-economic position of the population in the republic of Macedonia: A statistical analysis with special emphasis to the middle social class" . Master of Science in Mathematics (2006) from University of Tirana, Albania. Specialty: Probability, Statistics, Applications. Thesis: "Regression Diagnostics" . Mathematician (2000) from University of Tirana, Albania. Specialty: Probability, Statistics, Applications. Research Interests Professor Aliji's research integrates quantitative methodologies with applied domains. Key areas include: Applied Statistics : Socio-economic modeling, demographic analysis, and regression diagnostics. Machine Learning in Education : Predictive analytics for student performance, textbook/media selection, and technology impacts. Economic Studies : Financial development in emerging markets, banking profitability, and agricultural economics. Educational Psychology : Student satisfaction, motivation, and technology-mediated learning outcomes. Publication Trends His recent work (2020–2025) demonstrates a strong focus on technology's role in education and socio-economic analysis. Recurring themes include smartphone/online learning impacts, machine learning applications for educational data, and economic modeling in transitional economies. Methodologically, he frequently employs decision trees, panel data analysis, and WarpPLS structural equation modeling. Professional Experience Full Professor at SEEU (2006–Present). Vice-Dean for Undergraduate Studies, SEEU (2010–2012). Mathematics Teacher, Economic High School "8 September" (2000–2004).

Todorovski Mirkoمشاهده پروفایل

دانشیار

• Power Systems
• Electrical Engineering
• Renewable Energy Integration
• +۶ مورد دیگر

Associate Professor Todorovski Mirko is affiliated with the Faculty of Electrical Engineering and Information Technologies at Ss. Cyril and Methodius University in Skopje, Macedonia. His primary appointment is in the Department of Power Systems, where he specializes in power systems engineering, grounding systems, and renewable energy integration. He leads research activities at the Transmission Power Systems Institute, focusing on enhancing grid reliability and optimizing energy infrastructure. His research interests span multiple domains, including power system planning, high voltage engineering, lightning protection, and smart grid technologies. Key areas of exploration include radial distribution network design, robust optimization for energy storage systems, and the impact of renewable energy sources on grid dynamics. Recent publications highlight trends in addressing uncertainty in power demand, optimizing feeder routing with battery storage, and mitigating lightning-induced risks in communication tower grounding systems. His work frequently employs advanced computational methods, such as Monte Carlo simulations and stochastic optimization, to address real-world grid challenges. While no formal grants or awards are listed, his contributions to the Macedonian power system's flexibility assessment and grid modernization efforts reflect significant applied research impact. He maintains active involvement in academic teaching, instructing core courses like High Voltage Networks and Earthing Systems in Power Grids. His research often intersects with industry needs, such as improving grid resilience through decentralized charging solutions for electric vehicles and enhancing voltage regulation in low-voltage distribution networks. Ongoing projects explore the integration of distributed generation and advanced grid control strategies.

Angelov Jordanchoمشاهده پروفایل

مدرس

• Power Systems Engineering
• Electrical Energy Transmission
• Grid Reliability Analysis
• +۳ مورد دیگر

Jordancho Angelov is a Lecturer at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, affiliated with the Institute for Transmission Power Systems. He holds an MSc (2010) and BSc (2003) in Electrical Engineering from the same faculty. His research focuses on power systems engineering, including reliability analysis of distribution networks, thermal aging of insulation in power cables, transient process modeling, and surge protection methods. His work leverages computational tools like Matlab/Simulink for simulation and optimization. He has contributed to multiple conference proceedings at the VI MAKO-SIGRE Consultation in 2009, addressing topics such as grid maintenance and insulation degradation. Currently, he works within the Institute for Transmission Power Systems, with prior roles as a Demonstrator and Technical Associate in High Voltage and Measurement laboratories.

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.

Goran Jakimovskiمشاهده پروفایل

استادیار

• Parallel Processing
• High-Performance Computing
• Operating Systems
• +۳ مورد دیگر

Goran Jakimovski is an Assistant Professor at the Institute of Computer Technologies and Engineering, Faculty of Electrical Engineering and Information Technologies (FEIT) at Ss. Cyril and Methodius University in Skopje (UKIM). He has been affiliated with FEIT since 2011, initially as a teaching assistant before transitioning to his current role in 2019. His professional trajectory includes significant contributions to European research initiatives such as the VISION project (2013-2014), focusing on UWB-based intelligent ubiquitous sensing. Education: Bachelor's degree in Electrical Engineering and Information Technologies (2011) Master's in Parallel Processing and High-Performance Computing (2013), defending a thesis on Linux OS process scheduling PhD in Cybersecurity (2019), completing research on secure medical information systems based on mobile cloud technology Research interests span operating systems optimization, cybersecurity frameworks for medical systems, cloud architecture, and high-performance computing paradigms. His work bridges theoretical algorithm development with practical implementation in critical infrastructure systems. No specific scientific awards are listed, though his involvement in EU-funded projects underscores his research impact. Current roles include academic teaching and research leadership at the Institute of Computer Technologies and Engineering.

Bodan Velkovskiمشاهده پروفایل

دانشگاهی

• Renewable Energy Systems
• Power Quality Analysis
• Energy Storage
• +۳ مورد دیگر

Bodan Velkovski is an academic at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, holding the rank of Assistant. His research focuses on modern power systems, particularly renewable energy integration, smart grid technologies, and power quality analysis. With an institutional email (bodan@feit.ukim.edu.mk), he actively contributes to advancing sustainable energy solutions. Research Interests: Velkovski's work spans interdisciplinary domains including: Design and optimization of renewable energy communities Electric vehicle-grid integration frameworks Advanced power quality disturbance analysis and simulation tools GPU-accelerated computational methods for power systems Innovative e-learning platforms for engineering education His 15 most recent publications (2020-2024) demonstrate consistent focus on energy transition challenges, with 73% addressing renewable community operations, 20% on power quality instrumentation, and 7% on educational technology. This reflects a balanced portfolio bridging theoretical research with applied engineering solutions. Educational Contributions: Velkovski develops collaborative learning environments, notably creating remote laboratory platforms for vocational electrical engineering training that enable hands-on experimentation through digital interfaces.

Kacarska Marijaمشاهده پروفایل

استادیار

• Electrical Engineering
• Renewable Energy Systems
• Power Systems Analysis
• +۵ مورد دیگر

Kacarska Marija is an Assistant Professor at the Faculty of Electrical Engineering, University Ss Cyril and Methodius in Skopje, Macedonia. She holds a PhD (1998), MSc (1988), and BSc (1978) in Electrical Engineering from the same institution. Her career spans over four decades, including roles as a Teaching Assistant (1978–2001) and Assistant Professor since 2001. Her research focuses on electrical engineering applications, including renewable energy systems, power systems analysis, electromagnetic compatibility, and smart grid technologies. She has contributed to studies on photovoltaic integration, battery management, and electromagnetic field effects on humans. Her work emphasizes energy storage solutions, grounding systems for renewable installations, and wireless energy management platforms. Notable projects include the PV-ESTIA initiative for building energy storage and the development of systems to monitor low-frequency magnetic fields. Her expertise also extends to computational methods for electrical impedance tomography and contingency analysis in power systems. Her publications reflect a multidisciplinary approach, bridging electrical engineering with environmental sustainability and medical applications. She has pioneered VR-based systems for visualizing electromagnetic influences on humans, particularly near high-voltage lines and in cellular telecommunications. Her contributions aim to enhance energy efficiency, grid stability, and public health through advanced engineering solutions.

Ilir Fetaiمشاهده پروفایل

دانشیار

• Distributed Systems
• Cloud Computing
• Machine Learning
• +۱۰ مورد دیگر

Ilir Fetai is a part-time Associate Professor at the Faculty of Contemporary Sciences and Technologies of South East European University (SEEU) . He also holds significant roles in industry, including serving as a Docent at the University of Applied Sciences (FFHS) and leading AI initiatives at Swiss Railways (SBB) and Railinspect. His expertise spans distributed systems, cloud computing, and artificial intelligence. Education PhD in Computer Science (2011-2016), Faculty of Mathematics and Computer Science, University of Basel, Switzerland. Thesis: "Cost- and Workload-Driven Data Management in the Cloud" . MSc in Computer Science (2008-2011), University of Basel, specializing in Distributed Systems, Autonomous Systems, Machine Learning, and High-Performance Computing. BSc in Computer Science (2000-2004), University of Basel, focus on Distributed Systems. Ilir’s research interests include Distributed Systems , Machine Learning , Cloud Computing , and Artificial Intelligence applied to railway infrastructure and cybersecurity. He leads the Competence Center on Machine Perception and Artificial Intelligence at SBB, focusing on AI for image/video analysis and infrastructure monitoring. His industry roles include Senior Technology Manager at SBB (2016-2019), where he shaped enterprise-wide technology strategies, and as a Lecturer at FHNW, Basel, teaching Operating Systems and System Administration . He has contributed to AI innovation through CBA Labs and has experience in software development for banking and telecommunications.

Anastas Mishevمشاهده پروفایل

استاد

• Grid Computing
• High Performance Computing
• Computer Networks
• +۷ مورد دیگر

Anastas Mishev is a Professor in the Department of Software Engineering at the Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje. Holding a PhD in Informatics, he has been a faculty member since 2003 and currently serves as the coordinator for Macedonia in the FP7-funded High Performance Computing project (HP-SEE). His research focuses on grid computing, high-performance computing infrastructures, computer networks, software engineering, and e-learning. He has contributed to over 35 scientific and academic publications and participated in more than 25 international projects funded by programs such as Tempus, Fare, DAAD, and FP. Active faculty member since 2003 PhD in Informatics (2009) Head of Computer Center at Institute of Informatics since 2009 Research interests include: grid computing, high-performance computing systems, computer architectures, software engineering, and internet technologies. His work emphasizes democratizing access to computational infrastructures for research communities.

Milos Jovanovikمشاهده پروفایل

دانشیار

• Knowledge Graphs
• Linked Data
• Data Science
• +۵ مورد دیگر

Milos Jovanovik is an Associate Professor at the Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje. Concurrently, he serves as a Knowledge Graphs Researcher at TU Wien (Vienna) and Senior R&D Knowledge Graphs Engineer at OpenLink Software (London). His academic trajectory includes a B.Sc. in Informatics and Computer Engineering (2008), M.Sc. in Computer Networks and E-Technologies (2010), and Ph.D. in Computer Science and Engineering (2016), all from Ss. Cyril and Methodius University. His research focuses on Knowledge Graphs , Linked Data , and Data Science , with applications in Open Data ecosystems and Semantic Web technologies. Recent work explores AI-driven solutions for large-scale biomedical data, including nephrology analytics and synthetic health record generation. He has authored ≈60 scientific papers and co-authored three books. Jovanovik leads projects involving international collaborations (e.g., TARGET EU Project on health virtual twins and SPARQL-ML for query optimization). He has participated in 9 international and 26 domestic research projects. His educational contributions include courses in operating systems, e-commerce, DevOps, and web-based systems. He directs research teams at TU Wien and FCSE Skopje, focusing on knowledge graph innovation and scalable data solutions. No awards are explicitly documented in the provided sources.

Bojana Koteskaمشاهده پروفایل

دانشیار

• Software Quality
• Biomedical Signal Processing
• Biosensors
• +۱ مورد دیگر

Bojana Koteska is an Associate Professor at the Faculty of Information Sciences and Computer Engineering (FINKI), University "Sts. Cyril and Methodius", where she teaches undergraduate and master courses such as Algorithms and Data Structures, Software Quality and Testing, and High-Performance Computing. She graduated from FINKI in 2011 as the top student in her generation and earned her Ph.D. in 2018 under Prof. Anastas Mishev. Education: Ph.D. in Software Engineering (FINKI, 2018); Master of Information Sciences (FINKI, 2012); BSc in Software Engineering (FINKI, 2011) Her research focuses on software quality , biomedical signal processing , biosensors , and machine learning . She has contributed to over 80 scientific papers in journals and conferences and co-authored two books. Her work spans 15 international and 20 domestic research projects, with three coordinated by her. Scientific Awards: Golden Coin (University "Sts. Cyril and Methodius"), Golden Ring (Organization of Engineers of Macedonia) Bojana has served as a demonstrator (2010–2011), assistant doctoral student (2017), assistant professor (2018), and associate professor (2023) at FINKI. She has held office hours online and in-person (M2 classroom) for student consultations.