جست‌وجوی استاد و پژوهشگر

Slavche Pejoskiمشاهده پروفایل

استاد

• Wireless Communication Networks
• Energy Harvesting
• Federated Learning
• +۳ مورد دیگر

Slavche Pejoski is a Full Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of the Ss. Cyril and Methodius University of Skopje, specializing in the Department of Telecommunications. He holds a PhD in Telecommunications (2015), Master's (2010), and Bachelor's (2007) degrees from the same institution. His academic roles include Assistant (2014–2016), Assistant Professor (2016–2020), Associate Professor (2020–2025), and Full Professor (since 2025). His research focuses on wireless communication networks , energy harvesting , federated learning , intelligent reflecting surfaces (IRS) , and network optimization . He has pioneered work on optimizing resource allocation in IRS-assisted networks, covert communications, and delay-minimization in federated learning. Publications emphasize ALOHA protocols , UAV-based communication systems , and RF energy harvesting . Recent work (2022–2025) highlights advancements in covert communications and IRS-enhanced networks . He received the Best Paper Award at TELFOR 2015 for MRI imaging research. His grants and collaborations span industry partnerships, emphasizing practical network implementations. Labs/Teams: Active in FEIT's Institute of Telecommunications , leading projects on next-generation wireless systems and AI-driven networking.

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.

Dimirovski Georgiمشاهده پروفایل

استاد

• Control Systems
• Neural Networks
• Cyber-Physical Systems
• +۷ مورد دیگر

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.

• Economic Modeling
• Decision Theory
• Operations Research
• +۳ مورد دیگر

Prof. Ljupce Markuseski is an Associate Professor at the Economic Faculty of Prilep, part of the Ss. Cyril and Methodius University of Skopje. He holds a PhD in designing decision-making models and has extensive experience in quantitative methods, mathematical modeling, and decision theory. His career spans over three decades, beginning as a junior assistant in 1987 and advancing to his current rank in 2018. He has contributed to numerous international conferences and co-authored impactful papers on topics like decision support systems, knowledge management, and innovation financing. Education: Bachelor's in Economics, Economic Faculty of Prilep Master's thesis on optimizing technological processes (2004) PhD thesis on decision-making models (2010) Research focuses on mathematical modeling of economic phenomena, decision theory, and business systems optimization. His work bridges theoretical frameworks with practical applications in Macedonian companies, emphasizing technological adoption and sustainable economic practices. Recent articles highlight contributions to data mining, electronic commerce, and patent-driven business strategies. These reflect trends in leveraging technology for decision-making and market competitiveness. Awards and recognitions aren't explicitly mentioned, but his active participation in international academic networks underscores his scholarly impact.

Nuhi Besimiمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Data Mining
• +۶ مورد دیگر

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.

• Applied Mathematics
• Blockchain Technology
• Cybersecurity
• +۳ مورد دیگر

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.

Agron Çaushiمشاهده پروفایل

دانشیار

• Economic Sciences
• Information Systems
• E-Government
• +۶ مورد دیگر

Agron Çaushi is an Associate Professor at the Faculty of Business and Economics, South East European University, Tetovo, North Macedonia. With a PhD in Economic Sciences (2017) and an MSc in Information Systems (2007), his work bridges economic theory, information systems, and digital transformation. His career has focused on e-Government, business analytics, and AI applications in education and organizational efficiency. Education: PhD in Economic Sciences (2017), Master of Science in Information Systems (2007), Bachelor of Arts in Business Administration (2005) Research interests include the socio-economic impact of digital technologies, ERP systems, AI ethics in education, and sustainable development through digitalization. Recent publications analyze AI's role in higher education, robotics in renewable energy, and e-Government maturity models. His work combines empirical studies with comprehensive reviews, often collaborating with regional institutions. Publications span topics like ERP evolution , AI in education , cloud healthcare , and robotics , reflecting his interdisciplinary approach. Co-authored works frequently address policy implications and technological integration in public and private sectors.

• Irrigation Systems
• Climate Change Adaptation in Agriculture
• Crop Yield Forecasting
• +۳ مورد دیگر

Ordan Chukaliev is a Full Professor at the Department of Water and Erosion Protection within the Faculty of Agricultural Sciences and Food at Ss. Cyril and Methodius University in Skopje (UKIM). His research focuses on irrigation systems, climate change adaptation, and crop yield optimization in Mediterranean agroecosystems. Institute for the Environment Department of Water and Erosion Protection Expertise: Specializes in irrigation optimization, fertilization techniques, and water resource management. His work bridges agricultural engineering with climate science to improve crop productivity in arid regions. Research Trends: Recent publications emphasize machine learning applications for yield forecasting, climate change mitigation in sunflower cultivation, and irrigation efficiency in pepper and tomato crops. His studies span both field and greenhouse experiments. Professional Contact: Email: Ordan.Cukaliev@fznh.ukim.edu.mk | Institute: Faculty of Agricultural Sciences and Food, 3 16th Macedonian Brigade Street, Skopje, Macedonia

Pande Trajkovمشاهده پروفایل

استاد

• Forest Management
• Dendrometry
• Multifunctional Forest Management
• +۶ مورد دیگر

Prof. Dr. Pande Trajkov is a Full Professor at the Faculty of Forestry, Ss. Cyril and Methodius University in North Macedonia. With over three decades of experience since his 1988 graduation, he specializes in forest management, dendrometry, and multifunctional forest systems. He teaches courses including Forest Management , Dendometry , and Forest Inventory at both undergraduate and graduate levels. Education: PhD in Forestry (1997), MSc in Forestry (1992), BSc in Forestry (1988) from the Faculty of Forestry, Skopje His research focuses on forest productivity , silvicultural practices , and nature conservation in protected areas. Recent work explores machine learning applications in forest biomass estimation, elevation impacts on Macedonian pine stands, and coppice forest management challenges in Europe. Key trends in his publications include: Integration of remote sensing and AI for forest inventory Ecological dynamics of native species like Macedonian pine and sessile oak Policy analysis for nature conservation vs. forestry activities Sustainable management of coppice forests Forest road infrastructure optimization Administratively, he has served as Vice-Dean of the Faculty of Forestry (2001-2004, 2017-present) and contributed to EU agricultural policy adaptation frameworks.

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.

Simona Samardzhiskaمشاهده پروفایل

دانشیار

• Cryptography
• Network and Information Security
• Design and analysis of algorithms
• +۳ مورد دیگر

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)

Andreja Naumoskiمشاهده پروفایل

استاد

• Machine learning from environmental data
• Geographic Information Systems (GIS)
• Modeling and prediction of dynamic processes
• +۷ مورد دیگر

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.

Katarina Trojachanec Dinevaمشاهده پروفایل

دانشیار

• Image Processing
• Data Mining
• Machine Learning
• +۳ مورد دیگر

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.

• 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.