جست‌وجوی استاد و پژوهشگر

Sashko Ristovمشاهده پروفایل

عضو هیئت علمی

• Cloud Computing
• Computer Security
• Web Services Security
• +۴ مورد دیگر

Sashko Ristov is a Macedonian computer-science educator and researcher currently serving as a teaching and research assistant at the Institute of Informatics, Faculty of Computer Science and Engineering (FINKI), Ss. Cyril and Methodius University in Skopje. Born on 20 November 1976 in Kavadarci, he has been affiliated with UKIM since 2008, after nearly a decade of industry experience at Macedonian Telecom. Education: Primary and secondary education: Kavadarci, Republic of Macedonia – consistently top pupil with >100 diplomas and national olympiad medals in mathematics, informatics and physics. B.Sc. in Computer Engineering, Automation and Informatics, Faculty of Electrical Engineering, UKIM, 2000 (average grade 9.29/10, best-student award every year). M.Sc. in “Analysis of Web Service Security and its Impact on Web Server Performance”, Faculty of Electrical Engineering and Information Technologies, UKIM, defended 11 May 2011. Ph.D. in progress: “Performance and Security in Cloud Computing”, started 2011. Research interests lie at the intersection of cloud computing, network security and performance evaluation. He investigates secure and efficient architectures for cloud services, the impact of cryptographic mechanisms on web-server throughput, PKI and certificate-authority systems, and practical aspects of computer-network design and microprocessor systems. Scientific awards and distinctions: Recipient of over 100 diplomas and medals in city, regional and national competitions in mathematics, informatics and physics. Participant, 37th International Mathematical Olympiad 1995. Best-student award every study year, 1995–2000. Macedonian Telecom “Employee of the Year” 2002. Teaching and professional experience: 2000–2008: Macedonian Telecom – Project Manager for Software Applications, IT Security Senior Specialist, First Security Officer for MTnet CA PKI System. 2008–2011: Institute of Informatics, Faculty of Natural Sciences and Mathematics, UKIM – Teaching and Research Assistant; courses taught include Computer Architecture, Microprocessors & Microcontrollers, Computer Networks, Internet Programming, Software Quality & Testing, and Teamwork. CISCO Certified Network Associate (CCNA) instructor, Regional CISCO Academy.

Sasho Gramatikovمشاهده پروفایل

دانشیار

• Computer Networks
• Multimedia Distribution
• Telecommunications

Sasho Gramatikov is an Associate Professor at the Faculty of Electrical Engineering, Ss. Cyril and Methodius University in Skopje. Holding a Ph.D. in Telecommunications from the Technical University of Madrid, he has been actively contributing to research and teaching since 2006. B.Sc. (2005) and M.Sc. (2009) in Electrical Engineering from Skopje Ph.D. in Telecommunications (2013) from Technical University of Madrid (UPM) Office Hours: Tuesday, 12:00-14:00 (Room M6, Online) His research focuses on computer networks and the distribution of multimedia content , with contributions to national and international conferences. He has participated in numerous research and application projects, shaping both academic and practical advancements in network technologies. For contact, reach him at sasho.gramatikov@finki.ukim.mk .

• Applied Cryptography
• Computer Security
• Electronic Voting Systems
• +۳ مورد دیگر

Panche Ribarski is a Teaching Assistant at the Institute of Informatics , Faculty of Natural Sciences and Mathematics , Ss. Cyril and Methodius University in Skopje . Born in Štip in 1984, he has been affiliated with UKIM since 2008, first as a laboratory teaching assistant during his undergraduate studies and subsequently as a teaching assistant after graduation. Education 2003–2008 – B.Sc. in Informatics, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje Post-graduate studies (TEMPUS Software Engineering programme) – coursework completed; master thesis in progress on cryptography and electronic voting Research Interests His primary research lies at the intersection of applied cryptography and software engineering , with a special focus on electronic voting systems . He is also interested in mobile and ubiquitous technologies and their integration into everyday life. These interests drive his work on securing software systems and developing trustworthy e-governance solutions. Professional Memberships & Service Member, Computer Society of Macedonia Secretary, Association for Information and Communication Technologies (ICT-ACT) Teaching Contributions Ribarski participates in teaching a broad spectrum of courses at the Institute of Informatics, including Data Structures, Network Operating Systems, Security and Cryptography, Wireless and Mobile Technologies, Software Project Management, Software Design and Architecture, Operating Systems, and Software Requirements.

• Blockchain
• Data Mining
• Cybersecurity
• +۳ مورد دیگر

Азир Алиу serves as a Full Professor in the Faculty of Technical Sciences at South East European University (SEEU) in Tetovo since September 2022, employed on a part-time basis. His role centers on advancing computer science research and education within the university's technical disciplines. His research spans blockchain applications in higher education and real estate, data mining for academic/job market alignment, cybersecurity frameworks, and natural language processing for Albanian language analysis. He pioneers practical implementations of blockchain for institutional management and develops sentiment analysis tools for low-resource languages, bridging theoretical computer science with societal challenges in Southeast Europe. Recent publications (2023-2024) reveal a strong focus on blockchain-driven solutions for research evaluation systems and real estate management, alongside cybersecurity threat analysis. His work consistently targets institutional innovation in North Macedonia, with emerging emphasis on AI-driven curriculum-market alignment and Albanian NLP techniques, demonstrating a trajectory toward locally relevant technological interventions.

• Language Learning Methodologies
• Artificial Intelligence in Education
• English Language Teaching
• +۷ مورد دیگر

Shpresa Mustafai is a full-time Lecturer at the Faculty of Languages, Cultures and Communication within South East European University . She has been an active academic staff member, contributing to various research initiatives and publications in English language education. Academic Rank: Lecturer Affiliation: Faculty of Languages, Cultures and Communication Institution: South East European University Email: sh.mustafai@seeu.edu.mk Her research spans multiple subfields of language education, including artificial intelligence integration in learning, educational technology implementation, and psychological aspects of language acquisition. Key areas of focus include: AI tools for vocabulary retention Mindfulness-based anxiety reduction Soft skills development in technical education Coaching techniques in ELT ESP curriculum design Emotional intelligence in language learning Recent publications demonstrate a strong emphasis on practical applications in language teaching, combining technological innovation with psychological approaches. Her work frequently appears in regional academic conferences and journals across North Macedonia, Albania, and Austria. While the faculty website does not specify awards or student advisories, her collaborative research with colleagues like Merita Ismaili and Lumturie Bajrami indicates active participation in educational research networks. She has contributed to studies on Google Classroom implementation, TED-Ed integration, and Multiple Intelligence-based motivation strategies.

• Data Analytics
• Predictive Modeling
• Machine Learning
• +۶ مورد دیگر

Адриан Бесими is a Full Professor and Dean at the Faculty of Modern Sciences and Technologies, South East European University (Tetovo, North Macedonia). He holds a Ph.D. in Computer Science from SEEU (2013) with a focus on B2B process integration for SMEs, and an M.Sc. from IUPUI (2007) in Mobile Application Development in e-Learning. His expertise spans data analytics, AI-driven education, federated learning, cryptocurrency prediction, and disaster response systems. He has held administrative roles including Pro-Dean for Undergraduate Studies (2007–2016) and currently oversees faculty administration. His research emphasizes predictive modeling in education, healthcare, and financial systems. Over 35+ peer-reviewed publications since 2016 highlight his work in AI applications, data mining, and educational technology. Education: Ph.D. in Computer Science (2013), South East European University M.Sc. in Computer Sciences (2007), IUPUI, USA B.Sc. in Computer Sciences (2005), South East European University Research Interests: Data analytics for education and healthcare, federated learning in medical data sharing, cryptocurrency price prediction algorithms, AI-based literature reviews, and pandemic-era technology adoption. His work bridges theoretical computer science with practical applications in disaster management, e-commerce frameworks, and social media analysis. Grants/Projects: Led multi-country projects on knowledge transfer in multinational manufacturing networks and the German Embassy-funded government intranet system (2005). Active in EU-funded research collaborations through SEEU's international partnerships. Labs/Teams: Oversees the Faculty's AI & Data Science research group focusing on education technology and healthcare informatics applications.

• Machine Learning
• Data Mining
• Web Programming
• +۵ مورد دیگر

Xhemal Zenouni is a Full Professor and currently serves as Dean of the Faculty of Modern Sciences and Technologies at South East European University (SEEU) in Tetovo, North Macedonia. He holds a PhD in Computer Sciences from the Technical University of Sofia (Bulgaria), specializing in 'QoS Aware Semantic Service Composition via AND/OR Graphs.' His academic career spans over two decades, with roles including Acting Dean, Vice-Dean, and Associate/Assistant Professor at SEEU. Education: PhD in Computer Sciences (2012): Technical University of Sofia, Sofia, Bulgaria MSc in Internet Software Technologies (2005): New Bulgarian University, Sofia, Bulgaria BSc in Computer Sciences (2003): South East European University, Tetovo, Macedonia Research Interests: Machine Learning and AI applications in education, agriculture, and social media IoT-driven smart systems for agriculture and urban planning Cloud computing architectures and metadata-driven data integration Web programming, distributed systems, and game development Algorithmic solutions for hate speech detection and ethical AI Articles Trends: His recent work focuses on predictive modeling for student success, hate speech detection in Albanian social media, IoT-based agricultural systems, and cloud-agnostic data integration frameworks. Over 30 publications since 2017 highlight contributions to machine learning, data mining, and technology-driven solutions for societal challenges. Leadership Roles: Dean (2023–Present) Acting Dean (2023) Vice-Dean for Academic Affairs (2016–2021) Pro-Dean for Academic Issues (2004–2008) Labs/Teams: Leads interdisciplinary teams in SEEU's Faculty of Modern Sciences and Technologies, focusing on AI, IoT, and educational technology projects.

Elena Hadzievaمشاهده پروفایل

استاد

• Fractal Geometry
• Iterated Function Systems
• Computer Aided Design
• +۴ مورد دیگر

Elena Hadzieva, PhD, is a Full Professor and currently serves as Dean of the Faculty of Information Systems, Visualization, Multimedia and Animation at the University of Information Science and Technology ‘St. Paul the Apostle’ in Ohrid, North Macedonia. She holds a PhD in Mathematics from the University ‘Ss. Cyril and Methodius’ (Skopje) with a thesis on Iterated Function Systems. Her academic journey includes roles from Assistant Professor (2004) to Associate Professor (2015) before attaining Full Professor status in 2020. Education: PhD in Mathematics (2009), University ‘Ss. Cyril and Methodius’, Skopje MSc in Mathematics (2004), University ‘Ss. Cyril and Methodius’, Skopje BSc in Mathematics (1999), University ‘Ss. Cyril and Methodius’, Skopje Research focuses on Fractal Geometry, Dynamical Systems, and Educational Mathematics, with contributions to software applications for fractal modeling and interdisciplinary STEM education. Recent work addresses medical imaging challenges, pandemic-era online teaching, and analog circuit design. Her articles reflect multidisciplinary engagement: combining fractal analysis with medical diagnostics (e.g., melanoma detection), developing educational tools for 3D fractals, and analyzing pandemic-era pedagogical innovations. She also contributes to electrical engineering through low-power amplifier designs and fault-tolerant systems. Professional roles include Membership in the American Mathematical Society (AMS), Macedonian Mathematical Society, and leadership in CEEPUS networks (e.g., Active Methods in Teaching Mathematics). She serves as National Contact Point for SEFI’s Mathematics Working Group and Editor of the journal Numerus. Her administrative leadership includes coordinating national STEM education initiatives and managing interdisciplinary academic programs. She has pioneered software tools for fractal visualization and contributed to defense technology via IR imaging research.

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.

Marko Porjazoskiمشاهده پروفایل

استاد

• Telecommunications
• Network Security
• Quality of Service (QoS)
• +۶ مورد دیگر

Marko Porjazoski is a Professor at the Faculty of Electrical Engineering and Information Technologies, University Ss. Cyril and Methodius, Macedonia. His academic roles include Professor (2021–present), Associate Professor (2017–2021), and Assistant Professor (2012–2017). He holds a Ph.D. in Telecommunications (2012), M.Sc. (2006), and Dipl.Ing. (2000) from the same institution. His research focuses on telecommunications, wireless networks, Quality of Service (QoS), LTE/LTE-Advanced, and network security. He has authored over 20 peer-reviewed publications, including works on network forensics, OTT billing systems, and interference coordination in LTE. His teaching spans undergraduate and postgraduate courses in network forensics, telecommunications services, and smart society ICT solutions. He leads projects on network performance analysis and security, with recent work emphasizing cloud-based video streaming and deep learning for cybersecurity. Education: Ph.D. in Telecommunications, 2012 M.Sc. in Telecommunications, 2006 Dipl.Ing. in Electronics and Telecommunications, 2000 Research Interests: Wireless network optimization, LTE/LTE-Advanced QoS management for video/OTT services Network forensics and cybersecurity Radio access technology selection Key Contributions: Developed a Service Quality Testing System for mobile networks Proposed architectures for OTT billing systems Analyzed fractional frequency reuse in LTE Designed algorithms for heterogeneous network performance Labs/Teams: Telecommunications Institute at FEIT.

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.

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.