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Jaumin AjdariView profile

Professor

• Parallel Processing
• Wavelet Transforms
• Machine Learning
• +7 more

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

Ivan ChorbevView profile

Assistant Professor

• Combinatorial optimization
• Heuristic algorithms
• Constraint programming
• +5 more

Ivan Chorbev, Ph.D. is an Assistant Professor at the Institute for Computer Science and Engineering , Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje, North Macedonia. Since 2009 he has taught courses ranging from Structured Programming to Computer Animation and consulted on numerous EU and national ICT projects. Education B.Sc., Faculty of Electrical Engineering, Skopje, 2004 M.Sc., Faculty of Electrical Engineering, Skopje, 2006 Ph.D., Faculty of Electrical Engineering and Information Technologies, Skopje, 2009 Research Interests His work integrates combinatorial optimization and machine learning to solve complex real-world problems. Core themes include designing heuristic algorithms and constraint programming models for scheduling, resource allocation and telemedicine systems, developing medical expert systems that leverage knowledge extraction and predictive modeling, and creating web-based platforms for e-health, smart living and educational services. Publication Trends Over 70 peer-reviewed works (2005-2014) reveal a clear trajectory from foundational optimization and constraint-solving research toward interdisciplinary applications in telemedicine , social media analytics , and assistive technologies . A notable 2011-2014 surge focuses on cloud-supported e-health systems, 3-D printing for assistive devices, and mining social media for epidemiological insights. Scientific Awards Golden engineering ring – awarded by the Organization of Engineers of Macedonia for best student of his generation. Projects & Funding Risk Assessment for Customs in Western Balkans – FP6 COST IC0602 Algorithmic Decision Theory – management committee member (FP6) COST IC1002 MUMIA – management committee member (FP7) E-HFISN – e-Health applications using folksonomy & social networks (FP7) TEMPUS – Innovation and Knowledge Management toward eStudent Information System Laboratory & Team He conducts research within the Institute for Computer Science and Engineering laboratories, supervising graduate projects in optimization, medical informatics and smart environments.

Aleksandar StojkovView profile

Professor

• European Integration
• Public Debt Management
• Financial Economics
• +7 more

Dr. Aleksandar Stojkov is a Full Professor at the Ss. Cyril and Methodius University in Skopje, affiliated with the Faculty of Law under the Department of Economic Sciences. His teaching spans first-cycle courses in Economics (Legal Studies), second-cycle courses like Business Finance and Economics of Intellectual Property, and third-cycle studies on Public Debt Management. Academic Rank: Professor Department: Economic Sciences Teaching Subjects: Economics, Business Finance, Public Debt Management Contact: a.stojkov@pf.ukim.edu.mk His research focuses on European integration, public debt dynamics, shadow banking, and monetary policy. He employs empirical models like panel cointegration and structural entropy analysis, with recent work on Western Balkans' EU prospects and real-time data applications in trade economics. Recent publications highlight trends in EU integration challenges, fiscal prudence mechanisms, and the interplay between macroeconomic factors and financial systems in Central/Eastern Europe.

Nuhi BesimiView profile

Assistant Professor

• Machine Learning
• Artificial Intelligence
• Data Mining
• +6 more

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.

Agron ÇaushiView profile

Associate Professor

• Economic Sciences
• Information Systems
• E-Government
• +6 more

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.

• Natural Language Processing
• Speech Technologies
• Representation Learning
• +6 more

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).

• Information Systems
• e-Government
• ERP Systems
• +3 more

Агрон Чауши is an Associate Professor at the Faculty of Business and Economics of South East European University in Tetovo, North Macedonia. He holds a PhD in Economic Sciences with a specialization in Information Systems, a Master of Science in Information Systems from Indiana University, and a Bachelor of Arts in Business Administration from the same university. PhD: Economic Sciences (Information Systems), SEEU (2012-2017) MS: Information Systems, Indiana University (2006-2007) BA: Business Administration, SEEU (2001-2005) His research focuses on the intersection of information systems and economics, particularly e-Government maturity models, ERP system implementations, and machine learning applications in education and healthcare. Recent work explores AI ethics, digital organizational transformation, and renewable energy automation. Publications between 2016-2025 demonstrate consistent engagement with information systems, e-Government, and business analytics. Key article keywords include artificial intelligence, ERP systems, digitalization, and renewable energy technologies. Sub-fields span machine learning applications, data mining, and educational analytics. He teaches business and technology courses at SEEU, having held progressively senior roles from Junior Assistant (2005-2009) to current Associate Professor (2023-present). His professional experience includes systems analysis at Indiana University's Kelley School of Business and consulting at SEEU's Business Development Center.

Zamir DikaView profile

Professor

• Information Systems
• ERP Implementation
• E-learning Technology
• +5 more

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.

• E-Business
• Digital Transformation
• Green Skills
• +6 more

Marjan Angeleski is a researcher at the University St. Kliment Ohridski - Bitola, North Macedonia. He has published extensively in fields like E-Business, Digital Transformation, and Innovation Management, with a focus on labor market intelligence, educational technology, and SME development. Research Interests Green Skills and Labor Market Gaps Digital Learning Post-Pandemic Social Media in Workplace Dynamics Blockchain in Financial Systems Entrepreneurship in Higher Education Recent Article Trends : His work spans 2024-2009, emphasizing digital tools in education, green economy policy, and ICT-driven innovation. Key topics include skill gap analysis, e-learning frameworks, and social media's role in productivity. Emails : marjan.angeleski@uklo.edu.mk, angeleskimarjan@gmail.com

Arbana KadriuView profile

Professor

• Natural Language Processing
• Computer Science
• VR/AR in Education
• +9 more

Arbana Kadriu is a Full Professor at the Faculty of Contemporary Sciences and Technologies of South East European University , with a full-time academic engagement since 2019. She previously held academic positions as Associate Professor (2013-2019), Assistant Professor (2008-2013), and various educational roles dating back to 1998. PhD in Computer Sciences (2008) from Faculty of Natural Sciences and Mathematics, Institute of Informatics, Ss. Cyril and Methodius University MSc in Electrical Technical Sciences (2002) from Electrotechnical Faculty, Ss. Cyril and Methodius University Engineer of Informatics (1997) from Faculty of Natural Sciences and Mathematics, Institute of Informatics, Ss. Cyril and Methodius University Her research focuses on Natural Language Processing , VR/AR in education , E-Learning systems , and gender gap analysis in computer science . Her recent publications analyze authorship attribution in Albanian texts, ethno-fusion music datasets, and educational technology trends, while historic work includes text classification and bibliometric studies. Arbana's academic contributions include 40+ publications across diverse topics: Albanian language processing Virtual/Augmented Reality applications Gender dynamics in computing Learning analytics Information retrieval systems Software engineering pedagogy

Xhemal ZenuniView profile

Professor

• Computer Science
• Machine Learning
• Internet of Things (IoT)
• +7 more

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.

Ermira IdriziView profile

Assistant Professor

• Educational Technology
• Artificial Intelligence in Education
• Online Learning Systems
• +5 more

Ermira Idrizi is an Assistant Professor at the Faculty of Technical Sciences , South East European University. With expertise in Educational Technology and Artificial Intelligence in Education , her work focuses on adaptive learning systems, online learning analytics, and gender differences in STEM education. She also explores applications of IoT in Agriculture and Cyberbullying Detection in social networks. Languages: English (C2), German (C2) Engagement: Full-time faculty Her research spans Explainable AI for educational applications, Learning Styles (VARK model), and Hybrid Learning frameworks developed during the post-pandemic transition. Recent work includes predictive models for smart agriculture using IoT sensor data and classification systems for cyberbullying detection in social networks. Ermira's publications emphasize data-driven pedagogical approaches , analyzing success indicators in online learning environments, and developing web-based tools for assessing teachers' digital competencies. Her interdisciplinary work bridges Machine Learning with Educational Psychology , focusing on personalized learning experiences.

Azir AliuView profile

Professor

• Computer Science
• Information Technology
• Cybersecurity
• +3 more

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 RaufiView profile

Associate Professor

• Data Mining
• Semantic Web
• Machine Learning
• +4 more

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.

• Information Systems
• Enterprise Resource Planning
• Artificial Intelligence in Education
• +4 more

Dr. Blerta Abazi Çaushi serves as an Associate Professor at the Faculty of Business and Economics, South East European University (SEEU) in Tetovo, North Macedonia. With full-time academic engagement since 2008, she teaches across economics, business administration, and information systems disciplines including Principles of Micro/Macroeconomics, Business Information Systems, and E-Commerce. Her educational background includes: PhD in Economic Sciences (2012-2017) specializing in Information Systems with thesis "Optimizing Information Systems in Higher Education Institutions" Master of Science in Information Systems from Indiana University's Kelley School of Business (2006-2007) Bachelor of Arts in Business Administration with Finance specialty from SEEU (2001-2005) Research focuses on the intersection of information technology and business transformation, with particular expertise in enterprise systems, digital transformation, and AI applications in education. Her work demonstrates consistent investigation into how technological innovations reshape organizational structures in both educational and commercial contexts. Key themes include ERP implementation challenges, business analytics in higher education, and the socio-economic impacts of digital transformation. Analysis of her 15 most recent publications reveals a strong methodological emphasis on comparative analysis and literature reviews, with growing attention to AI ethics and sentiment analysis. Geographically, her research maintains deep engagement with North Macedonia's institutional landscape while contributing to international discourse through publications with Springer Nature and IEEE. Professional activities extend beyond research to include significant administrative roles: Program Coordinator for the ISM Dual Degree Program with University of London (2009-2013) Development of academic planning modules for university ERP systems Advisory work for the Ministry of Economy including $14.9 million project portfolio coordination