Keynote Speakers
Prof. Dr. Ana Campina
University Fernando Pessoa, Portugal
Keynote Title: “The Human Rights Generations and the Artificial Intelligence”
Prof. Dr. Carlos Rodrigues
University Fernando Pessoa, Portugal
Keynote Title: “The Human Rights Generations and the Artificial Intelligence”
Prof. Dr. Özcan Asilkan
Senior Lecturer
Business Analytics Department
Higher Colleges of Technology
Abu Dhabi, United Arab Emirates
Keynote Title: AI-Powered Personalized Learning Pathways
Bio: Prof. Dr. Özcan Asilkan is an accomplished Computer Science Engineer and Academic with a robust background
spanning higher education and multiple industries, including software development, data analysis, manufacturing,
tourism, and healthcare. His research interests cover a broad range of interdisciplinary topics such as
Management Information Systems (MIS), Business Analytics, Computer Science, Database Systems, Data
Mining, Customer Relationship Management (CRM), and Hospitality Management.
With nearly 30 years of combined academic and industry experience, Prof. Asilkan has held numerous teaching
and professional engagements across almost 10 countries and 15 universities worldwide.
In academia, he has served in various leadership and instructional capacities; including Dean, Chair, and
Lecturer, and has taught a wide array of courses while publishing nearly 70 academic papers. He has also
participated as a Chair and Keynote Speaker at more than 10 international conferences.
As a Computer Science Engineer, Prof. Asilkan has undertaken diverse professional roles such as Systems
Analyst, Database Administrator, Application Developer, and Consultant, contributing to several major projects,
including the implementation of CRM and ERP systems.
Since July 2024, he has been serving at the Higher Colleges of Technology (HCT) in Abu Dhabi, United Arab
Emirates.
Prof. Dr. Huseyin Uzunboylu
Professor of Educational Technology
Associate Professor, Educational Sciences (Instructional Technology) (UAK-Turkey); Associate Professor, Computer Education and Instructional Technology; Ph.D. Special Education; Ph.D. Computer Education and Instructional Technology.
Keynote Title: “Publishing in High Impact Factor International Journals; with Present Examples”
Prof. Dr. Bekim Fetaji
Full Professor
Faculty of Informatics
Mother Teresa University
Skopje, North Macedonia
Email: bekim.fetaji@unt.edu.mk
Keynote Title: Redefining Data Analytics through Generative Models
Biography: Bekim Fetaji is Full Professor of Informatics (Computer Sciences) at University Mother Teresa, Skopje, North Macedonia. Received his PhD in Computer Sciences at the Faculty of Computer Sciences in Graz University of Technology in 2008. He received his master’s degree from Oxford Brookes University, Oxford, England UK. He was Visiting Professor at Staffordshire University UK, Tokyo University of Agriculture and Engineering, Japan, OREBRO University, Computer Science, Sweden, Canadian Institute of Technology, Tirana, Albania, Rochester Institute of Technology RIT, campus Prishtina, Kosovo,
University of Novi Pazar, Serbia and other Universities. More than 25 years of teaching experience and working in higher education in different Universities in the region and abroad. Lectured in 4 languages in different Universities: English, Albanian, Macedonian, Serbian language.
Participated in several project within different programs such as Tempus, Erasmus and other national and international research projects. Published more than 150 scientific papers in international conferences most of them in IEEE and ACM and more than 30 international journals, some of them with ISI Web of Science impact factor. Published 9 (nine) academic textbooks and 2 (two) books in English that can be found online at Amazon. Keynote speaker in many conferences among others also in IEEE Conferences (Reference: https://iccece23.theiaer.org/keynote.html).
Main research interest and published work is in enhanced technology enhanced education, programming and lately Data science with AI and machine learning, Data processing with Data Analytics and closely related fields.
Prof.Dr. Majlinda Fetaji
Full Professor
Faculty of Computer Sciences and Technologies
South East European University
Tetovo, North Macedonia
Email: m.fetaji@seeu.edu.mk
Keynote Title: The AI-Driven Transformation of Business Models
Biography: Professor Dr. Majlinda Fetaji is a Full Professor of Computer Science with over 25 years of teaching experience in education. She received her Master’s degree in 2007 from the Faculty of Electrical Engineering, Department of Computer Techniques, at the University of Saints Cyril and Methodius. In 2010, she earned her Ph.D. in Computer Science from South East European University (SEEU). Since 2020, Professor Fetaji has been serving as a Full Professor, teaching undergraduate and master’s programs. Her courses include Structural Programming, Object-Oriented Programming in C++ and Java, Mobile Programming in Android Studio, Algorithms and Data Structures in C++ and Java, React Native, and related subjects. In recognition of her contributions to research, she was awarded the “Researcher of the Year” prize in 2009 by the Macedonian Academy of Sciences and Arts. She has been a visiting professor at numerous universities in the region and participated in the Erasmus program at OREBRO University, Computer Science, Orebro, Sweden. Actively involved in academic development, she engages in Ph.D. retreats, doctoral school seminars, and workshops. She has also served as a co-mentor for a Ph.D. student from UGD University in Shtip and holds certification as an approved Ph.D. mentor from the State Board of Accreditation. Professor Fetaji lectures in English, Albanian, Macedonian, and Serbian-Croatian. Her research focuses on technology-enhanced education, e-learning, m-learning, programming human-computer interaction (HCI), and mobile device programming. She has published over 160 research papers, most of which appear in IEEE and ACM conferences, and more than 50 articles in international journals, many indexed in the ISI Web of Science with impact factors.





