Duygu Çelik ErtuğrulView profile
Professor
Professor Duygu Çelik Ertuğrul is a faculty member in the Computer Engineering Department at the Eastern Mediterranean University (EMU), Faculty of Engineering, located in Famagusta, North Cyprus. She has been affiliated with EMU since her undergraduate studies and has steadily advanced through the academic ranks, achieving Professor status in 2022 after serving as Associate Professor since 2017 and Assistant Professor since 2010. Her educational background includes a comprehensive foundation in both technical and healthcare domains. She earned her Ph.D. (2005-2010), MS (2003-2005), and BS (1999-2003) all in Computer Engineering from Eastern Mediterranean University. Notably, she also holds a BS in Healthcare Services from Kocaeli University (1994-1998), which has significantly informed her interdisciplinary research approach. Professor Ertuğrul's research spans the intersection of semantic web technologies, artificial intelligence, and healthcare applications. Her work focuses on developing intelligent systems that leverage semantic technologies for practical applications in e-health, m-health, and personalized recommendation systems. She has pioneered research in semantic web services composition, ontology-based decision support systems, and AI-powered healthcare solutions. Her recent publications demonstrate a clear trajectory toward increasingly sophisticated applications of AI and semantic technologies, particularly in job recommendation systems, healthcare diagnostics, and accessibility solutions for diverse user groups. Her publication record shows consistent productivity with multiple EMU Research Incentive Awards (2020-2022). The most recent works reveal a strategic expansion into LLM-powered recommendation systems, specialized applications for underserved communities, and broader examinations of AI's societal impact across various sectors. EMU Research Incentive Award (2022) EMU Research Incentive Award (2021) EMU Research Incentive Award (2020) Professor Ertuğrul has supervised an extensive number of graduate students, currently guiding three PhD candidates while having successfully supervised numerous MS theses. Her students' work consistently aligns with her research interests, focusing on medical AI applications, semantic web technologies, and recommendation systems. She has also served as project coordinator for capstone projects in software engineering, demonstrating her commitment to practical, hands-on education. Her research has been supported by university, government, and industrial funding sources, enabling the development of various healthcare knowledge systems and semantic web applications.







