PHD at Istanbul Okan University, Turkey
Emel Koç is a Computer Engineering Ph.D. candidate at Istanbul Okan University, specializing in image analysis with machine learning and deep learning approaches. With a background in Information Systems and Technologies from Bilkent University, Emel has held various leadership roles at Istanbul Okan University, focusing on sustainability, innovation, and learning application. She has contributed significantly to projects in clinical decision support systems and mobile game-based learning. Emel’s research, particularly in neuroimaging and biomedical image analysis, showcases her expertise in applying advanced computational techniques to solve real-world problems. Passionate about education, she also teaches courses in Artificial Intelligence and Management Information Systems.
Professional Profiles:
Orcid profile
Education:
Ph.D. Istanbul Okan University, Istanbul Institute of Science, Computer Engineering (2013 – 2024) Msc. Istanbul Okan University, Istanbul Institute of Science, Computer Engineering (2011 – 2013) B.S. Bilkent University, Ankara Faculty of Applied Sciences, Information Systems and Technologies (2006 – 2010)
Experience
Sustainability and Innovation Center Assistant Director, Istanbul Okan University, Istanbul (02.08.2023 – Present) Learning Application and Research Center Director, Istanbul Okan University, Istanbul (01.10.2012 – Present) IT Expert, Istanbul Okan University, Istanbul (25.10.2010 – 01.10.2012) Application Development Intern, Acıbadem Hospital, Istanbul (17.08.2009 – 17.02.2010)
Projects
INTOUCH-ICT Project: “ICT Professionals in Touch: New nonroutine skills via mobile game-based learning” (2013 – 2015) Master Thesis: Clinical decision support systems: Methods and applications (2012 – 2013) Multiplatform M-Learning System for More Qualified Courses in the ICT Era (2012)
Teaching
Instructor at Istanbul Okan University covering Artificial Intelligence, Neuroscience and Neuroimaging, and Management Information Systems
Honors & Awards
Received the Blackboard Catalyst Awards – Leading Change in 2021 for contributions to hybrid education transformation.
Research Focus:
Emel Koç’s research primarily focuses on the application of machine learning and data analysis techniques in healthcare and education domains. Her work spans diverse topics such as autism spectrum disorder detection using neural networks, comparative studies on feature selection methods for analyzing medical data, and the implementation of game-based education strategies. Additionally, Emel has contributed to research in clinical decision support systems and the evaluation of classification algorithms for medical diagnoses. Her interdisciplinary approach combines computer science and healthcare management, emphasizing innovation in leveraging technology to improve healthcare outcomes and educational practices.
Publications (TOP NOTES)
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