Dr. Diyar Qader Zeebaree
Lecturer, Northern Technical University (NTU), Technical Engineering Department, College of Computer and AI, Quality Assurance Department. Dr. Diyar Qader Zeebaree is a distinguished academic and researcher currently holding the position of Lecturer in the Technical Engineering Department at Northern Technical University (NTU), where he also contributes to the Quality Assurance Department. Prior to his appointment at NTU, he served as the General Director of the Research Centre at Duhok Polytechnic University, Duhok, Iraq. Dr. Zeebaree earned his Ph.D. in Computer Science from University Technology Malaysia (UTM) in 2020, specializing in Artificial Intelligence (AI), where his research has made significant contributions to advancing the field. He also holds an MSc in Computer Information Systems (CIS) from Near East University, North Cyprus, Turkey (2014), and a B.Sc. in Computer Science from the University of Nawroz, Iraq (2012). An active researcher and author,

Dr. Zeebaree has published over 60 peer-reviewed articles, many of which are indexed in esteemed academic databases, including Scopus and Web of Science. His scholarly impact is reflected in his citation metrics, with over 3,520 citations on Google Scholar, an h-index of 28, 1,275 citations on Scopus with an h-index of 21, and 280 citations on Web of Science (WOS) with an h-index of 8. In addition to his numerous research articles, Dr. Zeebaree is the author of a book.

Dr. Zeebaree’s research primarily focuses on artificial neural networks, machine learning, deep learning, medical image analysis, and image processing, with diverse applications across several domains, including healthcare. His work has been recognized with awards, including the Symposium Paper Award at the IEEE International Conference on Advanced Science and Engineering (ICOASE) in 2019.
Beyond his research and teaching roles, Dr. Zeebaree serves as a respected reviewer for several prestigious academic journals, including IEEE Access, Sensors Journal, Healthcare, Applied Artificial Intelligence, Biomedical Signal Processing and Control and BioMed and other journals, all indexed in web of science (WOS). His expertise in AI and image processing continues to significantly contribute to the advancement of cutting-edge technologies.