Adnan Yazici [+]
Department Chair and Full Professor
Prof. Dr. Adnan Yazici received his Ph.D. degree in Computer Science from the Department of EECS, Tulane University, LA, USA, in 1991. Before joining Nazarbayev University as the Chair of the Department of Computer Science, he had been a Full Professor and the Chair of the Department of Computer Engineering, Middle East Technical University, Ankara, Turkey, where he had been also the Director of the Multimedia Database Laboratory. He has published over 200 international technical papers and co-authored/edited three books entitled Fuzzy Database Modeling (Springer), Fuzzy Logic in its 50th Year: New Developments, Directions and Challenges (Springer), and Uncertainty Approaches for Spatial Data Modeling and Processing: A Decision Support Perspective (Springer). He was a recipient of the IBM Faculty Award in 2011 and the Parlar Foundation’s Young Investigator Award in 2001. He was the Conference Co-Chair of the 23rd IEEE International Conference on Data Engineering in 2007, the 38th Very Large Data Bases in 2012, and the 23rd IEEE International Conference on Fuzzy Systems in 2015. He is currently an Associate Editor of the IEEE Transactions on Fuzzy Systems and a member of the Fuzzy Systems Technical Committee of the IEEE Computational Intelligence Society.
His current research interests include intelligent database systems, multimedia and video databases and information retrieval, wireless multimedia sensor networks, data science, and fuzzy data modeling.
SOME of RESEARCH PROJECTS
“An Efﬁcient Data Aggregation Approach for Multi-Hop Wireless Sensor Networks,” supported by Nazarbayev University.
“Location-based control and management system for safety warning and emergency rescuing services using LTE D2D technology,” supported by Newton Fund / BC Institutional Links Program.
“Design and Development of a Fusion-Based Framework for Surveillance Applications in Wireless Multimedia Sensor Networks”, supported by TUBITAK.
“Semantic Content Extraction, Storage and Querying of Visual, Audio, and Text Data in Videos”, supported by TUBITAK.