mfd_pict

Fatih Demirci, PhD


Department: Computer Science
Position: Associate Professor
Degree: PhD in Computer Science, Drexel University, USA.
Office: 7e.424
Email: muhammed.demirci@nu.edu.kz
Phone: + 7 (7172) 694861
Website: https://cs-sst.github.io/faculty/demirci
Dr. Demirci received his Ph.D. from computer science department, Drexel University, USA in 2005. After working as a postdoctoral research scientist in a EU-sponsored research project in Utrecht University, The Netherlands, he joined computer engineering department, TOBB University of Economics and Technology (TOBB ETU), Turkey as a faculty member in 2007. Dr. Demirci worked in TOBB ETU as an assistant/associate professor for 11 years until 2018 and was PI for 3 different research projects supported by TUBITAK (The Scientific and Technological Research Council of Turkey). In the meantime, Dr. Demirci was the executive committee member for Turkish Informatics Olympiads, representing Turkey as a team leader/deputy team leader in International Olympiads in Informatics (IOI) and Balkan Olympiads in Informatics (BOI) between 2011 and 2018. He has taught a number of courses including computer vision, image processing, algorithm analysis, artificial intelligence, programming languages, discrete math, and introduction to programming. Dr. Demirci has been with Nazarbayev University, computer science department since August 2018.
 
 
 
Publications include:
 
Journal Articles 
A. Boluk and M.Fatih Demirci. Object Recognition based on Critical Nodes. Pattern Analysis and Applications, DOI: 10.1007/s10044-018-00777-w, 2019 (in press). 
Y. Sirin and M.Fatih Demirci. 2D and 3D Shape Retrieval using Skeleton Filling Rate. Multimedia Tools and Applications, Volume 76, Issue 6, pp 7823-7848, 2017.
M. Akimaliev and M.Fatih Demirci. Improving Skeletal Shape Abstraction using Multiple Optimal Solutions.Volume 48, Issue 11, pp 3504–3515, Pattern Recognition, 2015.
M.Fatih Demirci. Retrieving 2D Shapes using Caterpillar Decomposition. Machine Vision and Applications, Volume 24, Issue 2, pp 435-445, 2013.
A. Shokoufandeh, Y. Keselman, M.Fatih Demirci, D. Macrini, and S. Dickinson. Many-to-many Feature Matching in Object Recognition: A Review of Three Approaches. IET Computer Vision, Volume 6, Issue 6, 2012.
M.Fatih Demirci. Graph-based Shape Indexing. Machine Vision and Applications, Volume 23, Number 3, pp 541-555, 2012.
M.Fatih Demirci, Y. Osmanlioglu, A. Shokoufandeh, S. Dickinson. Efficient Many-to-Many Feature Matching under the l1 norm. Computer Vision and Image Understanding (CVIU), Volume 115/7, pp 976-983, 2011.
M.Fatih Demirci, B. Platel, A. Shokoufandeh, L. Florack, S. Dickinson. The Representation and Matching of Images using Top Points. Journal of Mathematical Imaging and Vision (JMIV), Volume 35/2, pp 103-116, 2009.
M.Fatih Demirci, A. Shokoufandeh, and S. Dickinson. Skeletal Shape Abstraction from Examples. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 31, Number 5, pp 944-952, 2009.
M.Fatih Demirci, R. van Leuken, R. Veltkamp. Indexing through Laplacian Spectra.Computer Vision and Image Understanding (CVIU), Volume 110/3, pp 312-325, 2008.
M.Fatih Demirci, A. Shokoufandeh, Y. Keselman, L. Bretzner, and S. Dickinson.Object Recognition as Many-to-Many Feature Matching. International Journal of Computer Vision (IJCV), Volume 69, Number 2, August, pp 203-222, 2006.
A. Shokoufandeh, L. Bretzner, D. Macrini, M.Fatih Demirci, C. Jonsson, and S. Dickinson. The Representation and Matching of Categorical Shape. Computer Vision and Image Understanding (CVIU), Volume 103, pp 139-154, 2006.