From April 2013 onwards, I have been working with Prof. Josef Kittler as a research associate at the Centre for Vision, Speech and Signal Processing (CVSSP) in the University of Surrey, specializing in anomaly detection. Check this out if you would like to find more about it. 

Throughout my Master's and PhD., I had mainly worked under the supervisions of ​Dr. Terry Windeatt​ and Prof. Josef Kittler at the University of Surrey. During my PhD., I had also carried out some collaborative research with Dr. Berrin Yanıkoğlu, Prof. Ethem Alpaydın and Dr. Oriol Pujol at Sabancı University ​/ Turkey, Boğaziçi University / Turkey and the ​​University of Barcelona ​/ Spain ​respectively. 

My research interests on ensemble classification have been concentrated specifically on bias and variance analysis of ensembles, novel pruning methods applied to Error Correcting Output Coding (ECOC) and bagging ensemble frameworks; and suboptimal encoding strategies developed for ECOC.


In addition to research, I have also fulfilled teaching assistantship and lab demonstration duties for several undergraduate and postgraduate level courses.  I will be happy to share my CV upon request.

Additionally, you may find a list of my publications below. 







C.Zor and J.Kittler: Maritime Anomaly Detection in Ferry Tracks, Proceedings of ICASSP, 2017.

M. Ponti, J. Kittler, M.Riva, T. de Campos, C. Zor: A decision cognizant Kullback-Leibler divergence, Pattern Recognition 61, 470-478, 2017.

C.Zor, B. Yanikoglu, E. Merdivan, T.Windeatt, J. Kittler, E. Alpaydin: BeamECOC: A local search for the optimization of the ECOC matrix, Proceedings of ICPR, 198-203, 2016,

J. Kittler and C.Zor: Delta divergence, A Novel Decision Cognizant Measure of Classifier Incongruence, arvix:1604.04451, 2016.

J. Kittler and C.Zor: A Measure of Surprise for Incongruence Detection, 2nd IET International Conference on Intelligent Signal Processing, 2015.

C.Zor: Analysing and pruning ensembles utilising bias and variance theory, University of Surrey, United Kingdom, 2014 (Ph.D. thesis).


C. Zor, T. Windeatt, J.Kittler: ECOC Matrix Pruning Using Accuracy Information. Multiple Classifier Systems, 386-397, 2013.

C. Zor, T. Windeatt, J.Kittler: ECOC Pruning using Accuracy, Diversity and Hamming Distance Information (Başarım, Çeşitleme ve Hamming Uzaklığı Kullanılarak Hata Düzelten Çıktı Kodu Budaması), IEEE 21th Signal Processing and Communications Applications Conference (SIU), 2013, (in Turkish).

T. Windeatt, C. Zor: Ensemble Pruning Using Spectral Coefficients. IEEE Trans. Neural Netw. Learning Syst. 24(4), 673-678, 2013.

T. Windeatt, C. Zor: Low Training Strength High Capacity Classifiers for Accurate Ensembles Using Walsh Coefficients. SSPR/SPR, 701-709, 2012.


T. Windeatt, C. Zor: Minimising Added Classification Error Using Walsh Coefficients. IEEE Transactions on Neural Networks 22(8), 1334-1339, 2011.

C. Zor, B. Yanıkoğlu: Optimization of the ECOC matrix (ECOC matris optimizasyonu), IEEE 19th Signal Processing and Communications Applications Conference (SIU), 944-947, 2011, (in Turkish).

C. Zor, T. Windeatt, B. Yanikoglu: Bias-Variance Analysis of ECOC and Bagging Using Neural Nets. Chapter in Ensembles in Machine Learning Applications. O. Okun, G. Valentini and R. Matteo (eds.), Germany: Springer, August 2011.

C. Zor, B. A. Yanikoglu, T. Windeatt, E. Alpaydin: FLIP-ECOC: A Greedy Optimization of the ECOC Matrix. 25th International Symposium on Computer and Information Sciences (ISCIS), 149-154, 2010.

C. Zor, T. Windeatt, B. Yanikoglu: Bias-Variance Analysis of ECOC and Bagging Using Neural Nets. ECML PKDD – Supervised and Unsupervised Ensemble Methods and Their Applications (SUEMA) workshop, 109-118, 2010.

S. Özöğür-Akyüz, C. Zor, G. Ünal: Plaque Classification in Ultrasound Images via Multi Class Classification with Error Correcting Output Codes (ECOC), Istanbul Conference on Mathematical Methods and Modelling in Life Sciences and Biomedicine, 2009, (abstract).

C. Zor, T Windeatt: Upper Facial Action Unit Recognition. 3rd IAPR/IEEE International Conference on Biometrics (ICB), 2009.

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