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Hüseyin Özkan Faculty of Engineering and Natural Sciences Faculty Member (216) 483 9594 huseyinozkansabanciunivedu
Jobs

Faculty Member


Education

B.Sc., Electrical-Electronics Engineering and Mathematics, Bogazici University, 2007
M.Sc., Electrical Engineering, Boston University, 2010
Ph.D., Electrical-Electronics Engineering, Bilkent University, 2015
Postdoctoral research, Brain and Congitive Sciences, Massachusetts Institute of Technology, 2016-2017

Areas of Interest

Machine Learning, Computer Vision, Signal Processing and Visual Neuroscience

Memberships

IEEE

Article
Publications Prior to SU

Journal:

Erhan Gundogdu, Huseyin Ozkan and A. Aydin Alatan, “Extending Correlation Filter based Visual Tracking by Tree-Structured Ensemble and Spatial Windowing”, IEEE Transactions on Image Processing, vol. 26, no. 11, pp. 5270-5283, Jul 2017.

Huseyin Ozkan, N. Denizcan Vanli and Suleyman S. Kozat, “Online Classification via Self-Organizing Space Partitioning”, IEEE Transactions on Signal Processing, vol. 64, no. 15, pp. 3895-3908, Aug 2016.

Huseyin Ozkan, Fatih Ozkan and Suleyman S. Kozat, “Online Anomaly Detection under Markov Statistics with Controllable Type-I Error”, IEEE Transactions on Signal Processing, vol. 64, no. 6, pp. 1435-1445, March 2016.

Huseyin Ozkan, Fatih Ozkan, Ibrahim Delibalta, and Suleyman S. Kozat, “Efficient NP Tests for Anomaly Detection Over Birth-Death Type DTMCs”, Journal of Signal Processing Systems (invited), 2016.

Huseyin Ozkan, S. Ozgun Pelvan and Suleyman S. Kozat, “Data Imputation through the Identification of Local Anomalies”, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 10, pp. 2381-2395, Oct. 2015.

Huseyin Ozkan, M. Ali Donmez, Sait Tunc and Suleyman S. Kozat, “A Deterministic Analysis of an Online Convex Mixture of Experts Algorithm”, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 7, pp. 1575-1580, July 2015.

Huseyin Ozkan, Arda Akman and Suleyman S. Kozat, “A Novel and Robust Parameter Training Approach for HMMs Under Noisy and Partial Access to States”, Signal Processing, vol. 94, pp. 490-497, Jan. 2014.

Conference:

Huseyin Ozkan, Sharon Gilad-Gutnick, Evan Christopher Ehrenberg and Pawan Sinha “Neural Correlates of Dynamic Face Perception”, Vision Sciences Society (VSS), 2017.

Erhan Gundogdu, Huseyin Ozkan and A. Aydin Alatan “Ensemble of Adaptive Correlation Filters for Robust Visual Tracking”, IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS), 2016.

O. Fatih Kilic, N. Denizcan Vanli, Huseyin Ozkan, et al, “Adaptive Hierarchical Space Partitioning for Online Classification”, IEEE European Signal Processing Conference (EUSIPCO), 2016.

Metin Aktas, Toygar Akgun and Huseyin Ozkan, “Yönlü Faz Temelli 3B Akustik Iyileştirme”, (National Conference - Turkish) IEEE Sinyal İşleme ve İletişim Uygulamaları (SIU), 2016.

O. Fatih Kilic, N. Denizcan Vanli, Huseyin Ozkan, et al, “Çevrimiçi Uyarlanabilen Hiyerarşik Uzay Bölüntüleyici Sınıflandırma”, (National Conference - Turkish) IEEE Sinyal İşleme ve İletişim Uygulamaları (SIU), 2016.

Erhan Gundogdu, Huseyin Ozkan, et al, “Comparison of Infrared and Visible Imagery for Object Tracking: Toward Trackers with Superior IR Performance”, IEEE International Workshop on Perception Beyond the Visible Spectrum (PBVS) in conjunction with Computer Vision and Pattern Recognition Conference (CVPR), 2015.

Metin Aktas, Toygar Akgun and Huseyin Ozkan, “Acoustic Direction Finding in Highly Reverberant Environment with Single Acoustic Vector Sensor”, IEEE European Signal Processing Conference (EUSIPCO), 2015.

N. Denizcan Vanli, Huseyin Ozkan and Suleyman S. Kozat, “Online Nonlinear Classification for High Dimensional Data”, IEEE International Congress on Big Data, 2015.

Metin Aktas, Duygu Buyukaydin, Toygar Akgun and Huseyin Ozkan, “Yüksek Yankı Altında Akustik Yön Bulma”, (National Conference - Turkish) IEEE Sinyal İşleme ve İletişim Uygulamaları (SIU), 2015.

Huseyin Ozkan, Fatih Ozkan, Ibrahim Delibalta and Suleyman S. Kozat, “Online Anomaly Detection with Constant False Alarm Rate”, IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2015.

Huseyin Ozkan, M. Ali Donmez, S. Ozgun Pelvan, Arda Akman and Suleyman S. Kozat, “Competitive and Online Piecewise Linear Classification”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013.

Huseyin Ozkan, Arda Akman and Suleyman S. Kozat, “Ek Bilgi ile Saklı Markov Model Eğitme”, (National Conference - Turkish) IEEE Sinyal İşleme ve İletişim Uygulamaları (SIU), best student paper award, 2012.

M. Ali Donmez, Huseyin Ozkan and Suleyman S. Kozat, “Transient Analysis of Convexly Constrained MixtureMethods”, IEEE InternationalWorkshop on Machine Learning for Signal Processing (MLSP), 2012.

Huseyin Ozkan, Arda Akman, Salih Ergut and Suleyman S. Kozat, “A novel training method for PHMMs”, IEEE International Workshop on Cognitive Information Processing (CIP), 2012.

Huseyin Ozkan, S. Ozgun Pelvan, Arda Akman and Suleyman S. Kozat, “Yenilikçi bir Artımlı Sınıflandırma Algoritması”, (National Conference - Turkish) IEEE Sinyal İşleme ve İletişim Uygulamaları (SIU), 2012.

Fatih Porikli and Huseyin Ozkan, “Data Driven Frequency Mapping for Computationally Scalable Object Detection”, IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), best paper award, 2011.

 

 

 

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