Barkın Tuncer, Umut Orguner, and Emre Özkan.
Multi-Ellipsoidal Extended Target Tracking with Variational Bayes Inference
Techrxiv
Murat Kumru, Hilal Koksal, and Emre Özkan.
Variational Measurement Update for Extended Object Tracking Using Gaussian Processes
Accepted for publication in IEEE Signal Processing Letters, 2021
Barkın Tuncer, and Emre Özkan.
Random Matrix Based Extended Target Tracking with Orientation: A New Model and Inference
Accepted for publication in IEEE Transactions on Signal Processing, 2021
Murat Kumru, and Emre Özkan.
Three-Dimensional Extended Object Tracking and Shape Learning Using Gaussian Processes
Accepted for publication in IEEE Transactions on Aerospace and Electronic Systems, 2021
Barkın Tuncer, Murat Kumru, and Emre Özkan. Extended Target Tracking and Classification Using Neural Networks.
22st International Conference on Information Fusion –  July, Ottawa, Canada, 2019

Suleyman F. Kara, Emre Ozkan. Multiellipsoidal extended target tracking with known extent using sequential Monte Carlo framework. Turkish Journal of Electrical Engineering & Computer Sciences 27.2 (2019): 1546-1558.

Murat Kumru, Emre Ozkan. 3D Extended Object Tracking Using Recursive Gaussian Processes.
21st International Conference on Information Fusion – 10-13 July, Cambridge, UK, 2018
Suleyman F. Kara, Emre Ozkan. Multi-Ellipsoidal Extended Target Tracking Using Sequential Monte Carlo.
21st International Conference on Information Fusion – 10-13 July, Cambridge, UK, 2018
Barkın Tuncer, Murat Kumru, Emre Özkan, A. Aydın Alatan. Extended Object Tracking and Shape Classification.
21st International Conference on Information Fusion – 10-13 July, Cambridge, UK, 2018
Carsten Fritsche, Umut Orguner, Emre Özkan, Fredrik Gustafsson. Marginal Bayesian Bhattacharyya Bounds for Discrete-time Filtering. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 10-20 April, Calgary, Canada, 2018
Roth, M., Ardeshiri, T., Özkan, E., & Gustafsson, F. (2017). Robust Bayesian Filtering and Smoothing Using Student’s t Distribution. arXiv preprint arXiv:1703.02428.
Pakazad, S. K., Özkan, E., Fritsche, C., Hansson, A., & Gustafsson, F. (2016). Distributed Localization of Tree-structured Scattered Sensor Networks arXiv preprint arXiv:1607.04798.
Emre Ozkan, Niklas Wahlström, Simon J. Godsill. Rao-Blackwellised Particle Filter for Star-convex Extended Target Tracking Models. Information Fusion (FUSION), 2016 19th International Conference on, 1193-1199, Heidelberg, Germany.
James Murphy, Emre Ozkan, Pete Bunch, Simon J. Godsill. Sparse Structure Inference for Group and Network Tracking. Information Fusion (FUSION), 2016 19th International Conference on, 1208-1214, Heidelberg, Germany.
Tohid Ardeshiri, Emre Özkan, Umut Orguner, Fredrik Gustafsson. Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances IEEE Signal Processing Letters 22 (12), 2450-2454, Dec 2015.
Niklas Wahlström, and Emre Özkan. Extended Target Tracking Using Gaussian Processes. IEEE Transactions on Signal Processing, 2015, 63.16: 4165-4178.
Emre Özkan, Fredrik Lindsten, Carsten Fritsche, and Fredrik Gustafsson. Recursive Maximum Likelihood Identification of Jump Markov Nonlinear systems.  IEEE Transactions on Signal Processing, 2015, 63.3: 754-765. [pdf].
Tohid Ardeshiri, Karl Granström, Emre Özkan, and Umut Orguner. Greedy Reduction Algorithms for Mixtures of Exponential Family. IEEE Signal Processing Letters, vol.22, no.6, pp.676-680, June 2015.
Emre Özkan, Vaclav Smidl, Saikat Saha, Christian Lundquist and Fredrik Gustafsson,Marginalized Adaptive Particle Filtering for Non-linear Models with Unknown Time-varying Noise Parameters, Automatica , 49(6):1566-1575, 2013. [pdf]
Christian Lundquist, Richard Karlsson, Emre Özkan and Fredrik Gustafsson. Tire Radii Estimation Using a Marginalized Particle Filter. IEEE Transactions on Intelligent Transportation Systems, 2013.
Emre Özkan, I.Yücel Özbek, and Mübeccel Demirekler. Dynamic Speech Spectrum Representation and Tracking Variable Number of Vocal Tract Resonance Frequencies With Timevarying Dirichlet Process Mixture Models. IEEE Transactions on Audio, Speech, and Language Processing, vol.17, no.8, pp.1518 1532, Nov. 2009.
Andre R. Braga, Marcelo G.S. Bruno, Emre Ozkan, Carsten Fritsche, and Fredrik Gustafsson.Cooperative Terrain Based Navigation and Coverage Identification Using ConsensusAccepted to IEEE 18th International Conference on Information Fusion (FUSION), 6-9 July 2015, Washington DC, U.S.
Parinaz Kasebzadeh, Carsten Fritsche, Emre Ozkan, Fredrik Gunnarsson, and Fredrik Gustafsson. Joint Antenna and Propagation Model Parameter Estimation Using RSS Measurements Accepted to IEEE 18th International Conference on Information Fusion (FUSION), 6-9 July 2015, Washington DC, U.S.
Yuxin Zhao, Feng Yin, Fredrik Gunnarsson, Mehdi Amirijoo, Emre Ozkan, and Fredrik Gustafsson. Particle Filtering for Positioning Based on Proximity ReportsAccepted to IEEE 18th International Conference on Information Fusion (FUSION), 6-9 July 2015, Washington DC, U.S.
Carsten Fritsche, Emre Özkan, Umut Orguner and Fredrik Gustafsson. Marginal Weiss-Weinstein Bounds for Discrete-Time Filtering Proceedings of IEEE 40th International Conference on Acoustics, Speech and Signal Processing, 2015, Brisbane, Australia.
Carsten Fritsche, Umut Orguner, Emre Özkan and Fredrik Gustafsson. On the Cramer-Rao Lower Bound under Model Mismatch Proceedings of IEEE 40th International Conference on Acoustics, Speech and Signal Processing, , 2015, Brisbane, Australia.
Carsten Fritsche, Emre Ozkan, Lennart Svensson and Fredrik Gustafsson. A Fresh Look at Bayesian Cramer-Rao Bounds for Discrete-Time Nonlinear FilteringProceedings of IEEE 17th International Conference on Information Fusion (FUSION), 7-10 July 2014, Salamanca, Spain.
Tohid Ardeshiri, and Emre Özkan. An adaptive PHD filter for tracking with unknown sensor characteristics. Proceedings of IEEE 16th International Conference on Information Fusion (FUSION), vol., no., pp.1736,1743, 9-12 July 2013, Istanbul, Turkey.
Emre Özkan, Carsten Fritsche, and Fredrik Gustafsson. Online EM algorithm for joint state and mixture measurement noise estimation. Proceedings of IEEE 15th International Conference on Information Fusion (FUSION), Singapore, Singapore, 2012.
Carsten Fritsche, Emre Özkan, and Fredrik Gustafsson. Online EM algorithm for jump Markov systems. Proceedings of IEEE 15th International Conference on Information Fusion (FUSION), Singapore, Singapore, 2012.
Michael Roth, Emre Özkan, and Fredrik Gustafsson. A Students t Filter for Heavy Tailed Process and Measurement Noise. Proceedings of IEEE 38th International Conference on Acoustics, Speech and Signal Processing, Vancouver, Canada, 2013.
Emre Özkan, Christian Lundquist, and Fredrik Gustafsson. A Bayesian Approach to Jointly Estimate Tire Radii and Vehicle Trajectory. In Proceedings of the International IEEE Conference on Intelligent Transportation Systems, Washington, DC, USA, 2011. [pdf]
Emre Özkan, Burak Guldogan, Umut Orguner, and Fredrik Gustafsson. Ground Multiple Target Tracking with a Network of Acoustic Sensor Arrays Using PHD and CPHD Filters.Proceedings of IEEE 14th International Conference on Information Fusion (FUSION), Chicago, U.S., 2011.
Emre Özkan, Saikat Saha, Fredrik Gustafsson and Vaclav Smidl. Non-Parametric Bayesian Noise Density Estimation in Non-Linear Filtering. Proceedings of IEEE 36th International Conference on Acoustics, Speech and Signal Processing, Prague, 2011.
Saikat Saha, Emre Özkan, Fredrik Gustafsson and Vaclav Smidl. Marginalized Particle Filters for Bayesian Estimation of Gaussian Noise Parameters.Proceedings of IEEE 13th International Conference on Information Fusion (FUSION), Edinburgh, UK, 2010. [IEEE]
Emre Özkan, Burak Guldogan, Umut Orguner, and Fredrik Gustafsson. Olasilik Hipotez Yogunlugu Süzgeci kullanarak Akustik Sensörlerle Kara Araçlari Takibi. IEEE 20th Conference on Signal Processing and Communications Applications (SIU), 2012.
Emre Özkan, and Fredrik Gustafsson. Estimation of Gaussian noise parameters in nonlinear models using particle filters. IEEE 19th Conference on Signal Processing and Communications Applications (SIU), 2011.