California State University, SacramentoDr. Pinar Muyan-Ozcelik

Assistant Professor at the Department of Computer Science

Publications

 

Methods for Multitasking among Real-time Embedded Compute Tasks Running on the GPU, Pinar Muyan-Ozcelik and John D. Owens, Journal of Concurrency and Computation: Practice and Experience (CC-PE), Wiley, Volume 29, Issue 15, August 10, 2017, doi: 10.1002cpe.4118.

A Hands-on Cross-Platform Mobile Programming Approach to Teaching OOP Concepts and Design Pattern, Pinar Muyan-Ozcelik, In Proceedings of Software Engineering Curricula for Millennials (SECM) Workshop at ACM/IEEE 39th International Conference on Software Engineering (ICSE), May 20-28, 2017, Buenos Aires, Argentina, doi: 10.1109/SECM.2017.12.

Multitasking Real-time Embedded GPU Computing Tasks, Pinar Muyan-Ozcelik and John D. Owens, In Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM) at ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), March 12-16, 2016, Barcelona, Spain, doi: http:dx.doi.org10.11452883404.2883408.

 

Running Real-time Tasks on Embedded Systems Using GPU Computing, Pinar Muyan-Ozcelik, PhD Dissertation: Dept. of Computer Science, University of California, Davis, 2014.

Feature-Based Speed Limit Sign Detection Using a Graphics Processing Unit, Vladimir Glavtchev, Pinar Muyan-Ozcelik, Jeffrey M. Ota, and John D. Owens, In proceedings of the 2011 IEEE Intelligent Vehicles Symposium, June 5-9, 2011, Baden-Baden, Germany, pp. 195-200, doi: 10.1109/IVS.2011.5940539.

Real-Time Speed-Limit-Sign Recognition on an Embedded System Using a GPU, Pinar Muyan-Ozcelik, Vladimir Glavtchev, Jeffrey M. Ota, and John D. Owens, GPU Computing Gems, ed. Wen-mei W. Hwu, 2011, Morgan Kaufmann, pp. 497-516, doi: 10.1016/B978-0-12-384988-5.00032-2.

 

A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing, Pinar Muyan-Ozcelik, Vladimir Glavtchev, Jeffrey M. Ota, and John D. Owens, In proceedings of the 32nd German Association for Pattern Recognition (DAGM) Symposium, Sep 21-24, 2010, Darmstadt, Germany, Springer-Verlag, LNCS 6376, pp. 162-171, doi:10.1007/978-3-642-15986-2_17.

High performance computing for deformable image registration: Towards a new paradigm in adaptive radiotherapy, Sanjiv S. Samant, Junyi Xia, Pinar Muyan-Ozcelik, and John D. Owens, Medical Physics, August 2008, vol. 35, num. 8, pp. 3546-3553, doi: 10.1118/1.2948318.

 

Fast Deformable Registration on the GPU: A CUDA Implementation of Demons, Pinar Muyan-Ozcelik, John D. Owens, Junyi Xia, and Sanjiv S. Samant. In proceedings of the 1st technical session on UnConventional High Performance Computing (UCHPC) in conjunction with the 6th International Conference on Computational Science and Its Applications (ICCSA), June30-July3, 2008, Perugia, Italy, IEEE Computer Society, pp. 223-233, doi: 10.1109/ICCSA.2008.22.

Situated Robot Design with Prioritized Constraints, Pinar Muyan-Ozcelik and Alan K. Mackworth, In proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep28-Oct2, 2004, Sendai, Japan, vol. 2, pp. 1807-1814, doi: 10.1109/IROS.2004.1389659.

 

Prioritized Constraints in the Design of a Situated Robot, Pinar Muyan-Ozcelik, MSc Thesis: Dept. of Computer Science, University of British Columbia, 2004, Vancouver, Canada.

A Blessing of Dimensionality: Measure Concentration and Probabilistic Inference, Pinar Muyan and Nando de Freitas, In proceedings of the International Workshop on Artificial Intelligence and Statistics (AI-STATS), Jan3-6, 2003, Key West, FL, USA, doi: 10.1.1.13.7977.