Staff profile

Dr Shady Mohamed

Position: Senior Research Fellow in Signals and Systems
Faculty or Division: Office of the Deputy Vice-Chancellor (Research)
Department: Centre for Intelligent Systems Research
Campus: Geelong Waurn Ponds Campus
Phone: +61 3 52272599 +61 3 52272599
Email: shady.mohamed@deakin.edu.au

Research

Research interests

- Digital signal processing, image processing and speech processing.

- EEG data analysis and noise removal

- Classical control theory

- Haptics technology

- Robotics control
 


Publications

Publications

[1] Shady Mohamed and Saeid Nahavandi, “Robust Finite-horizon Kalman Filtering for Uncertain Discrete-Time Systems with Uncertain Observations”. IEEE Transactions on Automatic Control, June 2012.

[2] Shady Mohamed, “Robust Multi-Sensor Data Fusion”, Ph.D. Thesis, Institute for Technology Research and Innovation and Centre for Intelligent Systems Research, Deakin University 2009.

[3] Shady Mohamed and Saeid Nahavandi, “Optimal Linear Data Fusion for Systems with Missing Measurements”, Proceedings of The 2nd IFAC International Conference on Intelligent Control and Signal Processing, International Federation of Automatic Control, Luxemburg, Austria, pp. 1-4.

[4] Shady Mohamed and Saeid Nahavandi, “Robust filtering for uncertain discrete-time systems with uncertain noise covariance and uncertain observations.” Proc. Conference on Industrial Informatics, Daejeon, South Korea, pp. 667-672, 2008.

[5] Shady Mohamed and Saeid Nahavandi, “Optimal Multisensor Data Fusion for Linear Systems with Missing Measurements.” Proc. IEEE International Conference on System of Systems Engineering, pp. 1-4, June 2008.

[6] Imali Hettiarachchi, Shady Mohamed, and Saeid Nahavandi, “A Marginalised Markov Chain Monte Carlo Approach for Model Based Analysis of EEG Data,” Proceedings of the IEEE International Symposium on Biomedical Imaging, Barcelona, Spain, April 2012.

[7] Hettiarachchi, Imali T., Shady Mohamed, and Nahavandi, Saeid (2012) “Identification of Nonlinear fMRI Models Using Auxiliary Particle Filter and Kernel Smoothing Method”, EMBC 2012: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 4212-4216, IEEE, Piscataway, N.J. (ERA A)

[8] Hettiarachchi, Imali, Shady Mohamed, and Nahavandi, Saeid (2012) “A Marginalised Markov Chain Monte Carlo Approach for Model-Based Analysis of EEG Data”, ISBI 2012: From Nano to Macro: Proceedings of the 9th IEEE International Symposium on Biomedical Imaging, pp. 1539-1542, IEEE, Los Alamitos, Calif. (ERA A)

[9] Hettiarachchi, Imali T., Shady Mohamed, Nahavandi, Saeid. (2012)“Parameter Estimation of the BOLD fMRI Model Within a General Particle Filter Framework” ISMRM 2012: Proceedings of the International Society for Magnetic Resonance in Medicine, 20th Annual Meeting and Exhibition, Melbourne, Australia.

[10] F. Razzaq, Shady Mohamed, A. Bhatti, and S. Nahavandi, “Locally Sparsified Compressive Sensing for Improved MR Image Quality” in Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on, Oct. 2013.

[11] Hettiarachchi, Imali T., Shady Mohamed, Nyhof, Luke and Nahavandi, Saeid. “Extended Multivariate Autoregressive Framework for EEG-based Information Flow Analysis of a Brain Network”, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, 3-7 July 2013, to be published. Accepted for publication 06th April 2012.

[12] F. A. Razzaq, Shady Mohamed, A. Bhatti, and S. Nahavandi, “Improved MR Image Quality using Local Compressed Sensing” Transactions of Japanese Society for Medical and Biological Engineering (JSMBE), Aug, 2013.

[13] Luke Nyhof, Shady Mohamed, Saeid Nahavandi, “EEG Artifact Signal Filtering in Dynamic Motion Simulators”. SimTecT 2011.

[14] Shady Mohamed, Ben Horan, Zoran Najdofsky, Saeid Nahavandi, “HEAR: Haptic-Enabled Art Realisation”. Proceedings of the International Symposium on Multi-scale Intelligent Systems, pp. 35. July 2012.

[15] Shady Mohamed, Husaini Adam, Saeid Nahavandi, “Haptic-based Color Representation Framework”, Proceeding of the 8th International Conference on. Information Technology and Applications (ICITA) July 2013.


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