Seif Eldawlatly     

             Ph.D. Student - Neural Systems Engineering Lab
             Department of Electrical and Computer Engineering
             Michigan State University
             Advisor : Dr. Karim Oweiss

          Mailing Address:
            Department of Electrical and Computer Engineering
                                                    Michigan State University
                                                    2150 Engineering Building
                                                    East Lansing, MI 48824-1226, USA

                                                    Email:
                                                    eldawlat@msu.edu

Research Objective:

Utilizing signal processing and machine learning techniques to understand brain connectivity at the neuronal level

Fields of Interest:

Neural Engineering, Signal Processing, Machine Learning, Image Processing and Software Engineering

Education:

Master of Electrical Engineering (Computer & Systems), Ain Shams University, Egypt, July 2006

Bachelor of Electrical Engineering (Computer & Systems), Ain Shams University, Egypt, June 2003

Work Experience:

Research Assistant - Neural Systems Engineering Lab, Dept. of Electrical & Computer Engineering, Michigan State University (August 2006 - Present)

Teaching Assistant - Computer & Systems Engineering Dept., Ain Shams University, Egypt (August 2003 - August 2006)

Publications:

S. Eldawlatly, R. Jin and K. Oweiss, “Identifying Functional Connectivity in Large Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach,” To appear in Journal of Neural Computation, 2008

S. Eldawlatly, Y. Zhou, R. Jin and K. Oweiss, “Reconstructing Functional Neuronal Circuits Using Dynamic Bayesian Networks,” To appear in the proc. of 30th IEEE Eng. in Medicine and Biology, August 2008

S. Eldawlatly, Y. Zhou, R. Jin and K. Oweiss, “Inferring neuronal functional connectivity using dynamic Bayesian networks,” BMC Neuroscience 2008, 9(Suppl 1):P19, July 2008

K. Oweiss, M. Shetliffe and S. Eldawlatly, “Revamping signal processing for adaptive, real time, bi-directional Brain Machine Interface systems,” Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), pp.  5197-5200. Digital Object Identifier 10.1109/ICASSP.2008.4518830, April 2008

M. Shetliffe, S. El-Dawlatly, K. Oweiss, “Multiscale compressed sensing of neuronal response properties for brain machine interfaces,” Society for Neuroscience Abstracts, 770.2, November 2007

S. El Dawlatly and K. Oweiss, “Clustering Synaptically-Coupled Neuronal Populations under Systematic Variations in Temporal Dependence,” Proc. of 29th IEEE Eng. in Medicine and Biology, Vol. 1, pp. 1445-1448, 2007

 S. El Dawlatly and K. Oweiss, “Identifying Spike-timing Dependent Plasticity in Spike Train Models of Synaptically-Coupled Neuronal Ensembles,” BMC Neuroscience 2007, 8(Suppl 2):P193, July 2007

S. El Dawlatly and K. G. Oweiss, “Tracking Plasticity in Probabilistic Spike Trains Models of Synaptically-Coupled Neural Population,” Proc. of 3rd Int. IEEE EMBS Conf. on Neural Engineering, pp. 498-501, 2007 

F. Chen, S. El Dawlatly, R. Jin and K. Oweiss, “Identifying and Tracking the number of independent clusters of functionally interdependent neurons from biophysical models of population activity,” Proc. of 3rd Int. IEEE EMBS Conf. on Neural Engineering, pp. 542-545, 2007

 S. El-Dawlatly, H. Osman, and H. Shahein, “Enhanced SVM versus Several Approaches in SAR Target Recognition,” Proc. of ICCES06, pp. 266-270, Cairo, Egypt, Nov 2006

 S. El-Dawlatly, H. Osman, and H. Shahein, “SVM Enhancement with Application to SAR Imagery Classification,” Proc. of ICSP06, vol. 3, Guilin, China, Nov 2006

 S. El-Dawlatly, H. Osman, and H. Shahein, “A New Spatial FCM Approach with Application to SAR Target Clustering,” Proc. of ICSP06, vol. 3, Guilin, China, Nov 2006