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
                                                    3228 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)


Journal Articles:

S. Eldawlatly, Y. Zhou, R. Jin and K. Oweiss, “On The Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles,” Neural Computation, in press, 2009

 

S. Eldawlatly, R. Jin and K. Oweiss, Identifying Functional Connectivity in Large Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach, Neural Computation 21(2), pp. 450-477, 2009

Conference Proceedings:

S. Eldawlatly, Y. Zhou, R. Jin and K. Oweiss, “Inferring Functional Cortical Networks from Spike Train Ensembles using Dynamic Bayesian Networks,” Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), pp.  3489-3492, April 2009

M. Aghagolzadeh, S. Eldawlatly and K. Oweiss, “Identifying Functional Connectivity of Motor Neuronal Ensembles Improves the Performance of Population Decoders,” Proc. of 4th Int. IEEE EMBS Conf. on Neural Engineering, pp. 534-537, 2009

K. Y. Kwon, S. Eldawlatly and K. G. Oweiss,  NeuroQuest: A Comprehensive Tool for Large Scale Neural Data Processing and Analysis,” Proc. of 4th Int. IEEE EMBS Conf. on Neural Engineering, pp. 622-625, 2009 

S. Eldawlatly, Y. Zhou, R. Jin and K. Oweiss, Reconstructing Functional Neuronal Circuits Using Dynamic Bayesian Networks, Proc. of 30th IEEE Eng. in Medicine and Biology, pp. 5531 - 5534, 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

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