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
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,
Bachelor of
Electrical Engineering (Computer & Systems), Ain
Shams University,
Work Experience:
Research Assistant
- Neural Systems Engineering Lab, Dept. of Electrical & Computer Engineering,
Teaching Assistant
- Computer & Systems Engineering Dept.,
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,
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,
S.
El-Dawlatly, H. Osman, and H. Shahein,
“SVM Enhancement with Application to SAR Imagery
Classification,” Proc. of ICSP06, vol. 3,
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