Assistant Professor
Director of Biomedical and Neuro Engineering Lab (BNEL)
Computer and Systems Engineering Department
Faculty of Engineering
Ain Shams University

Email: [email protected]

Research Objective:

Utilizing signal processing and machine learning techniques to develop and enhance the performance of Brain-Machine Interfaces (BMIs) 

 

Fields of Interest:

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

 

Education:

Ph.D. in Electrical Engineering, Michigan State University, USA, May 2011

M.Sc. in Electrical Engineering (Computer & Systems), Ain Shams University, Egypt, July 2006

B.Sc. of Electrical Engineering (Computer & Systems), Ain Shams University, Egypt, June 2003

 

Work Experience:

Assistant Professor - Computer and System Engineering Dept., Faculty of Engineering, Ain Shams University (July 2011 - Present)

Research Assistant - Neural Systems Engineering Lab, Dept. of Electrical & Computer Engineering, Michigan State University (August 2006 – May 2011)

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

 

Book Chapters:


S. Eldawlatly, "Optimizing Electrical Stimulation for Closed-loop Control of Neural Ensembles," in Computational Models of Brain and Behavior, ed. A. A. Moustafa, John Wiley & Sons, Ltd, pp. 439-451, 2017


S. Eldawlatly and K. Oweiss, “Graphical Models of Functional and Effective Neuronal Connectivity,” in Statistical Signal Processing for Neuroscience and Neurotechnology, ed. K. Oweiss, Academic Press, Elsevier, pp. 129-174, 2010

 

Journal Articles:

 

A. Jawwad, H. H. Abolfotuh, B. Abdullah, H. M. K. Mahdi and S. Eldawlatly, "Modulating Lateral Geniculate Nucleus Neuronal Firing for Visual Prostheses: A Kalman Filter-based Strategy,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 25, No. 10, pp. 1917-1927, 2017


A. S. Elsawy, S. Eldawlatly, M. Taher and G. M. Aly, “MindEdit: A P300-based Text Editor for Mobile Devices,” Computers in Biology and Medicine, Vol. 80, pp. 97-106, 2017


S. Eldawlatly and K. G. Oweiss, "Temporal precision in population - but not individual neuron - dynamics reveals rapid experience-dependent plasticity in the rat barrel cortex," Frontiers in Computational Neuroscience, Vol. 8, No. 155, doi:10.3389/fncom.2014.00155, 2014


K. Y. Kwon, S. Eldawlatly and K. G. Oweiss, “NeuroQuest: A Comprehensive Analysis Tool for Extracellular Neural Ensemble Recordings,” Journal of Neuroscience Methods, 204(1), pp. 189-201, 2012

 

S. Eldawlatly and K. G. Oweiss, “Millisecond-Timescale Local Network Coding in the Rat Primary Somatosensory Cortex,” PLoS ONE 6(6): e21649, doi:10.1371/journal.pone.0021649, 2011

 

M. Aghagolzadeh, S. Eldawlatly and K. Oweiss, "Synergistic Coding by Cortical Neural Ensembles," IEEE Transactions on Information Theory, Vol. 56, No. 2, pp. 875-889, 2010

 

S. Eldawlatly, Y. Zhou, R. Jin and K. G. Oweiss, “On The Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles,” Neural Computation 22(1), pp. 158-189, 2010

 

S. Eldawlatly, R. Jin and K. G. 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:

M. R. Meshriky, S. Eldawlatly and G. M. Aly, “An Intermixed Color Paradigm for P300 Spellers: A Comparison with Gray-scale Spellers,” 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), Thessaloniki, Greece, 2017, pp. 242-247, 2017

H. H. Abolfotuh, A. Jawwad, B. Abdullah, H. M. K. Mahdi and S. Eldawlatly, "BNEL_VP: An Image Processing Toolbox for Visual Prostheses," 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), Shanghai, China, pp. 461-464, 2017


M. A. Helal, S. Eldawlatly and M. Taher, "Using Autoencoders for Feature Enhancement in Motor Imagery Brain-Computer Interfaces," 2017 13th IASTED International Conference on Biomedical Engineering (BioMed), Innsbruck, Austria, pp. 89-93, 2017


S. Elgohary, S. Eldawlatly and M. I. Khalil, “Epileptic Seizure Prediction using Zero-Crossings Analysis of EEG Wavelet Detail Coefficients,” Proc. of the 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Chiang Mai, Thailand, pp. 1-6, 2016


A. Jawwad, H. H. Abolfotuh, B. Abdullah, H. M. K. Mahdi and S. Eldawlatly, “Tuning Electrical Stimulation for Thalamic Visual Prosthesis: An Autoencoder-based Approach,” Proc. of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016), pp. 5431 – 5434, 201​​​​6


H. H. Abolfotuh, A. Jawwad, B. Abdullah, H. M. K. Mahdi and S. Eldawlatly, “Moving Object Detection and Background Enhancement for Thalamic Visual Prostheses,” Proc. of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016), pp. 4711 – 4744, August 201​​​​​6


A. G. Yehia, S. Eldawlatly and M. Taher, "Principal component analysis-based spectral recognition for SSVEP-based Brain-Computer Interfaces," 2015 Tenth International Conference on Computer Engineering & Systems (ICCES), pp. 410-415, 2015

 

A. Jawwad, H. H. Abolfotuh, B. Abdullah, H. M. K. Mahdi and S. Eldawlatly, “A Kalman-based Encoder for Electrical Stimulation Modulation in a Thalamic Network Model,Proc. of the 15th IEEE International Conference on Bioinformatics & Bioengineering (BIBE 2015), pp. 1-5, 2015


A. S. Elsawy and S. Eldawlatly, "P300-based applications for interacting with smart mobile devices," Proc. of 7th Int. IEEE EMBS Conf. on Neural Engineering (NER), pp. 166-169, 2015


B. Elasuty and S. Eldawlatly, "Dynamic Bayesian Networks for EEG motor imagery feature extraction," Proc. of 7th Int. IEEE EMBS Conf. on Neural Engineering (NER), pp. 170-173, 2015


A. S. Elsawy, S. Eldawlatly, M. Taher and G. M. Aly, “Performance Analysis of a Principal Component Analysis Ensemble Classifier for Emotiv Headset P300 Spellers," Proc. of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), pp. 5032 – 5035, August 2014​​​​​​​


A. S. Elsawy, S. Eldawlatly, M. Taher and G. M. Aly, “A Principal Component Analysis Ensemble Classifier for P300 Speller Applications,” Proc. of the Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium on, pp. 444-449, September 2013

 

A. Fathy, A. S. Fahmy, M. Elhelw and S. Eldawlatly, "EEG Spectral Analysis for Attention State Assessment: Graphical versus Classical Classification Techniques," Proc. of The 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES 2012), pp. 888 - 891, December 2012

 

S. Eldawlatly and K. Oweiss, “Network dynamics associated with experience-dependent plasticity in the rat somatosensory cortex,” BMC Neuroscience 2011, 12(Suppl 1):P246, July 2011

 

S. Eldawlatly and K. Oweiss, “Causal neuronal networks provide functional signatures of stimulus encoding,” Proc. of 32nd IEEE Eng. in Medicine and Biology, pp. 5460 - 5463, 2010

 

S. Eldawlatly and K. Oweiss, “Causal networks in the rat barrel cortex provide a signature of stimulus encoding,” BMC Neuroscience 2010, 11(Suppl 1):O18, July 2010

 

M. Aghagolzadeh, S. Eldawlatly and K. Oweiss, “An information theoretic approach to identify the role of higher-order interactions between cortical neurons in stimulus coding” Proc. of the 43rd Annual Asilomar Conference on Signals, Systems and Computers (Asilomar'09), pp. 1085-1089, Nov. 2009

 

S. Eldawlatly, M. Aghagolzadeh and K. Oweiss, “Decoding spike train ensembles using the cooperative interaction between task-dependent cortical neurons,” BMC Neuroscience 2009, 10(Suppl 1):P96, July 2009

 

M. Aghagolzadeh, S. Eldawlatly and K. Oweiss, “Coding stimulus information with cooperative neural populations,” IEEE International Symposium on Information Theory (ISIT), pp. 1594 – 1598, 2009

 

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