Full Name:
Seif Eldawlatly
Academic Rank:
Associate Professor
ASU Email:
seldawlatly@eng.asu.edu.eg
Departmment:
Computer and Systems Engineering
Graduation Year:
2003

Seif Eldawlatly is currently an Associate Professor at the Computer and Systems Engineering Department, Faculty of Engineering, Ain Shams University. He received his PhD in Electrical and Computer Engineering from Michigan State University, USA in 2011. He received his M.Sc. and B.Sc. degrees in Electrical Engineering (Computer and Systems Engineering Department) from Ain Shams University, Cairo, Egypt, in 2006 and 2003, respectively. He is currently the director of the Biomedical and Neuro Engineering Lab. Dr. Eldawlatly’s research focuses on utilizing machine learning and signal processing techniques to develop invasive and non-invasive Brain-Machine Interface (BMI) applications. Dr. Eldawlatly has been the principal investigator of multiple funded research projects aiming at developing applications to enable subjects with motor disability to interact with computer devices using their brain electroencephalography (EEG) in addition to developing visual prosthetic systems to provide visual sensation to the blind. He has more than 40 refereed publications in this area.


Degrees:
Ph.D. in Electrical Engineering, Michigan State University, East Lansing, Michigan, USA. (September 2006 – May 2011)

M.Sc. in Electrical Engineering (Computer & Systems), Faculty of Engineering, Ain Shams University, Cairo, Egypt. (September 2003 – July 2006)

B.Sc. in Electrical Engineering (Computer & Systems), Faculty of Engineering, Ain Shams University, Cairo, Egypt. (September 1998 – June 2003)

Awards:
Not Available
Books:
1- S. Eldawlatly, "Optimizing Electrical Stimulation for Closed-loop Control of Neural Ensembles," in Computational Models of Brain and Behavior, A. A. Moustafa, Ed., ed: John Wiley & Sons, Ltd, 2017, pp. 439-451.

2- 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

Published Research:
1- 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

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

3- 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

4- 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

5- 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

6- 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

7- 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 22(1), pp. 158-189, 2010

8- 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
Published Research in Confernces:
1. E. Mounir, B. Abdullah, H. M. K. Mahdi and S. Eldawlatly, “Visual Encoding in Rat Lateral Geniculate Nucleus: An Artificial Neural Network Approach,” 2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME), Tunis, Tunisia, pp. 24-29, 2018

2. N. N. Nashed, S. Eldawlatly and G. M. Aly, “A Deep Learning Approach to Single-trial Classification for P300 Spellers,” 2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME), Tunis, Tunisia, pp. 11-16, 2018

3. H. Elmohandes, S. Eldawlatly, J. M. C. Audí, R. Ruff and K-P. Hoffmann, “Decoding Arm Kinematics from EMG Signals using Kalman Filter,” Proceedings of 2018 8th International Conference on Biomedical Engineering and Technology (ICBET 2018), Bali, Indonesia, pp. 96-102, 2018

4- A. G. Yehia, S. Eldawlatly and M. Taher, "WeBB: A Brain-Computer Interface Web Browser Based on Steady-State Visual Evoked Potentials," 2017 12th International Conference on Computer Engineering and Systems (ICCES), Cairo, Egypt, pp. 52-57, 2017

5- 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

6- 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

7- G. Soliman, A. El-Nabawy, A. Misbah and S. Eldawlatly, “Predicting All Star Player in the National Basketball Association Using Random Forest,” 2017 Intelligent Systems Conference (IntelliSys), United Kingdom, pp. 706-713, 2017

8- 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

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

10- 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, August 2016

11- 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 2016

12- 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

13- 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

14- S. Eldawlatly and A. Jawwad, “Optimizing electrical stimulation parameters in a lateral geniculate nucleus (LGN) model,” Program No. 148.02. 2015 Neuroscience Meeting Planner. Chicago, IL: Society for Neuroscience, 2015. Online.

15- 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

16- 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

17- 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

18- 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

19- 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

20- S. Eldawlatly, A. Eleryan, A. Mohebi, M. Aghagolzadeh and K. G. Oweiss, “Beyond single neuron responses: networks capture ensemble coding properties and re-organization in cortex,” Program No. 413.07. 2012 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2012. Online.

21- S. Eldawlatly and K. Oweiss, “Inferring Stimulus-specific Network Dynamics Associated with Experience-dependent Plasticity in the Rat Somatosensory Cortex Following Sensory Deprivation,” Program No. 74.22. 2011 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2011. Online.

22- S. Eldawlatly and K. Oweiss, “Stimulus-specific Neuronal Circuits in the Rat Somatosensory Cortex,” Program No. 782.19. 2010 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2010. Online.

23- 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, August 2010

24- 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

25- S. Eldawlatly, S. Fujisawa, G. Buzsaki and K. Oweiss, “Identifying Position-specific Functional Networks in the Rat Medial Prefrontal Cortex,” Program No. 192.9. 2009 Neuroscience Meeting Planner. Chicago, IL: Society for Neuroscience, 2009. Online.

26- 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

27- 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

28- 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

29- 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

30- 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

31- S. Eldawlatly, Y. Zhou, R. Jin and K. Oweiss, “A Two-stage Paradigm for Reconstructing Functional Neuronal Circuits from Spike Train Ensembles,” Program No. 862.15. 2008 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2008. Online.

32- 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

33- 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

34- M. Shetliffe, S. Eldawlatly and K. Oweiss, “Multiscale Compressed Sensing of Neuronal Response Properties for Brain Machine Interfaces,” Program No. 770.2. Neuroscience 2007 Abstracts. San Diego, CA: Society for Neuroscience, 2007. Online.

35- 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

36- 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

37- 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

38- 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

39- 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, 2006

40- 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

41- 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

Educational and Research Projects:
- “Developing an Optimized Stimulus Coder for Thalamic Visual Prostheses”
Agency: The World Academy of Sciences (TWAS), Trieste, Italy
(COMSTECH-TWAS Joint Research Grants Programme)
Duration: 18 Months (2017 – 2019)


- “Developing an Optimized Thalamic Prosthesis for Vision Restoration”
Agency: Science and Technology Development Fund (STDF) – Egypt
(Reintegration Grant)
Duration: 3 years (2014 – 2017)

- “Interacting with Touchscreen Android Devices using EEG Activity”
Agency: Google – Ireland
(Google Faculty Research Awards)
Duration: 1 year (2014 – 2015)

Consulting and Engineering Projects:

Supervised Thesis:
- Mahmoud Helal, M.Sc. 2017, Ain Shams University. Thesis Title: “A Brain-Computer Interface Speller for Smart Devices”

- Ahmed G. Yehia, M.Sc. 2017, Ain Shams University. Thesis Title: “Brain-Computer Interface based Web Browser using Steady State Visual Evoked Potentials”

- Sahar Elgohary, M.Sc. 2017, Ain Shams University. Thesis Title: “Predicting Epileptic Seizures onset from Electroencephalography Signals”

- Amr Jawwad, M.Sc. 2016, Ain Shams University. Thesis Title: “Modulating Electrical Stimulation for Thalamic Visual Prostheses”

- Amr S. Elsawy, M.Sc. 2014, Ain Shams University. Thesis Title: “Enhancement of Mobile Development of Brain Computer Platforms”

Other:
Not Available