Seif Eldawlatly Profile

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Seif Eldawlatly

Associate Professor at Computer and Systems Engineering

Career Information

Assistant Professor at : 2018-01-26
Teacher at : 2011-11-02
Teacher Assistant at : 2006-10-04
Demonstrator at : 2003-11-07

Academic Information

Email : seldawlatly@eng.asu.edu.eg
Graduation : 2003 From Faculty of Engineering , Ain shams University
Scopus URL
Google Scholar URL
ORCID

Brief

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 70 refereed publications in this area.

Books

1. S. Elgohary, M. I. Khalil and S. Eldawlatly, “A Two-stage Classification Framework for Epileptic Seizure Prediction using EEG Wavelet-based Features,” in Big Data in Psychiatry & Neurology, ed. A. Moustafa, Academic Press, Elsevier, pp. 263-286, 2021

2. S. Eldawlatly, “Optimizing Electrical Stimulation for Closed-loop Control of Neural Ensembles: A Review of Algorithms and Applications,” in Computational Models of Brain and Behavior, ed. A. Moustafa, Wiley, pp. 439-451, 2017

3. 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

Articles

4. E. Mounir, B. Abdullah, H. M. K. Mahdi and S. Eldawlatly, “A Deep Convolutional Visual Encoding Model of Neuronal Responses in the LGN,” Brain Informatics, Vol. 8, No. 11, 2021

5. M. Gamal, M. H. Mousa, S. Eldawlatly, and S. M. Elbasiouny, “In-silico Development and Assessment of a Kalman Filter Motor Decoder for Prosthetic Hand Control,” Computers in Biology and Medicine, Vol. 132, 104353, 2021


6. S. Eldawlatly, M. Abouelhoda, O. S. Al-Kadi, T. Gojobori, B. Jankovic, M. Khalil, A. H. Khandoker, and A. Morsy, “Biomedical Computing in the Arab World: Unlocking the Potential of a Growing Research Community,” Communications of the ACM, Vol. 64, pp. 108–113, 2021

7. A. Gaballa, H. Swelim, A. Abd El-Aal and S. Eldawlatly, “Neuroprotective Effect of Chrysin in Rat Model of Parkinson's Disease: Histopathological Evidence,” The Egyptian Journal of Experimental Biology (Zoology), Vol. 17, No. 1, pp. 67-78, 2021

8. 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

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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

Publications

  1. Elessawy, R.H., Eldawlatly, S., Abbas, H.M., " A long short-term memory autoencoder approach for EEG motor imagery classification ", Proceedings of International Conference on Computation, Automation and Knowledge Management, ICCAKM 2020, 2020
  2. Elhilbawi, H., Eldawlatly, S., Mahdi, H., " A taxonomy of discretization techniques based on class labels and attributes' relationship ", Proceedings - ICCES 2019: 2019 14th International Conference on Computer Engineering and Systems, 2019
  3. Gamal, M., Mousa, M.H., Eldawlatly, S., Elbasiouny, S.M., " Automated Cell-Type Classification and Death-Detection of Spinal Motoneurons ", 2018 9th Cairo International Biomedical Engineering Conference, CIBEC 2018 - Proceedings, 2019
  4. El-Amin, A., Eldawlatly, S., Attia, A., Hammad, O., Nasr, O., Ghozlan, O., Raouf, R., Hamed, A.M., Eldawlatly, H., El-Moursy, M., " Brain-in-car: A brain activity-based emotion recognition embedded system for automotive ", 2019 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2019, 2019
  5. Essam, M., Eldawlatly, S., Abbas, H., " Contextualized Word Representations for Self-Attention Network ", Proceedings - 2018 13th International Conference on Computer Engineering and Systems, ICCES 2018, 2019
  6. Nashed, N.N., Eldawlatly, S., Aly, G.M., " A deep learning approach to single-trial classification for P300 spellers ", Middle East Conference on Biomedical Engineering, MECBME, 2018
  7. ElMohandes, H., Eldawlatly, S., Audí, J.M.C., Ruff, R., Hoffmann, K.-P., " Decoding arm kinematics from EMG signals using Kalman filter ", ACM International Conference Proceeding Series, 2018
  8. Soliman, G., El-Nabawy, A., Misbah, A., Eldawlatly, S., " Predicting all star player in the national basketball association using random forest ", 2017 Intelligent Systems Conference, IntelliSys 2017, 2018
  9. Mounir, E., Abdullah, B., Mahdi, H.M.K., Eldawlatly, S., " Visual encoding in rat lateral geniculate nucleus: An artificial neural network approach ", Middle East Conference on Biomedical Engineering, MECBME, 2018
  10. Yehia, A.G., Eldawlatly, S., Taher, M., " WeBB: A brain-computer interface web browser based on steady-state visual evoked potentials ", Proceedings of ICCES 2017 12th International Conference on Computer Engineering and Systems, 2018
  11. Meshriky, M.R., Eldawlatly, S., Aly, G.M., " An Intermixed Color Paradigm for P300 Spellers: A Comparison with Gray-Scale Spellers ", Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2017
  12. Abolfotuh, H.H., Jawwad, A., Abdullah, B., Mahdi, H.M.K., Eldawlatly, S., " BNEL-VP: An image processing toolbox for visual prostheses ", International IEEE/EMBS Conference on Neural Engineering, NER, 2017
  13. Elsawy, A.S., Eldawlatly, S., Taher, M., Aly, G.M., " MindEdit: A P300-based text editor for mobile devices ", Computers in Biology and Medicine, 2017
  14. Jawwad, A., Abolfotuh, H.H., Abdullah, B., Mahdi, H.M.K., Eldawlatly, S., " Modulating Lateral Geniculate Nucleus Neuronal Firing for Visual Prostheses: A Kalman Filter-Based Strategy ", IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017
  15. Helal, M.A., Eldawlatly, S., Taher, M., " Using autoencoders for feature enhancement in motor imagery Brain-Computer Interfaces ", Proceedings of the 13th IASTED International Conference on Biomedical Engineering, BioMed 2017, 2017
  16. Elsawy, A.S., Eldawlatly, S., Taher, M., Aly, G.M., " Enhancement of mobile development of brain-computer platforms ", Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems, 2016
  17. Elgohary, S., Eldawlatly, S., Khalil, M.I., " Epileptic seizure prediction using zero-crossings analysis of EEG wavelet detail coefficients ", CIBCB 2016 - Annual IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2016
  18. Abolfotuh, H.H., Jawwad, A., Abdullah, B., Mahdi, H.M.K., Eldawlatly, S., " Moving object detection and background enhancement for thalamic visual prostheses ", Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016
  19. Yehia, A.G., Eldawlatly, S., Taher, M., " Principal component analysis-based spectral recognition for SSVEP-based Brain-Computer Interfaces ", Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015, 2016
  20. Jawwad, A., Abolfotuh, H.H., Abdullah, B., Mahdi, H.M.K., Eldawlatly, S., " Tuning electrical stimulation for thalamic visual prosthesis: An autoencoder-based approach ", Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016
  21. Jawwad, A., Abolfotuh, H.H., Abdullah, B., Mahdi, H.M.K., Eldawlatly, S., " A Kalman-based encoder for electrical stimulation modulation in a thalamic network model ", 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015, 2015
  22. Elasuty, B., Eldawlatly, S., " Dynamic Bayesian Networks for EEG motor imagery feature extraction ", International IEEE/EMBS Conference on Neural Engineering, NER, 2015
  23. Elsawy, A.S., Eldawlatly, S., " P300-based applications for interacting with smart mobile devices ", International IEEE/EMBS Conference on Neural Engineering, NER, 2015
  24. Elsawy, A.S., Eldawlatly, S., Taher, M., Aly, G.M., " Performance analysis of a Principal Component Analysis ensemble classifier for Emotiv headset P300 spellers ", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2014
  25. Eldawlatly, S., Oweiss, K.G., " Temporal precision in population – But not individual neuron – Dynamics reveals rapid experience-dependent plasticity in the rat barrel cortex ", Frontiers in Computational Neuroscience, 2014
  26. Elsawy, A.S., Eldawlatly, S., Taher, M., Aly, G.M., " A principal component analysis ensemble classifier for P300 speller applications ", International Symposium on Image and Signal Processing and Analysis, ISPA, 2013
  27. Fathy, A., Fahmy, A., Elhelw, M., Eldawlatly, S., " EEG spectral analysis for attention state assessment: Graphical versus classical classification techniques ", 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012, 2012
  28. Kwon, K.Y., Eldawlatly, S., Oweiss, K., " NeuroQuest: A comprehensive analysis tool for extracellular neural ensemble recordings ", Journal of Neuroscience Methods, 2012
  29. Eldawlatly S, Oweiss K, " Network dynamics associated with experience-dependent plasticity in the rat somatosensory cortex. ", BMC neuroscience, 2011
  30. Eldawlatly, S., Oweiss, K.G., " Millisecond-timescale local network coding in the rat primary somatosensory cortex ", PLoS ONE, 2011
  31. Eldawlatly S, Oweiss K, " Causal networks in the rat barrel cortex provide a signature of stimulus encoding. ", BMC neuroscience, 2010
  32. Eldawlatly, S., Oweiss, K., " Causal neuronal networks provide functional signatures of stimulus encoding ", 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, 2010
  33. Eldawlatly, S., Oweiss, K., " Graphical Models of Functional and Effective Neuronal Connectivity ", Statistical Signal Processing for Neuroscience and Neurotechnology, 2010
  34. Eldawlatly, S., Zhou, Y., Jin, R., Oweiss, K.G., " On the use of dynamic Bayesian networks in reconstructing functional neuronal networks from spike train ensembles ", Neural Computation, 2010
  35. Aghagolzadeh, M., Eldawlatly, S., Oweiss, K., " Synergistic coding by cortical neural ensembles ", IEEE Transactions on Information Theory, 2010
  36. Eldawlatly S, Jin R, Oweiss KG, " Identifying functional connectivity in large-scale neural ensemble recordings: a multiscale data mining approach. ", Neural computation, 2009
  37. Aghagolzadeh, M., Eldawlatly, S., Oweiss, K., " An information theoretic approach to identify the role of higher-order interactions between cortical neurons in stimulus coding ", Conference Record - Asilomar Conference on Signals, Systems and Computers, 2009
  38. Aghagolzadeh, M., Eldawlatly, S., Oweiss, K., " Coding stimulus information with cooperative neural populations ", IEEE International Symposium on Information Theory - Proceedings, 2009
  39. Aghagolzadeh, M., Eldawlatly, S., Oweiss, K., " Identifying functional connectivity of motor neuronal ensembles improves the performance of population decoders ", 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09, 2009
  40. Eldawlatly, S., Zhou, Y., Jin, R., Oweiss, K., " Inferring functional cortical networks from spike train ensembles using dynamic Bayesian networks ", ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2009
  41. Ki, Y.K., Eldawlatly, S., Oweiss, K.G., " NeuroQuest: A comprehensive tool for large scale neural data processing and analysis ", 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09, 2009
  42. Eldawlatly S, Zhou Y, Jin R, Oweiss K, " Reconstructing functional neuronal circuits using dynamic Bayesian networks. ", Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2008
  43. Eldawlatly, S., Zhou, Y., Jin, R., Oweiss, K., " Reconstructing functional neuronal circuits using dynamic Bayesian networks ", Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology", 2008
  44. Oweiss, K.G., Shetliffe, M.M., Eldawlatly, S., " Revamping signal processing for adaptive, real time, Bi-directional brain machine interface systems ", ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2008
  45. , " Identifying spike-timing dependent plasticity in spike train models of synaptically-coupled neuronal ensembles ", BMC Neuroscience, 2007

Research Projects

- “Identification of Electrophysiological Markers for Early Diagnosis of Amyotrophic Lateral Sclerosis”
Agency: National Academy of Sciences (NAS), USA, and Science and Technology Development Fund (STDF), Egypt
(The U.S. - Egypt Science and Technology Joint Fund)
Duration: 3 Years (2018 – 2021)

- “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)