- Schuler, I., M. Schuler, T. Frick, D. Jimenez, A. Maghnouj, S. Hahn, R. Zewail, K. Gerwert, and S. F. El-Mashtoly. "Efficacy of tyrosine kinase inhibitors examined by a combination of Raman micro-spectroscopy and a deep wavelet scattering-based multivariate analysis framework." The Analyst (2024).
-Obed Mogaka, Rami Zewail, Koji-Inoue, Mohamed S. Sayed, “TinyEmergencyNet: A hardware-friendly ultra-lightweight deep learning model for aerial image scene classification,” accepted for publication in Journal of real-time image processing, springer, 2024.
- Dina Aboutahoun, Rami Zewail, Keiji Kimura and Mostafa I. Soliman,“Lightweight Histological Tumor Classification using a Joint Sparsity-Quantization Aware Training Framework”, in IEEE Access, doi: 10.1109/ACCESS.2023.3327221, 2023.

-Z. Alkayem, R. Zewail, A. Shoukry, D. Kawahara and S. A. Elsagheer Mohamed, "A Novel Global Prototype-Based Node Embedding Technique," in IEEE Access, vol. 10, pp. 125311-125318, 2022, doi:10.1109/ACCESS.2022.3225413.

-R. Zewail, “Multimodal Diagnosis of COVID-19 Using Deep Wavelet Scattering Networks,” chapter, In book: Advanced AI and Internet of Health Things for Combating Pandemics, Springer Internet of Things Book Series, June 2023.

-R. Zewail, A. HagElSafi, “Appearance-based Salient Features Extraction in Medical Images Using Sparse Contourlet-based Representation,”International Journal of Image, Graphics and Signal Processing. 9. 1-10. 10.5815/ijigsp.2017.09.01.

- R. Zewail, A. Hag ElSafi, “Multi-scale Sparse Appearance Modeling And Simulation of Pathological Deformations,” , ICTACT Journal on Image and Video Processing. 8. 1596-1605. 10.21917/ijivp.2017.0225.

-R. Zewail, A. Hag El Safi, N. Durdle, “Quantification of Localized Vertebrae Deformities using a sparse wavelet-based shape model” Studies in Health and Informatics, 2008.

Patent(s)
“System and Method for Controlling Downhole Tool,”  US Patent Number 9488045, November, 2016.

Dina Aboutahoun, Rami Zewail, Keiji Kimura and Mostafa I. Soliman, "Cross-Domain Few-Shot Sparse-Quantization Aware Learning for Lymphoblast Detection in Blood Smear Images", in Pattern Recognition,in Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023, pp. 213-226. doi:10.1007/978-3-031-47665-5_18.

Dina Aboutahoun, Rami Zewail and Mostafa I. Soliman, “On Potentials of Few-Shot Learning for AI-Enabled, Internet of Medical Things”, 2022 IEEE Globecom Workshops (GC Wkshps), Rio de Janeiro,Brazil, 2022, pp. 1062–1067, doi: 10.1109/GCWkshps56602.2022.10008512.

Herman, Jacob, Rami Zewail, Tetsuji Ogawa, and Samir ElSagheer. "A Lightweight Transfer Learning-Based Model for Building Classification in Aerial Imagery." In 2023 15th International Conference on Computer Research and Development (ICCRD), pp. 181-186. IEEE, 2023.

T. Bakr, A. Abdullatif, K. Elzeky, M. ElSayed, R. Zewail, "Cross-Lingual Transfer Learning for Arabic Signature Verification: Dataset and Baseline Evaluation,"6th International Conference on Imaging, Vision & Pattern Recognition (IVPR),2023.
R. Zewail, A. Hag ElSafi, N. Durdle, “Vertebral segmentation using Contourlet-based Salient Matching and Localized Multi-scale Shape Prior”, Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72594Z (2009)
A. HagElSafi, R. Zewail, N. Durdle, “Steerable optical flow based image registration: application to aligning human torso images,” Proceedings of the SPIE, Volume 7341, id. 73410F (2009).
 A. Hag ElSafi, R. Zewail, N. Durdle, “Statistical simulation of deformations using wavelet independent component analysis,” Proc. SPIE 6978, Visual Information Processing XVII, 697813,2008.
R.Zewail, M. Mandal, N. Durdle, "Iris identification using contourlet transform", Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 64970C ,February 27, 2007
A. Hag ElSafi, R. Zewail, N. Durdle, "Elastic image registration using subspace constraints", Proc. SPIE 6575, Visual Information Processing XVI, 65750E ,April 25, 2007.
R. Zewail, A. HagElSafi, N. Durdle, "Wavelet-based Independent Component Analysis for Statistical Shape Modeling,” Canadian Conference on Electrical and Computer Engineering , 2007.
R. Zewail, A. Hag ElSafi, N. Durdle, “Multi-scale Shape Prior using Wavelet Packet representation and Independent Component Analysis”, Proceedings of SPIE - The International Society for Optical Engineering, Match 2007.
 A. HagElSafi, R. Zewail, N. Durdle, “Vertebral Classification using Localized pathology-related Shape Model,Proceedings of SPIE - The International Society for Optical Engineering, 2007
A. Hag ElSafi, R. Zewail, “Statistical Deformation Model For Intensity Based Image Registration,” IEEE Canadian Conference on Electrical and Computer Engineering, 2007.
R. Zewail, P. Marshall, S. Kozicki, N. Durdle, “Reconfigurable, fully scalable integer wavelet transform unit for JPEG2000,” IEEE Canadian Conference on Electrical and Computer Engineering, 2005.
 R. Zewail, A. Hag ElSafi, M. Saeb, “ Soft and hard biometrics fusion for improved identity verification,” IEEE 47th Midwest Symposium on Circuits and Systems, 2004.
 A. HagElSafi, R. Zewail, M. Saeb, “ Iris identification based on log Gabor filtering,”  IEEE Midwest Symposium on Circuits and Systems 1:333 - 336 Vol. 1 · January 2004.
R. Zewail, A. Hag ElSafi, M.  Saeb, N. Hamdy, “ Fingerprint recognition based on spectral feature extraction,”   46th IEEE Midwest Symposium on Circuits and Systems, 2003.

- An Embedded AI-Enabled Acoustic-Aware Anomaly Detection EDGE Device for Environmental & Industrial Monitoring Applications", accepted proof-of-concept research grant, Information Technology Industry Development (ITIDA), Egypt, 2024.
-       Development of a label-free new technology based on Raman spectroscopy and artificial intelligence for food safety, accepted research grant, Science& Technology Development Fund (STDF), Egypt, 2024.
-   Prototyping Artificial Intelligence Enabled Tags for Industry 4.0 Applications, research grant, Alberta Innovates, Canada,2018
-       Edge Intelligence for downhole drilling, Advanced R&D Centre, NOV, Canada,2007-2017 
-    Data analytics and intelligence for autonomous control of steerable directional drilling tools, 2010-2017, Advanced R&D Centre, NOV, CANADA-2007-2017

- Schuler, I., M. Schuler, T. Frick, D. Jimenez, A. Maghnouj, S. Hahn, R. Zewail, K. Gerwert, and S. F. El-Mashtoly. "Efficacy of tyrosine kinase inhibitors examined by a combination of Raman micro-spectroscopy and a deep wavelet scattering-based multivariate analysis framework." The Analyst (2024).
-Obed Mogaka, Rami Zewail, Koji-Inoue, Mohamed S. Sayed, “TinyEmergencyNet: A hardware-friendly ultra-lightweight deep learning model for aerial image scene classification,” accepted for publication in Journal of real-time image processing, springer, 2024.
- Dina Aboutahoun, Rami Zewail, Keiji Kimura and Mostafa I. Soliman,“Lightweight Histological Tumor Classification using a Joint Sparsity-Quantization Aware Training Framework”, in IEEE Access, doi: 10.1109/ACCESS.2023.3327221, 2023.

-Z. Alkayem, R. Zewail, A. Shoukry, D. Kawahara and S. A. Elsagheer Mohamed, "A Novel Global Prototype-Based Node Embedding Technique," in IEEE Access, vol. 10, pp. 125311-125318, 2022, doi:10.1109/ACCESS.2022.3225413.

-R. Zewail, “Multimodal Diagnosis of COVID-19 Using Deep Wavelet Scattering Networks,” chapter, In book: Advanced AI and Internet of Health Things for Combating Pandemics, Springer Internet of Things Book Series, June 2023.

-R. Zewail, A. HagElSafi, “Appearance-based Salient Features Extraction in Medical Images Using Sparse Contourlet-based Representation,”International Journal of Image, Graphics and Signal Processing. 9. 1-10. 10.5815/ijigsp.2017.09.01.

- R. Zewail, A. Hag ElSafi, “Multi-scale Sparse Appearance Modeling And Simulation of Pathological Deformations,” , ICTACT Journal on Image and Video Processing. 8. 1596-1605. 10.21917/ijivp.2017.0225.

-R. Zewail, A. Hag El Safi, N. Durdle, “Quantification of Localized Vertebrae Deformities using a sparse wavelet-based shape model” Studies in Health and Informatics, 2008.

Patent(s)
“System and Method for Controlling Downhole Tool,”  US Patent Number 9488045, November, 2016.

J. Herman, R. Zewail, T. Ogawa and S. E. Sagheer, "Lightweight Multiscale Attention-Aware Method for Semantic Segmentation of Urban Structural Buildings in Drone Aerial Imagery," 2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), Cairo, Egypt, 2023, pp. 338-344, doi: 10.1109/MIUCC58832.2023.10278371

R. Zewail, T. Bakr, A. Abdullatif, “Resource-Aware Identification Of COVID-19 Cough Sounds Using Wavelet Scattering Embeddings”, The 2nd e International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC-2022), Cairo, Egypt,  2022

Post-Graduate Level:
CSE 624 - Resource-Aware Machine Learning
CSE 521 - Embedded Machine Learning
CSE 505 - Advanced Embedded Systems 
CSE 501 - Advanced Programming Concepts

Under-Graduate Level:
CSE 211 -Introduction to Programming 
CSE 313 - Advanced Programming
CSE 324 - Embedded Systems
CSE 436 - Advanced Embedded Systems

INVITED TECHNICAL SPEAKER

“The BIG Data vs Sparse Data Challenge”, Tutorial at the 2020 IEEE 6^th World Forum on Internet of Things (WF-IoT 2020), 2020.

  “Can The Energy Industry Play Catch up with IIoT ? What does it need to stay ahead of the curve”, A Panel discussion Session, Global Petroleum Show Technical Conference, Calgary, AB, Canada, June 2019.