Rami Zewail

Assistant Professor
rami.zewail@ejust.edu.eg

Personal Info

Computer Science & Engineering

Dr. Zewail has received his BSc. and MSc. degrees from the Arab Academy for Science and Technology, Egypt, and his PhD degree from the University of Alberta, Canada. Dr. Zewail has over 15 years of academic and industrial R&D experience in areas of machine learning, computer vision, and embedded intelligence. His experience spans different fields including industrial and medical applications. Dr Zewail's research focuses on resource-aware Artificial Intelligence tackling problems related to learning in resource-limited settings.

 

Research interests fall in the areas of machine learning and computer vision, and embedded intelligence with focus on tackling challenges related to learning in resource-constrained settings and limited data.
Areas of Expertise: AI, Resource-Aware Machine Learning, Computer Vision, Embedded Computing.





National Conference

- 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

 

Courses Teaching

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

Non Regular Seminars

 

INVITED TECHNICAL SPEAKER

 

The BIG Data vs Sparse Data Challenge”, Tutorial at the 2020 IEEE 6th 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.

 

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