Rami Zewail

Assistant Professor
rami.zewail@ejust.edu.eg

Personal Info

Computer Science & Engineering

Dr. Rami 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. He has over 15 years of academic and industrial R&D experience in areas of computer vision, machine learning, and embedded intelligence. Dr Zewail’s research experience spans different fields such as HealthCare, Oil & Gas industry , and Biometrics authentication. Dr. Zewail is a member of the Institute of Electrical and Electronics Engineers (IEEE), The Canadian Association for Artificial Intelligence and he serves as reviewer for a number of scientific journals. Dr Zewail's research interests lie in the areas of computer vision, machine learning and embedded intelligence with focus on learning in resource-constrained settings.

Impacted Journal

 

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

 

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

 

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

 

“Quantification of Localized Vertebrae Deformities using a sparse wavelet-based shape model” Rami Zewail, Ahmed ElSafi, Nelson Durdle, Studies in Health and Informatics, 2008.

 

International Conference

 

“Vertebral segmentation using Contourlet-based Salient Matching and Localized Multi-scale Shape Prior”, Rami Zewail, Ahmed ElSafi, Nelson Durdle, Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72594Z (2009)

 

“Steerable optical flow based image registration: application to aligning human torso images,” Elsafi, Ahmed; Zewail, Rami; Durdle, Nelson, Proceedings of the SPIE, Volume 7341, id. 73410F (2009).

 

 “Statistical simulation of deformations using wavelet independent component analysis,” Ahmed Elsafi , Rami Zewail , Nelson Durdle, Proc. SPIE 6978, Visual Information Processing XVII, 697813 (April 01, 2008)

 

"Iris identification using contourlet transform", Rami Zewail, Mrinal Mandal, Nelson Durdle, Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 64970C ,February 27, 2007

 

"Elastic image registration using subspace constraints", Ahmed ElSafi, Rami Zewail, Nelson Durdle, Proc. SPIE 6575, Visual Information Processing XVI, 65750E ,April 25, 2007.

 

"Wavelet-based Independent Component Analysis for Statistical Shape Modeling,”Rami Zewail, Ahmed ElSafi, Nelson Durdle, Canadian Conference on Electrical and Computer Engineering , 2007.

 

“Multi-scale Shape Prior using Wavelet Packet representation and Independent Component Analysis”, Rami Zewail, Ahmed ElSafi, Nelson Durdle, Proceedings of SPIE - The International Society for Optical Engineering, Match 2007.

 

 “Vertebral Classification using Localized pathology-related Shape Model” Rami Zewail, Ahmed ElSafi, Nelson Durdle, Proceedings of SPIE - The International Society for Optical Engineering, 2007

 

“Statistical Deformation Model For Intensity Based Image Registration,” Ahmed Elsafi · Rami Zewail · Nelson Durdle, IEEE Canadian Conference on Electrical and Computer Engineering, 2007.

 

“Reconfigurable, fully scalable integer wavelet transform unit for JPEG2000,” R. Zewail · P. Marshall · S. Kozicki, N. Durdle, IEEE Canadian Conference on Electrical and Computer Engineering, 2005.

 

Hazem H. Ali, Ahmed S. AbdelGader, Rami Zewail, "Reconfigurable Architecture for Lifting Based Discrete Wavelet Transform", Proc. International Conference on Electrical, Electronic and Computer Engineering ICEEC’04, pp. 641 – 644. , 2004.

 

 “ Soft and hard biometrics fusion for improved identity verification,” R. Zewail · A. Elsafi · M. Saeb · N. Hamdy, IEEE 47th Midwest Symposium on Circuits and Systems, 2004.

 

 “ Iris identification based on log Gabor filtering,”  A. Seif, R. Zewail,  M. Saeb, N. Hamdy,     IEEE Midwest Symposium on Circuits and Systems 1:333 - 336 Vol. 1 · January 2004.

 

“ Fingerprint recognition based on spectral feature extraction,”  R. Zewail, A. Seif, M. Saeb, N. Hamdy,    46th IEEE Midwest Symposium on Circuits and Systems, 2003.

 

Funded Research Grants

 

Autonomous Intelligent Steerable Systems, Research Project, Advanced Research & Development Centre, National Oilwell Varco, Canada, 2008-2013

 

Data Analytics & Intelligence For UpStream Oil & Gas Sector, Research Project, Advanced Research & Development Centre, National Oilwell Varco, Canada.

 

Downhole Downlink Communication Systems, Research Project, Advanced Research & Development Centre, National Oil Varco, Canada, 2010-2015.

 

Electronically Actuated Under-Reamer, Proof of Concept R&D Project, Advanced Research & Development Centre, National Oilwell Varco, Canada, 2015-2017.

 

Artificial Intelligence-Enabled Embedded Solutions for Industrial Applications, Proof-of-Concept & Prototyping, Alberta Innovates, 2017.

 

Computer vision and machine learning for interpretation and quantification of medical images, University of Alberta Canada, 2005-2007.

 

Izaak Walton Killam Memorial Fellow , University of Alberta, 2008.  

    Most prestigious University Award for outstanding research caliber.

 

Travel Grant, SPIE International Society for Optical Engineering, USA,2006. 

 

Travel Grant, SPIE the International Society for Optical Engineering, USA, 2007.

Non Impacted Journal

“A Multi-Scale Best Basis Sparse Learning Framework for Efficient IoT Big Data Applications,” International Journal of Computer Science and Communication Security, Vol 8,2018.

National Conference

 

 

 

“Resource-Aware Identification Of COVID-19 Cough Sounds Using Wavelet Scattering Embeddings”, Rami Zewail, Tameem Bakr, Ahmed Abullatif , The 2nd e International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC-2022), Cairo, Egypt,  2022

 

 

“Condition Monitoring Using IIoT-based Sparse Learning System”, Rami Zewail, Ahmed Hag ElSafi, , 10th Mediterranean Offshore Conference, Alexandria, Egypt,  2019

 

 "Reconfigurable Architecture for Lifting Based Discrete Wavelet Transform", Hazem H. Ali, Ahmed S. AbdelGader, Rami F. Zewail,Proc. International Conference on Electrical, Electronic and Computer Engineering ICEEC’04, pp. 641 – 644. , 2004.

 

 “A Micro-Architecture Implementation of YAEA Encryption Algorithm Utilizing VHDL and Field Programmable Gate Arrays (FPGAs),” Magdy Saeb, Rami Zewail, Ahmed Seif, 3rd International Conference on Electrical Engineering and FPGA Technology, Military Technical College, Egypt, 2002.

 

Courses Teaching

Under-Graduate Level:

CSE 211 -Introduction to Programming 

CSE 313 - Advanced Programming

 

Post-Graduate Level:

CSE 567 - Applied Machine Learning for Image Analysis

CSE 521 - Embedded Machine Learning

CSE 505 - Advanced Embedded Systems 

CSE 501 - Advanced Programming Concepts

 

 

 

 

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.

  

Session chair at 8th International Japan-Africa Conference on Electronics, Communications, and Computers (JAC-ECC2020), “Next Generation Wireless Networks in Smart Cities Workshop”, December, 2020