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Prof. Mohamed El-Helw

Associate Dean for PG Programs

Faculty Office Ext.

1755

Faculty Building

UB1

Office Number

205

Biography

Dr. Mohamed El-Helw; CIS director. He joined Nile University as an Assistant Professor in 2008 where he led the Ubiquitous and Visual Computing Group (UbiComp) at the Centre for Informatics Science (CIS). Prior to moving to NU, Dr. ElHelw had been working as post-doctoral researcher at the Department of Computing and the Institute of Biomedical Engineering, Imperial College London where he carried out work on the use of image-based modeling and rendering techniques for medical simulation, understanding visual perception and the development of wireless body sensor networks. His research interests are focused on ubiquitous systems, computer vision, 3D computer graphics, deep neural networks, and scientific computing. He has a proven research and development track record in the above areas with more than 70 refereed publications and major research grants of more than EGP 25 million.

Dr. ElHelw received B.Sc. in Computer Science from the American University in Cairo, M.Sc. in Computer Science from the University of Hull, UK, and Ph.D. in Computer Science from Imperial College London, University of London in 2006. He also holds a Diploma in Visual Information Processing (DIC) from Imperial College London. He is a full Professor and a Senior Member of the IEEE society

Achievements

1) Mohamed El-Helw received the Cairo Innovates Award 2014 for Innovation from the Academy for Scientific Research and Innovation (ASRT).

2) Best paper award in the International Conference on Pervasive Computing Technologies for Healthcare held in London, UK, 2009.
3) Certificate of Recognition, Microsoft Research, 2010.
4) 3rd place winner of the International AMD OpenCL Innovation Challenge Competition 2011.
5) Winner of the 2014 Cairo Innovate Award.
6) Creator and leader of the Ubiquitous and Visual Computing Group (UbiComp).

Research Tracks
  • Machine Learning and Pattern Recognition
  • Computer Vision
  • Computer Graphics and Visualization
Projects
1
Research Project

AgriSem: Semantic Web Technologies for Agricultural Data Interoperability

Objective/Contributions: The amount and types of raw data generated within the agriculture domain are dramatically growing. However, these raw data in themselves are meaningless and isolated, and therefore may offer little value to the farmer. The Agricultural Research Center (ARC)and the Central Lab for Agricultural Expert Systems (CLAES) was established to enhance the productivity of knowledge
a
Research Project

Rice Plant Disease Detection and Diagnosis Using Deep Convolutional Neural Networks and Hyperspectral Imaging

Objective/Contributions: One of the main challenges of early detection of key rice blast disease is that it can be misclassified as the brown spot disease by less experienced agriculture extension officers (as both are fungal diseases and have similar appearances in their early stages) which can lead to wrong treatment. Given the current scarcity of experienced extension officers in the country
3
Research Project

Smart Agricultural Clinic: Egyptian Farmer Electronic Platform for the Future

Objective/Contributions: Smart agricultural clinic (SAC) aims to: 1) Provide an integrated end-to-end digital system to effectively deliver personalized agriculture extension and veterinary services, including best cultivation, fertilization and breeding practices, to farmers and animal producers through the use of mobile/handheld devices. 2) Use advanced computer vision and deep learning
3
Research Project

Subsidies Mobile Wallet (SMW) and Its Applications to Fertilizer Distribution

Objective/Contributions: The subsidy is a strategic service in Emerging countries like Egypt; it makes available essential items to poor people at discounted prices, as they are unable to purchase such items or services at their market price. The subsidy is always a hot topic that floats every year with the preparation of any annual government budget in Egypt. Subsidy remains a major burden for
Research Project

TraffiSense-Pro

Objective/Contributions: Prolonged daily periods of road traffic congestion waste time, and money, and degrade both the environment and our quality of life. In Egypt, the problem is significant with severe traffic delays and high accident rates leading to devastating effects on economic growth and challenging any progression towards sustainable development. Conventional traffic management