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Prof. Mohamed El-Helw

Associate Dean for PG Programs & Director of Center for Informatics (CIS)

Faculty Office Ext.

1755

Faculty Building

UB1

Office Number

205

Biography

Prof. Mohamed El-Helw is the Director of the Centre for Informatics Science (CIS). 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, Prof. El-Helw had been working as a 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.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. El-Helw received a B.Sc. in Computer Science from the American University in Cairo, an M.Sc. in Computer Science from the University of Hull, UK, and a 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).

Recent Publications

Ambient and wearable sensing for gait classification in pervasive healthcare environments

Pervasive healthcare environments provide an effective solution for monitoring the wellbeing of the elderly where the general trend of an increasingly ageing population has placed significant burdens on current healthcare systems. An important pervasive healthcare system functionality is patient motion analysis where gait information can be used to detect walking behavior abnormalities that may

Artificial Intelligence
Healthcare
Software and Communications

WASP: Wireless autonomous sensor prototype for Visual Sensor Networks

Visual Sensor Networks (VSNs) enable enhanced three-dimensional sensing of spaces and objects, and facilitate collaborative reasoning to open up a new realm of vision-based distributed smart applications including security/surveillance, healthcare delivery, traffic monitoring, just to name a few. However, such applications require sensor nodes that can efficiently process large volumes of visual

Artificial Intelligence

Monitoring and visualization of large WSN deployments

Recent developments in wireless sensor networks have ushered in novel ubiquitous computing applications based on distributed large-scale data acquisition and interactive interpretation. However, current WSNs suffer from lack of effective tools to support large network deployment and administration as well as unavailability of interactive visualization techniques required to explore and analyze

Software and Communications

Change analysis for gait impairment quantification in smart environments

Visual Sensor Networks (VSNs) open up a new realm of smart autonomous applications based on enhanced three- dimensional sensing and collaborative reasoning. An emerging VSN application domain is pervasive healthcare delivery where gait information computed from distributed vision nodes is used for observing the wellbeing of the elderly, quantifying post-operative patient recovery and monitoring

Healthcare
Software and Communications

Body and visual sensor fusion for motion analysis in Ubiquitous healthcare systems

Human motion analysis provides a valuable solution for monitoring the wellbeing of the elderly, quantifying post-operative patient recovery and monitoring the progression of neurodegenerative diseases such as Parkinson's. The development of accurate motion analysis models, however, requires the integration of multi-sensing modalities and the utilization of appropriate data analysis techniques

Artificial Intelligence
Healthcare

Interactive 3D visualization for wireless sensor networks

Wireless sensor networks open up a new realm of ubiquitous computing applications based on distributed large-scale data collection by embedded sensor nodes that are wirelessly connected and seamlessly integrated within the environment. 3D visualization of sensory data is a challenging issue, however, due to the large number of sensors used in typical deployments, continuous data streams, and

Software and Communications
Innovation, Entrepreneurship and Competitiveness

An integrated multi-sensing framework for pervasive healthcare monitoring

Pervasive healthcare provides an effective solution for monitoring the wellbeing of elderly, quantifying post-operative patient recovery and monitoring the progression of neurodegenerative diseases such as Parkinson's. However, developing functional pervasive systems is a complex task that entails the creation of appropriate sensing platforms, integration of versatile technologies for data stream

Artificial Intelligence
Research Tracks
  • Ubiquitous systems
  • 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