1 citations · 1 across the 6 of their papers we have counts for
6 papers
Power from Space: Coordinated Satellite Charging for Off-Grid Wireless Systems
Osmel M. Rosabal, Amirhossein Azarbahram, Mateen Ashraf +4
Satellite-enabled wireless power transfer (WPT) may be a transformative solution for charging Internet of Things (IoT) devices in off-grid scenarios where traditional technologies…
Wireless Energy Transfer from Space to Ground via Satellite Constellation Grids
Mohammad Shehab, Osmel M. Rosabal, Onel L. A. Lopez +1
This letter presents a framework for space-to-ground wireless energy transfer (WET) for wirelessly chargeable devices (WCD) located in remote areas or disaster situations. We consi…
Multi-AUV Trajectory Learning for Sustainable Underwater IoT with Acoustic Energy Transfer
Mohamed Afouene Melki, Mohammad Shehab, Mohamed-Slim Alouini
The Internet of Underwater Things (IoUT) supports ocean sensing and offshore monitoring but requires coordinated mobility and energy-aware communication to sustain long-term operat…
TinyML NLP Scheme for Semantic Wireless Sentiment Classification with Privacy Preservation
Ahmed Y. Radwan, Mohammad Shehab, Mohamed-Slim Alouini
Natural Language Processing (NLP) operations, such as semantic sentiment analysis and text synthesis, often raise privacy concerns and demand significant on-device computational re…
Five Key Enablers for Communication during and after Disasters
Mohammad Shehab, Mustafa Kishk, Maurilio Matracia +2
Civilian communication during disasters such as earthquakes, floods, and military conflicts is crucial for saving lives. Nevertheless, several challenges exist during these circums…
Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm
Ahmed Elbakary, Chaouki Ben Issaid, Mohammad Shehab +3
Federated learning is a machine learning approach where multiple devices collaboratively learn with the help of a parameter server by sharing only their local updates. While gradie…