15 citations · 31 across the 11 of their papers we have counts for
11 papers
Joint Mobile User Positioning and Passive Target Sensing using Optimized Sequential Beamforming
Aymen Hamrouni, Sofie Pollin, Hazem Sallouha
Integrated sensing and communication (ISAC) relies on monostatic sensing (MS) and bistatic positioning (BP) to enable comprehensive environmental awareness and user localization. H…
Graph Neural Networks for Vehicular Social Networks: Trends, Challenges, and Opportunities
Elham Binshaflout, Aymen Hamrouni, Hakim Ghazzai
Graph Neural Networks (GNNs) have emerged as powerful tools for modeling complex, interconnected data, making them particularly well suited for a wide range of Intelligent Transpor…
Resource Allocation in Hybrid Radio-Optical IoT Networks using GNN with Multi-task Learning
Aymen Hamrouni, Sofie Pollin, Hazem Sallouha
This paper addresses the problem of dual-technology scheduling in hybrid Internet-of-Things (IoT) networks that integrate Optical Wireless Communication (OWC) with Radio Frequency…
AoI in Context-Aware Hybrid Radio-Optical IoT Networks
Aymen Hamrouni, Sofie Pollin, Hazem Sallouha
With the surge in IoT devices ranging from wearables to smart homes, prompt transmission is crucial. The Age of Information (AoI) emerges as a critical metric in this context, repr…
Service Discovery in Social Internet of Things using Graph Neural Networks
Aymen Hamrouni, Hakim Ghazzai, Yehia Massoud
Internet-of-Things (IoT) networks intelligently connect thousands of physical entities to provide various services for the community. It is witnessing an exponential expansion, whi…
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
Collaborative Mobile crowdsourcing (CMCS) allows entities, e.g., local authorities or individuals, to hire a team of workers from the crowd of connected people, to execute complex…
Towards Collaborative Mobile Crowdsourcing
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
Mobile Crowdsourcing (MC) is an effective way of engaging large groups of smart devices to perform tasks remotely while exploiting their built-in features. It has drawn great atten…
A Photo-Based Mobile Crowdsourcing Framework for Event Reporting
Aymen Hamrouni, Hakim Ghazzai, Mounir Frikha +1
Mobile Crowdsourcing (MCS) photo-based is an arising field of interest and a trending topic in the domain of ubiquitous computing. It has recently drawn substantial attention of th…
A Stochastic Team Formation Approach for Collaborative Mobile Crowdsourcing
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
Mobile Crowdsourcing (MCS) is the generalized act of outsourcing sensing tasks, traditionally performed by employees or contractors, to a large group of smart-phone users by means…
Optimal Team Recruitment Strategies for Collaborative Mobile Crowdsourcing Systems
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
The wide spread of mobile devices has enabled a new paradigm of innovation called Mobile Crowdsourcing (MCS) where the concept is to allow entities, e.g., individuals or local auth…
A Trustworthy Recruitment Process for Spatial Mobile Crowdsourcing in Large-scale Social IoT
Abdullah Khanfor, Aymen Hamrouni, Hakim Ghazzai +2
Spatial Mobile Crowdsourcing (SMCS) can be leveraged by exploiting the capabilities of the Social Internet-of-Things (SIoT) to execute spatial tasks. Typically, in SMCS, a task req…