A Stochastic Team Formation Approach for Collaborative Mobile Crowdsourcing. - Aymen Hamrouni; Hakim Ghazzai; Turki Alelyani; Yehia Massoud (ICM, 2019)

A Photo-Based Mobile Crowdsourcing Framework for Event Reporting. - Aymen Hamrouni; Hakim Ghazzai; Mounir Frikha; Yehia Massoud (MWSCAS, 2019)

An Evolutionary Algorithm for Collaborative Mobile Crowdsourcing Recruitment in Socially Connected IoT Systems. - Aymen Hamrouni; Hakim Ghazzai; Turki Alelyani; Yehia Massoud (GCAIoT, 2020)

Many-to-Many Recruitment and Scheduling in Spatial Mobile Crowdsourcing. - Aymen Hamrouni; Hakim Ghazzai; Yehia Massoud (IEEE Access, 2020)

A Trustworthy Recruitment Process for Spatial Mobile Crowdsourcing in Large-scale Social IoT. - Abdullah Khanfor; Aymen Hamrouni; Hakim Ghazzai; Ye Yang; Yehia Massoud (CoRR, 2020)

Optimal Team Recruitment Strategies for Collaborative Mobile Crowdsourcing Systems. - Aymen Hamrouni; Hakim Ghazzai; Turki Alelyani; Yehia Massoud (CoRR, 2020)

A Photo-Based Mobile Crowdsourcing Frameworkfor Event Reporting. - Aymen Hamrouni; Hakim Ghazzai; Mounir Frikha; Yehia Massoud (CoRR, 2020)

A Spatial Mobile Crowdsourcing Framework for Event Reporting. - Aymen Hamrouni; Hakim Ghazzai; Mounir Frikha; Yehia Massoud (IEEE Trans. Comput. Soc. Syst., 2020)

Evolutionary Algorithms for 5G Multi-Tier Radio Access Network Planning. - Hassana Ganame; Yingzhuang Liu; Aymen Hamrouni; Hakim Ghazzai; Hua Chen (IEEE Access, 2021)

Towards Collaborative Mobile Crowdsourcing. - Aymen Hamrouni; Hakim Ghazzai; Turki Alelyani; Yehia Massoud (CoRR, 2021)

Toward Collaborative Mobile Crowdsourcing. - Aymen Hamrouni; Turki Alelyani; Hakim Ghazzai; Yehia Massoud (IEEE Internet Things Mag., 2021)

Multi-modal Asymmetric Autoencoders for Massive Photo Collection Applications. - Aymen Hamrouni; Hakim Ghazzai; Yehia Massoud (APCCAS, 2022)

Service Discovery in Social Internet of Things using Graph Neural Networks. - Aymen Hamrouni; Hakim Ghazzai; Yehia Massoud (MWSCAS, 2022)

Context-Aware Service Discovery: Graph Techniques for IoT Network Learning and Socially Connected Objects. - Aymen Hamrouni; Abdullah Khanfor; Hakim Ghazzai; Yehia Massoud (IEEE Access, 2022)

Low-Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks. - Aymen Hamrouni; Hakim Ghazzai; Turki Alelyani; Yehia Massoud (IEEE Internet Things J., 2022)

Real-time Video Frame De-raining using Disentangled Generative Models. - Aymen Hamrouni; Raby Hamadi; Hakim Ghazzai; Yehia Massoud (SM, 2023)

V3Trans-Crowd: A Video-based Visual Transformer for Crowd Management Monitoring. - Yuqi Zuo; Aymen Hamrouni; Hakim Ghazzai; Yehia Massoud (SM, 2023)

Multi-Rotor UAVs in Crowd Management Systems: Opportunities and Challenges. - Aymen Hamrouni; Hakim Ghazzai; Hamid Menouar; Yehia Massoud (IEEE Internet Things Mag., 2023)

LSTM-based Dynamic Routing with non-ISL LEO Satellite Constellations for Remote IoT Connectivity. - Aymen Hamrouni; Hakim Ghazzai; Gianluca Setti; Lokman Sboui (GLOBECOM, 2024)

AoI in Context-Aware Hybrid Radio-Optical IoT Networks. - Aymen Hamrouni; Sofie Pollin; Hazem Sallouha (GLOBECOM, 2024)