Aymen Hamrouni

Aymen Hamrouni

Stevens Institute of Technology

H-index: 9

North America-United States

About Aymen Hamrouni

Aymen Hamrouni, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Stevens Institute of Technology, specializes in the field of Deep Learning, Graph Theory, Graph Neural Networks, IoT.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-Rotor UAVs in Crowd Management Systems: Opportunities and Challenges

Socially connected internet-of-things devices for crowd management systems

Real-time Video Frame De-raining using Disentangled Generative Models

V3Trans-Crowd: A Video-based Visual Transformer for Crowd Management Monitoring

Multi-modal Asymmetric Autoencoders for Massive Photo Collection Applications

Context-Aware Service Discovery: Graph Techniques for IoT Network Learning and Socially Connected Objects

Service discovery in social internet of things using graph neural networks

Low-complexity recruitment for collaborative mobile crowdsourcing using graph neural networks

Aymen Hamrouni Information

University

Position

Research Scholar

Citations(all)

182

Citations(since 2020)

182

Cited By

31

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Aymen Hamrouni Skills & Research Interests

Deep Learning

Graph Theory

Graph Neural Networks

IoT

Top articles of Aymen Hamrouni

Multi-Rotor UAVs in Crowd Management Systems: Opportunities and Challenges

2023/12/18

Socially connected internet-of-things devices for crowd management systems

2023/5/4

Aymen Hamrouni
Aymen Hamrouni

H-Index: 4

Real-time Video Frame De-raining using Disentangled Generative Models

2023/3/19

V3Trans-Crowd: A Video-based Visual Transformer for Crowd Management Monitoring

2023/3/19

Aymen Hamrouni
Aymen Hamrouni

H-Index: 4

Hakim Ghazzai
Hakim Ghazzai

H-Index: 19

Multi-modal Asymmetric Autoencoders for Massive Photo Collection Applications

2022/11/11

Aymen Hamrouni
Aymen Hamrouni

H-Index: 4

Hakim Ghazzai
Hakim Ghazzai

H-Index: 19

Context-Aware Service Discovery: Graph Techniques for IoT Network Learning and Socially Connected Objects

IEEE Access

2022/10/5

Service discovery in social internet of things using graph neural networks

2022/8/7

Aymen Hamrouni
Aymen Hamrouni

H-Index: 4

Hakim Ghazzai
Hakim Ghazzai

H-Index: 19

Low-complexity recruitment for collaborative mobile crowdsourcing using graph neural networks

IEEE Internet of Things Journal

2021/6/3

Toward collaborative mobile crowdsourcing

IEEE Internet of Things Magazine

2021/6

Evolutionary algorithms for 5G multi-tier radio access network planning

IEEE Access

2021/2/10

An evolutionary algorithm for collaborative mobile crowdsourcing recruitment in socially connected iot systems

2020/12/12

Optimal Team Recruitment Strategies For Collaborative Mobile Crowdsourcing Systems

2020/6/3

A Trustworthy Recruitment Process for Spatial Mobile Crowdsourcing in Large-scale Social IoT

2020/6

Many-to-many Recruitment and Scheduling in Spatial Mobile Crowdsourcing

IEEE Access

2020/3/9

Aymen Hamrouni
Aymen Hamrouni

H-Index: 4

Hakim Ghazzai
Hakim Ghazzai

H-Index: 19

A Spatial Mobile Crowdsourcing Framework for Event Reporting

IEEE transactions on computational social systems

2020/2/4

Aymen Hamrouni
Aymen Hamrouni

H-Index: 4

Hakim Ghazzai
Hakim Ghazzai

H-Index: 19

See List of Professors in Aymen Hamrouni University(Stevens Institute of Technology)

Co-Authors

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