Youssef Iraqi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Youssef Iraqi has a total of 171 co-authors. Here are the top co-authors by number of shared publications:
- Loubna Mekouar
College of Computing, University Mohammed VI Polytechnic, Ben Guerir, Morocco
35 shared publications - Arafat Al-Dweik
Department of Computer and Information Engineering, Khalifa University, Abu Dhabi, United Arab Emirates
25 shared publications Raouf Boutaba
16 shared publicationsR. Boutaba
12 shared publications- Ernesto Damiani
Università degli Studi di Milano
10 shared publications Mahmoud Khonji
Electrical Engineering and Computer Science Department, Khalifa University, Abu Dhabi, UAE
10 shared publications
Latest Publications
- Open Access
- 9 November 2026
- Published by Association for Computing Machinery (ACM)
- p. 17358-17364
MaskedFOP: Polyglot Speaker Identification under Missing Visual Modality via Cascaded Graph Label Propagation
- 9 November 2026
- Published by Association for Computing Machinery (ACM)
- p. 17358-17364
Open AccessMaskedFOP: Polyglot Speaker Identification under Missing Visual Modality via Cascaded Graph Label Propagation
- Open Access
- 6 November 2026
- Published by Association for Computing Machinery (ACM)
- p. 4488-4498
PageRank Attributed Graph Subspace Clustering
- 6 November 2026
- Published by Association for Computing Machinery (ACM)
- p. 4488-4498
Open AccessPageRank Attributed Graph Subspace Clustering
- Open Access
- 2 October 2026
- Published by Association for Computing Machinery (ACM)
- p. 17-21
A Multi-Source Retrieve-Fuse-Rerank System for Conversational Music Recommendation
- 2 October 2026
- Published by Association for Computing Machinery (ACM)
- p. 17-21
Open AccessA Multi-Source Retrieve-Fuse-Rerank System for Conversational Music Recommendation
- Open Access
- 8 September 2026
- Published by Elsevier in Medical Image Analysis
- Vol. 115
Advancing automated phase recognition in cataract surgery through the SICS-155 challenge
- 8 September 2026
- Published by Elsevier in Medical Image Analysis
- Vol. 115
Open AccessAdvancing automated phase recognition in cataract surgery through the SICS-155 challenge
- Open Access
- 1 September 2026
- Published by Elsevier in City and Environment Interactions
- Vol. 31
Advancing climate resilience through artificial intelligence: A comprehensive review across urban and climate-sensitive sectors in Morocco
- 1 September 2026
- Published by Elsevier in City and Environment Interactions
- Vol. 31
Open AccessAdvancing climate resilience through artificial intelligence: A comprehensive review across urban and climate-sensitive sectors in Morocco
- Open Access
- 11 August 2026
- Published by Elsevier in Expert Systems with Applications
- Vol. 333
Recommendation as a service in smart cities: A scoping review and framework for adaptive quality of experience
- 11 August 2026
- Published by Elsevier in Expert Systems with Applications
- Vol. 333
Open AccessRecommendation as a service in smart cities: A scoping review and framework for adaptive quality of experience
- 27 June 2026
- Published by Springer Nature
- p. 375-381
When Textification Fails: Embedding Collapse in Student Dropout Prediction
- 27 June 2026
- Published by Springer Nature
- p. 375-381
When Textification Fails: Embedding Collapse in Student Dropout Prediction
- 1 May 2026
- Published by Springer Nature
- p. 95-107
Recommending the Right Recommender System Software: A Practical Guide
- 1 May 2026
- Published by Springer Nature
- p. 95-107
Recommending the Right Recommender System Software: A Practical Guide
- 18 April 2026
- Published by Springer Nature
- p. 239-252
E-PAGEC: A Differentiable Joint Attributed-Graph Embedding and Clustering Model
- 18 April 2026
- Published by Springer Nature
- p. 239-252
E-PAGEC: A Differentiable Joint Attributed-Graph Embedding and Clustering Model
- 3 April 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Wireless Communications
- Vol. 25 (15361276) , 14642-14658
Physical Layer Security for NOMA-OFDM Using Power Hopping
This article presents a physical layer security (PLS) technique for non-orthogonal multiple access (NOMA), which can provide joint secrecy, fairness, and bit error rate (BER) improvement. The approach employs power hopping (PH), where users’ power coefficients are dynamically varied according to the instantaneous channel conditions. By randomizing both the detection order and the effective power allocation, PH obscures the underlying NOMA structure from a passive eavesdropper (Eve), thereby severely degrading the data detection capability. To enable secure coordination, a precoding-based mechanism is developed for sharing the PH patterns among legitimate users, leveraging the random and independent nature of wireless channels. The BER and secrecy outage probability (SOP) of the proposed framework are analytically characterized and compared to conventional NOMA under various channel and eavesdropping configurations. The obtained analytical results, corroborated by Monte Carlo simulations, confirm the effectiveness of the proposed scheme, where the SOP of legitimate users is never compromised regardless of Eve’s channel conditions, while incurring only negligible additional complexity compared to conventional NOMA. Furthermore, the fairness and BER performance of stronger users are significantly improved through the combined use of PH and optimal power allocation.
- 3 April 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Wireless Communications
- Vol. 25 (15361276) , 14642-14658
Physical Layer Security for NOMA-OFDM Using Power Hopping
This article presents a physical layer security (PLS) technique for non-orthogonal multiple access (NOMA), which can provide joint secrecy, fairness, and bit error rate (BER) improvement. The approach employs power hopping (PH), where users’ power coefficients are dynamically varied according to the instantaneous channel conditions. By randomizing both the detection order and the effective power allocation, PH obscures the underlying NOMA structure from a passive eavesdropper (Eve), thereby severely degrading the data detection capability. To enable secure coordination, a precoding-based mechanism is developed for sharing the PH patterns among legitimate users, leveraging the random and independent nature of wireless channels. The BER and secrecy outage probability (SOP) of the proposed framework are analytically characterized and compared to conventional NOMA under various channel and eavesdropping configurations. The obtained analytical results, corroborated by Monte Carlo simulations, confirm the effectiveness of the proposed scheme, where the SOP of legitimate users is never compromised regardless of Eve’s channel conditions, while incurring only negligible additional complexity compared to conventional NOMA. Furthermore, the fairness and BER performance of stronger users are significantly improved through the combined use of PH and optimal power allocation.