4 citations · 13 across the 15 of their papers we have counts for
18 papers
Impact of PA Nonlinearities on AFDM Sensing: A Matched Filtering Perspective
Eya Gourar, Yahia Medjahdi, Laurent Clavier +2
Affine Frequency Division Multiplexing (AFDM) is a promising waveform for integrated sensing and communications (ISAC) due to its Doppler resilience. However, such waveforms exhibi…
X-RACE: XAI-assisted Recurrent neural network Attribution for Channel Estimation
Abdul Karim Gizzini, Yahia Medjahdi
Deep learning models, notably Long Short-Term Memory (LSTM), have demonstrated promising performance in channel estimation for high-mobility vehicular environments. However, their…
Entropy-Centric Explainable AI for Remote Sensing Image Segmentation
Ali Saleh, Abdul Karim Gizzini, Mohamad Ghassany +1
Artificial intelligence (AI) has become a powerful approach to solving complex problems in critical domains. Many concerns arise regarding the decision-making process of its models…
Low-Complexity Sensing-Aware PAPR Reduction for AFDM-based ISAC Systems
Eya Gourar, Abdul Karim Gizzini, Yahia Medjahdi +2
Integrated sensing and communication (ISAC) has emerged as a key technology for future wireless networks by enabling communication and environmental sensing through a common wavefo…
X-REFINE: XAI-based RElevance input-Filtering and archItecture fiNe-tuning for channel Estimation
Abdul Karim Gizzini, Yahia Medjahdi
AI-native architectures are vital for 6G wireless communications. The black-box nature and high complexity of deep learning models employed in critical applications, such as channe…
On the Ambiguity Function of OFDM-based ISAC Signals Under Non-Ideal Power Amplifiers
Eya Gourar, Yahia Medjahdi, Laurent Clavier +2
Integrated Sensing and Communications (ISAC) has garnered significant attention as a promising technology for next-generation wireless and vehicular communications. Among candidate…
Explainable Deep Learning for Secrecy Energy-Efficiency Maximization in Ambient Backscatter Multi-User NOMA Systems
Miled Alam, Abdul Karim Gizzini, Laurent Clavier
In this paper, we investigate the secrecy energy-efficiency (SEE) of a multi-user downlink non-orthogonal multiple access (NOMA) system assisted by multiple ambient backscatter com…
A Quantitative Evaluation Framework for Explainable AI in Semantic Segmentation
Reem Hammoud, Abdul Karim Gizzini, Ali J. Ghandour
Ensuring transparency and trust in artificial intelligence (AI) models is essential as they are increasingly deployed in safety-critical and high-stakes domains. Explainable AI (XA…
Explainable AI for Enhancing Efficiency of DL-based Channel Estimation
Abdul Karim Gizzini, Yahia Medjahdi, Ali J. Ghandour +1
The support of artificial intelligence (AI) based decision-making is a key element in future 6G networks, where the concept of native AI will be introduced. Moreover, AI is widely…
Extending CAM-based XAI methods for Remote Sensing Imagery Segmentation
Abdul Karim Gizzini, Mustafa Shukor, Ali J. Ghandour
Current AI-based methods do not provide comprehensible physical interpretations of the utilized data, extracted features, and predictions/inference operations. As a result, deep le…
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentation
Hossein Shreim, Abdul Karim Gizzini, Ali J. Ghandour
eXplainable Artificial Intelligence (XAI) has emerged as an essential requirement when dealing with mission-critical applications, ensuring transparency and interpretability of the…
RNN Based Channel Estimation in Doubly Selective Environments
Abdul Karim Gizzini, Marwa Chafii
Doubly-selective channel estimation represents a key element in ensuring communication reliability in wireless systems. Due to the impact of multi-path propagation and Doppler inte…
Towards Explainable AI for Channel Estimation in Wireless Communications
Abdul Karim Gizzini, Yahia Medjahdi, Ali J. Ghandour +1
Research into 6G networks has been initiated to support a variety of critical artificial intelligence (AI) assisted applications such as autonomous driving. In such applications, A…
Deep Learning Based Channel Estimation in High Mobility Communications Using Bi-RNN Networks
Abdul Karim Gizzini, Marwa Chafii
Doubly-selective channel estimation represents a key element in ensuring communication reliability in wireless systems. Due to the impact of multi-path propagation and Doppler inte…
Deep Neural Network Augmented Wireless Channel Estimation for Preamble-based OFDM PHY on Zynq System on Chip
Syed Asrar ul haq, Abdul Karim Gizzini, Shakti Shrey +3
Reliable and fast channel estimation is crucial for next-generation wireless networks supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) ba…
A Survey on Deep Learning based Channel Estimation in Doubly Dispersive Environments
Abdul Karim Gizzini, Marwa Chafii
Wireless communications systems are impacted by multi-path fading and Doppler shift in dynamic environments, where the channel becomes doubly-dispersive and its estimation becomes…
Temporal Averaging LSTM-based Channel Estimation Scheme for IEEE 802.11p Standard
Abdul Karim Gizzini, Marwa Chafii, Shahab Ehsanfar +1
In vehicular communications, reliable channel estimation is critical for the system performance due to the doubly-dispersive nature of vehicular channels. IEEE 802.11p standard all…
CNN aided Weighted Interpolation for Channel Estimation in Vehicular Communications
Abdul Karim Gizzini, Marwa Chafii, Ahmad Nimr +2
IEEE 802.11p standard defines wireless technology protocols that enable vehicular transportation and manage traffic efficiency. A major challenge in the development of this technol…