[C20] Explainable AI Assisted QoE Classification for Video Streaming Application
Submitted to the IEEE Global Communications Conference (GLOBECOM), 2026
Publications
You can also find my articles on my Google Scholar profile.
Submitted Works
[C19] An Explainable and Objective-Aware DRL Framework for MEC-Enabled Vehicular Networks
Submitted to the International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2026
[C18] Impact of PA Nonlinearities on AFDM Sensing: A Matched Filtering Perspective
Submitted to the IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2026
[J15] X-REFINE: XAI-based RElevance input-Filtering and archItecture fiNe-tuning for channel Estimation
Submitted to the IEEE Transactions on Vehicular Technology, 2026
[C17] Entropy-Centric Explainable AI for Remote Sensing Image Segmentation
Accepted for publication in the IEEE Geoscience and Remote Sensing Society (GRSS) Conference, 2026
[J14] On the Ambiguity Function of OFDM-based ISAC Signals Under Non-Ideal Power Amplifiers
Submitted to the IEEE Journal on Selected Areas in Communications, 2025
[J13] Explainable Deep Learning for Secrecy Energy-Efficiency Maximization in Ambient Backscatter Multi-User NOMA Systems
Submitted to the IEEE Transactions on Green Communications and Networking, 2025
Books
[B1] Chapter Four - XAI for wireless communications
Published in Explainable AI for Communications and Networking, 2025
Journal Articles
[J12] Reconfigurable Deep Learning Augmented Channel Estimation for Vehicular Networks on System on Chip
Published in IEEE Transactions on Consumer Electronics, 2025
[J11] Explainable AI for Enhancing Efficiency of DL-based Channel Estimation
Published in IEEE Transactions on Machine Learning in Communications and Networking, 2025
[J10] Towards Explainable AI for Channel Estimation in Wireless Communications
Published in IEEE Transactions on Vehicular Technology, 2023
[J09] RNN Based Channel Estimation in Doubly Selective Environments
Published in IEEE Transactions on Machine Learning in Communications and Networking, 2023
[J08] Deep Neural Network Augmented Wireless Channel Estimation for Preamble-Based OFDM PHY on Zynq System on Chip
Published in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023
[J07] A Survey on Deep Learning Based Channel Estimation in Doubly Dispersive Environments
Published in IEEE Access, 2022
[J06] Low Complex Methods for Robust Channel Estimation in Doubly Dispersive Environments
Published in IEEE Access, 2022
[J05] CNN Aided Weighted Interpolation for Channel Estimation in Vehicular Communications
Published in IEEE Transactions on Vehicular Technology, 2021
[J04] MUSA Grant-Free Access Framework and Blind Detection Receiver
Published in Journal of Communication and Information Systems, 2021
[J03] Deep Learning Based Channel Estimation Schemes for IEEE 802.11p Standard
Published in IEEE Access, 2020
[J02] Building shadow detection based on multi-thresholding segmentation
Published in Signal, Image and Video Processing, 2019
[J01] Autonomous Building Detection Using Edge Properties and Image Color Invariants
Published in Buildings, 2018
Conference Papers
[C16] A Quantitative Evaluation Framework for Explainable AI in Semantic Segmentation
Published in 8th ISPRS Geospatial Conference, 2025
[C15] Analysis of PAPR-Aware OFDM Waveforms for Integrated Sensing and Communication
Published in 2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring), 2025
[C14] Secrecy Energy-Efficient Solution in Multi-User NOMA-Enabled Ambient Backscattering
Published in 2025 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2025
[C13] Secure Transmission in NOMA Systems: An Efficient Resource Allocation Strategy Using Deep Learning
Published in 2024 IEEE Conference on Standards for Communications and Networking (CSCN), 2024
[C12] GRACE: Gradient-based XAI Scheme for Channel Estimation in Wireless Communications
Published in 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2024
[C11] Extending GradCam-based XAI methods for Remote Sensing Imagery Segmentation
Published in The 5th International Electronic Conference on Remote Sensing session Remote sensing applications, 2024
[C10] Low Complexity Deep Learning Aided Channel Estimation Architecture for Vehicular Networks
Published in 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024
[C09] Trainable Noise Model as an Explainable Artificial Intelligence Evaluation Method: Application on Sobol for Remote Sensing Image Segmentation
Published in Environmental Sciences Proceedings, 2023
[C08] Deep Learning Based Channel Estimation in High Mobility Communications Using Bi-RNN Networks
Published in ICC 2023-IEEE International Conference on Communications, 2023
[C07] Performance Comparison of IEEE 802.11p, 802.11bd-draft and a Unique-Word-based PHY in Doubly-Dispersive Channels
Published in 2022 IEEE Wireless Communications and Networking Conference (WCNC), 2022
[C06] Temporal Averaging LSTM-based Channel Estimation Scheme for IEEE 802.11p Standard
Published in 2021 IEEE global communications conference (GLOBECOM), 2021
[C05] Joint TRFI and Deep Learning for Vehicular Channel Estimation
Published in 2020 IEEE Globecom Workshops (GC Wkshps), 2020
[C04] Adaptive Channel Estimation based on Deep Learning
Published in 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 2020
[C03] Enhancing Least Square Channel Estimation Using Deep Learning
Published in 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 2020
[C02] Autonomous Vehicle Detection and Classification in High Resolution Satellite Imagery
Published in 2018 International Arab Conference on Information Technology (ACIT), 2018
[C01] Post-War Building Damage Detection
Published in The 2nd International Electronic Conference on Remote Sensing, 2018