[J15] Trust-QoE for Zero-Touch Networks
Submitted to the IEEE Transactions on Networking, 2026
Publications
You can also find my articles on my Google Scholar profile.
Submitted Works
[C22] Explainable Multi-Horizon Video QoE Forecasting for Zero-Touch CDN-SDN Networks
Submitted to the IEEE International Conference on Computer Communications (INFOCOM), 2026
[C21] Low-Complexity Sensing-Aware PAPR Reduction for AFDM-Based ISAC Systems
Submitted to the IEEE 1st Annual Integrated Sensing and Communication Conference (ISAC), 2026
[C20] Explainable AI Assisted QoE Classification for Video Streaming Application
Submitted to the IEEE Wireless Communications and Networking Conference (WCNC), 2026
[C19] Impact of PA Nonlinearities on AFDM Sensing: A Matched Filtering Perspective
Submitted to the IEEE 1st Annual Integrated Sensing and Communication Conference (ISAC), 2026
[C18] Entropy-Centric Explainable AI for Remote Sensing Image Segmentation
Submitted to the International Conference on Emerging Trends in Engineering and Computing (ETECOM), 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
Books
[B1] Chapter Four - XAI for wireless communications
Published in Explainable AI for Communications and Networking, 2025
Journal Articles
[J13] X-REFINE: XAI-based RElevance input-Filtering and archItecture fiNe-tuning for channel Estimation
Published in IEEE Transactions on Vehicular Technology, 2026
[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
[C17] An Explainable and Objective-Aware DRL Framework for MEC-Enabled Vehicular Networks
Published in The International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2026
[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