Single image superresolution using sparsity and dictionary learning in wavelet domain. - Mahmoud Nazzal; Hüseyin Özkaramanli (SIU, 2012)

Improved single image super-resolution using sparsity and structured dictionary learning in wavelet domain. - Mahmoud Nazzal; Hüseyin Özkaramanli (SIU, 2013)

Single Image Super-Resolution via Sparse Representation over Directionally Structured Dictionaries Based on the Patch Gradient Phase Angle. - Mahmoud Nazzal; Faezeh Yeganli; Hüseyin Özkaramanli (EMS, 2014)

Image Super-Resolution via Sparse Representation over Coupled Dictionary Learning Based on Patch Sharpness. - Faezeh Yeganli; Mahmoud Nazzal; Murat Unal; Hüseyin Özkaramanli (EMS, 2014)

Single image super resolution based on sparse representation via directionally structured dictionaries. - Fahime Farhadifard; Elham Abar; Mahmoud Nazzal; Huseyin Ozkaramanh (SIU, 2014)

Variable patch size sparse representation over learned dictionaries. - Mahmoud Nazzal; Hüseyin Özkaramanli (SIU, 2014)

Directionally-structured dictionary learning and sparse representation based on subspace projections. - Mahmoud Nazzal; Hüseyin Özkaramanli (SIU, 2015)

Selective super-resolution via sparse representations of sharp image patches using multiple dictionaries and bicubic interpolation. - Faezeh Yeganli; Mahmoud Nazzal; Hüseyin Özkaramanli (SIU, 2015)

Wavelet domain dictionary learning-based single image superresolution. - Mahmoud Nazzal; Hüseyin Özkaramanli (Signal Image Video Process., 2015)

Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness and gradient phase angle. - Faezeh Yeganli; Mahmoud Nazzal; Hüseyin Özkaramanli (Signal Image Video Process., 2015)

A Strategy for Residual Component-Based Multiple Structured Dictionary Learning. - Mahmoud Nazzal; Faezeh Yeganli; Hüseyin Özkaramanli (IEEE Signal Process. Lett., 2015)

Improved dictionary learning by constrained re-training over residual components. - Mahmoud Nazzal; Faezeh Yeganli; Hüseyin Özkaramanli (SIU, 2016)

Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation. - Faezeh Yeganli; Mahmoud Nazzal; Hüseyin Özkaramanli (SIU, 2016)

Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness. - Faezeh Yeganli; Mahmoud Nazzal; Murat Unal; Hüseyin Özkaramanli (Signal Image Video Process., 2016)

FDD Massive MIMO Downlink Channel Estimation via Selective Sparse Coding over AoA/AoD Cluster Dictionaries. - Mahmoud Nazzal; Haji Muhammad Furqan; Hüseyin Arslan (PIMRC, 2018)

Dictionary Learning-Based Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems with a Lens Antenna Array. - Mahmoud Nazzal; Mehmet Ali Aygül; Ali Görçin; Hüseyin Arslan (IWCMC, 2019)

Compressed Spectrum Sensing Using Sparse Recovery Convergence Patterns through Machine Learning Classification. - Mahmoud Nazzal; Orkun Hasekioglu; Ali Riza Ekti; Ali Görçin; Hüseyin Arslan (PIMRC, 2019)

Sparse Coding for Transform Domain-Based Sparse OFDM Channel Estimation. - Mahmoud Nazzal; Mehmet Ali Aygül; Ali Görçin; Hüseyin Arslan (SIU, 2019)

Exploiting Sparsity Recovery for Compressive Spectrum Sensing: A Machine Learning Approach. - Mahmoud Nazzal; Ali Riza Ekti; Ali Görçin; Hüseyin Arslan (IEEE Access, 2019)

Deep Learning-Assisted Detection of PUE and Jamming Attacks in Cognitive Radio Systems. - Mehmet Ali Aygül; Haji M. Furqan; Mahmoud Nazzal; Hüseyin Arslan (VTC Fall, 2020)

Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations Through 2D-LSTM. - Mehmet Ali Aygül; Mahmoud Nazzal; Ali Riza Ekti; Ali Görçin; Daniel Benevides da Costa; Hasan Fehmi Ates; Hüseyin Arslan (VTC Spring, 2020)

Primary user emulation and jamming attack detection in cognitive radio via sparse coding. - Haji M. Furqan; Mehmet Ali Aygül; Mahmoud Nazzal; Hüseyin Arslan (EURASIP J. Wirel. Commun. Netw., 2020)

Sparse Coding with Enhanced Atom Selection for FDD Massive MIMO Channel Estimation. - Mahmoud Nazzal; Mehmet Ali Aygül; Hüseyin Arslan (VTC Fall, 2021)

Deep Learning-Based Optimal RIS Interaction Exploiting Previously Sampled Channel Correlations. - Mehmet Ali Aygül; Mahmoud Nazzal; Hüseyin Arslan (WCNC, 2021)

Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions. - Izzat Alsmadi; Kashif Ahmad; Mahmoud Nazzal; Firoj Alam; Ala I. Al-Fuqaha; Abdallah Khreishah; Abdulelah Abdallah Algosaibi (CoRR, 2021)

Efficient Spectrum Occupancy Prediction Exploiting Multidimensional Correlations through Composite 2D-LSTM Models. - Mehmet Ali Aygül; Mahmoud Nazzal; Mehmet Izzet Saglam; Daniel Benevides da Costa; Hasan Fehmi Ates; Hüseyin Arslan (Sensors, 2021)

Deep RL-Based Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations. - Mehmet Ali Aygül; Mahmoud Nazzal; Hüseyin Arslan (WCNC, 2022)

Estimation and Exploitation of Multidimensional Sparsity for MIMO-OFDM Channel Estimation. - Mahmoud Nazzal; Mehmet Ali Aygül; Hüseyin Arslan (WCNC, 2022)

Adversarial Machine Learning in Text Processing: A Literature Survey. - Izzat Alsmadi; Nura Aljaafari; Mahmoud Nazzal; Shadan Alhamed; Ahmad H. Sawalmeh; Conrado P. Vizcarra; Abdallah Khreishah; Muhammad Anan; Abdulelah Abdallah Algosaibi; Mohammed Abdulaziz Al Naeem 001; Adel Aldalbahi; Abdulaziz Al-Humam (IEEE Access, 2022)

Self-Optimizing Data Offloading in Mobile Heterogeneous Radio-Optical Networks: A Deep Reinforcement Learning Approach. - Sihua Shao; Mahmoud Nazzal; Abdallah Khreishah; Moussa Ayyash (IEEE Netw., 2022)

Using OMP and SD algorithms together in mm-Wave mMIMO channel estimation. - Mehmet Ali Aygül; Mahmoud Nazzal; Hüseyin Arslan (Signal Image Video Process., 2022)

Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic Classification. - Mahmoud Nazzal; Nura Aljaafari; Ahmad H. Sawalmeh; Abdallah Khreishah; Muhammad Anan; Abdulelah Abdallah Algosaibi; Mohammed Alnaeem; Adel Aldalbahi; Abdulaziz Alhumam; Conrado P. Vizcarra; Shadan Alhamed (FMEC, 2023)

IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge. - Mehrdad Morsali; Mahmoud Nazzal; Abdallah Khreishah; Shaahin Angizi (ACM Great Lakes Symposium on VLSI, 2023)

Estimating Multi-Dimensional Sparsity Level for Spectrum Sensing. - Mehmet Ali Aygül; Mahmoud Nazzal; Hüseyin Arslan (WCNC, 2023)

Sparsifying Dictionary Learning for Beamspace Channel Representation and Estimation in Millimeter-Wave Massive MIMO. - Mehmet Ali Aygül; Mahmoud Nazzal; Hüseyin Arslan (IEEE Access, 2023)

Adversarial NLP for Social Network Applications: Attacks, Defenses, and Research Directions. - Izzat Alsmadi; Kashif Ahmad; Mahmoud Nazzal; Firoj Alam; Ala I. Al-Fuqaha; Abdallah Khreishah; Abdulelah Abdallah Algosaibi (IEEE Trans. Comput. Soc. Syst., 2023)

PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs). - Mahmoud Nazzal; Issa Khalil; Abdallah Khreishah; NhatHai Phan (CCS, 2024)

Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. - Khiem Ton; Nhi Nguyen; Mahmoud Nazzal; Abdallah Khreishah; Cristian Borcea; NhatHai Phan; Ruoming Jin; Issa Khalil; Yelong Shen (CCS, 2024)

Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. - Mahmoud Nazzal; Issa Khalil; Abdallah Khreishah; NhatHai Phan; Yao Ma 001 (SP, 2024)

Machine learning regression-based RETRO-VLP for real-time and stabilized indoor positioning. - Ali Hamdan Alenezi; Mahmoud Nazzal; Ahmed Sawalmeh; Abdallah Khreishah; Sihua Shao; Muhannad Almutiry (Clust. Comput., 2024)

A Dataset for Large Language Model-Driven AI Accelerator Generation. - Mahmoud Nazzal; Deepak Vungarala; Mehrdad Morsali; Chao Zhang; Arnob Ghosh; Abdallah Khreishah; Shaahin Angizi (CoRR, 2024)

Investigating the Factors Impacting Adversarial Attack and Defense Performances in Federated Learning. - Nura Aljaafari; Mahmoud Nazzal; Ahmad H. Sawalmeh; Abdallah Khreishah; Muhammad Anan; Abdulelah Abdallah Algosaibi; Mohammed Abdulaziz Al Naeem 001; Adel Aldalbahi; Abdulaziz Alhumam; Conrado P. Vizcarra (IEEE Trans. Engineering Management, 2024)

Deep learning adversarial attacks and defenses on license plate recognition system. - Conrado P. Vizcarra; Shadan Alhamed; Abdulelah Abdallah Algosaibi; Mohammed Alnaeem; Adel Aldalbahi; Nura Aljaafari; Ahmad Sawalmeh; Mahmoud Nazzal; Abdallah Khreishah; Abdulaziz Alhumam; Muhammad Anan (Clust. Comput., 2024)

Semi-Decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach. - Mahmoud Nazzal; Abdallah Khreishah; Joyoung Lee; Shaahin Angizi; Ala I. Al-Fuqaha; Mohsen Guizani (IEEE Trans. Veh. Technol., 2024)

SA-DS: A Dataset for Large Language Model-Driven AI Accelerator Design Generation. - Deepak Vungarala; Mahmoud Nazzal; Mehrdad Morsali; Chao Zhang; Arnob Ghosh; Abdallah Khreishah; Shaahin Angizi (ISCAS, 2025)

ViGText: Deepfake Image Detection with Vision-Language Model Explanations and Graph Neural Networks. - Ahmad Albarqawi; Mahmoud Nazzal; Issa Khalil; Abdallah Khreishah; NhatHai Phan (CoRR, 2025)