Mahmoud Nazzal

54 papers A* 3B 7C 1Journal 27Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design. CoRR Mahmoud Nazzal, Khoa Nguyen, Deepak Vungarala, Ramtin Zand, Shaahin Angizi, NhatHai Phan, Abdallah Khreishah
2025	C	`conf`	SA-DS: A Dataset for Large Language Model-Driven AI Accelerator Design Generation. ISCAS Deepak Vungarala, Mahmoud Nazzal, Mehrdad Morsali, Chao Zhang, Arnob Ghosh, Abdallah Khreishah, Shaahin Angizi
2025	J	`jnl`	STING: A Stealthy Backdoor Attack on GNN-Based Malicious Domain Detection via DNS Perturbations. IEEE Open J. Commun. Soc. Muhammad Anan, Mahmoud Nazzal, Abdallah Khreishah, Issa Khalil, NhatHai Phan, Ahmad Sawalmeh
2025	J	`jnl`	ViGText: Deepfake Image Detection with Vision-Language Model Explanations and Graph Neural Networks. CoRR Ahmad Albarqawi, Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan
2024	J	`jnl`	A Dataset for Large Language Model-Driven AI Accelerator Generation. CoRR Mahmoud Nazzal, Deepak Vungarala, Mehrdad Morsali, Chao Zhang, Arnob Ghosh, Abdallah Khreishah, Shaahin Angizi
2024	J	`jnl`	Deep learning adversarial attacks and defenses on license plate recognition system. Clust. Comput. Conrado P. Vizcarra, Shadan Alhamed, Abdulelah Abdallah Algosaibi, Mohammed Alnaeem, Adel Aldalbahi, Nura Aljaafari, Ahmad Sawalmeh, Mahmoud Nazzal, Abdallah Khreishah, Abdulaziz Alhumam, Muhammad Anan
2024	A*	`conf`	Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. CCS Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen
2024	J	`jnl`	Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. CoRR Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen
2024	J	`jnl`	Investigating the Factors Impacting Adversarial Attack and Defense Performances in Federated Learning. IEEE Trans. Engineering Management Nura Aljaafari, Mahmoud Nazzal, Ahmad H. Sawalmeh, Abdallah Khreishah, Muhammad Anan, Abdulelah Abdallah Algosaibi, Mohammed Abdulaziz Al Naeem, Adel Aldalbahi, Abdulaziz Alhumam, Conrado P. Vizcarra
2024	J	`jnl`	Machine learning regression-based RETRO-VLP for real-time and stabilized indoor positioning. Clust. Comput. Ali Hamdan Alenezi, Mahmoud Nazzal, Ahmed Sawalmeh, Abdallah Khreishah, Sihua Shao, Muhannad Almutiry
2024	A*	`conf`	Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. SP Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma
2024	A*	`conf`	PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs). CCS Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan
2024	J	`jnl`	PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs). CoRR Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan
2024	J	`jnl`	Semi-Decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach. IEEE Trans. Veh. Technol. Mahmoud Nazzal, Abdallah Khreishah, Joyoung Lee, Shaahin Angizi, Ala I. Al-Fuqaha, Mohsen Guizani
2023	J	`jnl`	Adversarial NLP for Social Network Applications: Attacks, Defenses, and Research Directions. IEEE Trans. Comput. Soc. Syst. Izzat Alsmadi, Kashif Ahmad, Mahmoud Nazzal, Firoj Alam, Ala I. Al-Fuqaha, Abdallah Khreishah, Abdulelah Abdallah Algosaibi
2023	B	`conf`	Estimating Multi-Dimensional Sparsity Level for Spectrum Sensing. WCNC Mehmet Ali Aygül, Mahmoud Nazzal, Hüseyin Arslan
2023	—	`conf`	Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic Classification. FMEC 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
2023	J	`jnl`	Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic Classification. CoRR Mahmoud Nazzal, Nura Aljaafari, Ahmad Sawalmeh, Abdallah Khreishah, Muhammad Anan, Abdulelah Abdallah Algosaibi, Mohammed Alnaeem, Adel Aldalbahi, Abdulaziz Alhumam, Conrado P. Vizcarra, Shadan Alhamed
2023	—	`conf`	IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge. ACM Great Lakes Symposium on VLSI Mehrdad Morsali, Mahmoud Nazzal, Abdallah Khreishah, Shaahin Angizi
2023	J	`jnl`	IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge. CoRR Mehrdad Morsali, Mahmoud Nazzal, Abdallah Khreishah, Shaahin Angizi
2023	J	`jnl`	Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. CoRR Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma
2023	J	`jnl`	Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach. CoRR Mahmoud Nazzal, Abdallah Khreishah, Joyoung Lee, Shaahin Angizi, Ala I. Al-Fuqaha, Mohsen Guizani
2023	J	`jnl`	Sparsifying Dictionary Learning for Beamspace Channel Representation and Estimation in Millimeter-Wave Massive MIMO. IEEE Access Mehmet Ali Aygül, Mahmoud Nazzal, Hüseyin Arslan
2022	J	`jnl`	Adversarial Machine Learning in Text Processing: A Literature Survey. IEEE Access 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, Adel Aldalbahi, Abdulaziz Al-Humam
2022	B	`conf`	Deep RL-Based Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations. WCNC Mehmet Ali Aygül, Mahmoud Nazzal, Hüseyin Arslan
2022	B	`conf`	Estimation and Exploitation of Multidimensional Sparsity for MIMO-OFDM Channel Estimation. WCNC Mahmoud Nazzal, Mehmet Ali Aygül, Hüseyin Arslan
2022	J	`jnl`	Self-Optimizing Data Offloading in Mobile Heterogeneous Radio-Optical Networks: A Deep Reinforcement Learning Approach. IEEE Netw. Sihua Shao, Mahmoud Nazzal, Abdallah Khreishah, Moussa Ayyash
2022	J	`jnl`	Using OMP and SD algorithms together in mm-Wave mMIMO channel estimation. Signal Image Video Process. Mehmet Ali Aygül, Mahmoud Nazzal, Hüseyin Arslan
2021	J	`jnl`	Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions. CoRR Izzat Alsmadi, Kashif Ahmad, Mahmoud Nazzal, Firoj Alam, Ala I. Al-Fuqaha, Abdallah Khreishah, Abdulelah Abdallah Algosaibi
2021	B	`conf`	Deep Learning-Based Optimal RIS Interaction Exploiting Previously Sampled Channel Correlations. WCNC Mehmet Ali Aygül, Mahmoud Nazzal, Hüseyin Arslan
2021	J	`jnl`	Efficient Spectrum Occupancy Prediction Exploiting Multidimensional Correlations through Composite 2D-LSTM Models. Sensors Mehmet Ali Aygül, Mahmoud Nazzal, Mehmet Izzet Saglam, Daniel Benevides da Costa, Hasan Fehmi Ates, Hüseyin Arslan
2021	—	`conf`	Sparse Coding with Enhanced Atom Selection for FDD Massive MIMO Channel Estimation. VTC Fall Mahmoud Nazzal, Mehmet Ali Aygül, Hüseyin Arslan
2020	—	`conf`	Deep Learning-Assisted Detection of PUE and Jamming Attacks in Cognitive Radio Systems. VTC Fall Mehmet Ali Aygül, Haji M. Furqan, Mahmoud Nazzal, Hüseyin Arslan
2020	J	`jnl`	Primary user emulation and jamming attack detection in cognitive radio via sparse coding. EURASIP J. Wirel. Commun. Netw. Haji M. Furqan, Mehmet Ali Aygül, Mahmoud Nazzal, Hüseyin Arslan
2020	—	`conf`	Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations Through 2D-LSTM. VTC Spring Mehmet Ali Aygül, Mahmoud Nazzal, Ali Riza Ekti, Ali Görçin, Daniel Benevides da Costa, Hasan Fehmi Ates, Hüseyin Arslan
2019	B	`conf`	Compressed Spectrum Sensing Using Sparse Recovery Convergence Patterns through Machine Learning Classification. PIMRC Mahmoud Nazzal, Orkun Hasekioglu, Ali Riza Ekti, Ali Görçin, Hüseyin Arslan
2019	B	`conf`	Dictionary Learning-Based Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems with a Lens Antenna Array. IWCMC Mahmoud Nazzal, Mehmet Ali Aygül, Ali Görçin, Hüseyin Arslan
2019	J	`jnl`	Exploiting Sparsity Recovery for Compressive Spectrum Sensing: A Machine Learning Approach. IEEE Access Mahmoud Nazzal, Ali Riza Ekti, Ali Görçin, Hüseyin Arslan
2019	—	`conf`	Sparse Coding for Transform Domain-Based Sparse OFDM Channel Estimation. SIU Mahmoud Nazzal, Mehmet Ali Aygül, Ali Görçin, Hüseyin Arslan
2018	B	`conf`	FDD Massive MIMO Downlink Channel Estimation via Selective Sparse Coding over AoA/AoD Cluster Dictionaries. PIMRC Mahmoud Nazzal, Haji Muhammad Furqan, Hüseyin Arslan
2016	J	`jnl`	Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness. Signal Image Video Process. Faezeh Yeganli, Mahmoud Nazzal, Murat Unal, Hüseyin Özkaramanli
2016	—	`conf`	Improved dictionary learning by constrained re-training over residual components. SIU Mahmoud Nazzal, Faezeh Yeganli, Hüseyin Özkaramanli
2016	—	`conf`	Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation. SIU Faezeh Yeganli, Mahmoud Nazzal, Hüseyin Özkaramanli
2015	J	`jnl`	A Strategy for Residual Component-Based Multiple Structured Dictionary Learning. IEEE Signal Process. Lett. Mahmoud Nazzal, Faezeh Yeganli, Hüseyin Özkaramanli
2015	—	`conf`	Directionally-structured dictionary learning and sparse representation based on subspace projections. SIU Mahmoud Nazzal, Hüseyin Özkaramanli
2015	J	`jnl`	Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness and gradient phase angle. Signal Image Video Process. Faezeh Yeganli, Mahmoud Nazzal, Hüseyin Özkaramanli
2015	—	`conf`	Selective super-resolution via sparse representations of sharp image patches using multiple dictionaries and bicubic interpolation. SIU Faezeh Yeganli, Mahmoud Nazzal, Hüseyin Özkaramanli
2015	J	`jnl`	Wavelet domain dictionary learning-based single image superresolution. Signal Image Video Process. Mahmoud Nazzal, Hüseyin Özkaramanli
2014	—	`conf`	Image Super-Resolution via Sparse Representation over Coupled Dictionary Learning Based on Patch Sharpness. EMS Faezeh Yeganli, Mahmoud Nazzal, Murat Unal, Hüseyin Özkaramanli
2014	—	`conf`	Single Image Super-Resolution via Sparse Representation over Directionally Structured Dictionaries Based on the Patch Gradient Phase Angle. EMS Mahmoud Nazzal, Faezeh Yeganli, Hüseyin Özkaramanli
2014	—	`conf`	Single image super resolution based on sparse representation via directionally structured dictionaries. SIU Fahime Farhadifard, Elham Abar, Mahmoud Nazzal, Huseyin Ozkaramanh
2014	—	`conf`	Variable patch size sparse representation over learned dictionaries. SIU Mahmoud Nazzal, Hüseyin Özkaramanli
2013	—	`conf`	Improved single image super-resolution using sparsity and structured dictionary learning in wavelet domain. SIU Mahmoud Nazzal, Hüseyin Özkaramanli
2012	—	`conf`	Single image superresolution using sparsity and dictionary learning in wavelet domain. SIU Mahmoud Nazzal, Hüseyin Özkaramanli