Paper 1: Large-Scale Rate-Splitting Multiple Access in Uplink UAV Networks: Effective Secrecy Throughput Maximization Under Limited Feedback Channel

Paper 2: Secure SWIPT in STAR-RIS Aided Downlink MISO Rate-Splitting Multiple Access Networks

Paper 3: Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks 

Paper 4: Secrecy Rate of the Cooperative RSMA-Aided UAV Downlink Relying on Optimal Relay Selection.

Paper 5: Maximizing the Secrecy Energy Efficiency of the Cooperative Rate-Splitting Aided Downlink in Multi-Carrier UAV Networks

Paper 6: On the Physical Layer Security of the Cooperative Rate-Splitting-Aided Downlink in UAV Networks

Paper 7: Outage-Constrained Robust and Secure Design for Downlink Rate-Splitting UAV Networks

Paper 8: Secrecy rate maximization for hardware impaired untrusted relaying network with deep learning

Paper 9: Secure mm-Wave communications with imperfect hardware and uncertain eavesdropper location

Paper 10: Cooperative Secure Transmission Relying on Optimal Power Allocation in the Presence of Untrusted Relays, A Passive Eavesdropper and Hardware Impairments

Paper 11: Optimal Power Allocation by Imperfect Hardware Analysis in Untrusted Relaying Networks

Paper 12: Joint optimal power allocation, cooperative beamforming, and jammer selection design to secure untrusted relaying network

Paper 13: EE-RS and PA for untrusted relay network at high signal-to-noise ratio regime

Paper 14: Adversarial Attacks on Resource Management in P2P Wireless Communications (Accepted at IEEE WISEE Conference 2023) 

Project 1: Implementation of Deep Learning Radio Signal Classifiers with Over-the-Air Adversarial Attacks Resiliency

Proposal 1: NSF-SaTC: Secure and Energy Efficient Multiple Access Communications via Resilient Physical-Layer Design.

Proposal  2:  NSF-SWIFT: LSTM-Based Deep Reinforcement Learning (DRL) Design for Secure and Fast Spectrum Sharing.

Proposal 3: AFRL Proposal: Protecting DNN-Based Radio Signal Classifiers via Generative Adversarial Network (GAN).

Paper 1: Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks 

Paper 2: Secrecy rate maximization for hardware impaired untrusted relaying network with deep learning

Paper 3: Hybrid Precoding Based on Active Learning for mmWave Massive MIMO Communication Systems 

Paper 4: Adversarial Attacks on Resource Management in P2P Wireless Communications (Accepted at IEEE WISEE Conference 2023) 

Paper 5: Adversarial Attacks on Graph Neural Networks-based Spatial Resource Management in P2P Wireless Communications (Submitted to IEEE Transactions on Vehicular Technology: Under the Second Round of Review)

Paper 6: Hybrid Deep Reinforcement Learning Approach to Secure Beyond Diagonal RIS-Aided Communications (Submitted to IEEE Transactions on Wireless Communications)

Project 1: Implementation of Deep Learning Radio Signal Classifiers with Over-the-Air Adversarial Attacks Resiliency

Proposal 1: NSF: Meta Intelligent Radio Facility

Proposal 2: NSF: Exploratory Development Meta Intelligent Radio

Proposal 3: NSF: SWIFT: Intelligent Methods for Aviation Industry Resilience to Spectral Interference

Proposal 4: AFRL Proposal: Protecting DNN-Based Radio Signal Classifiers via Generative Adversarial Network (GAN)

Proposal 5: NSF-SaTC: Secure and Energy Efficient Multiple Access Communications via Resilient Physical-Layer Design.

Proposal 6:  NSF-SWIFT: LSTM-Based Deep Reinforcement Learning (DRL) Design for Secure and Fast Spectrum Sharing

Paper 1: Large-Scale Rate-Splitting Multiple Access in Uplink UAV Networks: Effective Secrecy Throughput Maximization Under Limited Feedback Channel

Paper 2: Secrecy Rate of the Cooperative RSMA-Aided UAV Downlink Relying on Optimal Relay Selection.

Paper 3: Secure SWIPT in STAR-RIS Aided Downlink MISO Rate-Splitting Multiple Access Networks

Paper 4: Maximizing the Secrecy Energy Efficiency of the Cooperative Rate-Splitting Aided Downlink in Multi-Carrier UAV Networks

Paper 5: On the Physical Layer Security of the Cooperative Rate-Splitting-Aided Downlink in UAV Networks

Paper 6: Outage-Constrained Robust and Secure Design for Downlink Rate-Splitting UAV Networks

Paper 1: Large-Scale Rate-Splitting Multiple Access in Uplink UAV Networks: Effective Secrecy Throughput Maximization Under Limited Feedback Channel

Paper 2: Secrecy Rate of the Cooperative RSMA-Aided UAV Downlink Relying on Optimal Relay Selection.

Paper 3: Maximizing the Secrecy Energy Efficiency of the Cooperative Rate-Splitting Aided Downlink in Multi-Carrier UAV Networks

Paper 4: On the Physical Layer Security of the Cooperative Rate-Splitting-Aided Downlink in UAV Networks

Paper 5: Outage-Constrained Robust and Secure Design for Downlink Rate-Splitting UAV Networks

Paper 1: Hybrid Precoding Based on Active Learning for mmWave Massive MIMO Communication Systems 

Paper 2: Secure mm-Wave communications with imperfect hardware and uncertain eavesdropper location

Paper 3: Low-rank/Sparse Channel Matrix Decomposition-Aided Sum-Rate Maximization in mmWave Communication Relying on Imperfect CSI  (Submitted to IEEE Wireless Communications Letter)

Paper 1: Stackelberg Game on Space and Frequency Heterogeneity Analysis in an OFDMA-Based Cognitive Spectrum Leasing

Proposal 1:  NSF: Meta Intelligent Radio

Proposal 2: NSF: Exploratory development of Meta Intelligent Radio

Proposal 3: NSF: SWIFT: Intelligent Methods for Aviation Industry Resilience to Spectral Interference

Paper 1: Secure SWIPT in STAR-RIS Aided Downlink MISO Rate-Splitting Multiple Access Networks

Paper 2: Hybrid Deep Reinforcement Learning Approach to Secure Beyond Diagonal RIS-Aided Communications. (Under Final Preparation)

Talk 1: An Introduction to Digital Twins for Meta-Surface Empowered Wireless Networks

Proposal 1:  NSF: Meta Intelligent Radio

Proposal 2: NSF: Exploratory development of Meta Intelligent Radio