Collaboration on Grant Proposals

1. NSF: Meta Intelligent Radio Facility

In this proposal we proposed a novel facility for Intelligent Spectrum Management and Interference Mitigation, leveraging the integration of Reconfigurable Intelligent Surfaces (RIS) with Machine Learning (ML) methodologies.

2. NSF: Exploratory Development Meta Intelligent Radio

In this proposal, we proposed a proof-of-concept prototype along with the theoretical foundations for the Meta Intelligent Radio Facility.

3. NSF-CPS: 3D-Digital Twinning of Soil Sub-Surface via Intelligent GPR

I contributed to an NSF proposal where we proposed a novel idea for subsurface digital twinning. By re-designing an intelligent ground penetrating radar (GPR) which is enabled by Machine Learning (ML) techniques, we can provide a 3D-visualization of subsurface features of interest.

4. NIH: AI-Driven Wireless Capsule Endoscopy: 3D Gastrointestinal Tract Visualization and Hybrid Data Emulation Software

The research’s ultimate goal is the creation of a 3D digital twinning of the gastrointestinal (GI) tract’s interior and exterior using machine learning (ML) techniques applied to a hybrid dataset including images and signals captured via Wireless Capsule Endoscopy (WCE).

5. NSF: SWIFT: Intelligent Methods for Aviation Industry Resilience to Spectral Interference

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

7. NRT-QISE: QA-CWINS: Quantum-Aware Complex Wireless Intelligent Networks

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

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

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