Alice Faisal

My work explores how wireless systems communicate, sense and learn.

About me
Alice Faisal

Shaping the environment
Rethinking wireless

My work explores how wireless systems can sense and communicate simultaneously, addressing challenges in joint channel estimation and integration with emerging 6G technologies.

Explore ISAC

Explore the research chapter for the complete scientific exhibit.

My work investigates how to optimize RIS-assisted systems to better control the wireless environment across ISAC and full-duplex communications.

Explore RIS

Explore the research chapter for the complete scientific exhibit.

My work investigates pinching-antenna systems as a new approach to controlling wireless radiation, with applications spanning parameter estimation and ISAC.

Explore PASS

Explore the research chapter for the complete scientific exhibit.

My work explores how quantum approaches could contribute to wireless communications, with a focus on data-efficient learning and channel estimation.

Explore Quantum

Explore the research chapter for the complete scientific exhibit.

Alongside my focused research, I have also contributed to broader perspectives on emerging wireless architectures, intelligent surfaces, and learning-based methods for wireless system design.

Explore surveys

Explore the research chapter for the complete scientific exhibit.

The ideas
in print

View all publications

2026Published

Hybrid angle-parametric and denoising-based channel estimation for multi-RIS multi-target ISAC systems

npj Wireless Technology

View paper
2026 · Published
Author-manuscript first page of Hybrid angle-parametric and denoising-based channel estimation for multi-RIS multi-target ISAC systems

Hybrid angle-parametric and denoising-based channel estimation for multi-RIS multi-target ISAC systems

npj Wireless Technology

Methods

  • Angle-parametric learning
  • End-to-end denoising
View paper

2025Published

Conditional generative adversarial networks for channel estimation in RIS-assisted ISAC systems

IEEE Transactions on Communications

View paper
2025 · Published
Author-manuscript first page of Conditional generative adversarial networks for channel estimation in RIS-assisted ISAC systems

Conditional generative adversarial networks for channel estimation in RIS-assisted ISAC systems

IEEE Transactions on Communications

Methods

  • CGAN-based estimation
  • Adversarial learning
View paper

2022Published

Deep reinforcement learning for RIS-assisted FD systems: Single or distributed RIS?

IEEE Communications Letters

View paper
2022 · Published
Author-manuscript first page of Deep reinforcement learning for RIS-assisted FD systems: Single or distributed RIS?

Deep reinforcement learning for RIS-assisted FD systems: Single or distributed RIS?

IEEE Communications Letters

Research context

Methods

  • Deep reinforcement learning
  • RIS phase optimization
  • RIS deployment optimization
View paper