collaborators

10 papers

eess.SP2026

Temperature-aware Optimization of Liquid Crystal Reconfigurable Intelligent Surfaces: Physics-based Modeling and Robust Design

Mohamadreza Delbari, Bowu Wang, Arash Asadi +1

While LC technology facilitates the realization of energy-efficient and scalable RISs, their phase shift response is inherently temperature-dependent. Neglecting this thermal depen…

eess.SP2026

Same Signal, Different Story: Demystifying Receiver Effects in Wi-Fi Channel State Information

Fabian Portner, Francesco Gringoli, Matthias Hollick +1

Wi-Fi sensing has emerged as a versatile tool for tasks such as localization, gesture recognition, and vital-sign monitoring, enabling applications from smart environments to perso…

eess.SP2026

Fast Reconfiguration of Liquid Crystal-RISs: Modeling and Algorithm Design

Mohamadreza Delbari, Robin Neuder, Alejandro Jiménez-Sáez +2

LC technology is a promising hardware solution for realizing extremely large RISs due to its advantages in cost-effectiveness, scalability, energy efficiency, and continuous phase…

eess.SP2026

Fast-Reconfiguring Liquid-Crystal RIS for Pervasive Wireless Networks

Luis F. Abanto-Leon, Robin Neuder, Waqar Ahmed +3

Reconfigurable intelligent surfaces (RISs) have emerged as a key technology for dynamically reshaping wireless propagation, enhancing coverage and mitigating blockages to enable mo…

eess.SP2026

Flexible RISs: Learning-based Array Manifold Estimation and Phase-shift Optimization

Mohamadreza Delbari, Ehsan Mohammadi, Mostafa Darabi +3

Reconfigurable intelligent surfaces (RISs) are envisioned as a key enabler for next-generation wireless networks, offering programmable control over propagation environments. While…

eess.SP2026

Transparent and Resilient Activity Recognition via Attention-Based Distributed Radar Sensing

Mina Shahbazifar, Zolfa Zeinalpour-Yazdi, Matthias Hollick +2

Distributed radar sensors enable robust human activity recognition. However, scaling the number of coordinated nodes introduces challenges in feature extraction from large datasets…