activity
20242026
collaborators

11 papers

cs.IT2026

Low-complexity tuning of pinching-antenna systems for integrated sensing and communication

Saba Asaad, Chongjun Ouyang, Zhiguo Ding +1

Pinching antenna systems (PASSs) can dynamically adapt their transmit and receive arrays for sensing and communication in wireless systems. This work explores the potential of PASS…

cs.IT2026

Multi-objective Optimization for Over-the-Air Federated Edge Learning-enabled Collaborative Integrated Sensing and Communications

Saba Asaad, Hina Tabassum, Ping Wang

This paper introduces a novel multi-objective integrated sensing and communications (ISAC) framework to enable collaborative wireless sensing in conjunction with over-the-air feder…

cs.LG2026

Regime-aware financial volatility forecasting via in-context learning

Saba Asaad, Shayan Mohajer Hamidi, Ali Bereyhi

This work introduces a regime-aware in-context learning framework that leverages large language models (LLMs) for financial volatility forecasting under nonstationary market condit…

cs.IT2026

Pinching Antennas-Assisted Low-Latency Federated Learning Over Multi-User Wireless Networks

Saba Asaad, Hina Tabassum, Ping Wang

Federated learning (FL) over wireless networks is fundamentally constrained by unreliable communication links, particularly when uplink channels suffer from blockage, fading, or we…

cs.IT2026

Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems

Saba Asaad, Ali Bereyhi

Pinching antennas systems (PASSs) have recently been proposed as a novel flexible-antenna technology. These systems are implemented by attaching low-cost pinching elements to diele…

eess.SP2026

Dynamic and Static Energy Efficient Design of Pinching Antenna Systems

Saba Asaad, Chongjun Ouyang, Ali Bereyhi +1

We study the energy efficiency of pinching-antenna systems (PASSs) by developing a consistent formulation for power distribution in these systems. The per-antenna power distributio…