Publication

We submitted a paper on multi-functional diversity via flexible spatial partitioning for massive MIMO ISAC to IEEE TWC.

We submitted two papers to ICUAS 2026: one on semantically-informed UAV path planning for mmWave connectivity in urban environments, and one on hardware-aware SE(3) Control Barrier Functions for counter-UAS interception with directed energy payloads.

A novel time series approach is developed to accurately model and predict optical links between Low Earth Orbit (LEO) satellites.

A novel simulation framework is developed to model and evaluate Frequency Modulated Continuous Wave (FMCW) radar sensors integrated with Unmanned Aerial Vehicle (UAV) platforms.

Researchers develop an integrated sensing and communication technology to enhance safety and efficiency in advanced air mobility vehicles.

The paper improves massive MIMO channel estimation by leveraging UAV state-space information to mitigate the effects of beam squint and enhance wideband channel accuracy.

This research develops a biconvex optimization approach to estimate time-domain MIMO channel matrices under dual-wideband fading conditions, addressing beam squint and ISI effects in single-carrier point-to-point systems.

The paper presents a unified time-domain framework for estimating MIMO channel matrices in extremely large THz systems under dual-wideband fading conditions, mitigating beam squint and inter-symbol interference.

Researchers propose flexible hybrid precoding schemes to optimize joint sensing and communication performance in resource-constrained wireless systems.

A novel channel estimation protocol enables autonomous configuration of semi-passive Reconfigurable Intelligent Surfaces for receiving pilot signals in multi-antenna systems, leveraging beamspace sparsity and low-rank properties.