2 citations · 5 across the 9 of their papers we have counts for
9 papers
A Multi-Modal Foundational Model for Wireless Communication and Sensing
Vahid Yazdnian, Yasaman Ghasempour
Artificial intelligence is a key enabler for next-generation wireless communication and sensing. Yet, today's learning-based wireless techniques do not generalize well: most models…
Protecting Human Activity Signatures in Compressed IEEE 802.11 CSI Feedback
Mohamed Seif, Atsutse Kludze, Yasaman Ghasempour +3
Explicit channel state information (CSI) feedback in IEEE~802.11 conveys \emph{transmit beamforming directions} by reporting quantized Givens rotation and phase angles that paramet…
OmniVLA: Physically-Grounded Multimodal VLA with Unified Multi-Sensor Perception for Robotic Manipulation
Heyu Guo, Shanmu Wang, Ruichun Ma +5
Vision-language-action (VLA) models have shown strong generalization for robotic action prediction through large-scale vision-language pretraining. However, most existing models re…
Leaky Wave Antennas for Next Generation Wireless Applications in sub-THz Frequencies: Current Status and Research Challenges
Natalie Lang, Atsutse K. Kludze, Nir Shlezinger +4
The ever-growing demand for ultra-high data rates, massive connectivity, and joint communication-sensing capabilities in future wireless networks is driving research into sub-terah…
Fast Vortex Beam Alignment for OAM Mode Multiplexing in LOS MIMO Networks
Poorya Mollahosseini, Yasaman Ghasempour
Orbital Angular Momentum (OAM)-based communication systems offer high-capacity multiplexing in line-of-sight (LOS) scenarios; yet, their performance is sensitive to nodal misalignm…
mmKey: Channel-Aware Beam Shaping for Reliable Key Generation in mmWave Wireless Networks
Poorya Mollahosseini, Yasaman Ghasempour
Physical-layer key generation (PLKG) has emerged as a promising technique to secure next-generation wireless networks by exploiting the inherent properties of the wireless channel.…