collaborators

6 papers

eess.SY2026

LiDAR-Derived Surface Priors for Multimodal Sensing-Assisted NLoS Beam Search in Indoor 60-GHz Networks

Amod Ashtekar, Dalton Davis, Rafaela Lomboy +3

Highly directional 60-GHz Internet-of-Things (IoT) links can exploit naturally occurring indoor surfaces to sustain connectivity under blockage. Identifying viable non-line-of-sigh…

eess.SY2026

Passive Beam Shaping via Binary-Coded Apertures

Mohammed E Eltayeb

This paper presents a coded-aperture reflector for indoor mmWave coverage enhancement in obstructed or blocked LoS settings. We model the reflecting aperture using an equivalent ar…

cs.NI2026

Refined Bayesian Optimization for Efficient Beam Alignment in Intelligent Indoor Wireless Environments

Parth Ashokbhai Shiroya, Amod Ashtekar, Swarnagowri Shashidhar +1

Future intelligent indoor wireless environments require fast and reliable beam alignment to sustain high-throughput links under mobility and blockage. Exhaustive beam training achi…

cs.NI2025

See and Beam: Leveraging LiDAR Sensing and Specular Surfaces for Indoor mmWave Connectivity

Raj Sai Sohel Bandari, Amod Ashtekar, Omar Ibrahim +1

Millimeter-wave (mmWave) communication enables multi-gigabit-per-second data rates but is highly susceptible to path loss and blockage, especially indoors. Many indoor settings, ho…

cs.LG2025

Machine Learning for LiDAR-Based Indoor Surface Classification in Intelligent Wireless Environments

Parth Ashokbhai Shiroya, Swarnagowri Shashidhar, Amod Ashtekar +4

Reliable connectivity in millimeter-wave (mmWave) and sub-terahertz (sub-THz) networks depends on reflections from surrounding surfaces, as high-frequency signals are highly vulner…

cs.CV2025

Vision-Based Autonomous MM-Wave Reflector Using ArUco-Driven Angle-of-Arrival Estimation

Josue Marroquin, Nan Inzali, Miles Dillon Lantz +4

Reliable millimeter-wave (mmWave) communication in non-line-of-sight (NLoS) conditions remains a major challenge for both military and civilian operations, especially in urban or i…