Core project
MC-CLE: Full-Posterior Wireless Localization
Candidate-wise neural likelihood estimation from sparse AoA and SNR measurements, preserving directional and multimodal uncertainty beyond point estimates.
Research Projects
Core and supporting projects spanning RF sensing, probabilistic localization, wireless digital twins, and autonomous systems.
Core project
LOCUS-DT: Digital-Twin Posterior Localization
Observation-conditioned scoring of measured multipath against ray-traced location hypotheses for site-agnostic spatial posterior inference.
Core project
MAGNETAR: Joint RF Pose Inference
Multipath-guided joint posteriors over transmitter position and heading, calibrated from simulation and evaluated on a 10-GHz robotic RF testbed.
Core project
MAPLE-RF: Localization with Partial Maps
Efficient neural posterior inference for RF source localization while a robot has explored only part of its environment.
Core project
Robotic RF Localization & Experimental Systems
A 10-GHz robotic RF testbed connecting channel sounding, mobile sensing, localization, and SLAM-based navigation experiments.
Secondary project
Wireless-Guided Indoor Navigation
Ray-tracing digital-twin priors and physics-informed reinforcement learning for zero-shot indoor navigation.
Secondary project
Multi-Band UE Coordination Under Mobility
UE-centric multi-cell multi-band handset digital twins for closed-loop array, band, and rate prediction under mobility.
Mentored emerging direction
Object-Centric RGB-D Spatial Memory
A mentored exploratory project on sparse RGB-D sensing, object memory, retrieval, and embodied spatial reasoning.