Wireless Indoor Navigation & SLAM
Physics-informed RL and digital-twin methods for zero-shot wireless navigation and efficient environment sensing.
Professional Summary
Ph.D. candidate at NYU Wireless working on RF sensing, wireless robotics, multimodal spatial reasoning, and reinforcement learning.
Education
Ph.D. in Electrical and Computer Engineering
2022-09-01
New York University
M.S. in Computer Engineering
2020-09-01
2022-05-31
New York University
B.E. in Electrical Engineering and Automation
2015-09-01
2019-06-30
China Agricultural University
Interests
RF sensing and ISAC inference
Multimodal spatial reasoning and embodied agents
Wireless robotics, localization, and navigation
Full-posterior RF localization for 6G decision making
Multi-band UE coordination under mobility
About
I am a Ph.D. candidate in Electrical and Computer Engineering at New York University, supervised by Prof. Sundeep Rangan in NYU Wireless. My research spans RF sensing, wireless robotics, multimodal spatial reasoning, and reinforcement learning, with recent focus on likelihood-based RF localization and full-posterior inference for 6G decision making, as well as multi-band antenna/receiver coordination under mobility. I build end-to-end systems that connect theory, simulation, and robotics experiments.
Research Themes
Likelihood-Based RF Localization
Full-posterior inference pipelines for 6G decision making and risk-aware control.
Multimodal Spatial Reasoning
Scene-graph representations and agentic inference for spatial grounding and object search.
Wireless Robotics Systems
FR3/TurtleBot4 platform for closed-loop localization and indoor navigation experiments.
Multi-Band UE Coordination
Transformer-based antenna and band coordination under mobility.
Selected Projects
Wireless systems that move from theory to real-world experiments.
Wireless Robotics Platform (FR3 / TurtleBot4)
Mobile-robot-based platform for closed-loop wireless localization and navigation experiments.
Multi-Band UE Coordination Under Mobility
Transformer-based inference for antenna and band coordination in high-mobility, multi-band UEs.
Selected Publications
Transformer-Based Rate Prediction for Multi-Band Cellular Handsets.
IEEE International Conference on Communications (ICC),
2026.
Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning.
IEEE Open Journal of the Communications Society,
2025.
Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation.
Reinforcement Learning Conference (RLC),
2025.
Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning.
2024 IEEE International Conference on Robotics and Automation (ICRA),
2024.
All Publications
Transformer-Based Rate Prediction for Multi-Band Cellular Handsets.
IEEE International Conference on Communications (ICC),
2026.
Digital Twin-Based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management.
IEEE Transactions on Intelligent Transportation Systems,
2025.
Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning.
IEEE Open Journal of the Communications Society,
2025.
Lab
I am part of NYU Wireless, a leading 6G research center at NYU Tandon. For an overview of the center’s scope, facilities, and research programs, see the NYU Wireless overview deck.
Contact
Email: hl4155@nyu.edu