The Wireless Networking and Systems (WINGS) Lab was established in 2001 and has conducted research across several areas of wireless networking and mobile computing, focusing on applying mathematical modeling and machine learning techniques to improve network performance. The students and faculty in the lab have contributed in various directions, including low-latency and fault-tolerant networks, wireless sensor networks, and cellular networks. Currently, the lab focuses on shared spectrum access technologies, mobile experience, RFID backscatter networks, and video streaming. Since 2020, we have also explored quantum networks. Currently studying the network stack in quantum networks.

Our Recent Papers

IEEE Transactions on Quantum Engineering

Optimized Distribution of Entanglement Graph States in Quantum Networks

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IEEE International Conference on RFID 2025

Improving Communication Performance of Passive Backscattering Tags Using Collaborative Backscatter,

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ACM/IEEE Symposium on Edge Computing 2024

OVIDA: Orchestrator for Video Analytics on Disaggregated Architecture

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ACM Transactions on Quantum Computing 2024

Optimizing Initial State of Detector Sensors in Quantum Sensor Networks

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IEEE Access

DeepAlloc: Deep Learning Approach to Spectrum Allocation in Shared Spectrum Systems

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Physical Review A (PRA) 2023

Discrete Outcome Quantum Sensor Networks

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ACM IMWUT/UbiComp 2023

RoVaR: Robust Multi-agent Tracking through Dual-layer Diversity in Visual and RF Sensor Fusion

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IEEE QCE 2023

Quantum Sensor Network Algorithms for Transmitter Localization

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