Research Areas

Our research focuses on Spiking Neural Networks (SNNs), AI-inspired wireless communications and networks, Wireless communications and networks and Autonomous driving.

Spiking Neural Networks (SNNs): SNNs are third-generation neural networks, allowing energy-efficient operations for Artificial Intelligence (AI). We study the core primitives for SNNs, such as neuron models, learning rules, and neural encoding/decoding.

AI-inspired wireless communications and networks: We’ve pioneered the integration of neural networks into wireless communication protocols for developing intelligent communication systems.

Wireless communications and networks: We design signal processing techniques and communication protocols for ultra-low-power Wi-Fi backscatter, radar spectrum sharing and interference mitigation, and efficient broadcasting in wireless and vehicular networks, enhancing throughput, reliability, and energy efficiency.

Autonomous driving: We focus on enabling robust, precise, and real-time trajectory prediction for self-driving vehicles, enhancing both safety and practicality of intelligent vehicle systems.

Spiking Neural Networks (SNNs)

Wireless communication and machine learning

Wireless signal processing and networking

Autonomous driving