DMS Colloquium: Dr. Xuyu Wang

Speaker: Dr. Xuyu Wang (Assistant Professor at California State University, Sacramento)

Title: Artificial Intelligence of Things for Robust Wireless Sensing Systems 

Abstract: With the development of Internet of Things (IoT) and wireless techniques, several wireless signals (e.g., Wi-Fi, RFID, Acoustic, Radar, and LoRa) can be exploited for wireless sensing applications. Artificial Intelligence of Things (AIoT) is an integrative technology, which could leverage artificial intelligence (e.g., deep learning) to develop data-driven IoT applications. To address some fundamental challenges (e.g., black-box model, limited labeled data, different data domains) in deep learning-driven wireless sensing systems, in this talk, I will mainly discuss three robust wireless sensing systems (i.e., deep Gaussian processes for indoor localization, recurrent variational autoencoder for human health monitoring, and meta-learning for human pose estimation) using different wireless IoT devices. 

Faculty host: Guanqun Cao