I am a Postdoctoral Scholar in the Department of Electrical Engineering and Computer Sciences at University of California, Berkeley, mentored by Prof. Costas Spanos. I received my Ph.D. in Electrical and Electronic Engineering from Nanyang Technological University in 2017 advised by Prof. Lihua Xie and Prof. Alexandre Bayen. My research focuses on machine learning, deep learning, transfer learning, RF sensing, mobile and ubiquitous computing, and multimodal sensor fusion with applications in location intelligence, human activity recognition, location-based and context-aware service, smart buildings, and Internet of Things (IoT).Demos on YouTube » Indoor Localization Live Demo at UCB »
Location-based Services Indoor Localization WiFi
We designed WinIPS, a novel non-intrusive (no App installation) WiFi-based indoor positioning system (IPS) with a user-friendly web interface for reliable indoor navigation and real-time occupancy sensing. WinIPS has been deployed and implemented in 11 distinct indoor environments with 95000 ft2 in U.S.A., Singapore, Taiwan and Germany.
Location-based Services Indoor Localization Smart Home
We developed an occupancy-driven lighting control system, WinLight, that is able to turn on/off lights automatically based on the real-time location of the customer estimated by our WiFi-based IPS. Moreover, it adjusts the brightness level of each lamp according to customer's luminance preferences to realize personalized lighting comfort in smart home.
Location-based Services WiFi iBeacon
We developed a framework by integrating GPS (outdoor), iBeacon (semi-outdoor) and WiFi (indoor) for accurate and energy efficient indoor-outdoor detection with fast-response, and seamless navigation in all environments.
Location-based Services Indoor Localization Wearable Device
We integrated our WiFi-based IPS to realize seamless indoor positioning and navigation services for customers with optimal path guidance on wearable devices such as Google Glass.
Technical Program Committee