My research focuses on developing trustworthy LiDAR applications that serve human-centered needs. My research topics include computer vision, healthcare, sensors, and wireless networks. The following are selected published projects I created:
Remote Breathing Monitoring Using LiDAR Technology
The current breathing monitoring technology can be roughly categorized as either invasive methods (i.e., penetrating the skin) or wearable devices (must be worn all the time). This project investigates the first-of-its-kind 100% remote breathing monitoring using LiDAR sensors. Click here to learn more.
Human Body Parts Segmentation and Gesture Identification Using LiDAR Sensors
In advancing human activity recognition technologies, the segmentation and accurate identification of human body parts are paramount, particularly for applications in healthcare and motion analysis. Our study introduces a sophisticated LiDAR-based system capable of high-precision body part segmentation and orientation estimation. Click here to learn more.
Wireless Localization
In the ever-expanding world of wireless technology, pinpointing a device’s exact location is fraught with challenges. This project proposes a sparse-recovery localization for challenging wireless environments; this includes reconfigurable-aided near-field and multipath scenarios. Click here to learn more.
LiDAR-assisted Wireless Networks
The dynamic and stochastic behavior of wireless networks requires the use of non-traditional solutions to enhance performance. Here, we seek to assist wireless networks with LiDAR’s sensing capability to work as an eye that lets the wireless infrastructure to see the sounding environment. Click here to learn more.
