Tianxing's research interests are in mobile computing and human-computer interaction (HCI). Specifically, his recent work focuses on designing novel human sensing systems using light. These projects involve interdisciplinary areas of mobile sensing, health, signal processing, and machine learning. His vision is that light can be a primary modality for fine-grained human sensing. Using small, cheap, and low-powered photodiodes around us, we can sense the light intensity change caused by the human blockage, reflection, and absorption and then infer fine-grained human behaviors and some biomarkers. His work on light-based sensing won MobiCom Best Video Award in 2015, and was selected as a Best Paper Nominee at SenSys 2017, SIGMOBILE Research Highlights in 2016 and 2018, and CACM Research Highlights in 2018. He has also received MobiSys Best Demo Award in 2015, VLCS Best Paper Award in 2014, and UbiComp Best Paper Nominee Award in 2014.
Ph.D. in Computer Science, Dartmouth College
MS in Computer Science, Dartmouth College