His current research focuses on building novel ubiquitous and mobile health sensing technologies that capture observable low-level physical signals in the form of an acoustic and electromagnetic wave from our bodies and surrounding environments and map them to relevant biological and behavioral measurements. Some of his notable accomplishments include a Google Research Scholar Award 2023, a Google Ph.D. fellowship in 2016 in mobile computing, a finalist position in Qualcomm innovation fellowship in 2015, Outstanding Teaching Award 2015 from Cornell University, one best paper award in ACM Digital Health 2016, one best paper honorable mention award in ACM Ubicomp 2015 and a distinguished paper award from ACM IMWUT in 2021.