A design framework of ambient light sensing surfaces, enabling implicit activity sensing and explicit interactions in a wide range of use cases. OptoSense supports this framework through example applications ranging from object use and indoor traffic detection, to liquid sensing and multitouch input. 

IMWUT Distinguished Paper Award

I evaluated privacy issues with our contact tracing tool from personal health informatics perspectives and proposed a new visualization tool design with improved acceptability and effectiveness for community use.

President’s Undergraduate Research Awards

I used qualitative and quantitative user research techniques to design an app that helps people plan stops ahead or spontaneously during their road trips.

Pathway is a mobile app designed to help university students discover peers with similar goals, foster stronger relationships within their network, and facilitate connections between students who are on shared pathways. 

Our computational photodetectors achieve in-sensor computation and demonstrate a variety of pattern designs for human activity sensing.  

Accepted for publication in npj Flexible Electronics

Our team explored and compared the workload and preferences of Head-Worn Displays (HWD) and smartphones in tasks. Through this exploration, we aim to add to the understanding of how to improve accessibility for deaf or hard-of-hearing(DHH) individuals.

Our team built an NYC Airbnb Price model using Kaggle raw data sets to help lenders and renters with price estimations. 

I created a digital image overlay for the book Becoming using Unity game engine to explore augmented reality development and successfully deployed the app to a mobile IOS device.

I improved GT transportation systems by providing insights into ridership to collaborating company Passio GO.

I created a graphical user interface to support custom selection and viewing of 900+ data sets about annual and quarterly wages in different industries from the Bureau of Labor and Statistics databases