I research how light interacts with materials and surfaces, using optical techniques to study their properties for scientific and technological applications.

This project studies how light reflects inside a right-angle prism to analyze materials, using the principle of total internal reflection to measure how samples absorb and transmit light.

This research uses time-resolved imaging to identify and separate materials in a scene. 

By capturing a transient histogram—a record of when photons arrive—we can analyze how different materials reflect light over time. A 1-D convolutional neural network processes this data to classify materials with high accuracy, even when they appear similar in color or texture.