I am a final year Ph.D. student at UW-Madison advised by Prof. Andreas Velten and Prof. Mohit Gupta. My work is at the intersection of computer vision, signal processing, optics, and machine learning. My Ph.D. research has focused on practical modifications to direct and indirect time-of-flight 3D cameras to reduce their power consumption and data bandwidth while preserving or increasing their precision.
Ph.D. in Computer Science, present
University of Wisconsin-Madison
M.S. in Computer Science, 2018
University of Wisconsin-Madison
B.S. in Applied Math, Engineering, and Physics (AMEP), 2016
University of Wisconsin-Madison
A modular time-of-flight imaging system built from off-the-shelf optics and electronics
Content-based image retrieval with capsule networks.
Performance of ToF coding functions under global illumination
FPGA control of Quadcopter motors
Depth Inference from ToF data with Neural Networks
Stochastic model of space debris generation and reduction. Meritoriuous winner (top 8%) at Math Contest in Modeling 2016.
Distributed-memory SPH simulation with Charm++
Geo-distributed Machine Learning with the Parameter Server
GPU and multi-core implementations of permutation testing
Convert a mesh to a point cloud.
Metrics database and Web API for Project Chrono