This project falls into three categories: 1) the use of machine learning and other advanced analytical techniques to discover new information related to on-field performance, and 2) the developme
This project focuses on how data management can be used to facilitate social computing.
The research challenge we address is that of securing computing infrastructure against a broad class of cyberattacks.
We propose a new study type to understand the basis of complex genetic traits, a functional genome-wide association study (fGWAS). Most current experimental designs, relying solely on linear model
Research Objectives and Milestones Summary
Problem: How is memory implemented in the human brain?
The goal of the project is to design a high-throughput and low-power FPGA implementation of the newly proposed sparse FFT algorithm. For the purposes of guiding the implementation
MAQSA is a system for social analytics on news. MAQSA provides an interactive topic-centric dashboard that summarizes news articles and social activity (e.g., comments and tweets) around them.
This research seeks to develop motion magnification and comparison techniques for sports applications, and to develop motion magnification techniques for laparoscopic surgery.
Our objective is to answer the question: How can users get the full benefits of multi-user software even when their friends and colleagues use different software vendors, platforms, and service pro