This project focuses on the generation of video facial expression given an audio signal.
Information technologies today can inform each of us about the best alternatives for shortest paths from origins to destinations, but they do not contain incentives or alternatives that manage the
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.
The major goal of the project is to understand the food habits from social media images.
This research seeks to develop motion magnification and comparison techniques for sports applications, and to develop motion magnification techniques for laparoscopic surgery.
We are exploiting big data for image and video manipulation.
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
We aim to assess the current tactics used by Qataris and other GCC nationals to express identity through the use of virtual identity technologies (e.g., social media profiles and avatars), which ar
Current shared computing platforms, from small clusters to large datacenters, suffer from low utilization, wasting billions of dollars in energy and infrastructure every year.