Information Sciences
Information Sciences involves collecting, storing, retrieving, and analyzing the flow of information to improve efficiency. Research areas include: Computation over networks, human/animal decision making and perception, information theory, inverse problems, machine learning, medical imaging, signal and image processing, synthetic aperture radar imagery, video analytics, anomaly detection
EAGER: Holistic Security for Cloud Computing: Verifiable Computation
A basic security concern inherent to outsourced computating services is guaranteeing the integrity of the information received from the cloud. The concern relates both to outsourced data storage and to the results of outsourced computations. There are several aspects to this problem like ensuring software correctness, protecting against intentional deviation and shortcuts, maintaining data provenance, […]
CIF: Small: Collaborative Research: A Unifying Approach for Identification of Sparse Interactions in Large Datasets
More than 2.5 quintillion bytes of data are created daily in the form of sensor measurements, web posts and clicks, surveillance videos, purchase transactions, and health-care records. However, not all data collected is informative and not all features are relevant to the outcomes of interest. While several researchers have focused attention on compressive sampling for […]
CAREER: Harnessing Interference Structure in Networks
Wireless networks are the fabric of the mobile Internet. High-speed, ubiquitous wireless access is increasingly an enabling technology for important applications ranging from communication to commerce, medicine, and education. It is thus critical to create a pathway for sustainable wireless network growth in terms of the number of users and their data rates. A major […]