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
TWC: TTP Option: Frontier: Collaborative: MACS: A Modular Approach to Cloud Security
The goal of the Modular Approach to Cloud Security (MACS) project is to develop methods for building information systems with meaningful multi-layered security guarantees. The modular approach of MACS focuses on systems that are built from smaller and separable functional components, where the security of each component is asserted individually, and where the security of […]
Interdisciplinary Team Sheds Light on How Proteins Bind
Finding Could Open Up New Drug Discovery Opportunities Over the past six years, an interdisciplinary team of College of Engineering faculty members—Professor Sandor Vajda (BME, SE), Research Assistant Professor Dima Kozakov (BME), Professor Yannis Paschalidis (ECE, SE) and Associate Professor Pirooz Vakili (ME, SE)—have been developing a set of powerful optimization algorithms for predicting the structures of complexes that form when […]
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 […]