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
BU-led Research Team Wins Competitive $7.5 million MURI Grant to Create Neuro-Autonomous Robots
By Maureen Stanton, CISE Dream Team of Engineers, Computer Scientists, and Neuroscientists from BU, MIT, and Australia to develop neuro-inspired capabilities for Land, Sea, and Air-based Autonomous Robots A Boston University-led research team was selected to receive a $7.5 million Multidisciplinary University Research Initiative (MURI) grant from the U.S. Department of Defense (DoD). With this […]
Can Technology Eliminate Blind Spots?
New digital-camera-based system shows it’s possible to “see” around corners What if your car possessed technology that warned you not only about objects in clear view of your vehicle—the way that cameras, radar, and laser can do now in many standard and autonomous vehicles—but also warned you about objects hidden by obstructions. Maybe it’s something […]
New papers by CISE Faculty & Students Featured in Proceedings of the IEEE Special Issue on Smart Cities
Recent UN projections show explosive growth in the urban population, doubling worldwide by 2050. It is clear that cities are on the cusp of disruptive changes. From smart phones and wearable technologies to self-driving cars, navigation apps, and drones, new smart devices that connect people, places and things are being invented every day, radically changing […]
New Study Offers Hope for Urban Commuters
A new paper by faculty and student researchers from BU Center for Information & Systems Engineering could dramatically ease commuter frustration. Frustration. Rage. Anxiety. These are just some of the adjectives people use to describe their emotional state when driving the streets of Boston, the sixth-most-gridlock-plagued urban area in the country, according to a WBUR survey. Boston is not alone in […]
CICI: RSARC: Trustworthy Computing over Protected Datasets
Scientists are often stymied in their research due to the inaccessibility of relevant data. Additionally, many data owners silo data away from powerful, economical cloud computing resources due to privacy and confidentiality concerns. This project enables data scientists to compute statistics over protected datasets while simultaneously empowering the owners of the underlying datasets to maintain […]
Smart and Connected Communities Workshop: Visioning for Effective Community/University/Industry Collaboration Models
Cities and communities face growing challenges as population size and demographics change, infrastructure ages, and economic and environmental pressures increase. Collaborations among cities and communities, universities, and industry have the potential to address these challenges — providing opportunities for information and communication technology innovations, research capacity building, and workforce growth. This project includes a two-part […]
SaTC: TTP: Small: Modular Platform for Web-based Secure Multi-Party Analytics
This project designs, develops, and applies a modular infrastructure for building web-based applications that allow individuals and organizations to benefit from privacy-preserving data aggregation and analysis in contexts where data sharing is encumbered by confidentiality concerns, legal restrictions, or corporate policies. Today, individuals and organizations face a tension between the explosion of valuable data that […]
NSF, CISE Look to the Future of Smart Healthcare at Campus Workshop
By Sara Cody As the National Science Foundation looks to the future of science in smart and connected health, the agency partnered with the Center for Information and Systems Engineering to convene a gathering of principal investigators and other research leaders on the BU campus this month. The interdisciplinary researchers discussed their progress and identified […]
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 […]