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

Faculty across five BU research centers will work together to prevent future pandemics

A multidisciplinary team of researchers at Boston University will work towards predicting and preventing future pandemics as part of a new $1 million project funded by the National Science Foundation (NSF). Faculty members from the Rafik B. Hariri Institute for Computing and Computational Science & Engineering, the Center for Information & Systems Engineering (CISE), the […]

PIPP Phase I: Predicting and Preventing Epidemic to Pandemic Transitions

The COVID-19 pandemic and its effects, both in terms of the millions of lives lost and the trillions in estimated costs, are a recent example of the devastation pandemics can cause. Any discernible progress in the prediction, early detection, and rapid response would have significant impacts on human welfare. The overarching goal of this project […]

Could a Computer Diagnose Alzheimer’s Disease and Dementia?

It takes a lot of time—and money—to diagnose Alzheimer’s disease. After running lengthy in-person neuropsychological exams, clinicians have to transcribe, review, and analyze every response in detail. But researchers at Boston University have developed a new tool that could automate the process and eventually allow it to move online. Their machine learning–powered computational model can […]

Collaborative Research: CPS: Medium: An Online Learning Framework for Socially Emerging Mixed Mobility

Emerging mobility systems, e.g., connected and automated vehicles and shared mobility, provide the most intriguing opportunity for enabling users to better monitor transportation network conditions and make better decisions for improving safety and transportation efficiency. However, different levels of vehicle automation in the transportation network can significantly alter transportation efficiency metrics (travel times, energy, environmental […]

Lighting the Way Forward for Autonomous Vehicles

CISE Faculty Affiliate Ajay Joshi with collaborators at Lightmatter and Harvard University receive $4.8M IARPA grant to develop a new Electro-Photonic Computing (EPiC) system for  AI-based navigation in Autonomous Vehicles Anyone who has ever been behind the wheel of a car knows that response time is crucial. The human sensory system needs to be fully engaged in order […]

Stealth Driverless Cars without Visible Light?

CISE Faculty Affiliate Professor Vivek Goyal (ECE) recently received a Defense Advanced Research Projects Agency (DARPA) subaward for his work in connection with the agency’s Invisible Headlights program. Professor Goyal is working under an award to MIT entitled, Super Headlights: Superconducting Nanowire Detectors for Passive Infrared Sensing.  The DARPA Invisible Headlights program has a very […]

The Sensor You Swallow

Thanks to the work of Assistant Professor Rabia Yazicigil (ECE) and her colleagues at MIT, Crohn’s and other bowel disease sufferers might someday skip the arduous annual endoscopy and instead swallow a pill-sized device that would literally shed light on what’s going on inside the gastrointestinal (GI) tract. MIT researchers previously developed a 1.5-inch capsule that contained […]

Gut Health Project Nets Professor Yazicigil Multi-Disciplinary Grant

CISE faculty affiliate Rabia Yazicigil (ECE) is leveraging her skill with hardware design and IoT security in a new direction, for the benefit of human health. Working in collaboration with Professor Tim Lu, of MIT’s EECS & Biological Engineering departments, Professor Yazicigil is developing a new miniaturized bio-electronic device which would make it possible to […]