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
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 […]
Mark Crovella: Mapping the Internet in a New Age of Privacy
You can’t see it, but when you enter something in the search bar, there is a whole network of connections that happens. We typically don’t think about the internet having a map, but CISE faculty affiliate Mark Crovella, a founding member and faculty of Computing & Data Sciences, likened his work to figuring out what […]
My Big Idea: Guided Tours through Virtual and Real Spaces
In our My Big Idea series, we bring you interviews with BU alums and other members of the University community who have launched a business, built a new product, or solved problems big and small. We ask them how they got the idea, what were their biggest stumbling blocks, and what’s next for their big […]
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 […]
Collaborative Research: A Workshop on Pre-emergence and the Predictions of Rare Events in Multiscale, Complex, Dynamical Systems
Although pandemics have threatened human civilization since ancient times, how to predict and prevent them remains one of the most pressing challenges, calling out for innovative insights and practices. Pandemics emerge through incidental ‘perfect storms’: molecular changes in pathogens, gradual trends in climate, subtle shifts in ecological interactions among potential hosts, and even individual behavioral […]
New Frontiers in Self-driving Cars
Lidar, used in most self-driving cars, models the world around them by creating 3D representations of a scene in view. Photo by John D. SL/Shutterstock One of the most promising developments born out of the 2005 DARPA Grand Challenge was the use of lidar technology in self-driving cars, also known as autonomous vehicles (AVs). […]
Advancing COVID-19 Drug Development via Network Analysis
CISE Faculty Affiliate Mark Crovella (Prof., CS, Bioinformatics) has teamed up with Simon Kasif (Prof., BME, CS, Bioinformatics) and other CS researchers from across the U.S. to advance COVID-19 drug development via Network Analysis. The researchers are co-developing a machine learning methodology to analyze viral and human protein-protein interaction networks. Through this work, the researchers […]