Theory & Algorithms
Most CISE research projects include elements of theoretical analysis and algorithm development. These projects study the capabilities and fundamental limitations of algorithms to better understand the computational tools utilized in various research fields. Researchers apply this knowledge to machine learning, data structures, optimization, computational biology, cryptography,geometric modeling, and other fields. Theory and algorithms anticipates the growing quantity and power of data and works to use algorithms to their full capacity. Research areas include: designing efficient data structure and algorithms, understanding the complexity of computational problems, and designing secure cryptographic systems.
How Fitbits, Other Bluetooth Devices Make Us Vulnerable to Tracking
BU researchers found that a third-party algorithm can track the location of some Bluetooth devices In 2018, nearly 3.7 billion new Bluetooth-enabled devices shipped worldwide to consumers. From phones and speakers to thermostats and fridges, home appliances and personal devices including “wearables” are rapidly becoming more connected by Wi-Fi than ever before, creating what’s called […]
NSF Student Travel Grant for the 2019 IEEE North American School of Information Theory (NASIT 2019)
This project funds U.S. student participation at the 12th annual IEEE North American School for Information Theory (NASIT). Information Theory studies the transmission, processing, and use of information in many contexts; it draws from and contributes to a large number of disciplines in the engineering, computer, and mathematical sciences. The types of research topics presented […]
Know What’s Good for Your Health? Artificial Intelligence
Every day, it becomes a little harder to find a corner of healthcare not being touched in some fundamental way by data analytics. That Fitbit on your wrist may soon send your resting heart rate to Google, where it would join the electronic health records of millions of others, and where algorithms could yield comprehensive […]
How to Make Self-Driving Vehicles Smarter, Bolder
With $7.5M DOD grant, BU researchers head international team developing bioinspired control systems for self-navigated vehicles Autonomous vehicles that can maneuver themselves around any city are already out on our public roads, says Yannis Paschalidis, but operating off-road remains a challenge. “These vehicles are designed for very structured environments, within roads and lanes,” says Paschalidis, a […]
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 […]
Highway US-33 – Honda and Cassandras Team Up
Self-driving smart cars used to be something that was seen in the movies; an idea that was too far away to even consider a possible reality. Yet, today we are closer to realizing this dream than ever. Most smart cars on the market come equipped with detectors to alert the driver another vehicle is in […]
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 […]
CISE Faculty Affiliate Ishwar Receives $1M NSF Grant
CISE Faculty Affiliate Prakash Ishwar, jointly with an interdisciplinary team of BU researchers, recently won a $1 million grant from the National Science Foundation entitled “Multiplatform, Multilingual, and Multimodal Tools for Analyzing Public Communication in over 100 Languages”. Professor Ishwar, a College of Engineering professor of electrical and computer engineering and systems engineering, will develop analytical […]
CSR: Small: A Just-in-Time, Cross-Layer Instrumentation Framework for Diagnosing Performance Problems in Distributed Applications
Distributed applications running in data centers are critical to society (e.g., for shopping, banking). Engineers must diagnose and fix problems observed in data centers quickly; however, doing so is extremely challenging. A significant hurdle is that engineers must spend significant time and effort exploring what instrumentation (e.g., log messages about specific application behaviors) is needed […]
Researchers Win $900k NSF Grant to Predict Heart Disease, Diabetes Using Machine Learning
Researchers from the Boston University College of Engineering and Boston Medical Center (BMC) will use a three-year, $900,000 grant from the National Science Foundation to develop and pilot a health informatics system to predict patients at risk of heart disease or diabetes, and enable early intervention and personalized treatment. “Our research vision is to deliver personalized healthcare, […]