Data Science, AI & Machine Learning
Data Science, artificial intelligence (AI) and machine learning involve making accurate predictions, data mining, machine learning, and more to guide business decisions. Research areas include: bio inspired control using data from animals, computational biology, computational imaging, cyber security, medical informatics, simulation, and video analytics.
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, […]
Collaborative Research: Data-Driven Mechanism Design for Combinatorial Auctions and Exchanges
This award promises to contribute to the nation’s economic prosperity by improving the efficiency of market mechanisms. Market mechanisms increase the welfare of market participants by enabling the transfer of goods and services from those who ascribe a low value to their holdings to those who ascribe a higher value to them. Combinatorial auctions and […]
QuBBD: From Personalized Predictions to Better Control of Chronic Health Conditions
The United States spends twice as much annually on health care than the next-highest spender but significantly under-performs in quality of care metrics, such as life expectancy and infant mortality. Hospital care accounts for about a third of U.S. health care spending. It has been estimated that nearly $30 billion in hospital care costs each […]
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 […]
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 […]
EAGER: Design and Exploration of Optical Nanoantenna Technology for Advanced IC Testing and Hardware Security
Non-technical: Today’s integrated circuit (IC) chips are used in practically all consumer electronics, as well as in critical defense technologies and municipal support systems such as power and water supply services. To build these chips, state-of-the-art technologies are used that integrate billions of transistors on a single chip. Currently, we do not have the technological […]
CAREER: Multiscale Stochastic Processes, Monte Carlo Methods and Irreversibility
One of the challenges facing today applied mathematics and probability is to obtain accurate and provably efficient methods to approximate and simulate a range of complex systems using probabilistic models. Probabilistic models are commonly used to represent physical, biological and financial phenomena that are often however too complex to solve, approximate or even simulate. The […]
XPS: FULL: CCA: Collaborative Research: Automatically Scalable Computation
For over thirty years, each generation of computers has been faster than the one that preceded it. This exponential scaling transformed the way we communicate, navigate, purchase, and conduct science. More recently, this dramatic growth in single processor performance has stopped and has been replaced by new generations of computers with more processors on them; […]
Detection and Tracking of Multiple Dynamic Targets with Cooperating Networked Agents
In the multi-agent framework, a team of autonomous agents cooperates in carrying out complex tasks in an environment that is potentially dynamic, hazardous, and even adversarial. In general, the team must seek out and then monitor targets that may also be moving while balancing the monitoring task with continued exploration. This setting, broadly termed persistent […]
CRCNS: Dynamic network analysis of human seizures for therapeutic intervention
Epilepsy is one of the most common neurological syndromes, affecting an estimated 3 million people in the United States. In one-third of these patients, seizures cannot be controlled despite maximal medication management. The complexity of the neuronal network dynamics that define the epileptogenic cortex and drive seizure initiation and spread makes understanding and treating epilepsy […]