Research
Know What’s Good for Your Health? Artificial Intelligence
Big Data, Big Impact Part Four of a Five-Part Series Part Five → Story by Art Jahnke Illustration by Carlos Soler May 29, 2019 Art Jahnke Know What’s Good for Your Health? Artificial Intelligence Data and algorithms can spot medical concerns early and point to solutions A generation ago, the internet changed everything. Today, data science […]
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 By Kat J. McAlpine (originally published on BU Today, April 17, 2019) 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 […]
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 prestigious grant, […]
BU Initiatives on Cities – Beyond Congestion: Pathways to Better Mobility
By Doruntina Zeneli On Tuesday March 26, panelists discussed how current transportation networks within major cities do not operate efficiently and future technology will serve a key role in incentivizing change and eliminating congestion. The conversation was initially led by Matthew Raifman, Senior Manager at Ford Smart Mobility. Raifman described congestion as an “excess of vehicles on […]
BU Proposes to Build Data Sciences Center, Aiming to Become Leader in Booming Field
BU Today reports that Boston University has announced plans to build a new 17-floor Data Sciences Center, furthering its leadership in data science and interdisciplinary research. Doug Most, Assistant VP, Executive Editor of BU Todaywrites, “Big data is playing a particularly major role in healthcare, allowing hospitals and doctors to move toward more personalized medicine.” The story references related research […]
Using Big Data, Machine Learning to Reduce Chronic Disease Spending
Research by College of Engineering Professors Yannis Paschalidis (ECE, BME, SE) and Christos Cassandras (ECE, SE) and BMC Associate Chief Medical Information Officer and BU School of Medicine Assistant Professor of Medicine Rebecca Mishuris is featured in HealthIT Analytics. The article discusses how they will use a new $900K grant from the National Science Foundation to advance machine learning and big data to […]
Researchers Win $900k NSF Grant to Predict Heart Disease, Diabetes Using Machine Learning
By Maureen Stanton, CISE Researchers (from left) Paschalidis, Mishuris, and Cassandras win $900K NSF grant to predict heart disease and 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 […]
Lectures in China
Professor Paschalidis will be visiting China in mid July 2018 to deliver a semi-plenary talk at the 2018 MTNS Conference and invited seminars at the Shanghai Jia Tong University (SJTU flyer) and the Huazhong University of Science and Technology.
The Price of Anarchy on the roads and how to reduce it
We are publishing a new paper in the Proceedings of the IEEE which used minute-by-minute traffic data from the Boston area to estimate the effect on traffic congestion of drivers’ selfish route selection as opposed to a more coordinated, socially optimal routing scheme. We found that during certain very congested periods, socially optimal routing can lead […]
Developing a New Score: How Machine Learning Improves Risk Prediction
A Medical Device and Diagnostic Industry publication describes efforts in health predictive analytics and refers to our work.