Pregnancy Models Give Birth to New Health Insights
Having a baby is a life-changing decision that often requires a great deal of time and energy to ensure a positive outcome. But the cost of assisted reproductive technologies like artificial insemination or in-vitro fertilization (IVF) and the emotional impacts of infertility can be a lot to bear. To try to improve the chances of […]
Machine learning reveals new factor for predicting a stroke survivor’s ability to regain language skills
Despite centuries of study, the human brain remains one of science’s greatest mysteries. Most research focuses on how the brain responds to change, but researchers are beginning to shift from studying the effect of the brain injury to recovery and healing. Neuroscientists and computer scientists at Boston University (BU) teamed up to create a method […]
Faculty Spotlight: Alex Olshevsky
Easing the Economic Strain of COVID-19 Lockdowns At the start of the pandemic, CISE Faculty Affiliate Alex Olshevsky (ECE) started developing models to find the best way to lockdown regions to control the spread of the virus. He had previously been working on multi-agent control, which he described as “a collection of robots that want […]
Cars that learn how to drive themselves by watching other cars
Self-driving cars are powered by machine learning algorithms that require vast amounts of driving data in order to function safely. But if self-driving cars could learn to drive in the same way that babies learn to walk—by watching and mimicking others around them—they would require far less compiled driving data. That idea is pushing Boston […]
How Computational Imaging is Helping to Advance In-Vivo Studies of Brain Function
New BU-developed wearable device integrates miniature optics and computational algorithms to enable cortex-wide, cellular resolution imaging of the brain in freely moving animals The ability to study and learn about the brain hinges on what technology is available. Current wearable brain imaging technologies are limited by a small field of view. An interdisciplinary team at […]
Creating Safe, Energy-Efficient Buildings in a Post-Covid World
Smart building technology has been a growing trend in the commercial real estate sector to help building owners and other stakeholders automate processes, reduce costs, boost energy efficiency, and improve the comfort of tenants. In a post-covid world, its adoption is expected to increase as safety amenities top the list of concerns of tenants planning […]
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 […]
Paschalidis Shares Health Data Findings in DeLisi Lecture
CISE Director Professor Yannis Paschalidis (ECE, SE, BME, CDS) discussed data-driven reasoning—which he calls “the backbone of engineering systems”—and predictive health analytics as he delivered the Charles DeLisi Distinguished Lecture May 6 to an online audience of about 100 members of the Boston University community. The DeLisi Award and Lecture honors a senior faculty member […]
Goyal Achieves Record-Breaking Distances for Non Line of Sight Imaging, Featured in PNAS
Vivek Goyal, a CISE research affiliate and professor from the College of Engineering (ECE), worked as part of a team led by Professor Feihu Xu of the University of Science and Technology of China to demonstrate non-line-of-sight (NLOS) imaging and real-time tracking of hidden objects over a distance of 1.43 kilometers. Using both software and […]
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 […]