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.
New Artificial Intelligence Program Could Help Treat Hypertension
High blood pressure is a major risk factor for heart disease and stroke, two leading causes of death in the U.S, and it is on the rise in this country. Nearly one in two adults have high blood pressure according to the Center for Disease Control. While hypertension is a treatable medical condition, it can be […]
Learning From Animal Behaviors to Inform Control Systems
You may be familiar with the term “blind as a bat”, which is used to describe someone who has poor eyesight. However, recent research on animal behavior by CISE affiliate and Distinguished Professor of Engineering John Baillieul (ME, ECE, SE) found that this phrase is a misconception and many species of bats rely on visual […]
Collaborative Research: CNS Core: Small: A New Architecture for Petabyte-scale File Transfer Evaluated in FABRIC
File transfer is a fundamental operation of the Internet. Important scientific instruments, such as the James Webb Space Telescope and the Large Hadron Collider, generate massive files daily. As files increase in size, it is more likely errors are introduced during their transfer, such as the ones not caught by the checksum process. Reliability is […]
GCR: COLLABORATIVE RESEARCH: MICRO-BIO-GENETICS FOR PROGRAMMABLE ORGANOID FORMATION
This project aims at defining a new area of dynamically-controlled, robot-assisted biological design. A convergent research team consisting of experts in microrobotics, machine learning, and synthetic biology will focus on developing a radically new approach towards analyzing and replicating intricate cellular patterning in mammalian tissues. Not only will this research result in new biological rules, […]
Collaborative Research: Elements: Discrete Simulation of Flexible Structures and Soft Robots
From carbon nanotubes to human-size soft robots, flexible and deformable structures are present throughout the next generation of promising engineering disciplines. However, simulation of these mechanical systems is often slow, and simulation software is challenging to use. In addition, there is little support for simulating flexible structures in common robotics research and education software, limiting […]
Faculty across five BU research centers will work together to prevent future pandemics
A multidisciplinary team of researchers at Boston University will work towards predicting and preventing future pandemics as part of a new $1 million project funded by the National Science Foundation (NSF). Faculty members from the Rafik B. Hariri Institute for Computing and Computational Science & Engineering, the Center for Information & Systems Engineering (CISE), the […]
FRR: Towards Robust and Perceptual Inclusive Mobile Robots
As prototypical intelligent mobile systems, from autonomous vehicles to delivery robots, move from their controlled development labs into the real-world, their impact on individuals with disabilities becomes discernible. An intelligent system that fails to account for diverse reactions and mobility characteristics among individuals can have dire consequences. For example, a delivery robot may inadvertently cause […]
PIPP Phase I: Predicting and Preventing Epidemic to Pandemic Transitions
The COVID-19 pandemic and its effects, both in terms of the millions of lives lost and the trillions in estimated costs, are a recent example of the devastation pandemics can cause. Any discernible progress in the prediction, early detection, and rapid response would have significant impacts on human welfare. The overarching goal of this project […]
Could a Computer Diagnose Alzheimer’s Disease and Dementia?
It takes a lot of time—and money—to diagnose Alzheimer’s disease. After running lengthy in-person neuropsychological exams, clinicians have to transcribe, review, and analyze every response in detail. But researchers at Boston University have developed a new tool that could automate the process and eventually allow it to move online. Their machine learning–powered computational model can […]
New Technology Could Predict When Someone’s Mobility is Declining
CISE Faculty Affiliate Roberto Tron uses Visual-Inertial Filtering for Clinically-Relevant Human Walking Quantification As we age, the likelihood of falling and getting injured increases. But what if we could prevent these accidents from happening? CISE faculty affiliate Roberto Tron is working on preventing injuries by monitoring mobility through cameras, sensors, machine learning, and estimation algorithms […]