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.

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 […]


CISE awarded $8.8M to develop the next-generation robotics and autonomous systems workforce

The Boston University Center for Information and Systems Engineering (CISE) received an $8.8 million award to fund a new center called the BU Robotics and Autonomous Systems Teaching and Innovation Center (BU-RASTIC). The award, including $4.4M from the Innovation Institute at the Massachusetts Technology Collaborative (MassTech) and $4.4M matching funds from Boston University, will serve to […]