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.

CAREER: Algorithms and Fundamental Limitations for Sparse Control

The proposal is to study the design of feedback control strategies which stabilize and steer systems by affecting them in only a few variables. The motivation comes from applications which are either large-scale or geographically distributed and therefore cannot be feasibly affected in many places. A primary motivating application is the control of metabolic chemical […]

CAREER: Specification-Guided Imitation Learning

Imitation learning (IL) is a powerful learning paradigm that enables machines, such as robots or artificial intelligence (AI) systems, to learn from demonstrations provided by human experts or expert agents. However, in practice, human demonstrations can be inadequate, partial, imperfect, environment-specific, or suboptimal. To address these challenges, this project introduces a novel framework that allows […]

CISE Hosts Pivotal ‘AI for Understanding Earthquakes’ Workshop

On Friday, November 10, 2023, CISE organized a first of its kind workshop, drawing in a diverse gathering of experts hailing from all over the US and Italy to explore the intersection of artificial intelligence and earthquake sciences.  The workshop was presented alongside an AI Challenge, where participants were challenged to predict earthquake timing and […]

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 […]

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 […]