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.
CISE Faculty Affiliate Venkatesh Saligrama (ECE) Appointed BU Data Science Faculty Fellow
The Data Science Faculty Fellows Program was created in 2017 by Provost Jean Morrison as a part of the BU Data Science Initiative, to help build on the University’s vision for research and education in this strategically important area. Candidates are selected through an evaluation of their current research portfolio, demonstrated contributions, a track record […]
Know What’s Good for Your Health? Artificial Intelligence
Every day, it becomes a little harder to find a corner of healthcare not being touched in some fundamental way by data analytics. That Fitbit on your wrist may soon send your resting heart rate to Google, where it would join the electronic health records of millions of others, and where algorithms could yield comprehensive […]
EAGER: SaTC: Early-Stage Interdisciplinary Collaboration: Multi-regulation computation
This interdisciplinary project investigates whether existing cryptographic techniques for analyzing siloed data comport with participants’ legal restrictions on data disclosure. Secure multi-party computation (MPC) is a technique from cryptography that allows several participants, each with sensitive information, to analyze their data collectively without ever sharing it. Several companies, governments, and non-profit organizations have adopted MPC […]
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 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 are designed for very structured environments, within roads and lanes,” says Paschalidis, a […]
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 […]
CISE Faculty Affiliate Ishwar Receives $1M NSF Grant
CISE Faculty Affiliate Prakash Ishwar, jointly with an interdisciplinary team of BU researchers, recently won a $1 million grant from the National Science Foundation entitled “Multiplatform, Multilingual, and Multimodal Tools for Analyzing Public Communication in over 100 Languages”. Professor Ishwar, a College of Engineering professor of electrical and computer engineering and systems engineering, will develop analytical […]
CSR: Small: A Just-in-Time, Cross-Layer Instrumentation Framework for Diagnosing Performance Problems in Distributed Applications
Distributed applications running in data centers are critical to society (e.g., for shopping, banking). Engineers must diagnose and fix problems observed in data centers quickly; however, doing so is extremely challenging. A significant hurdle is that engineers must spend significant time and effort exploring what instrumentation (e.g., log messages about specific application behaviors) is needed […]
Convergence: RAISE Integrating machine learning and biological neural networks
The field of neuroscience is undergoing a rapid transformation, and within the next decade, it may become possible to capture data from millions of individual neurons at the same time. Such a technological advancement would allow scientists to record and analyze a significant fraction of the brain’s neural network at unprecedented spatial and time resolutions. […]
BIGDATA: IA: Multiplatform, Multilingual, and Multimodal Tools for Analyzing Public Communication in over 100 Languages
In today’s information age, understanding public communication flows around the world is important to United States policy and diplomacy. The challenge for research is to collect, analyze, and interpret information as it is presented worldwide, creating big data that is flowing at high velocity, in large volumes, with much variety in perspective, language, and platforms. […]
BIGDATA: IA: Multiplatform, Multilingual, and Multimodal Tools for Analyzing Public Communication in over 100 Languages
In today’s information age, understanding public communication flows around the world is important to United States policy and diplomacy. The challenge for research is to collect, analyze, and interpret information as it is presented worldwide, creating big data that is flowing at high velocity, in large volumes, with much variety in perspective, language, and platforms. […]