Theory & Algorithms

Most CISE research projects include elements of theoretical analysis and algorithm development. These projects study the capabilities and fundamental limitations of algorithms to better understand the computational tools utilized in various research fields. Researchers apply this knowledge to machine learning, data structures, optimization, computational biology, cryptography,geometric modeling, and other fields. Theory and algorithms anticipates the growing quantity and power of data and works to use algorithms to their full capacity. Research areas include: designing efficient data structure and algorithms, understanding the complexity of computational problems, and designing secure cryptographic systems.

A Breakthrough in Security for Decentralized Multi-Robot Systems

In disaster situations like hurricanes, collapsed buildings, and nuclear incidents, the difference between a one-hour response time and a one-day response time can mean life or death. To mitigate these situations, multi-robot systems (MRS) are being increasingly used in search-and-rescue (SAR) operations. Unmanned robots have assisted in SAR efforts following Hurricane Katrina, the Fukushima Daiichi […]

Estimating the Improbable with PhD Student Zack Bezemek

Could oil price volatility cause a stock market plunge? What’s the risk factor of a new drug causing a seizure? How likely is it that a driverless car could crash into a bus? What’s common among these seemingly disparate topics is that they are “rare events” –  low-probability incidents that, if they occur, often have […]

Using Optimized A/B Tests to Improve Online Software Services

Have you ever wondered what exactly is happening when a website asks to track your cookies? CISE Faculty Affiliate Jinglong Zhao (Questrom) is working to help web-facing firms such as Google, Amazon, Netflix, and Facebook use cookies to improve their software services. Zhao works at the interface between optimization and econometrics. He designs field experiments […]

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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 […]

Unified Vision-Based Motion Estimation and Control for Multiple and Complex Robots

The project enables teams of robots to collaborate on physical tasks, such as assembling a building from prefabricated components under the direction of a human worker. In such settings, each robot might be equipped with cameras to orient itself and have some limitations on how it can move. To achieve the robotic team’s goals, each […]

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 […]

Collaborative Research: CPS: Medium: An Online Learning Framework for Socially Emerging Mixed Mobility

Emerging mobility systems, e.g., connected and automated vehicles and shared mobility, provide the most intriguing opportunity for enabling users to better monitor transportation network conditions and make better decisions for improving safety and transportation efficiency. However, different levels of vehicle automation in the transportation network can significantly alter transportation efficiency metrics (travel times, energy, environmental […]

CNS Core: Small: Building Resilience into Blockchains

Blockchains and cryptocurrencies have emerged as disruptive technologies with profound financial and societal impact. This state of affairs makes it imperative to gain better understanding of the dynamics and resilience of the underlying peer-to-peer networks on which blockchains operate. To this end, this project researches novel measurement methodologies, statistical modeling, and design approaches for distributed […]