Theory and algorithms research investigates foundational principles of computation, designing efficient algorithms and proving limits on computational problems. Work spans complexity theory, combinatorial algorithms, approximation, randomized methods, and algorithmic game theory, underpinning practical advances in computing. Explore our latest research with impacts in healthcare, climate, and more. Use the filters to refine your search.

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28 result(s) found.

  • $1.1 Million Awarded to Joint Study on Impacts of Data Centers in Norway’s Clean Energy Transition

    July 13, 2023
    As Norway strives to position itself as a hub for global digital infrastructure—building data centers for cloud storage and processing—questions about the benefits and tradeoffs of digitalization are being brought to the forefront of its sustainability policy. Now, through a government-backed initiative, the Research Council of Norway has awarded more than $1.1 million in funding […]

  • 2024 Red Hat Collaboratory Research Incubation Award Recipients

    December 14, 2023
    By Ken Rudolph, Hariri Institute The Red Hat Collaboratory at Boston University has announced the recipients of its 2024 Research Incubation Awards. Twelve new and renewed research projects received nearly $2 million in funding to support research in topics ranging from reconfigurable hardware to homomorphic encryption, energy efficiency, and training models for autonomous vehicles. This […]

  • Advancing Sustainability Through AI-driven Research and ENERGIZE Graduate Training

    March 21, 2025
    Junior Faculty Fellow Spotlight: James Chapman, Assistant Professor, Mechanical Engineering By Alex Grzybowski High-entropy alloys (HEAs) have major applications to the world of materials science. These alloys contain roughly equal amounts of five or more different elements with different crystal structures, which allows the materials to have increased strength, hardness, wear resistance, thermal stability, and […]

  • Boston University’s Sarah Milligan Launches First Comprehensive R Package Bringing Variational Autoencoders to Tabular Data

    January 30, 2026
    By Hariri Institute Staff Sarah Milligan, a 2025 Hariri Institute Graduate Student Fellow and PhD candidate in Biostatistics at the BU School of Public Health, has developed a groundbreaking R package that brings Variational Autoencoders (VAEs) to tabular data, the first comprehensive tool of its kind available in the R programming language. VAEs are a […]

  • BU Interdisciplinary Team Wins DOE Grant for Biopreparedness Research

    September 11, 2023
    By Chloe Patel, Hariri Institute for Computing Boston University researchers affiliated with the Hariri Institute, College of Engineering, and School of Public Health, have received a subaward from a $12 million U.S. Department of Energy (DOE) grant awarded to a coalition of DOE National Laboratories led by the Lawrence Berkeley National Laboratory (LBNL). This funding, […]

  • Byte by byte: Using data science to study human behavior

    May 4, 2022
    BY: ALEX JOHNSON A popular thought experiment pushes people to consider the ethics of redirecting a trolley to hit a single person that is at the wrong place at the wrong time in order to avoid hitting five workers that the trolley is barreling toward. This puzzle has been debated for decades, but now researchers […]

  • Can a statistical model find connections between imaging and genomic measures in brain cancer?

    October 18, 2022
    BY GINA MANTICA The time-intensive and costly process of getting a biopsy isn’t ideal for treating fatal brain cancers. Low-grade glioma, a type of slow-growing brain tumor, requires early detection and treatment to extend a person’s life. Researchers from Boston University, University of Michigan, Ohio State University, and University of Nottingham developed a tool that […]

  • COVID-19 risk factors change over time in Massachusetts communities

    August 5, 2021
    BY GINA MANTICA As COVID-19 cases increase across the country again, public health officials grapple with how to direct their time, energy, and resources to stop the spread of the coronavirus. But targeted interventions require an understanding of which local communities are at the greatest risk for contracting the disease. A team of researchers from […]

  • Event Recap: Invitation to a Model Workshop

    September 1, 2021
    BY GINA MANTICA The impact of public health interventions on a population can be difficult to test through real-life experiments, due to the amount of time it takes to implement new policies and evaluate their effects. But simulation models enable researchers to create and implement public health interventions in a virtual setting so they can […]

  • Faculty across five BU research centers work together to prevent future pandemics

    August 3, 2022
    A multidisciplinary team of researchers were awarded funding from the National Science Foundation (NSF) to develop models that predict disease emergence and spread, and to devise pandemic mitigation strategies.   BY GINA MANTICA A multidisciplinary team of researchers at Boston University will work towards predicting and preventing future pandemics as part of a new $1 million […]