Researchers from the Tufts Computer Architecture Laboratory develop a new framework to produce contention-aware, lightweight repartitioning algorithms.
Dean of Research and Doble Professor of Engineering Fiorenzo Omenetto and PhD student Luciana D'Amone discuss their research at Tufts Silk Lab in an episode of NOVA PBS (10:30 timestamp).
Professor Igor Sokolov and collaborators receive National Institutes of Health funding to further develop the use of atomic force microscopy and machine learning to identify cancer.
Professor Luis Dorfmann and colleagues published their analysis of electroelastic tubes in a recent issue of Philosophical Transactions of the Royal Society A.