College of Engineering
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The College of Engineering at Boston University is a community of students, faculty, and staff focused on advancing science and technology through research and discovery, and preparing students to be technology leaders in the 21st century. Undergraduate students participate in a comprehensive core curriculum that sets the foundation for their engineering studies while delivering a breadth of education across the humanities, mathematics, and social and natural sciences. Through an array of majors and concentrations, they can study aerospace, biomedical, computer, electrical, manufacturing or mechanical engineering, as well as nanotechnology, and energy technologies and environmental engineering. They also have the opportunity work side-by-side with research faculty in a number of modern, high-tech facilities. Graduate students partake in myriad programs and research opportunities leading to doctoral or master’s degrees in biomedical, computer, computer systems, electrical, manufacturing, mechanical, global manufacturing, photonics, systems, or materials science and engineering.
http://www.bu.edu/eng/Sub-communities within this community
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Bioinformatics [101]
The Graduate Program in Bioinformatics -
Biomedical Engineering [197]
Department of Biomedical Engineering -
Electrical and Computer Engineering [168]
Department of Electrical and Computer Engineering -
Materials Science and Engineering [0]
Division of Materials Science and Engineering -
Mechanical Engineering [234]
Department of Mechanical Engineering -
Systems Engineering [1]
Division of Systems Engineering
Recently Added
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Dzyaloshinskii-Moriya chiral magnets and boundary conditions in Skyrmion electronics
(2017)Skyrmion-based electronic devices are a subset of spintronic nanodevices based on chiral materials (1, 2). The Dzyaloshinskii-Moriya (D-M) interaction is a chiral magnetic interaction which models chiral magnetic materials ... -
More homogeneous capillary flow and oxygenation in deeper cortical layers correlate with increased oxygen extraction
(2019-07-15)Our understanding of how capillary blood flow and oxygen distribute across cortical layers to meet the local metabolic demand is incomplete. We addressed this question by using two-photon imaging of resting-state microvascular ... -
Chiral magnet models and boundary condition geometry in Skyrmion electronics
(2017)Field theoretic techniques are used to relate (i) the Landau-Lifschitz approach to Skyrmion devices based on Dzyaloshinskii-Moriya (D-M) chiral magnets, and (ii) the mathematical approaches to quantum magnetism. This ... -
Model-based inference from microvascular measurements: Combining experimental measurements and model predictions using a Bayesian probabilistic approach
(2017-05)OBJECTIVE: In vivo imaging of the microcirculation and network-oriented modeling have emerged as powerful means of studying microvascular function and understanding its physiological significance. Network-oriented modeling ... -
Colocalization of neurons in optical coherence microscopy and Nissl-stained histology in Brodmann’s area 32 and area 21
(Springer Science and Business Media LLC, 2019-01)Optical coherence tomography is an optical technique that uses backscattered light to highlight intrinsic structure, and when applied to brain tissue, it can resolve cortical layers and fiber bundles. Optical coherence ... -
Malleable coding for updatable cloud caching
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2016-12-01)In software-as-a-service applications provisioned through cloud computing, locally cached data are often modified with updates from new versions. In some cases, with each edit, one may want to preserve both the original ... -
Computational periscopy with an ordinary digital camera
(NATURE PUBLISHING GROUP, 2019-01-24)Computing the amounts of light arriving from different directions enables a diffusely reflecting surface to play the part of a mirror in a periscope—that is, perform non-line-of-sight imaging around an obstruction. Because ... -
Photon-efficient computational imaging with a single-photon camera
(2016-07-25)Using a photon-efficient reconstruction algorithm and a single-photon camera prototype, we demonstrate accurate depth and reflectivity imaging of natural scenes from an average of ∼1 detected signal photon per pixel. -
A few good photons: unmixing to mitigate high ambient light levels in active imaging
(OSA, 2017)Recent photon-efficient LIDAR methods are effective with 1.0 detected photon per pixel, half from background. With a novel emphasis on unmixing signal and background contributions, we demonstrate accurate imaging with 25 ... -
Optimal stopping times for estimating Bernoulli parameters with applications to active imaging
(IEEE, 2018-01-01)We address the problem of estimating the parameter of a Bernoulli process. This arises in many applications, including photon-efficient active imaging where each illumination period is regarded as a single Bernoulli trial. ...
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