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URI: http://hdl.handle.net/2144/971

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.

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Recently Added

  • Surface modification of stainless steel for biomedical applications: revisiting a century-old material 

    Bekmurzayeva, Aliya; Duncanson, Wynter J.; Azevedo, Helena S.; Kanayeva, Damira (Elsevier BV, 2018-12)
    Stainless steel (SS) has been widely used as a material for fabricating cardiovascular stents/valves, orthopedic prosthesis, and other devices and implants used in biomedicine due to its malleability and resistance to ...
  • Bone mechanical properties in healthy and diseased states 

    Morgan, Elise F.; Unnikrishnan, Ginu U.; Hussein, Amira I. (Annual Reviews, 2018)
    The mechanical properties of bone are fundamental to the ability of our skeletons to support movement and to provide protection to our vital organs. As such, deterioration in mechanical behavior with aging and/or diseases ...
  • Automatic cell segmentation by adaptive thresholding (ACSAT) for large-scale calcium imaging datasets 

    Shen, Simon P.; Tseng, Hua-An; Hansen, Kyle R.; Wu, Ruofan; Gritton, Howard J.; Si, Jennie; Han, Xue (2018-09)
    Advances in calcium imaging have made it possible to record from an increasingly larger number of neurons simultaneously. Neuroscientists can now routinely image hundreds to thousands of individual neurons. An emerging ...
  • Video-rate volumetric neuronal imaging using 3D targeted illumination 

    Xiao, Sheng; Tseng, Hua-an; Gritton, Howard; Han, Xue; Mertz, Jerome (NATURE PUBLISHING GROUP, 2018-05-21)
    Fast volumetric microscopy is required to monitor large-scale neural ensembles with high spatio-temporal resolution. Widefield fluorescence microscopy can image large 2D fields of view at high resolution and speed while ...
  • Modeling genetic circuit behavior in transiently transfected mammalian cells 

    Wang, Junmin; Isaacson, Samuel A.; Belta, Calin (2019-04-19)
    Binning cells by plasmid copy number is a common practice for analyzing transient transfection data. In many kinetic models of transfected cells, protein production rates are assumed to be proportional to plasmid copy ...
  • Cross-modal cue effects in motion processing 

    Hanada, G. M.; Ahveninen, J.; Calabro, F. J.; Yengo-Kahn, A.; Vaina, Lucia M. (Brill Academic Publishers, 2018)
    The everyday environment brings to our sensory systems competing inputs from different modalities. The ability to filter these multisensory inputs in order to identify and efficiently utilize useful spatial cues is necessary ...
  • Non-natural metrics on the tangent bundle 

    Vang, Bee; Tron, Roberto
    Natural metrics provide a way to induce a metric on the tangent bundle from the metric on its base manifold. The most studied type is the Sasaki metric, which applies the base metric separately to the vertical and horizontal ...
  • Design space exploration of neural network activation function circuits 

    Yang, Tao; Wei, Yadong; Tu, Zhijun; Zeng, Haolun; Kinsy, Michel A.; Zheng, Nanning; Ren, Pengju (Institute of Electrical and Electronics Engineers (IEEE), 2019-10)
    The widespread application of artificial neural networks has prompted researchers to experiment with field-programmable gate array and customized ASIC designs to speed up their computation. These implementation efforts ...
  • A lightweight McEliece cryptosystem co-processor design 

    Bu, Lake; Agrawal, Rashmi; Cheng, Hai; Kinsy, Michel A.
    Due to the rapid advances in the development of quantum computers and their susceptibility to errors, there is a renewed interest in error correction algorithms. In particular, error correcting code-based cryptosystems ...
  • Sphinx: a secure architecture based on binary code diversification and execution obfuscation 

    Kinsy, Michel A.; Kava, Donato; Ehret, Alan; Mark, Miguel (2018)
    Sphinx, a hardware-software co-design architecture for binary code and runtime obfuscation. The Sphinx architecture uses binary code diversification and self-reconfigurable processing elements to maintain application ...

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