Share to FacebookShare to TwitterShare by Email

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.

Sub-communities within this community

Recently Added

  • Quantization of prior probabilities for collaborative distributed hypothesis testing 

    Rhim, Joong Bum; Varshney, Lav R.; Goyal, Vivek K. (Institute of Electrical and Electronics Engineers (IEEE), 2012-09)
    This paper studies the quantization of prior probabilities, drawn from an ensemble, in distributed detection with data fusion by combination of binary local decisions. Design and performance equivalences between a team of ...
  • Distributed scalar quantization for computing: high-resolution analysis and extensions 

    Misra, Vinith; Goyal, Vivek K.; Varshney, Lav R. (Institute of Electrical and Electronics Engineers (IEEE), 2011-08)
    Communication of quantized information is frequently followed by a computation. We consider situations of distributed functional scalar quantization: distributed scalar quantization of (possibly correlated) sources followed ...
  • Ranked sparse signal support detection 

    Fletcher, A.K.; Rangan, S.; Goyal, V.K. (Institute of Electrical and Electronics Engineers (IEEE), 2012-11)
    This paper considers the problem of detecting the support (sparsity pattern) of a sparse vector from random noisy measurements. Conditional power of a component of the sparse vector is defined as the energy conditioned on ...
  • Intersensor collaboration in distributed quantization networks 

    Sun, John Z.; Goyal, Vivek K. (Institute of Electrical and Electronics Engineers (IEEE), 2013-09)
    Several key results in distributed source coding offer the intuition that little improvement in compression can be gained from intersensor communication when the information is coded in long blocks. However, when sensors ...
  • Distributed functional scalar quantization simplified 

    Sun, John Z.; Misra, Vinith; Goyal, Vivek K. (Institute of Electrical and Electronics Engineers (IEEE), 2013-07)
    Distributed functional scalar quantization (DFSQ) theory provides optimality conditions and predicts performance of data acquisition systems in which a computation on acquired data is desired. We address two limitations ...
  • Time-stampless adaptive nonuniform sampling for stochastic signals 

    Feizi, Soheil; Goyal, Vivek K.; Medard, Muriel (Institute of Electrical and Electronics Engineers (IEEE), 2012-10)
    In this paper, we introduce a time-stampless adaptive nonuniform sampling (TANS) framework, in which time increments between samples are determined by a function of the m most recent increments and sample values. Since ...
  • Computational nanosensing from defocus in single particle interferometric reflectance microscopy 

    Yurdakul, Celalettin; Ünlü, M. Selim (2020-12-01)
    Single particle interferometric reflectance (SPIR) microscopy has been studied as a powerful imaging platform for label-free and highly sensitive biological nanoparticle detection and characterization. SPIR's interferometric ...
  • Simultaneously sparse solutions to linear inverse problems with multiple system matrices and a single observation vector 

    Zelinski, Adam C.; Goyal, Vivek K.; Adalsteinsson, Elfar (2010-01-20)
    A problem that arises in slice-selective magnetic resonance imaging (MRI) radio-frequency (RF) excitation pulse design is abstracted as a novel linear inverse problem with a simultaneous sparsity constraint. Multiple unknown ...
  • On the estimation of nonrandom signal coefficients from jittered samples 

    Weller, Daniel S.; Goyal, Vivek K. (Institute of Electrical and Electronics Engineers (IEEE), 2011-02)
    This paper examines the problem of estimating the parameters of a bandlimited signal from samples corrupted by random jitter (timing noise) and additive, independent identically distributed (i.i.d.) Gaussian noise, where ...
  • Concentric permutation source codes 

    Nguyen, Ha Q.; Varshney, Lav R.; Goyal, Vivek K. (Institute of Electrical and Electronics Engineers (IEEE), 2010-11)
    Permutation codes are a class of structured vector quantizers with a computationally-simple encoding procedure based on sorting the scalar components. Using a codebook comprising several permutation codes as subcodes ...

View more