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Welcome to the Department of Electrical & Computer Engineering

The Department of Electrical & Computer Engineering (ECE) offers a world-class education and conducts innovative research at the forefront of evolving technologies like computer hardware and software development, electronic and photonic devices, as well as sensing, processing and communication of various forms of information. With a renowned faculty, interdisciplinary research focus, cutting-edge facilities, and diverse student body, ECE is at the forefront of the technological breakthroughs that are shaping the future. Research activities in ECE are broadly classified into three primary areas: Computer Engineering, Electro-Physics, and Information and Data Sciences. The boundaries between these groups are not sharp, and interaction and cross-fertilization is common. In addition to rigorous class work, ECE degree programs encourage students to pursue hands-on research under the guidance of our accomplished faculty and in cooperation with university-wide centers and cross-disciplinary collaborations. This combination of practical and theoretical education ensures a breadth of experience in innovative problem solving and exploration that will prepare graduates for wide-range of interdisciplinary engineering careers.

ECE Contacts

Boston University Department of Electrical & Computer Engineering
W. Clem Karl, PhD, Chair
8 St. Mary's St., Room 324
Phone: (617) 353-2811
Fax: (617) 353-7337

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Recently Added

  • Highly sensitive transient absorption imaging of graphene and graphene oxide in living cells and circulating blood 

    Li, Junjie; Zhang, Weixia; Chung, Ting-Fung; Slipchenko, Mikhail N.; Chen, Yong P.; Cheng, Ji-Xin; Yang, Chen (2015-07-23)
    We report a transient absorption (TA) imaging method for fast visualization and quantitative layer analysis of graphene and GO. Forward and backward imaging of graphene on various substrates under ambient condition was ...
  • Understanding cellular internalization pathways of silicon nanowires 

    McNear, Kelly; Huang, Yimin; Yang, Chen (2017-03-01)
    BACKGROUND: Understanding how cells interact with nanomaterials is important for rational design of nanomaterials for nanomedicine and transforming them for clinical applications. Particularly, the mechanism for one-dimensional ...
  • Use of graphene as protection film in biological environments 

    Zhang, Weixia; Lee, Sudarat; McNear, Kelly L.; Chung, Ting Fung; Lee, Seunghyun; Lee, Kyunghoon; Crist, Scott A.; Ratliff, Timothy L.; Zhong, Zhaohui; Chen, Yong P.; Yang, Chen (2014-02-14)
    Corrosion of metal in biomedical devices could cause serious health problems to patients. Currently ceramics coating materials used in metal implants can reduce corrosion to some extent with limitations. Here we proposed ...
  • Far-field imaging of non-fluorescent species with sub-diffraction resolution 

    Wang, Pu; Slipchenko, Mikhail N.; Mitchell, James; Yang, Chen; Potma, Eric O.; Xu, Xianfan; Cheng, Ji-Xin (2013)
    Super-resolution optical microscopy is opening a new window to unveil the unseen details on the nanoscopic scale. Current far-field super-resolution techniques rely on fluorescence as the read-out1-5. Here, we demonstrate ...
  • Edge-TM: Exploiting transactional memory for error tolerance and energy efficiency 

    Moreshet, Tali; Papagiannopoulou, Dimitra; Marongiu, Andrea; Herlihy, Maurice; Bahar, R. Iris (2017-10-01)
    Scaling of semiconductor devices has enabled higher levels of integration and performance improvements at the price of making devices more susceptible to the effects of static and dynamic variability. Adding safety margins ...
  • Evaluating critical bits in arithmetic operations due to timing violations 

    Moreshet, Tali; Whang, Sungseob; Rachford, Tymani; Papagiannopoulou, Dimitra; Bahar, R. Iris (2017-09-01)
    Various error models are being used in simulation of voltage-scaled arithmetic units to examine application-level tolerance of timing violations. The selection of an error model needs further consideration, as differences ...
  • Hybrid approximate message passing 

    Rangan, Sundeep; Fletcher, Alyson K.; Goyal, Vivek K.; Byrne, Evan; Schniter, Philip (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2017-09-01)
    Gaussian and quadratic approximations of message passing algorithms on graphs have attracted considerable recent attention due to their computational simplicity, analytic tractability, and wide applicability in optimization ...
  • Scalar quantization with random thresholds 

    Goyal, Vivek K (2011-09)
    The distortion-rate performance of certain randomly-designed scalar quantizers is determined. The central results are the mean-squared error distortion and output entropy for quantizing a uniform random variable with ...
  • A few photons among many: unmixing signal and noise for photon-efficient active imaging 

    Rapp, Joshua; Goyal, Vivek K. (2017-09)
    Conventional LIDAR systems require hundreds or thousands of photon detections per pixel to form accurate depth and reflectivity images. Recent photon-efficient computational imaging methods are remarkably effective with ...
  • Photon-efficient imaging with a single-photon camera. 

    Shin, Dongeek; Xu, Feihu; Venkatraman, Dheera; Lussana, Rudi; Villa, Federica; Zappa, Franco; Goyal, Vivek K.; Wong, Franco N.C.; Shapiro, Jeffrey H. (2016-06-24)
    Reconstructing a scene's 3D structure and reflectivity accurately with an active imaging system operating in low-light-level conditions has wide-ranging applications, spanning biological imaging to remote sensing. Here we ...

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