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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

Collections in this community

Recently Added

  • TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents 

    Kiourti, Panagiota; Wardega, Kacper; Jha, Susmit; Li, Wenchao
    Recent work has identified that classification models implemented as neural networks are vulnerable to data-poisoning and Trojan attacks at training time. In this work, we show that these training-time vulnerabilities ...
  • Minimal reachability is hard to approximate 

    Jadbabaie, Ali; Olshevsky, Alexander; Pappas, George J.; Tzoumas, Vasileios (Institute of Electrical and Electronics Engineers, 2017)
    In this note, we consider the problem of choosing, which nodes of a linear dynamical system should be actuated so that the state transfer from the system's initial condition to a given final state is possible. Assuming a ...
  • Gradient descent for sparse rank-one matrix completion for crowd-sourced aggregation of sparsely interacting workers 

    Ma, Yao; Olshevsky, Alexander; Saligrama, Venkatesh; Czepesvari, Csaba (2018-07-10)
    We consider worker skill estimation for the singlecoin Dawid-Skene crowdsourcing model. In practice skill-estimation is challenging because worker assignments are sparse and irregular due to the arbitrary, and uncontrolled ...
  • A family of droids -- Android malware detection via behavioral modeling: static vs dynamic analysis 

    Onwuzurike, Lucky; Almeida, Mario; Mariconti, Enrico; Blackburn, Jeremy; Stringhini, Gianluca; Cristofaro, Emiliano De
    Following the increasing popularity of mobile ecosystems, cybercriminals have increasingly targeted them, designing and distributing malicious apps that steal information or cause harm to the device's owner. Aiming to ...
  • Deep learning approach to Fourier ptychographic microscopy 

    Thanh, Nguyen; Xue, Yujia; Li, Yunzhe; Tian, Lei; Nehmetallah, George (OPTICAL SOC AMER, 2018-10-01)
    Convolutional neural networks (CNNs) have gained tremendous success in solving complex inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct video sequences of dynamic live cells captured ...
  • Deep speckle correlation: a deep learning approach toward scalable imaging through scattering media 

    Li, Yunzhe; Xue, Yujia; Tian, Lei (OPTICAL SOC AMER, 2018-10-20)
    Imaging through scattering is an important yet challenging problem. Tremendous progress has been made by exploiting the deterministic input–output “transmission matrix” for a fixed medium. However, this “one-to-one” mapping ...
  • Epitaxial growth of Cu on Cu(001): Experiments and simulations 

    Furman, Itay; Biham, Ofer; Zuo, Jiang-Kai; Swan, Anna K.; Wendelken, John F. (American Physical Society (APS), 2000-10-15)
    A quantitative comparison between experimental and Monte Carlo simulation results for the epitaxial growth of Cu/Cu(001) in the submonolayer regime is presented. The simulations take into account a complete set of hopping ...
  • Chirality dependence of the radial breathing phonon mode density in single wall carbon nanotubes 

    Vamivakas, A. N.; Yin, Y.; Walsh, A. G.; Unlu, M. S.; Goldberg, B. B.; Swan, A. K. (2006-09-01)
    A mass and spring model is used to calculate the phonon mode dispersion for single wall carbon nanotubes (SWNTs) of arbitrary chirality. The calculated dispersions are used to determine the chirality dependence of the ...
  • 2D Raman band splitting in graphene: charge screening and lifting of the K-point Kohn anomaly 

    Wang, Xuanye; Christopher, Jason W.; Swan, Anna K. (NATURE PUBLISHING GROUP, 2017-10-19)
    Pristine graphene encapsulated in hexagonal boron nitride has transport properties rivalling suspended graphene, while being protected from contamination and mechanical damage. For high quality devices, it is important to ...
  • Mems device with large out-of-plane actuation and low-resistance interconnect and methods of use 

    Holyoak, Michael Jarret; Kannell, George Kenneth; Beacken, Marc Jay; Bishop, David J.; Chang, Jackson; Imboden, Matthias (2017-05-18)
    The present application is directed to a MEMS device. The MEMS device includes a substrate having a first end and a second end extending along a longitudinal axis, the Substrate including an electrostatic actuator. The ...

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