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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

  • One for all and all for one: improving replication of genetic studies through network diffusion 

    Lancour, Daniel; Naj, Adam; Mayeux, Richard; Haines, Jonathan L.; Pericak-Vance, Margaret A.; Schellenberg, Gerard C.; Crovella, Mark; Farrer, Lindsay A.; Kasif, Simon (PUBLIC LIBRARY SCIENCE, 2018-04-01)
    Improving accuracy in genetic studies would greatly accelerate understanding the genetic basis of complex diseases. One approach to achieve such an improvement for risk variants identified by the genome wide association ...
  • 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 ...
  • Maturation trajectories of cortical resting-state networks depend on the mediating frequency band 

    Khan, Sheraz; Hashmi, Javeria A.; Mamashli, Fahimeh; Michmizos, Konstantinos; Kitzbichler, Manfred G.; Bharadwaj, Hari; Bekhti, Yousra; Ganesan, Santosh; Garel, Keri-Lee A.; Whitfield-Gabrieli, Susan; Gollub, Randy L.; Kong, Jian; Vaina, Lucia M.; Rana, Kunjan D.; Stufflebeam, Steven M.; Hamalainen, Matti S.; Kenet, Tal (Academic Press Inc Elsevier Science, 2018-07-01)
    The functional significance of resting state networks and their abnormal manifestations in psychiatric disorders are firmly established, as is the importance of the cortical rhythms in mediating these networks. Resting ...
  • Partial volume correction for PET quantification and its impact on brain network in Alzheimer's disease 

    Yang, Jiarui; Hu, Chenhui; Guo, Ning; Dutta, Joyita; Vaina, Lucia M.; Johnson, Keith A.; Sepulcre, Jorge; El Fakhri, Georges; Li, Quanzheng (Nature Publishing Group, 2017-10-12)
    Amyloid positron emission tomography (PET) imaging is a valuable tool for research and diagnosis in Alzheimer’s disease (AD). Partial volume effects caused by the limited spatial resolution of PET scanners degrades the ...
  • The emotional valence of subliminal priming effects perception of facial expressions 

    Huang, Melissa A.; Rana, Kunjan D.; Vaina, Lucia M. (2016)
    We investigated, in young healthy subjects, how the affective content of subliminally presented priming images and their specific visual attributes impacted conscious perception of facial expressions. The priming images ...
  • Functional neuroanatomy of time-to-passage perception 

    Geng, Yansong; Sikoglu, Elif M.; Hecht, Heiko; Vaina, Lucia (Scientific Research Publishing, 2018)
    The time until an approaching object passes the observer is referred to as time-to-passage (TTP). Accurate judgment of TTP is critical for visually guided navigation, such as when walking, riding a bicycle, or driving a ...
  • Improving the nulling beamformer using subspace suppression 

    Vaina, L. M.; Rana, Kunjan; Hämäläinen, Matti (Frontiers Media, 2018-04-29)
    Magnetoencephalography (MEG) captures the magnetic fields generated by neuronal current sources with sensors outside the head. In MEG analysis these current sources are estimated from the measured data to identify the ...

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