College of Engineering
Browse by:
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.
http://www.bu.edu/eng/Sub-communities within this community
-
Bioinformatics [101]
The Graduate Program in Bioinformatics -
Biomedical Engineering [129]
Department of Biomedical Engineering -
Electrical and Computer Engineering [92]
Department of Electrical and Computer Engineering -
Materials Science and Engineering [0]
Division of Materials Science and Engineering -
Mechanical Engineering [109]
Department of Mechanical Engineering -
Systems Engineering [1]
Division of Systems Engineering
Recently Added
-
Kirigami actuators
(ROYAL SOC CHEMISTRY, 2017-12-28)Thin elastic sheets bend easily and, if they are patterned with cuts, can deform in sophisticated ways. Here we show that carefully tuning the location and arrangement of cuts within thin sheets enables the design of ... -
Atomistic simulations of tension-induced large deformation and stretchability in graphene kirigami
(AMER PHYSICAL SOC, 2014-12-30)Graphene's exceptional mechanical properties, including its highest-known stiffness (1 TPa) and strength (100 GPa), have been exploited for various structural applications. However, graphene is also known to be quite ... -
Tiresias: predicting security events through deep learning
(ACM Press, 2018)With the increased complexity of modern computer attacks, there is a need for defenders not only to detect malicious activity as it happens, but also to predict the specific steps that will be taken by an adversary when ... -
On the origins of memes by means of fringe web communities
(2018-10-31)Internet memes are increasingly used to sway and manipulate public opinion. This prompts the need to study their propagation, evolution, and influence across the Web. In this paper, we detect and measure the propagation ... -
One for all and all for one: improving replication of genetic studies through network diffusion
(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
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
(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
(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
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
(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 ...
RSS 1.0