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Please join us in celebrating National Engineers Week, February 18 to 25, with a wide variety of activities on campus. This year’s schedule is as follows. Events subject to be added or changed. Registration has closed for all events.
Join the Google team as they share ways to perfect your technical interviewing skills. Registration required. Hosted by the JHU Career Center.
Compete in teams of three on Feb. 21 in the Glass Pavilion to test your engineering skills. Compete with other students and even Johns Hopkins faculty to make your tower the tallest. Top three teams get a prize!
Hosted by the Whiting School of Engineering and Theta Tau, the co-ed professional engineering fraternity.
This event is part of WSE’s Engineers Week.
What global challenges could engineering approaches help solve? Take the EWH Challenge and find out. Hosted by Engineering World Health.
Stop by the studio to learn some hands-on techniques for prototyping with acrylic. We’ll discuss how to design, bend, and bond acrylic for common structures including boxes, rigs, and mounts. Hosted by the Center for Bioengineering Innovation and Design.
See, hear, and learn about interesting, innovative projects–from the cool Johns Hopkins Baja car to a remote-controlled airplane–being designed and constructed by JHU Engineering student teams. Hosted by JHU Affinity Groups and Hopkins Engineering Alumni.
Archana Venkataraman, assistant professor of electrical and computer engineering at Johns Hopkins University, will present “An Adaptable Framework to Extract Abnormal Brain Networks” as part of the Institute for Computational Medicine‘s Distinguished Seminar Series. The seminar begins at 11 a.m. in 110 Clark Hall on March 7.
There is increasing evidence that complex neurological disorders reflect distributed impairments across multiple brain systems. These findings underscore the importance of network-based approaches for functional data. However, network analyses in clinical neuroimaging is largely limited to aggregate measures, which do not pinpoint a concrete etiological mechanism. In contrast, I will present a novel Bayesian framework that captures the underlying topology of the altered functional pathways.
In the first part of this talk, I will introduce our core framework to extract abnormal network foci from functional MRI data. This model relies on a latent structure, which captures hidden interactions within the brain; the latent variables are complemented by an intuitive likelihood model for the observed neuroimaging measures. The resulting variational EM algorithm produces clinically meaningful results by simultaneously localizing the centers of abnormal activity and the network of altered connectivity. Next, I will address three technical challenges: flexible network topology, multimodal integration and patient-specific analysis. I will demonstrate that our core framework can elegantly be adapted to each of these scenarios and yields novel insights into autism, schizophrenia and epilepsy, respectively. Finally, I will highlight some exciting future directions for our methodology that revolve around clinical understanding and interventions.