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Events for August 19, 2016
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NL Seminar
Fri, Aug 19, 2016 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Xiang Li, USC/ISI Intern
Talk Title: Event extraction from AMR representations
Abstract: How to use NLP techniques to help medical researchers is crucial now. And making use of millions of medical passages is a good starting point. By doing this, we can extract useful information from these papers and help medical researchers a lot.
I will introduce a simple method to extract relations between proteins using AMR. By using this rule-base system, we can get AMR representation to simplified AMR(SMR) which only contains protein relation information.
Biography: Xiang Li (Lorraine) is a 2016 summer intern under the supervision of Prof Kevin Knight and Prof Daniel Marcu. She is also going to be a PhD student at the University of Massachusetts Amherst in Andrew McCallums research group in this coming Fall. She got her B.S at the East China Normal University, Shanghai, China and got her M.S at the University of Chicago. Her research interest mainly focused on natural language processing and machine learning.
Host: Xing Shi
Location: Information Science Institute (ISI) - 1135 - 11th fl Large CR
Audiences: Everyone Is Invited
Contact: Alma Nava / Information Sciences Institute
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INF New Students Welcome Lunch
Fri, Aug 19, 2016 @ 11:30 AM - 01:30 PM
Thomas Lord Department of Computer Science
Receptions & Special Events
The welcome lunch for all new USC Computer Science students in the INF programs, Cyber Security Engineering, Data Informatics, Spatial Informatics, and Communication Informatics.
A casual event for new students, CS faculty and staff to meet and mingle. Join us for a bbq lunch and enjoy the warm Southern California weather out on SAL Lawn in front of the Salvatori Computer Science Center.
By invitation only. Invitations were sent via email.
Location: Henry Salvatori Computer Science Center (SAL) - Lawn
Audiences: By invitation only.
Contact: Assistant to CS chair
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Advancing MRI to See Right Through The Way You Move
Fri, Aug 19, 2016 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Daniel Weller, Ph.D., Department of Electrical and Computer Engineering, University of Virginia
Talk Title: Advancing MRI to See Right Through The Way You Move
Series: Medical Imaging Seminar Series
Abstract: Motion in different forms remains a major challenge in numerous clinical applications of magnetic resonance imaging (MRI), such as assessing cardiac function, diagnosing masses in the liver or abdomen, and tracing neural function while planning and performing brain surgery. To make MRI more competitive alongside ultrasound and CT imaging for these applications, current research aims to make image acquisition faster and more robust to motion artifacts. Like a mash-up of NSYNC and Outkast, this talk will focus on how motion estimation and correction and image reconstruction can be integrated to address these challenges. After summarizing recent collaborative efforts in these areas at the University of Virginia, this talk will explore some of the open questions and unsolved problems that stand in the way of translating state of the art methods to clinical practice. This talk will conclude with a discussion of related questions in imaging and connections beyond MRI.
Biography: Daniel Weller is an assistant professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia (UVA), in Charlottesville, VA, where he leads the Virginia Imaging Theory and Algorithms Laboratory. Previously, he was a postdoctoral research fellow at the University of Michigan, in Ann Arbor, MI, where he worked on imaging research supported by a US National Institutes of Health Ruth L. Kirschstein National Research Service Award postdoctoral fellowship. He completed his SM and PhD in Electrical Engineering in 2008 and 2012 at MIT, in Cambridge, MA, preceded by completing his BS in Electrical and Computer Engineering in 2006 at Carnegie Mellon University in Pittsburgh, PA. He serves as an associate editor for the IEEE Transactions on Medical Imaging and is a member of the special interest group on Computational Imaging in the IEEE Signal Processing Society. He is also a team leader for UVA CHARGE, an NSF ADVANCE program aimed at recruiting and retaining women faculty in STEM and SBE fields. He is a member of IEEE, ISMRM, AHA, Eta Kappa Nu, and Tau Beta Pi.
Host: Professor Justin Haldar
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Talyia White
