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Events for February 11, 2014
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Approaches to 3D Image Reconstruction from Motion Scattered Diffusion Weighted MRI of the Fetal Brain
Tue, Feb 11, 2014 @ 03:00 AM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Colin Studholme, University of Washington
Talk Title: Approaches to 3D Image Reconstruction from Motion Scattered Diffusion Weighted MRI of the Fetal Brain
Series: Medical Imaging Seminar Series
Abstract: Magnetic resonance based diffusion weighted imaging provides a unique window into tissue microstructure and brain connectivity. Over the last 7 years there has been significant interest in adapting the technique using post-processing to enable imaging of the unsedated fetal brain in-utero. This talk will review work on reconstruction of diffusion image measurements from single shot multi slice diffusion MRI data, where significant motion has occurred between the acquisition of slices. To form a complete 3D image of diffusion properties during head motion each diffusion weighted slice must be accurately relocated and orientated within a common anatomical coordinate system, and the spatially scattered slices then used to estimate a model of diffusion properties on a regular voxel lattice. This talk will look at these two problems and review the current alternatives to solving them numerically for clinically acquired data. Results on human and primate fetal brain data will be included to illustrate the capabilities and limitations for practical studies of fetal brain growth.
Host: Professor Richard Leahy
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Talyia Veal
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PhD Defense - Adam Lammert
Tue, Feb 11, 2014 @ 11:00 AM - 01:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Structure and Function in Speech Production
PhD Candidate: Adam Lammert
Date: Tuesday, February 11, 2014
Time: 11:00 AM
Location: RTH 320
Abstract: The mechanisms underlying speech production are some of the most crucial that humans posses, because the ability to produce and perceive speech forms much of the basis for human communication, expression and social interaction. This thesis incorporates a three-part approach to understanding speech production control and behavior. The first component is empirical and involves the collection and processing of high-quality speech production data, of which real-time magnetic resonance imaging is the most useful and important. The second component is computational, and involves the development and application of methods for analyzing speech production behavior. The third component is a theoretical perspective that is grounded in the interplay of structure and function in the speech production apparatus. The structure of any motor apparatus is a central consideration for analyzing its control and behavior, but the speech production apparatus has many special considerations that make structure essential to understanding its function. Most speech articulation takes place in the confined environment (i.e., the vocal tract) that varies widely across speakers, and which ultimately determines many of the acoustic properties of the system, a crucial consideration in speech. These special considerations set up a complex interplay between structure and function that provides leverage toward understanding speech production control and behavior. The work described in this thesis comprises several studies that take advantage of the strucure-function interplay, and lay a foundation for future research along those lines.
Bio: Adam Lammert received an A.B. in Cognitive Science from Vassar College in Poughkeepsie, New York and an M.S. in Computer Science from North Carolina State University in Raleigh, North Carolina. Before coming to the University of Southern California to pursue a Ph.D., he was Lab Manager for Speech and Hearing Research at the Veterans Affairs Northern California Health Care System in Martinez, California. His research interests are in cognition, perception and action, with an interdisciplinary emphasis on auditory perception and speech motor control.
Defense Committee: Shrikanth Narayanan (Chair), Gerard Medioni, Louis Goldstein (Outside Member)
Location: Ronald Tutor Hall of Engineering (RTH) - 320
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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CS Colloquium: Dr. Andrew Lemieux: The WILD LEO Project: Using Technology and Training to Increase the Effectiveness of Anti-Poaching Teams in Uganda
Tue, Feb 11, 2014 @ 11:15 AM - 12:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Andrew Lemieux, WILD LEO Project
Talk Title: The WILD LEO Project: Using Technology and Training to Increase the Effectiveness of Anti-Poaching Teams in Uganda
Series: CS Colloquium
Abstract: The WILD LEO Project is an attempt to provide anti-poaching teams with the technology and training necessary to undertake advanced intelligence gathering and analysis. The Wildlife Intelligence and Leadership Development (WILD) training protocols were specifically developed for Law Enforcement Officers (LEOs) in Queen Elizabeth Protected Area, Uganda. The WILD LEO team consists of foot patrol rangers, crime analysts, prosecutors and commanders.
Using digital cameras with integrated GPS units, the foot patrol rangers are creating a spatially referenced, photographic database of poaching activity. The crime analysts use these photos to prepare patrol coverage maps and maps of illegal activity to help commanders make informed deployment decisions. The geo-referenced photos are also used by the prosecution team as courtroom evidence to prove poachers were operating inside the protected area.
By design, The WILD LEO Project utilizes low-cost technology and open source software to ensure sustainability in law enforcement operations with limited budgets. This presentation will discuss the project’s implementation, initial findings, potential for expansion, and the utility of WILD LEO for interdisciplinary research.
Biography: Originally trained as a biochemist who studied diabetes, lung injury and space biology at the University of Arizona (BS 2005, MS 2006), Andrew switched disciplines after graduation to pursue his research interests in criminology. He completed his graduate studies at the Rutgers School of Criminal Justice (MA 2008, PhD 2011) where he studied a variety of topics including wildlife crime, visitor crime and time-based risk assessments of violence.
Poaching prevention is Andrew's main area of expertise and comprises the majority of his research agenda. He currently directs the WILD LEO Project in Queen Elizabeth and Murchison Falls National Parks in Uganda. This is an on-going collaboration with the Uganda Wildlife Authority and Uganda Conservation Foundation that uses technology and training to increase ranger efficiency with advanced intelligence gathering and analysis techniques. The goals of the project are to (a) give commanders better information for deployment decision making, (b) increase poacher apprehension and (c) increase poacher conviction rates.
Host: Teamcore Group
Location: Kaprielian Hall (KAP) - 156
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Find More Jobs & Internships: Viterbi connectSC Workshop
Tue, Feb 11, 2014 @ 04:00 PM - 05:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Come to this presentation to learn how to navigate Viterbi connectSC,a powerful job & internship search tool available ONLY to Viterbi students.
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: All Viterbi Students
Contact: RTH 218 Viterbi Career Services
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CS Colloquium: Jonathan Ullman (Harvard U): Privacy and the Complexity of Simple Queries
Tue, Feb 11, 2014 @ 04:00 PM - 05:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Jonathan Ullman, Harvard University
Talk Title: Privacy and the Complexity of Simple Queries
Series: CS Colloquium
Abstract: The goal of differentially private data analysis is to design algorithms for analyzing datasets while ensuring that sensitive information about individuals is not revealed. In this talk I will present both new lower bounds and new algorithms for differentially private data analysis. On the negative side, I will present some new, nearly-optimal lower bounds on the amount of data required to release differentially private statistics on high-dimensional datasets. These results show that there is a significant "price of differential privacy" in high-dimensional datasets. We prove these lower bounds using a cryptographic primitive called a fingerprinting code that we show is closely connected to differentially private data analysis. On the positive side, I will present efficient algorithms for computing differentially private contingency tables, using techniques from computational learning theory.
Biography: Jon Ullman is a postdoctoral fellow at the Center for Research on Computation and Society at Harvard University. He recently completed his Ph.D., also at Harvard, where he was advised by Salil Vadhan and was a Siebel Scholar. He is interested in the foundations of data privacy and its connections to other areas of theoretical computer science such as cryptography, learning theory, and game theory.
Host: David Kempe
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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VARC Workshop: Surviving Your GEs (Reading)
Tue, Feb 11, 2014 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Learn some important skills to help your navigate GEs! At this workshop, we will focus on improving your reading skills for those dense GE readings.
RSVP online at bit.ly/VARC_WorkshopsLocation: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Undergrad
Contact: Viterbi Academic Resource Center
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Symantec Corporation Information Session - CANCELLED
Tue, Feb 11, 2014 @ 05:30 PM - 07:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
This information session has been cancelled.
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Services
