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Events for April 13, 2016
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The Fundamental Limits of Data and Metadata Privacy
Wed, Apr 13, 2016 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Peter Kairouz, University of Illinois at Urbana-Champaign
Talk Title: The Fundamental Limits of Data and Metadata Privacy
Abstract: With the ability to surf the web efficiently comes the danger of being monitored. There is an increasing tension between the need to share data and the need to preserve the privacy of Internet users. The need for privacy appears in two main contexts: the data privacy context, as in when individuals want to share their personal data with a potentially malicious service provider or when a trusted service provider wants to release sensitive information about individuals, and the metadata privacy context, as in when individuals want to broadcast information on a social network without the fear of being judged by friends, the public or authorities.
In the metadata privacy context, anonymity is achieved by controlling the way information spreads over a network. In the first half of my talk, I will introduce a novel anonymous messaging protocol (called adaptive diffusion) and show that it spreads a message quickly over a network while "perfectly" hiding authorship information from a powerful adversary with global access to metadata.
In the data privacy context, privacy is achieved by randomizing the data before releasing it. This leads to a fundamental trade-off between privacy and utility. In the second half of my talk, I will present a new class of privacy mechanisms (called staircase mechanisms) and show that they achieve the optimal privacy-utility trade-off under various settings of interest.
Biography: Peter Kairouz is a PHD student at the University of Illinois at Urbana-Champaign. For his masters, he was mainly interested in signal processing and digital communications. He interned twice at Qualcomm (in 2012 and 2013), and was awarded The 2012 Roberto Padovani Scholarship from Qualcomm's Research Center. For his PhD, he chose to work on data and metadata privacy, winning the Best Paper Award at ACM SIGMETRICS 2015. He recently interned at Google, where he designed privacy-aware machine learning algorithms. His primary research interests include privacy enhancing technologies, machine learning, and wireless communications.
Host: Professor Rahul Jain
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Suzanne Wong
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Algorithms for Parameter Estimation in Quantitative MRI
Wed, Apr 13, 2016 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Marcus Björk, PhD, Division of Systems & Control, Uppsala University
Talk Title: Algorithms for Parameter Estimation in Quantitative MRI
Series: Medical Imaging Seminar Series
Abstract: Through advanced signal processing, MRI can provide quantitative measures of tissue-specific physical properties. The optimization problems solved in quantitative MRI are typically nonlinear, and require intelligent and application-specific algorithms to avoid suboptimal local minima. In this presentation, several methods for efficiently solving different parameter estimation problems in MRI, such as multi-component T2 relaxometry, and minimizing banding artifacts in bSSFP MRI due to field inhomogeneity, are presented. Finally, I will present some interesting problems for the future. The corresponding PhD thesis is available at:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-246537
Biography: Dr. Marcus Bjork is a Researcher in the division of Systems and Control at Uppsala University, in Professor Peter Stoica's group. He defended his PhD thesis last year. His main field of research is signal processing, with application to Magnetic Resonance Imaging (MRI). By modeling the MR signal and estimating the model parameters from data, measures of tissue-specific physical properties can be obtained. The optimization problems solved are typically nonlinear, and require intelligent and application-specific algorithms to avoid suboptimal local minima. Designing such algorithms is a challenging research problem.
Host: Professor Krishna Nayak
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
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Computer Science General Faculty Meeting
Wed, Apr 13, 2016 @ 12:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
Receptions & Special Events
Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.
Location: Ronald Tutor Hall of Engineering (RTH) - 526
Audiences: Invited Faculty Only
Contact: Assistant to CS chair
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Programming with MATLAB
Wed, Apr 13, 2016 @ 01:00 PM - 03:30 PM
USC Viterbi School of Engineering
Workshops & Infosessions
MATLAB is a high-level language that includes mathematical functions for solving engineering and scientific problems. You can produce immediate results by interactively executing commands one at a time. MATLAB also provides features of traditional programming languages, including flow control, error handling, and object-oriented programming (OOP). Attend this session to learn more about programming capabilities in MATLAB and to learn how to be more productive working with MATLAB.
View the complete session description and register at: https://mathworks.com/USC/April2016
Location: Ronald Tutor Hall of Engineering (RTH) - 105
Audiences: Everyone Is Invited
Contact: Michael Goay
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Analytic Reconstructions for MEG and EEG (Lecture II)
Wed, Apr 13, 2016 @ 04:00 PM - 05:20 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Thanasis Fokas, Department of Applied Mathematics and Theoretical Physics, University of Cambridge & Department of Electrical Engineering, University of Southern California
Talk Title: Analytic Reconstructions for MEG and EEG (Lecture II)
Series: Three Part Lecture Series
Abstract: Analytical reconstructions as well as appropriate mnumerical implementations for the important imaging techniques of Magneto-encephalography (MEG) and Electro-ecephalography (EEG) will be reviewed. The numerical implementations of MEG and EEG are based on state of the art codes for the numerical evaluation of certain auxiliary functions appearing in the relevant analytical formulae. The effectiveness of reconstructions of the neuronal current using either real EEG or real MEG data will be demonstrated.
Biography: Thanasis Fokas, Chair of Nonlinear mathematical science at the University of Cambridge and Visiting Professor of Electrical Engineering here at USC, will give a series of lectures on Magneto-Electro-Encephalography, which will be introduced by Professor Richard Leahy. The work of Thanasis FOKAS and collaborators has resolved completely the following important question in this area that was open since the fundamental work of Helmohltz: which part of the neuronal current can be computed from the knowledge of either MEG or EEG data?
Next and last scheduled lecture in this series:
-Lecture III: Mon., April 18, 2016, 4:00 - 5:20PM, EEB 132
Host: Richard Leahy
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
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Northrop Grumman Corporation Info Session
Wed, Apr 13, 2016 @ 05:30 PM - 07:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Northrop Grumman is a leading global security company providing innovative systems, products and solutions in unmanned systems, cyber, C4ISR, and logistics and modernization to government and commercial customers worldwide.
More Information: Northrop Grumman Flyer.pdf
Location: Seeley G. Mudd Building (SGM) - SGM 101
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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Remote Sensing with Multiple Satellite Sensors for Interdisciplinary Science Investigation of Arctic Sea Ice and Halogen Chemical Processes
Wed, Apr 13, 2016 @ 05:30 PM - 07:30 PM
Viterbi School of Engineering Student Organizations
University Calendar
Interested in geosciences and/or remote sensing? The local section of the IEEE Geosciences and Remote Sensing Society Chapter invites you to our first meeting of the year at 5:30pm on Wed 13-Apr-2016 on the Caltech campus in Pasadena. In this distinguished lecture event, Dr Son Nghiem of JPL will talk about remote sensing with multiple satellite sensors for interdisciplinary science investigation of Arctic sea ice and halogen chemical processes. The event is also an opportunity to get to know engineers from JPL, local industry, and other local universities. For details please see .
More Information: 2016-GRSS-4-13-16-AGENDA_v2.pdf
Location: Sharp Lecture Hall Caltech Campus Pasadena, California
Audiences: Everyone Is Invited
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Remote Sensing with Multiple Satellite Sensors for Interdisciplinary Science Investigation of Artic Sea Ice and Halogen Chemical Processes Dr. Son V. Nghiem, Jet Propulsion Laboratory
Wed, Apr 13, 2016 @ 05:30 PM - 07:30 PM
Viterbi School of Engineering Student Organizations
Conferences, Lectures, & Seminars
Speaker: Son V. Nghiem, Jet Propulsion Laboratory, Dr.
Talk Title: Remote Sensing with Multiple Satellite Sensors for Interdisciplinary Science Investigation of Artic Sea Ice and Halogen Chemical Processes
Abstract: Interested in geosciences and/or remote sensing? The local section of the IEEE Geosciences and Remote Sensing Society Chapter invites you to our first meeting of the year at 5:30pm on Wed 13-Apr-2016 on the Caltech campus in Pasadena. In this distinguished lecture event, Dr Son Nghiem of JPL will talk about remote sensing with multiple satellite sensors for interdisciplinary science investigation of Arctic sea ice and halogen chemical processes. The event is also an opportunity to get to know engineers from JPL, local industry, and other local universities. For details please see http://sites.ieee.org/metrola-grss
Host: IEEE METROPOLITAN LOS ANGELES SECTION GEOSCIENCE AND REMOTE SENSING SOCIETY (GRSS) CHAPTER
More Information: 2016-GRSS-4-13-16-AGENDA_v2.pdf
Location: Sharp Lecture Hall, 155 Arms Laboratory Caltech Campus Pasadena, California
Audiences: Everyone Is Invited
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ASBME GM 10: The Biomedical Cowgirl
Wed, Apr 13, 2016 @ 07:00 PM - 08:00 PM
Viterbi School of Engineering Student Organizations
University Calendar
With hair dyed blue and pink, stand-out clothes, and an eccentric personality, Samantha Huynh is not your typical biomedical engineer. She's done everything from racing cars in the desert, working at Tesla, and SpaceX, and now researching on ways to build better exoskeletons for those who can't walk. Don't miss out on this opportunity to come to ASBME's GM 10 to listen to her fascinating story, her research, and maybe absorb some of her swagger by simply being in her presence. As always, free food will be provided in the form of delicious Chik-Fil-A entrees!
Location: Kaprielian Hall (KAP) - 156
Audiences: Everyone Is Invited