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Events for March 04, 2016
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PhD Visit Day, 2016
Fri, Mar 04, 2016
Thomas Lord Department of Computer Science
Receptions & Special Events
Event details will be distributed closer to the date.
Audiences: Registration Required
Contact: Assistant to CS chair
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W.V.T. Rusch Engineering Honors Program Colloquium
Fri, Mar 04, 2016 @ 11:00 AM - 12:00 PM
USC Viterbi School of Engineering, Viterbi School of Engineering Student Affairs
University Calendar
Join us for a presentation by Kent Kellog, from the Jet Propulsion Laboratory, titled, "NASA's Soil Moisture Active Passive Mission."
Location: Seeley G. Mudd Building (SGM) - 123
Audiences: Everyone Is Invited
Contact: Ramon Borunda/Academic Services
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EE-EP Seminar - Jun-Chau Chien, Friday, March 4th in EEB 132 at 2:00pm
Fri, Mar 04, 2016 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jun-Chau Chien, University of California, Berkeley
Talk Title: mm-Wave Lab-on-CMOS: Electromagnetic Sensing from Micro-to Nano-scales
Abstract: Lab-on-CMOS is an emerging platform for Point-of-Care diagnostics and precision medicine. By directly integrating active CMOS electronics into passive Lab-on-Chip devices, the new System-on-Chip not only offers ultimate device miniaturization but also enables highly integrated multiphysics biosensing and actuation. This research addresses the challenges in such a hybrid system while embracing the opportunities in system co-design to achieve improved sensing performance that leads to new scientific findings.
In this talk, I will present my research on a Lab-on-CMOS dielectric spectrometer for single-cell analysis using near-field sensing at millimeter-wave (mm-Wave) frequencies. The aim is to understand the wideband electromagnetic signatures at cellular and molecular levels and to open its way for real-time and label-free medical diagnostics and biological studies. I will focus on innovations in circuits, systems, microfluidics, and calibration techniques to enable a capacitance equivalent sensitivity limit of sub-aF, suitable for large-scale characterization of single-cell dielectric spectroscopy (6.5 ~ 30 GHz) in the setting of high-throughput flow cytometry. The capability of cell sorting based on frequency dispersion is demonstrated with the measurements of human breast cancer cells. In addition to electromagnetic sensing, I will introduce multiphysics actuation techniques to quantify the mechanical property of the cells. Specifically, the system measures the deformation of cells using hydrodynamic stretching. I will also discuss the challenges in sensing toward nano-scales and sub-THz frequencies and present an on-chip single-element electronic calibration (E-Cal) technique for nano-device measurements. In the end, I will conclude my talk with Lab-on-CMOS technology for new applications in sensing, imaging, and communication.
Biography: Jun-Chau Chien received the B.S. and M.S. degrees in Electrical Engineering from National Taiwan University in 2004 and 2006, respectively, and the Ph.D. degree in Electrical Engineering and Computer Sciences from University of California, Berkeley, in 2015. He is currently a post-doctoral research associate at University of California, Berkeley. He has held industrial positions at InvenSense, Xilinx, and HMicro working on mixed-signal integrated circuits for inertial sensors and wireline/wireless transceivers. He is broadly interested in innovative biotechnology for point-of-care diagnostics and medical imaging with emphasis on silicon-based approaches.
Dr. Chien is the recipient of the 2006 Annual Best Thesis Award from Graduate Institute of Electronics Engineering, National Taiwan University, the 2007 International Solid-State Circuit Conference (ISSCC) Silkroad Award, the co-recipient of 2010 IEEE Jack Kilby Award for ISSCC Outstanding Student Paper, the 2014 Analog Devices Outstanding Design Award, the 2014 Microwave Theory and Techniques Society (MTT-S) Graduate Fellowship for Medical Applications, the 2014 Solid-State Circuit Society (SSCS) Predoctoral Achievement Award, and the 2014 UC Berkeley Outstanding Graduate Student Instructor Award.
Host: EE-Electrophysics
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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NL Seminar-Linguistic Annotation Using Video Games with a Purpose
Fri, Mar 04, 2016 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: David Jurgens, Stanford University
Talk Title: Linguistic Annotation Using Video Games with a Purpose
Series: Natural Language Seminar
Abstract: Building systems that understand human language often requires access to large amounts of text annotated with all the features and nuances of human communication. However, building these annotated corpora is often prohibitive due to the time, cost, and expertise required to annotate. While crowdsourcing the work can help, untrained workers still incur costs and the workers may not be as motivated to answer correctly. In this talk, I will describe how to solve this annotation bottleneck using video games in which traditional annotation tasks are transformed into core video game mechanics and embedded in the kinds of games you might play on your mobile phone. Our video games are not only fun to play but are capable of annotating a wide variety of linguistic phenomena at costs lower that crowdsourcing and have quality equal to that of experts. Using four games, I will demonstrate how their creation process can be distilled into reusable design patterns to create new games for different types of tasks in linguistics and beyond.
Biography: David Jurgens is postdoctoral scholar in the department of Computer Science at Stanford University. He received his PhD in Computer Science from UCLA in 2014 and has been a visiting researcher at HRL Laboratories, research scientist at Sapienza University of Rome and postdoctoral scholar at McGill University. His research focuses on two areas: natural language processing, where he works on new methods for understanding the meaning of text, and computational social science where he investigates population dynamics through peoples' language and demographics. He is currently a co-chair of the International Workshops on Semantic Evaluation (SemEval) and of the workshop on Natural Language Processing and Computational Social Science. His research has been featured in Forbes, MIT Technology Review, Business Insider, and Schneier on Security.
Host: Xing Shi and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
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PhD Seminar
Fri, Mar 04, 2016 @ 03:00 PM - 04:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Rebecca Peer, Environmental Engineering PhD Candidate, University of Southern California
Talk Title: Spatiotemporal analysis of environmental trade-offs in electricity generation
Abstract: The US power sector is a leading contributor of emissions that affect air quality and climate. It also requires a lot of water for cooling thermoelectric power plants. Although these impacts affect ecosystems and human health unevenly in space and time, there has been very little quantification of these environmental trade-offs on decision-relevant scales. This work quantifies hourly water consumption, emissions (i.e. carbon dioxide, nitrogen oxides, and sulfur oxides), and marginal heat rates for 252 electric generation units (EGUs) in the Electric Reliability Council of Texas (ERCOT) region in 2011 using a unit commitment and dispatch model (UC&D). Annual, seasonal and daily variations, as well as spatial variability are assessed. When normalized over the grid, hourly average emissions and water consumption intensities (i.e. output per MWh) are found to be highest when electricity demand is the lowest, as baseload EGUs tend to be the most water and emissions intensive. Results suggest that a large fraction of emissions and water consumption are caused by small number of power plants, mainly baseload coal-fired generators. Replacing 8-10 existing units with modern natural gas combined cycle units would result in reductions of 19-29%, 51-55%, 60-62%, and 13-27% in CO2 emissions, NOx emissions, SOx emissions, and water consumption, respectively, across the ERCOT region for two different conversion scenarios.
Host: Kelly Sander
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: Kaela Berry
