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Events for March 01, 2010
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BME 533 Seminar Title: Bioengineering Bone
Mon, Mar 01, 2010 @ 12:30 PM - 01:50 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Ronke Olabisi, Ph.D., National Space Biomedical Research Institute Postdoctoral Fellow, Department of Bioengineering, Rice University, Houston, TX:
Location: Olin Hall of Engineering (OHE) - 132
Audiences: Graduate//Department Only
Contact: Mischalgrace Diasanta
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Nanoelectronics: Technology Assessment and Projection at the Device, Circuit and System level
Mon, Mar 01, 2010 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Presented by Lan WeiAbstract:
Nowadays, physical gate length can no longer be effectively scaled down and traditional boosters (e.g., strain, high-k/metal gate) are exhibiting diminishing returns on performance improvement. Continued progress in nanoelectronics necessitates a holistic view across the boundaries of device, circuit and system domains. The best devices are those that are optimized for the circuits and systems of the target application. Device design and engineering must aim at improvements at the circuit and system levels.
In this talk, the design space is explored for future Si CMOS technology and for carbon nanotube field effect transistors, a promising technology in the post-Si era. Compact models for transport properties and capacitive components of different device structures have been developed to facilitate circuit-level analysis and system-level optimization. Possible ways of extending the technology roadmap are proposed. We propose scenarios of selective device structure scaling that will enable Si CMOS technology scaling for several generations beyond the currently perceived limits. Beyond Si CMOS scaling, carbon nanotube field effect transistors (CNFETs) are optimized and projected to achieve 5x chip-level speed up over PDSOI at 11 nm technology node for a high-performance four-core processor with 1.5M logic gates. Biography:
Lan Wei received her B. S. in Microelectronics and Economics from Peking University in 2005 and M. S. in Electrical Engineering from Stanford University in 2007. She is currently a Ph. D. candidate in Electrical Engineering at Stanford University, under the supervision of Prof. H. –S. Philip Wong in the Stanford Nanoelectronics Group. Her Ph.D. research focuses on technology scaling with a holistic view across the traditional boundaries of device, circuit, and system domains, as well as integrated bio-systems and biomedical devices. She worked as a research intern at Intel (2006), IBM Research (2007), STMicroelectronics (2008), and Grenoble Institute of Technology (2008). She has contributed to the PIDS (Process Integration, Devices, and Structures) Chapter of ITRS (International Technology Roadmap for Semiconductors) 2009 Edition. Lan Wei was a recipient of a number of awards, including Stanford Graduate Fellowship (2005-2009).
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Hazel Xavier
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CS Colloq: Dr. Julia Stoyanovich
Mon, Mar 01, 2010 @ 03:30 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Talk Title: BARAC: An Effective Presentation of Ranked Structured Datasets
Speaker: Dr. Julia Stoyanovich, University of Pennsylvania
Host: Prof. Cyrus ShahabiAbstract:
In online applications such as Yahoo! Personals and Yahoo! Real Estate users define structured profiles in order to find potentially interesting matches. Typically, profiles are evaluated against large datasets and produce thousands of matches. In addition to filtering, users also specify ranking in their profile, and matches are returned in the form of a ranked list. Top results in a ranked list are often homogeneous, which hinders data exploration. For example, a user looking for 1- or 2-bedroom apartments sorted by price will see a large number of cheap 1- bedrooms in undesirable neighborhoods before seeing any apartments with different characteristics. An alternative to ranking is to group matches on common attribute values (e.g., cheap 1-bedrooms in good neighborhoods, 2-bedrooms with 2 baths, etc.). However, not all groups will be of interest to the user given his ranking criteria. We argue here that neither single-list ranking norattribute-based grouping is adequate f or effective exploration of ranked datasets. We formalize rank- aware clustering and develop BARAC, a novel clustering algorithm that enables rank-aware data exploration in domains with a large number of heterogeneous attributes. We present results of a large- scale user study that validate the effectiveness of our approach.
We extensively evaluate the performance of our algorithm over large datasets from Yahoo! Personals, a leading online dating site.
Joint work with Sihem Amer-Yahia.Bio:
Julia Stoyanovich is a Postdoctoral Researcher and a Computing Innovations Fellow at the University of Pennsylvania. Julia holds M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics and Statistics from the University of Massachusetts at Amherst. After receiving her B.S. Julia went on to work for two start-ups and one real company in New York City, where she interacted with a variety of massive datasets.
Julia's industry experience convinced her that many practical data management challenges remain to be tackled, and that she does not like to wake up early in the morning, prompting her return to academia.
Julia's research focuses on improving search, ranking, and data exploration in semantically rich application domains. She is particularly excited about the challenges that arise in life sciences applications and in social information processing.
Location: Ronald Tutor Hall of Engineering (RTH) - 306
Audiences: Everyone Is Invited
Contact: CS Front Desk
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RAND Information Session
Mon, Mar 01, 2010 @ 05:00 PM - 07:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
RAND researchers Sean Bednarz, M.S. Aero. Eng., Keith Henry, M.B.A., M.S.E.E., and Lida Jennings, M.B.A., Ed.D., will be hosting an information session on Monday, March 1, 2010, 5-7 p.m.in Room 106 of Grace Ford Salvatori (GFS). Light refreshments will be served.This is a great, informal opportunity for students to learn about not only educational opportunities at the Pardee RAND Graduate School which offers Ph.D.s in Policy Analysis, but also summer and full-time research opportunities in public policy at RAND.
Location: Grace Ford Salvatori (GFS) 106
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Services
