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SUNMONTUEWEDTHUFRISAT
Events for December 05, 2008
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Bay Area - Freshmen Admission Interviews
Fri, Dec 05, 2008
Viterbi School of Engineering Undergraduate Admission
Receptions & Special Events
Viterbi Admission representatives Paul Ledesma, Julie Samere, and Christine Hsieh will be in the area conducting Admission Interviews for those students interested.Freshman applicant interviews are not required as part of the admission process, however we would like to meet as many of our applicants as possible. All interview appointments are scheduled online.Learn more about Interviews: http://viterbi.usc.edu/admission/freshman/interviews/Schedule an Off-Campus Interview: http://www.usc.edu/admissioninterviews
Audiences: Freshmen Applicants for Fall 2009
Contact: Viterbi Admission
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Meet USC
Fri, Dec 05, 2008
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
This half day program is designed for prospective freshmen and family members. Meet USC includes an information session on the University and the Admission process; a student led walking tour of campus and a meeting with us in the Viterbi School. Meet USC is designed to answer all of your questions about USC, the application process and financial aid.Reservations are required for Meet USC. This program occurs twice, once at 9:00 a.m. and again at 12:00 p.m. Please visit http://www.usc.edu/admission/undergraduate/visit/meet_usc.html to check availability and make an appointment. Be sure to list an Engineering major as your "intended major" on the webform!
Location: USC Admission Center
Audiences: Prospective Freshmen and Family Members - RESERVATIONS REQUIRED
Contact: VSoE Undergraduate Admission
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Distributed Anomaly Detection for Wireless Sensor Networks
Fri, Dec 05, 2008 @ 11:30 AM - 12:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Dr. Chris Leckie
Department of Computer Science and Software Engineering
University of Melbourne
Abstract:
Identifying misbehaviors is an important challenge for monitoring, fault
diagnosis and intrusion detection in wireless sensor networks. A key
problem is how to minimize the communication overhead and energy
consumption in the network when identifying misbehaviors. We treat this as
a problem of distributed unsupervised learning, where the aim is to build
and combine compact representations of normal behaviour based on the local
measurements from each sensor. These models can be based on
hyperellipsoidal, cluster-based or kernel-based representations. A key
objective is to minimize the communication overhead required to share
these models of normal behaviour between sensor nodes. We demonstrate on
data from real-life sensor networks that our scheme achieves comparable
accuracy compared to equivalent centralized approaches while achieving a
significant reduction in communication overhead.
Bio:
Dr Chris Leckie is an Associate Professor in the Department of Computer
Science and Software Engineering at the University of Melbourne,
Australia. He has made numerous theoretical contributions to the use of
clustering for problems such as anomaly detection in wireless sensor
networks and the Internet. In particular, he has developed efficient
clustering techniques that are specifically designed to cope with highdimensional
and time-varying data streams, which are a major challenge in
network intrusion detection. His work on filtering denial-of-service
attacks on the Internet has been commercialized with an Australian company
(IntelliGuard I.T.), leading to a commercial product. His research has
been published in leading journals and conferences such as ACM Computing
Surveys, IEEE TKDE, Artificial Intelligence, IJCAI and ICML.
Host: Bhaskar Krishnamachari ext. 12528Location: Frank R. Seaver Science Center (SSC) - 319
Audiences: Everyone Is Invited
Contact: B.Krishnamachari
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RAND Corp Campus Visit
Fri, Dec 05, 2008 @ 12:00 PM - 01:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Workshops & Infosessions
The RAND Corporation has openings for doctoral students for both summer internships and full-time positions. Â RAND is a nonprofit institution that helps improve policy and decision making through research and analysis (see http://www.rand.org). Â Engineering staff members at RAND bring their technical approach and insights to bear on a wide range of problems across RAND's defense, domestic, and international research agendas. Â The positions require a background in engineering, physics, math or computer science, and given the nature of RAND's work, a strong interest in public policy.All research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively in English, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity. Â A PhD in engineering is typically required for engineering staff positions. Â The Summer Associate Program is geared toward students who have completed two years of their Ph.D. program, offering them a paid internship at one of our three RAND offices in the U.S.RAND is planning a visit to USC on Friday December 5 at 12 Noon in EEB 248. Details will be forthcoming.For more information, please contact:
Sean Bednarz, Associate Engineer, RAND, email: sbednarz@rand.org
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: AME/CS/EE Graduate Students
Contact: Mayumi Thrasher
