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Events for August 23, 2013
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EE Graduate Placement Exams
Fri, Aug 23, 2013 @ 09:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Student Activity
Exam Times
9:00 - 9:50 AM
EE-477
10:00 - 11:00 AM
EE-450
10:00 - 11:00 AM
EE-457
11:10 - 12:00 PM
EE-441
11:10 - 12:00 PM
EE-479
Register to take the exam(s) here:
Placement Exam InfoLocation: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Graduate
Contact: Diane Demetras
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AI SEMINAR
Fri, Aug 23, 2013 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Xiaoran Yan, University of New Mexico
Talk Title: Variational Inference of Community Models: A Unifying Learning Framework
Series: AISeminar
Abstract: Community detection is an important part of network modelling, as community structure offers clues to the processes which generated the networks. We propose a general variational framework for learning community based network models, which offers a range of approximation options. In particular, a message passing algorithm under this framework achieves a good balance between accuracy and scalability. The framework is closely related to many other popular algorithms for community detection, including random walk and spectral clustering. To showcase an application, we will study the model selection problem for stochastic block models, in which the framework is adapted to learn information theoretic measures for comparing candidate models.
Biography: Xiaoran Yan is a computer science Ph.D. candidate at the University of New Mexico. He also works as a graduate fellow at the Santa Fe Institute under the advisement of Cris Moore. His work focus on community detection on complex networks, including building statistical models and developing scalable learning algorithms. He has recently defended his dissertation on model selection for stochastic block models. He got his bachelor's degree at the Zhejiang University in China.
Host: Kristina Lerman
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=8013c24dbbde4b42ba0f10da844fe2621dLocation: Information Science Institute (ISI) -
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=8013c24dbbde4b42ba0f10da844fe2621d
Audiences: Everyone Is Invited
Contact: Alma Nava / Information Sciences Institute
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USC Physical Sciences in Oncology Center Monthly Seminar Series
Fri, Aug 23, 2013 @ 11:45 AM - 01:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Shay Soker, PhD., Professor, Institute for Regenerative Medicine, Wake Forest University
Talk Title: Progress and Prospects for Organ Regeneration
Abstract: Regenerative medicine and tissue engineering aim at repairing and/or replacing human tissues and organs in order to restore or establish normal function. Only in the last two decades regenerative medicine showed the potential for "bench-to-bedside" translational research in specific clinical settings. The process of regeneration may occur in vivo and/or ex vivo, and employs different technologies and methods where cells, natural or artificial scaffolds (namely, biomaterial-based constructs able to mimic the functions of the innate extracellular matrix [ECM] in order to induce three-dimensional tissue formation), growth factors, or combinations of all three elements are joined together. Tissue engineering, is mostly refers to the process of manufacturing cells, tissues and organs exclusively ex vivo.
Bioengineering solid organs destined to clinical transplantation is more complex and challenging. These organs organized in functioning units referred to as modules and requiring the reconstruction of the vascular supply. Recent attempts to translate solid organ engineering into the clinical arena indicate that it holds the promise of providing a formidable therapeutic tool for a myriad of diseases. Creation of custom-made bioengineered organs, where the cellular component is exquisitely autologous and have an internal vascular network, will theoretically overcome the two major hurdles in transplantation, namely the shortage of organs and the toxicity deriving from lifelong immunosuppression.
Biography: USC was selected to establish a $16 million cancer research center as part of a new strategy against the disease by the U.S. National Institutes of Health and its National Cancer Institute. The new center is one of 12 in the nation to receive the designation. During the five-year initiative, the Physical Sciences-Oncology Centers will take new, nontraditional approaches to cancer research by studying the physical laws and principles of cancer; evolution and the evolutionary theory of cancer; information coding, decoding, transfer and translation in cancer; and ways to de-convolute cancer's complexity. As part of the outreach component of this grant, the Center for Applied Molecular Medicine is hosting a monthly seminar series.
Host: USC Physical Sciences in Oncology Center
More Information: USC-PSOC_MonthlySeminar Soker.pdf
Location: Clinical Science Center (CSC) - Harkness Auditorium
Audiences: Everyone Is Invited
Contact: kristina gerber
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New Student Welcome
Fri, Aug 23, 2013 @ 12:15 PM - 02:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Student Activity
Please join the Ming Hsieh Department of Electrical Engineering's New EE Graduate Student Welcome. New MS and PhD students are invited.
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Department Only
Contact: Diane Demetras
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NL Seminar-Jonathan May: "Models of Translation Competitions"
Fri, Aug 23, 2013 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Jonathan May, SDL- Language Weaver
Talk Title: "Models of Translation Competitions (long paper at ACL2013)"
Series: Natural Language Seminar
Abstract: What do we want to learn from a translation competition and how do we learn it with confidence? We argue that a disproportionate focus on ranking competition participants has led to lots of different rankings, but little insight about which rankings we should trust. In response, we provide the first framework that allows an empirical comparison of different analyses of competition results. We then use this framework to compare several analytical models on data from the Workshop on Machine Translation (WMT).
Biography: http://www.jonmay.net/
Host: Yang Gao
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/
