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Events for November 04, 2016
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Women in Science & Engineering Preview Day for Prospective PhD students
Fri, Nov 04, 2016 @ 09:30 AM - 03:30 PM
Mork Family Department of Chemical Engineering and Materials Science
Receptions & Special Events
Women in Science and Engineering (WISE) Preview Day is the Viterbi School's open house event for students interested in pursuing their doctoral degree at one of the top ranked graduate engineering institutions in the nation.
For registration and additional info: WISE-Preview Day
Location: Ronald Tutor Campus Center (TCC) -
Audiences: Everyone Is Invited
Contact: Aleessa Atienza
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AI Seminar-The Crisis in Statistics and the Reliability of Published Results
Fri, Nov 04, 2016 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Alan Garfinkel, UCLA
Talk Title: The Crisis in Statistics and the Reliability of Published Results
Series: Artificial Intelligence Seminar
Abstract: Medicine and biology are currently in a crisis. Many if not most published studies contain false or irreproducible information, and articles have appeared in major journals with titles like, Why Most Published Research Findings Are False.
A major contributor to this crisis is Bad Statistics. A large fraction of published papers use statistical methods that are simply wrong. The most frequent error is the use of formula-based statistical tests, like t-tests, regression, ANOVA etc. to give p values on data for which they cannot be used, because the data is either markedly non-Gaussian or too small to tell. These p-value calculation errors are currently being addressed by major journals, which have recently greatly tightened their statistical reviewing, and are insisting upon appropriate statistical methods, such as resampling-based test for non-Gaussian data.
But a much deeper criticism focuses on the very idea of p-values, however calculated. Many respected sources are calling for an end to p-values as the test for publishability. Phenomena like p-hacking are common, and advanced thinking now holds that the very idea of p-values is the problem. Several journals are now refusing to accept p-values as evidence of the existence of a phenomenon, and even the American Statistical Association has issued warnings about p-values.
We will review the situation, assess the extent of the damage, and discuss proposed fixes for this serious problem.
Biography: Dr. Garfinkel graduated from Cornell and received his PhD from Harvard in philosophy and mathematics. He is particularly interested in nonlinear dynamics and its applications to medicine.
Host: Gully Burns
Webcast: http://webcastermshd.isi.edu/Mediasite/Play/00f1e452277f416186bf9b6743e650131dLocation: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
WebCast Link: http://webcastermshd.isi.edu/Mediasite/Play/00f1e452277f416186bf9b6743e650131d
Audiences: Everyone Is Invited
Contact: Peter Zamar
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W.V.T. Rusch Engineering Honors Program Colloquium
Fri, Nov 04, 2016 @ 01:00 PM - 01:50 PM
USC Viterbi School of Engineering
University Calendar
Join us for a presentation by Alexander Schaerli, Associate Director - Marketing Sciences at Mindshare, titled "Data Science in Media."
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Julie Phaneuf
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Biomedical Engineering Speakers
Fri, Nov 04, 2016 @ 02:00 PM - 04:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Neda Jahanshad, Assistant Professor of Neurology, Laboratory of Neuro Imaging, USC Keck School of Medicine
Talk Title: The Genetics of Human Structural Brain Connectivity
Abstract: Approximately half the variability in the gross structure of the human brain is influenced by genetics. Yet, the brain operates as a network, with adjacent and distal regions of the brain being physically connected to varying degrees. These connections, or perhaps misconnections in the brain, not only have the potential to cause miscommunication of information in the brain and put the brain at risk for diseases, they are too partially driven by common genetic differences. Discovery of genes that help influence brain structure may help target treatments and therapies. Using structural MRI as well as diffusion weighted imaging scans and analyses methods, we are able to model these connections and make inferences on the connectivity profile itself and topological aspects of the network. However, in order to identify and discover specific loci within our genomes that may explain less than one percent of the population variance in the degree of the brain's richly informative connectivity patterns, an extremely high degree of statistical power is needed. This power is readily achieved with large sample sizes, however such power is not seen in any single imaging study to date. We therefore need to reliably pool together inferences from brain scans from around the world, harmonizing much of the analysis procedure and ensuring the precision and reliability of the connectomic measures we evaluate. Here, we will further discuss the challenges that face the imaging genetics community, and potential advances that may be brought forth with biomedical engineering approaches.
Host: Brent Liu, PhD
Location: Corwin D. Denney Research Center (DRB) - 146
Audiences: Everyone Is Invited
Contact: Mischalgrace Diasanta
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Munushian Seminar - Philip Wong, Friday, November 4th in EEB 132 at 2:00pm
Fri, Nov 04, 2016 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Philip Wong, Stanford University
Talk Title: Computing Performance: N3XT 1,000x
Abstract: 21st century information technology (IT) must process, understand, classify, and organize vast amount of data in realtime.
21st century applications will be dominated by memory-centric computing operating on Tbytes of active data with little
data locality. At the same time, massively redundant sensor arrays sampling the world around us will give humans the perception
of additional "senses" blurring the boundary between biological, physical, and cyber worlds. Abundant-data processing, which
comprises real-time big-data analytics and the processing of perceptual data in wearable devices, clearly demands computation
efficiencies well beyond what can be achieved through business as usual.
The key elements of a scalable, fast, and energy-efficient computation platform that may provide another 1,000x in computing
performance (energy-execution time product) for future computing workloads are: massive on-chip memory co-located with highly
energy-efficient computation, enabled by monolithic 3D integration using ultra-dense and fine-grained massive connectivity. There
will be multiple layers of analog and digital memories interleaved with computing logic, sensors, and application-specific devices.
We call this technology platform N3XT - Nanoengineered Computing Systems Technology. N3XT will support computing
architectures that embrace sparsity, stochasticity, and device variability.
In this talk, I will give an overview of nanoscale memory and logic technologies for implementing N3XT. I will give examples of
nanosystems that have been built using these technologies, and provide projections on their eventual performance.
Biography: H.-S. Philip Wong is the Willard R. and Inez Kerr Bell Professor in the School of
Engineering. He joined Stanford University as Professor of Electrical Engineering in September,
2004. From 1988 to 2004, he was with the IBM T.J. Watson Research Center.
At IBM, he held various positions from Research Staff Member to Manager and Senior Manager.
While he was Senior Manager, he had the responsibility of shaping and executing IBM's strategy
on nanoscale science and technology as well as exploratory silicon devices and semiconductor
technology.
Professor Wong's research aims at translating discoveries in science into practical technologies.
His works have contributed to advancements in nanoscale science and technology, semiconductor
technology, solid-state devices, and electronic imaging.
Host: EE-Electrophysics
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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Astani Civil and Environmental Engineering Seminar
Fri, Nov 04, 2016 @ 03:00 PM - 04:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Clemens Heitzinger, Ph.D., Institute for Analysis and Scientific Computing, Technical University Vienna
Talk Title: Stochastic PDEs, Multiscale Problems, and Optimal Numerical Methods
Abstract: See attachment
More Information: CEE Seminar_ Clemens Heitzinger.docx
Location: John Stauffer Science Lecture Hall (SLH) - 102
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
