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Event Information

Title: CS 201: Computational Neuroinformatics: Challenges, Methods, & Tools, IVO D. DINOV, PhD, Laboratory of Neuro Imaging, Center for Computational Biology, Department of Statistics, David Geffen School of Medicine, UCLA
Date:Thursday, November 18, 2010
Time:4:15 p.m. - 5:45 p.m.
Calendar:Seminars
Contact:Edna Todd
 
Complete Description
**Refreshments at 4:00pm, Program at 4:15**


Computational Neuroinformatics: Challenges, Methods, & Tools

Ivo D. Dinov, PhD
Laboratory of Neuro Imaging, Center for Computational Biology, Department of Statistics, David Geffen School of Medicine, UCLA




Abstract:

Contemporary Neuroinformatics employs multidisciplinary approaches to address challenging biomedical problems using heterogeneous data, e.g., imaging, phenotype and genotype. The Neuroinformatics community needs novel mathematical approaches, robust computational algorithms and efficient hardware infrastructure that enable modeling, analysis and visualization of data and results in large-scale studies. There is a significant push for developing, validating, integrating and distributing diverse computational resources and distributed web-services for processing, analyzing and visualizing large amounts of diverse data. This talk will discuss specific neuroimaging challenges, mathematical modeling and statistical techniques, computational infrastructure, and research findings based on brain development and aging data. Examples will include classification of spatially unaligned fMRI data, brain tissue classification, computational brain atlasing, spectral and PDE based shape representations, Bayesian network modeling, and statistical analyses of biological manifolds. We will also discuss interoperability of disparate computational resources and graphical design, management and execution of complex Neuroinformatics workflows.

Bio:

Dr. Dinov is an associate professor of Statistics, Chief Operations Officer of the Center for Computational Biology, and a LONI faculty at UCLA.

Dr. Dinov's research is directed toward the development of advanced mathematical models for representation, statistical analysis and visualization of multi-dimensional and multimodal biomedical data. He is the Director of the Statistics Online Computational Resource (SOCR), which provides interactive Internet-based access to a variety of tools for statistical computing and statistics education. He also manages and directs the research efforts in the CCB and mediates the interactions and open exchange of ideas between the basic scientists, engineers, clinicians and computational biologists.



Hosted by Prof Stefano Soattto

Location: 3400 Boelter Hall

CS201 STUDENTS visit here:

For DIRECTIONS and PARKING visit here:

 


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