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CS Graduate Seminar| On the Hierarchical Modeling Technique with Applications

Start Date: August 28, 2017
End Date: August 28, 2017

By Professor Jingfang Huang (University of North Carolina, Chapel Hill)        
and Visiting Professor at KAUST in Fall 2017.
 
The hierarchical modeling technique consists of the following steps to study a given system or dataset. It first identifies any low-rank, or low-dimensional, or other compact features using appropriate and mathematically rigorous definitions. The compressed representations are then recursively collected from children to parents, and transmitted between different nodes on a hierarchical tree structure using properly compressed translation operators. In its numerical implementation, the hierarchical models are often re-expressed as recursive algorithms, which can be easily interfaced with existing dynamical scheduling tools from HPC community for optimal parallel efficiency. In this talk, I will discuss some fundamentals of the hierarchical modeling technique. In Fall 2017, I will give a series of lectures to cover more details of this technique and applications.
 
Biography: Dr. Jingfang Huang graduated from Tsinghua University of China with a B.S. degree in 1991 and received his Ph.D. in mathematics from the Courant Institute of Mathematical Sciences of New York University in 1997. Before accepting a faculty position at UNC-Chapel Hill in 2000, he carried out his postdoc research at NYU-Courant in 1997-99 and Research Lab of Electronics (RLE) at MIT in 1999-2000. He is currently a Professor of Mathematics at UNC. His research interests include fast algorithms, integral equations, and their applications. In Fall 2017, he will be a visiting Professor at KAUST and focus on the design and implementation of fast hierarchical algorithms for Brownian dynamics and other applications. http://huang.web.unc.edu/
 

More Information:

For more info contact: Prof. David Keyes: email: david.keyes@kaust.edu.sa
 
Date: Monday 28th Aug 2017
Time:12:00 PM - 01:00 PM
Location: Building 9, Lecture Hall 1 Room 2322
Refreshments: Brown Bag lunch will be available from 11:45am.