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普渡大学焦丹教授5月25日学术报告会通知

  • eeis
  • 2010-06-02
  • 539

  普渡大学的焦丹教授将于近日来校访问,并将做学术报告。学术报告时间、地点,简介和个人简历如下所附。欢迎感兴趣的师生参加。 

另外,焦教授乐意在报告会后跟同学会谈。
 
 
报告时间:5月25日下午3点
报告地点:西区电三楼三楼六系第一会议室
主办单位:电子工程与信息科学系
 
 
Linear-Complexity Computational Electromagnetic Methods for the Analysis and Design of Very Large Scale Integrated Circuits
 
 
Dan Jiao
 
School of Electrical and Computer Engineering
Purdue University
 
May, 2010
 
The design of advanced engineering systems generally results in numerical problems of very large scale, requiring billions of parameters to describe them accurately. In general, to solve problems with N parameters, the optimal computational complexity one can hope for is linear complexity O(N). For most methods in computational electromagnetics, however, the complexity is higher than O(N). In this talk, we present two linear-complexity computational electromagnetic methods. One is the orthogonal finite-element reduction-recovery method; the other is the H2-matrix based direct integral equation solver of linear complexity. Both methods have been successfully applied to the design and analysis of very large scale integrated circuits. The orthogonal finite-element reduction-recovery method is capable of solving a sparse matrix involving more than 330 million unknowns associated with a realistic large-scale chip-package system in less than 200 s on a single 2.66 GHz Intel Xeon 5300 processor. The H2-based linear-complexity integral equation solver performs dense matrix inversion and LU factorization in linear complexity. It successfully inverts dense matrices that involve more than one million unknowns associated with large-scale on-chip 3D interconnects embedded in inhomogeneous materials in fast CPU time and less than 5 GB memory. 
 
Bio:
 
Dan Jiao received her Ph.D. degree in Electrical Engineering from the University of Illinois at Urbana-Champaign in October 2001. She then worked at Technology CAD (Computer-Aided-Design) Division at the Intel Corporation until September 2005 as Senior Engineer, Staff Engineer, and Senior Staff Engineer. In September 2005, she joined Purdue University as an Assistant Professor in the School of Electrical and Computer Engineering. Early in 2009, she was promoted to Associate Professor with tenure. She has authored two book chapters and over 100 papers in refereed journals and international conferences.

  Dr. Jiao received Ruth and Joel Spira Outstanding Teaching Award in 2010. In 2008, she received NSF CAREER Award, the National Science Foundation's most prestigious award in support of the early career-development activities. In 2006, she received an Office of Naval Research award through Young Investigator Program. She also received the 2006 Jack and Cathie Kozik Faculty Start-up Award, which recognizes an outstanding new faculty member at Purdue ECE. Her paper was ranked No.1 among all the papers submitted to the 2003 International Conference on Simulation of Semiconductor Processes and Devices. She received many Intel awards including the Best Paper Award from 2004 Intel Design and Test Technology Conference and the Intel Hero Award (tenth recipient Intel wide). At Illinois, she was the winner of the 2000 Raj Mittra Outstanding Research Award bestowed to the best graduate student researcher in electromagnetics. Her student was one of the three recipients of IEEE Antennas and Propagation Society PhD Research Award for 2008-2009 selected throughout the world. Prof. Jiao is an Associated Editor of the IEEE Transactions on Advanced Packaging. She is also a Guest Editor of a special issue titled “Recent Progress in Electrical Modeling and Simulation of High-Speed Integrated Circuits and Packages” for the IEEE Transactions on Advanced Packaging. She has served as a TPC member for many international conferences on electromagnetics, high-speed circuits, and advanced packaging.