Jin- Fa Lee

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Chairs of Excellence 2012

Jin- Fa Lee
The Ohio State University    EEUU

Prof. Jin-Fa Lee received the B.S. degree from National Taiwan University, in 1982 and the M.S. and Ph.D. degrees from Carnegie-Mellon University in 1986 and 1989, respectively, all in electrical engineering. From 1988 to 1990, he was with ANSOFT (later acquired by ANSYS) Corp., where he developed several CAD/CAE finite element programs for modeling three-dimensional microwave and millimeter-wave circuits.

From 1990 to 1991, he was a post-doctoral fellow at the University of Illinois at Urbana-Champaign. From 1991 to 2000, he was with Department of Electrical and Computer Engineering, Worcester Polytechnic Institute. He joined the Ohio State University at 2001 where he is currently a Professor in the Dept. of Electrical and Computer Engineering.

Prof. Lee is an IEEE fellow and is currently serving as an associate editor for IEEE Trans. Antenna Propagation and as a Distinguished Lecturer for IEEE AP Society for the term of 2011-2013. Prof. Lee’s main research interests include Electromagnetic Field Theories, Antennas, numerical methods and their applications to computational electromagnetics, analyses of numerical methods, fast finite element methods, fast integral equation methods, hybrid methods, three-dimensional mesh generation, decomposition methods, and multi-physics simulations and modeling.

Research stay at UC3M: DEPARTMENT OF SIGNAL AND COMMUNICATIONS THEORY

Project: The project proposed herein aims at combining in a synergetic manner of Professor Lee’s expertise in domain decomposition methods (DDMs) for electromagnetics with the highly developing understanding in Signal Theory and Communications Dept. (TSC) regarding self-adaptive hp-finite elements. DDM is a general paradigm and is based on the principle of divide and conquer.

Namely, the original problem domain is divided into a set of domains being the solution of the whole problem obtained by solving (either sequentially in one processor or in parallel in several processors) each domain problem separately. Whereas the self-adaptive hp-finite elements is a numerical technique that provides an optimal discretization of complex structures through the simultaneous variation of the size h and the order p of the polynomial approximation within the finite cells used for the spatial discretization. Thus, the combination of optimal hp-discretizations together with DDM will overcome many of the present limitations regarding an accurate modeling of electrically large structures.

A number of specific applications have been identified, being worth noting two of them. The first is the analysis of large finite arrays, including environmental effects. The second application is the analysis of antennas onboard aircrafts.

Stay Period: APR 13 - JUL 13 and OCT 13 - DEC 13

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