Abstract
This talk will present the recent activities in the research of topology optimization at M2DO lab of the University of California San Diego. We developed a level set topology optimization method uniquely combining the popular level set method and mathematical programming to take advantages of the stable topological changes from the level set method and the generalized constraint management from mathematical programming. We have extended this method to a range of challenging problems, focusing recently on coupled multiscale and multiphysics problems. The presentation will discuss how optimization is built on computational analysis techniques and will conclude with the current and future directions.

Bio
Dr. H Alicia Kim is a Professor in Structural and Material Optimization in the Structural Engineering Department of the University of California San Diego. Her interests are in level set topology optimization, multiscale and multiphysics optimization, modeling and optimization of composite materials and multifunctional structures. She has published nearly 200 journal and conference papers in these fields including award-winning papers at the AIAA conferences and World Congresses on Structural and Multidisciplinary Optimization. She is a Review Editor for the Structural and Multidisciplinary Optimization journal.