Large-scale multidisciplinary design optimization (MDO) is the application of numerical optimization to engineering design problems involving hundreds of design variables and complex, multidisciplinary models. Recent progress has made it possible to solve large-scale MDO problems at the cost of only hundreds of model evaluations. This class of methods could significantly benefit engineering design by saving time and revealing unintuitive insights. This talk will review the state of the art in large-scale MDO and highlight recent advances in the field. The talk will also highlight applications of large-scale MDO in various domains, including vehicle design for urban air mobility.
Dr. John Hwang
Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of California San Diego. He holds a B.A.Sc. (2010) from the University of Toronto, as well as an M.S.E. in aerospace engineering (2012), an M.S. in mathematics (2013), and a Ph.D. in aerospace engineering (2015), all from the University of Michigan. Prior to joining UC San Diego in 2018, he spent two years as a research engineer at NASA Glenn Research Center. Hwang is a recipient of a DARPA Young Faculty Award and is currently leading a $6 Million project funded by the NASA University Leadership Initiative to investigate computational design methods for urban air mobility vehicle design. His research spans both the methods and applications sides of multidisciplinary design optimization, and his research group has been
funded by the NSF, DARPA, ONR, NASA, and Hyundai Motor Company.