When: 5th of March 5th, 1:00pm AEDT
Where: This seminar will be partially presented at the ACFR seminar area, J04 lvl 2 (Rose St Building) and partially online via Zoom. RSVP
Speaker: Dr. Bingran Wang
Title: Large-Scale Design Optimisation for Complex Engineering Systems
Abstract:
Engineering systems are becoming increasingly complex, high-dimensional, and tightly coupled across multiple physical domains. From aerospace vehicles to advanced manufacturing equipment, effective design requires optimisation frameworks that scale to large numbers of variables while remaining computationally tractable. In this seminar, I will present my recent research on large-scale design optimisation methodologies for different complex engineering systems. In the first part, I will introduce the state-of-art gradient-based optimisation framework for solving multidisciplinary design optimisation (MDO) in aerospace system design problems, and my work on how uncertainty quantification methods can be efficiently incorporated into the gradient-baed MDO framework to improve the robustness and reliability of the optimal solutions. The second part focuses on surrogate-based optimisation strategies for real-world engineering design problems where high-fidelity/experimental data are limited and expensive to obtain. I will discuss my recent collaborative work with Samsung on the use of multi-fidelity modelling, dimension reduction, and generative modelling techniques to address real-world semiconductor manufacturing equipment design problems. The seminar concludes with perspectives on extending these scalable optimisation frameworks toward broader engineering applications, including robotics and autonomous systems.
Bio:
Bingran joined USyd in October 2025 as a Lecturer in Aeronautical Engineering in AMME. Prior to this, he worked as a Postdoctoral Scholar at the University of California San Diego (UCSD), where he also earned his Ph.D. in Aerospace Engineering in 2024. He received his Bachelor of Applied Science in Engineering Science from the University of Toronto in 2019. His research mainly focuses on multidisciplinary design optimization and uncertainty quantification for aerospace system design. He is a recipient of three student paper awards from AIAA Aviation and SciTech conferences.