Armour College of Engineering’s Department of Mechanical, Materials, and Aerospace Engineering will welcome Esma Karagoz, a Ph.D. candidate at the Aerospace Systems Design Laboratory, Georgia Institute of Technology, to present a lecture, “A Model-Based Approach to Multidisciplinary Design to Support Automated Decision-Making.”

The virtual seminar will take place on Thursday, February 10, 2022, from 12:45-1:45 p.m.

Contact Elena Magnus at magnus@iit.edu for the seminar details and a link to join.

Abstract
Design and development of complex engineered systems in the aerospace industry have been facing challenges in terms of managing ever-increasing complexity. Due to the disconnect in current multidisciplinary design efforts, the behavior of the system may not be accurately predicted, possibly resulting in a divergence between the project outcome and what the designers envisioned. In this talk, I will focus on the integration of multidisciplinary design into model-based systems engineering practices to reduce the system development times and the allocated budgets. I will present a novel system development paradigm that utilizes not only physics-based engineering models, but also descriptive models representing the engineering knowledge with underlying semantics. I will demonstrate how I leveraged this new approach to incorporate domain knowledge and meaningfully improve the decision-making processes throughout the life cycle of a system. I will also briefly cover some applications of this methodology in the design of UAVs and in the safety analysis of a commercial transport aircraft. This causal-aware and robust methodology I have developed has shown that incorporating domain-specific structure is essential for enabling digital implementation of aircraft systems.

Biography
Esma Karagoz is a Ph.D. candidate at the Georgia Institute of Technology’s Aerospace Systems Design Lab, led by Prof. Dimitri Mavris. Her research centers around multidisciplinary design and optimization, and model-based systems engineering, with the ultimate goal of developing frameworks that integrate physics-based and descriptive models for the automation of engineering tasks. Esma received her B.S. degree in aerospace engineering from the Middle East Technical University, and M.S. degrees in aerospace engineering and computational science and engineering from the Georgia Institute of Technology. She was also selected as a Rising Star in Aerospace by the MIT Department of Aeronautics and Astronautics.