
Keegan J. Moore
Dr. Keegan J. Moore is an Associate Professor in the Daniel Guggenheim School of Aerospace Engineering and the Director of the Moore Dynamics and Analytics Laboratory (MoDAL) at Georgia Tech. The vision of his research group is to place nonlinear dynamics into the toolbox of every engineer. To achieve this, the lab weaves together theory, simulation, and experimentation with modern data science and autonomy to make complex systems easier to understand and control.
Dr. Moore's lab pioneers next-generation, data-driven methods for the analysis and design of nonlinear aerospace structures. This foundational work includes discovering governing equations directly from experimental data, developing AI-based frameworks for autonomous testing and model reconciliation within the Digital Engineering paradigm, and creating advanced reduced-order models for efficient simulation. These methods are then used to investigate fundamental phenomena, such as energy guiding and non-reciprocity in acoustic metamaterials, and to engineer novel vibration mitigation strategies using nonlinear absorbers. Ultimately, this research tackles critical challenges across multiple domains: from ensuring the structural integrity of bolted joints and predicting the response of structures to extreme loading like shocks and impacts, to controlling the aeroelastic performance of high-aspect-ratio wings and vertical-lift vehicles.
Recognized for his contributions, Dr. Moore is the recipient of the 2023 National Science Foundation (NSF) CAREER Award and the 2022 Air Force Office of Scientific Research (AFOSR) Young Investigator Program Award. Before his appointment at Georgia Tech, he was an Assistant Professor of Mechanical and Materials Engineering at the University of Nebraska-Lincoln from 2018 to 2024. He received his B.Sc. in Mechanical Engineering from the University of Akron in 2014 and his Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign in 2018, where he was a recipient of the prestigious NSF Graduate Research Fellowship.
AE Multidisciplinary Research Areas:
- Mechanics of Multifunctional Structures and Materials
- Large-Scale Computations, Data, & Analytics
- Vertical Lift and Urban Air Mobility
- Robotics, Autonomy and Human Interaction
- Cyberphysical Systems, Safety, Security, & Reliability