
Aimee Williams
Georgia Insitute of Technology, GTRI
mbse
virtual sensing
ai/ml
pmx
digital twin
predictive maitenance
virtual sensor
predictive maintenance
logistics
5
presentations
5
number of views
SHORT BIO
Dr. Aimee Williams is a Research Engineer II in the Aerospace Acoustics Technologies Division of ATAS at Georgia Tech Research Institute. Her current research interests are in the fields of solid propulsion combustion and plume analysis, and applications of machine learning such as digital twin, virtual sensing, predictive maintenance, and computer vision. Dr. Williams has a background in fundamental combustion research and applied optical diagnostics, specifically the combustion and dynamics of liquid fuel sprays. At GTRI, Aimee has experience in the design, implementation, and analysis of experimental studies, including the application of machine learning-based data processing techniques for solid propulsion and other aerospace applications.
She received her Ph.D. in Aerospace Engineering in 2019, as well as B.S. (2010) and M.S. (2013) degrees from Georgia Tech. Her doctoral thesis work described the interaction of autoignition initiation and fuel spray using spatially and temporally resolved high speed diagnostics such as chemiluminescence and planar laser induced fluorescence. This work also implemented rules-based computer vision techniques for image processing. Previous work studied the dynamics of bluff-body stabilized liquid Jet-A flames using high-speed diagnostics.
Presentations

Navy Applications Q&A Session
David Alvord and 6 other authors

Predictive Analytics Q&A Session
Denise Blady and 5 other authors

Requirements Considerations for AI/ML Digital Twin Model Transition
David Alvord and 1 other author

Virtual-Sensing for Predictive Reliability
David Pendleton and 1 other author

Digital Twin Virtual Sensor Development for H-60 Accelerometer Data Reconstruction
David Alvord and 1 other author