Georgios Georgalis

Uncertainty Quantification of Shear-induced Paraffin Droplet Pinch-off in Hybrid Rocket Motors

Restoration of metabolic functional metrics from label-free, two-photon human tissue images using multiscale deep-learning-based denoising algorithms

Study on Machine Learning Methods for General Aviation Flight Phase Identification

Automated Identification of Phase of Flight via Probabilistic Clustering for General Aviation Operations

Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate

An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds

Measurement of hybrid rocket solid fuel regression rate for a slab burner using deep learning

Preventing Systems Engineering Failures with Crowdsourcing: Instructor Recommendations and Student Feedback in Project-Based Learning