| Measurement of hybrid rocket solid fuel regression rate for a slab burner using deep learning G Surina III, G Georgalis, SS Aphale, A Patra, PE DesJardin Acta Astronautica 190, 160-175, 2022 | 12 | 2022 |
| Study on Machine Learning Methods for General Aviation Flight Phase Identification N Fala, G Georgalis, N Arzamani Journal of Aerospace Information Systems 20 (10), 636-647, 2023 | 4 | 2023 |
| Assessment of Project-Based Learning Courses Using Crowd Signals G Georgalis, K Marais 2019 ASEE Annual Conference & Exposition, 2019 | 4 | 2019 |
| Can We Use Wisdom‐of‐the‐Crowd to Assess Risk of Systems Engineering Failures? G Georgalis, K Marais INCOSE International Symposium 29 (1), 620-635, 2019 | 3 | 2019 |
| Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate G Georgalis, K Retfalvi, PE Desjardin, A Patra International Journal for Uncertainty Quantification 13 (5), 2023 | 1 | 2023 |
| Preventing Systems Engineering Failures with Crowdsourcing: Instructor Recommendations and Student Feedback in Project-Based Learning G Georgalis Purdue University, 2021 | 1 | 2021 |
| Predicting failure events from crowd‐derived inputs: schedule slips and missed requirements G Georgalis, K Marais INCOSE International Symposium 31 (1), 634-648, 2021 | 1 | 2021 |
| Uncertainty Quantification of Shear-induced Paraffin Droplet Pinch-off in Hybrid Rocket Motors G Georgalis, D Nathawani, M Knepley, A Patra AIAA SCITECH 2024 Forum, 1021, 2024 | | 2024 |
| Restoration of metabolic functional metrics from label-free, two-photon human tissue images using multiscale deep-learning-based denoising algorithms N Vora, CM Polleys, F Sakellariou, G Georgalis, HT Thieu, EM Genega, ... Journal of Biomedical Optics 28 (12), 126006-126006, 2023 | | 2023 |
| Automated Identification of Phase of Flight via Probabilistic Clustering for General Aviation Operations G Georgalis, N Fala AIAA AVIATION 2023 Forum, 3610, 2023 | | 2023 |
| An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds A Salunkhe, G Georgalis, A Patra, V Chandola AIAA SCITECH 2023 Forum, 1285, 2023 | | 2023 |
| Best Overall 2019 PIC Paper and PIC II Winner-Assessment of Project-based Learning Courses Using Crowd Signals G Georgalis, K Marais 2020 ASEE Virtual Annual Conference Content Access, 2020 | | 2020 |
| Data science approaches to prevent failures in systems engineering K Marais, B Ribeiro, G Georgalis, L de Abreu Cotta | | 2017 |
| Modeling of Partial-Mixed Turbofan Engine and Performance Evaluation Using In-flight Data GP Georgalis | | 2014 |
Abani PatraProfessor Mathematics and Computer ScienceVerified email at tufts.edu
