| Non-intrusive parametric reduced order models with high-dimensional inputs via gradient-free active subspace D Rajaram, RH Gautier, C Perron, OJ Pinon-Fischer, D Mavris AIAA Aviation 2020 Forum, 3184, 2020 | 21 | 2020 |
| A fully Bayesian gradient-free supervised dimension reduction method using Gaussian processes R Gautier, P Pandita, S Ghosh, D Mavris International Journal for Uncertainty Quantification 12 (2), 19-51, 2022 | 17 | 2022 |
| A model-based approach to the automated design of micro-autonomous multirotor vehicle systems A Cheng, Z Fisher, R Gautier, KD Cooksey, N Beals, D Mavris American Helicopter Society 72nd Annual Forum and Technology Display, 2016 | 10 | 2016 |
| A fully Bayesian gradient-free supervised dimension reduction method using Gaussian processes R Gautier, P Pandita, S Ghosh, D Mavris arXiv preprint arXiv:2008.03534, 2020 | 8 | 2020 |
| Uncertainty Quantification on a Parallel Hybrid-Electric Propulsion EPFD Vehicle J Uzodinma, T Zaidi, M Walter, R Gautier, DN Mavris AIAA SCITECH 2023 Forum, 0839, 2023 | 7 | 2023 |
| Design and manufacturing of a coaxial-rotor fixed-wing VTOL UAV ZC Fisher, RH Gautier, CA Wilson, MJ Steffens, DN Mavris 2018 AIAA Aerospace Sciences Meeting, 1010, 2018 | 4 | 2018 |
| Impact of Technological Uncertainty on Design Parameter Selection of the NASA Parallel Hybrid-Electric Propulsion EPFD Vehicle RH Gautier, L Teta, J Uzodinma, T Pattanayak, M Walter, T Zaidi, ... AIAA AVIATION 2023 Forum, 4501, 2023 | 3 | 2023 |
| Design space reduction using multi-fidelity model-based active subspaces B Mufti, C Perron, R Gautier, DN Mavris AIAA AVIATION 2023 Forum, 3592, 2023 | 2 | 2023 |
| Sensitivity Analysis within the Benefit Region of the NASA Parallel Hybrid-Electric Propulsion EPFD Vehicle M Walter, J Uzodinma, T Zaidi, RH Gautier, L Teta, DN Mavris AIAA AVIATION 2023 Forum, 4504, 2023 | 2 | 2023 |
| Uncertainty Analysis of Turbofan and Turboprop Architectures for Hybrid Electric Propulsion in NASA EPFD Vehicles T Pattanayak, J Uzodinma, RH Gautier, M Walter, T Zaidi, D Mavris AIAA AVIATION FORUM AND ASCEND 2024, 3826, 2024 | 1 | 2024 |
| Bayesian, Gradient-Free, and Multi-Fidelity Supervised Dimension Reduction Methods for Surrogate Modeling of Expensive Analyses with High-Dimensional Inputs. R Gautier Georgia Institute of Technology, Atlanta, GA, USA, 2022 | 1 | 2022 |
| A configuration-independent modeling toolset for the analysis of small-scale electric-powered UAVs RH Gautier, ZC Fisher, CB McMillan, MJ Steffens, DN Mavris 2018 AIAA Modeling and Simulation Technologies Conference, 1918, 2018 | 1 | 2018 |
| Sensitivity Analysis of Missing Data and Imputation Techniques in Flight Safety Event Detection ES Okuma Hayachiguti, A Arra, J Bhanpato, RH Gautier, MR Kirby, ... AIAA AVIATION FORUM AND ASCEND 2024, 4660, 2024 | | 2024 |
| Identifying Precursors to Flight Safety Events: A Comparative Analysis of Machine Learning Models Using FOQA Data N Lepez Da Silva Duarte, B Ravikanti, J Bhanpato, RH Gautier, MR Kirby, ... AIAA AVIATION FORUM AND ASCEND 2024, 4659, 2024 | | 2024 |
| Micro Autonomous Systems Research: Systems Engineering Processes for Micro Autonomous Systems KD Cooksey, M Kim, D Thanki, B Leung, Z Fisher, A Cheng, R Gautier, ... Georgia Institute of Technology Atlanta United States, 2016 | | 2016 |
| MICRO AUTONOMOUS SYSTEMS RESEARCH: SYSTEMS ENGINEERING PROCESSES FOR DRKD COOKSEY, D LOCASCIO, E SCHAUS, Z FISHER, A CHENG, ... | | 2015 |
| Design and Control of an Autonomous Underwater Vehicle for the RoboSub Competition C Ramée, R Gautier, P Valdez, S Seifert, S Dubin, J Chen, H Chen, ... | | |
Dimitri N. MavrisGeorgia Institute of Technology在 aerospace.gatech.edu 的电子邮件经过验证
