| Dynamic data-driven aeroelastic response prediction with discrete sensor observations X Zhao, R Kania, AB Kebbie-Anthony, S Azarm, B Balachandran 2018 AIAA Non-Deterministic Approaches Conference, 2173, 2018 | 11 | 2018 |
| An enhanced copula-based method for data-driven prognostics considering insufficient training units Z Xi, X Zhao Reliability Engineering & System Safety 188, 181-194, 2019 | 10 | 2019 |
| Dynamic data-driven approach for unmanned aircraft systems and aeroelastic response analysis R Kania, A Kebbie-Anthony, X Zhao, S Azarm, B Balachandran Handbook of Dynamic Data Driven Applications Systems, 193-211, 2018 | 9 | 2018 |
| Dynamic data-driven multi-step-ahead prediction with simulation data and sensor measurements X Zhao, A Kebbie-Anthony, S Azarm, B Balachandran AIAA Journal 57 (6), 2270-2279, 2019 | 8 | 2019 |
| Data driven prognostics with lack of training data sets Z Xi, X Zhao International Design Engineering Technical Conferences and Computers and …, 2015 | 6 | 2015 |
| Deep Reinforcement Learning for the Co-Optimization of Vehicular Flow Direction Design and Signal Control Policy for a Road Network X Zhao, D Flocco, S Azarm, B Balachandran IEEE Access 11, 7247-7261, 2023 | 5 | 2023 |
| Online data-driven prediction of spatio-temporal system behavior using high-fidelity simulations and sparse sensor measurements X Zhao, S Azarm, B Balachandran Journal of Mechanical Design 143 (2), 021701, 2021 | 5 | 2021 |
| A gradient-based approach for coordinating smart vehicles and traffic lights at intersections M Rodriguez, X Zhao, H Song, A Mavrommati, RG Valenti, A Rajhans, ... IEEE Control Systems Letters 5 (6), 2144-2149, 2020 | 5 | 2020 |
| Dynamic data-driven spatiotemporal system behavior prediction with simulations and sensor measurement data X Zhao, S Azarm, B Balachandran International Design Engineering Technical Conferences and Computers and …, 2018 | 3 | 2018 |
| An enhanced copula-based method for battery capacity prognosis considering insufficient training data sets Z Xi, X Zhao IIE Annual Conference. Proceedings, 1306-1311, 2018 | 3 | 2018 |
| Verifying spatiotemporal systems via robustness bounds: an application to unmanned underwater vehicles T Liu, X Zhao, K Quigley, S Azarm, SA Gabriel, DJ Lordan Verification and Validation 41174, V001T14A001, 2019 | 2 | 2019 |
| Model bias characterization considering discrete and continuous design variables X Zhao, Z Xi, H Xu, RJ Yang International Design Engineering Technical Conferences and Computers and …, 2016 | 2 | 2016 |
| Data-driven prediction, design, and control of system behavior using statistical learning X Zhao University of Maryland, College Park, 2021 | 1 | 2021 |
| Data-Driven Based Battery Health Prognosis with Diagnosis Uncertainties and Insufficient Training Data Sets Z Xi, X Zhao, C Hu PHM Society Asia-Pacific Conference 1 (1), 2017 | | 2017 |
Shapour AzarmProfessor of Mechanical Engineering, University of MarylandVerified email at umd.edu
