| Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient Y Zhang, WJ Sung, DN Mavris 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2018 | 256 | 2018 |
| Development of a conditional generative adversarial network for airfoil shape optimization G Achour, WJ Sung, OJ Pinon-Fischer, DN Mavris AIAA Scitech 2020 Forum, 2261, 2020 | 67 | 2020 |
| Empirical assessment of deep gaussian process surrogate models for engineering problems D Rajaram, TG Puranik, S Ashwin Renganathan, WJ Sung, OP Fischer, ... Journal of Aircraft 58 (1), 182-196, 2021 | 26 | 2021 |
| Deep Gaussian process enabled surrogate models for aerodynamic flows D Rajaram, TG Puranik, A Renganathan, WJ Sung, OJ Pinon-Fischer, ... AIAA Scitech 2020 Forum, 1640, 2020 | 24 | 2020 |
| The IATA technology roadmap report J Banbury, D Behrens, Q Bowell, N Campos, C Cirilo, TP Choi, ... International Air Transport Association, 2009 | 19 | 2009 |
| Towards a digital thread-enabled framework for the analysis and design of intelligent systems DN Mavris, MG Balchanos, OJ Pinon-Fischer, WJ Sung 2018 AIAA Information Systems-AIAA Infotech@ Aerospace, 1367, 2018 | 12 | 2018 |
| A reinforcement learning approach to airfoil shape optimization TP Dussauge, WJ Sung, OJ Pinon Fischer, DN Mavris Scientific Reports 13 (1), 9753, 2023 | 8 | 2023 |
| Agent-based modeling of a stadium evacuation in a smart city W Zhang, V Terrier, X Fei, A Markov, S Duncan, M Balchanos, WJ Sung, ... 2018 winter simulation conference (WSC), 2803-2814, 2018 | 7 | 2018 |
| A neural network construction method for surrogate modeling of physics-based analysis WJ Sung Georgia Institute of Technology, 2012 | 7 | 2012 |
| Towards a data calibrated, simulation-based campus energy analysis environment for situational awareness and future energy system planning S Duncan, M Balchanos, W Sung, J Kim, Y Li, Y Issac, D Mavris, A Coulon Energy Sustainability 45875, V002T11A010, 2014 | 6 | 2014 |
| †œApplication of convolutional neural network to predict airfoil lift coefficient, †in 2018 AIAA Y Zhang, WJ Sung, DN Mavris ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018 | 5 | 2018 |
| A Data-driven Situational Awareness Approach to Monitoring Campus-wide Power Consumption H Fu, S Kampezidou, WJ Sung, S Duncan, DN Mavris 2018 International Energy Conversion Engineering Conference, 4414, 2018 | 5 | 2018 |
| A data mining and visual analytics perspective on sustainability-oriented infrastructure planning DN Mavris, M Balchanos, WJ Sung, OJ Pinon Data Mining and Big Data: First International Conference, DMBD 2016, Bali …, 2016 | 5 | 2016 |
| Application of Convolutional Neural Network to Predict Airfoil Lift coefficient. 2017 Y Zhang, WJ Sung, D Mavris | 5 | |
| Advanced vehicles modeling for the next generation air transportation system (nextgen vehicle integration nra) M Kirby, H Ran, S Dufresne, W Sung, D Mavris, G Burdette 9th AIAA Aviation Technology, Integration, and Operations Conference (ATIO …, 2009 | 4 | 2009 |
| Modeling the Impact of Thermal Demand Response on a Campus Chilled Water Plant and Assessment of Campus-wide Load Shift Potential JH Kim, W Sung, MG Balchanos, SJ Duncan, DN Mavris 15th International Energy Conversion Engineering Conference, 4717, 2017 | | 2017 |
| Towards a Big Data-enabled Virtual Experimentation Framework for Sustainability-Oriented, Large-scale Infrastructure Planning DN Mavris, M Balchanos, WJ Sung, OJ Pinon | | |
