| Data-driven approach using machine learning for real-time flight path optimization J Kim, C Justin, D Mavris, S Briceno Journal of Aerospace Information Systems 19 (1), 3-21, 2022 | 15 | 2022 |
| An Integrated Design Approach for Infill Patterning of Fused Deposition Modeling and Its Application to An Airfoil S Kim, X Chen, G Dreifus, J Lindah, I Kang, J Kim Society for the Advancement of Material and Process Engineering (SAMPE …, 2017 | 15 | 2017 |
| Automated Text Classification of Maintenance Data of Higher Education Buildings Using Text Mining and Machine Learning Techniques S Hong, J Kim, E Yang Journal of Architectural Engineering 28 (1), 2022 | 14 | 2022 |
| Aircraft Flight Plan Optimization with Dynamic Weather and Airspace Constraints C Ramée, J Kim, M Deguignet, C Justin, S Briceno, D Mavris International Conference on Research in Air Transportation (ICRAT), 2020 | 9 | 2020 |
| A Data-Driven Approach Using Machine Learning to Enable Real-Time Flight Path Planning J Kim, S Briceno, C Justin, D Mavris AIAA Aviation 2020 Forum, 2020 | 9 | 2020 |
| Unscented Kalman filter-aided long short-term memory approach for wind nowcasting J Kim, K Lee Aerospace 8 (9), 236, 2021 | 8 | 2021 |
| Supervised Machine Learning-based Wind Prediction to Enable Real-Time Flight Path Planning J Kim, C Zhang, S Briceno, D Mavris AIAA Scitech 2021 Forum, 2021 | 6 | 2021 |
| Multi-objective Decision Making of a Simplified Car Body Shape Towards Optimum Aerodynamic Performance K Song, KH Choo, J Kim, D Mavris International Design Engineering Technical Conferences and Computers and …, 2017 | 6 | 2017 |
| Multi-objective Optimization of Departure Procedures at Gimpo International Airport J Kim, D Lim, DJ Monteiro, M Kirby, D Mavris International Journal of Aeronautical and Space Sciences 19 (2), 534-541, 2018 | 5 | 2018 |
| Machine Learning-based Code Auto-completion Implementation for Firmware Developers J Kim, K Lee, S Choi Applied Sciences 10 (23), 8520, 2020 | 4 | 2020 |
| A Development and Verification of Density based Solver using LU-SGS algorithm in OpenFOAM J Kim, K Kim International Council of the Aeronautical Sciences (ICAS), 2014 | 4 | 2014 |
| Aircraft Mission Analysis Enhancement by Using Data Science and Machine Learning Techniques J Kim, S Kim, K Song, Y Yi, D Mavris AIAA Aviation 2019 Forum, 2019 | 3 | 2019 |
| Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea J Kim, S Kim Journal of Aerospace Information Systems, AIAA, 2023 | 2 | 2023 |
| Flight data clustering for offline evaluation of real-time trajectory optimization framework J Kim, D Mavris Decision Analytics Journal 7, 100221, 2023 | 2 | 2023 |
| Designated Points-based Free-Flight Approach to Enable Real-Time Flight Path Planning J Kim, S Briceno, C Justin, D Mavris AIAA Aviation 2021 Forum, 2021 | 2 | 2021 |
| A Computational Study of a Circular Cylinder at Low Reynolds Number for Open Loop Control of Von-Karman Vortex Shedding J Kim, CF Lange, CR Koch International OpenFOAM Conference, 2013 | 2 | 2013 |
| Data‐Driven Approach using Supervised Learning for Predicting Endpoint Temperature of Molten Steel in the Electric Arc Furnace Y Song, H Ha, W Lee, KY Lee, J Kim Steel research international, 2023 | 1 | 2023 |
| Surrogate-based optimization approach for capacitated hub location problem with uncertainty J Kim, C Chung Cogent Engineering 10 (1), 2185948, 2023 | | 2023 |
| Data-Driven Approach using Unsupervised Learning for Detecting Anomalies in Facility Operations E Cho, S Hong, H Yoon, E Cho, J Shim, J Oh, J Kim IEEE International Conference on Big Data, 2022 | | 2022 |
| A Surrogate-based Optimization for a Mega-Hub Location Problem in South Korea using Artificial Neural Network J Kim, K Song, C Chung, D Mavris Institute of Industrial and Systems Engineers (IISE) Conference, 2019 | | 2019 |
