Journal Articles
- Jai Ahuja, Ashwin Renganathan and Dimitri N. Mavris, 2022, "Sensitivity Analysis of the Over-Wing Nacelle Design Space", Journal of Aircraft
- G. V. Iungo, R. Maulik, Ashwin Renganathan and S. Letizia, 2022, "Machine-learning identification of the variability of mean velocity and turbulence intensity for wakes generated by onshore wind turbines: Cluster analysis of wind LiDAR measurements", Journal of Renewable and Sustainable Energy, 14, (023307)
- Ashwin Renganathan, Romit Maulik, Stefano Letizia and Giacomo Valerio Iungo, 2022, "Data-driven wind turbine wake modeling via probabilistic machine learning", Neural Computing and Applications, 34, pp. 6171, 6186
- Ashwin Renganathan, Vishwas Rao and Ionel M. Navon, 2022, "CAMERA: A Method for Cost-aware Adaptive Multifidelity Efficient Reliability Analysis", Journal of Computational Physics
- Ashwin Renganathan, 2021, "From probabilistic machine learning to “look ahead” decision-making in the design of complex engineered systems", Aerospace America
- Ashwin Renganathan, Romit Maulik and Jai Ahuja, 2021, "Enhanced data efficiency using deep neural networks and Gaussian processes for aerodynamic design optimization", Aerospace Science and Technology
- Dushhyanth Rajaram, Tejas G. Puranik and Ashwin Renganathan, 2020, "Empirical Assessment of Deep Gaussian Process Surrogate Models for Engineering Problems", AIAA Journal of Aircraft
- Ashwin Renganathan, Kohei Harada and Dimitri N. Mavris, 2020, "Aerodynamic Data Fusion Toward the Digital Twin Paradigm", AIAA Journal, 58, (9), pp. 3902-3918
- Ashwin Renganathan, Romit Maulik and Vishwas Rao, 2020, "Machine learning for nonintrusive model order reduction of the parametric inviscid transonic flow past an airfoil", Physics of Fluids, 32, (4)
- Ashwin Renganathan, 2020, "Koopman-Based Approach to Nonintrusive Reduced Order Modeling: Application to Aerodynamic Shape Optimization and Uncertainty Propagation", AIAA Journal, 58, (5), pp. 2221-2235
- Ashwin Renganathan, Yingjie Liu and Dimitri N. Mavris, 2018, "A Koopman-Based Approach to Nonintrusive Projection-Based Reduced-Order Modeling with Black-Box High-Fidelity Models", AIAA Journal
- Ashwin Renganathan and Mishra P. Debi, 2014, "Numerical study of flame/vortex interactions in 2-D Trapped Vortex Combustor", Thermal Science, 18, (4), pp. 1373-1387
- Ashwin Renganathan and Mishra P. Debi, 2010, "Numerical analysis of fuel—air mixing in a two-dimensional trapped vortex combustor", Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 224, (1)
Conference Proceedings
- Ashwin Renganathan, Vishwas Rao and Ionel Navon, 2022, "Multifidelity Gaussian processes for failure boundary and probability estimation", Uncertainty Quantification and Analysis of Complex Aerospace Systems
- Varuni Katti Sastry, Romit Maulik, Vishwas Rao and Ashwin Renganathan, 2021, "Data-Driven Deep Learning Emulators for Geophysical Forecasting", Springer, Cham, pp. 433-446
- Romit Maulik, Vishwas Rao, Ashwin Renganathan, Stefano Letizia and Giacomo Iungo, 2021, "Cluster analysis of wind turbine wakes measured through a scanning Doppler wind LiDAR", AIAA SciTech 2021 Forum
- G. V. Iungo, S. Letizia, R. Maulik and Ashwin Renganathan, 2021, "Double-Gaussian model for predictions of the streamwise mean velocity and turbulence intensity in wind-turbine wakes", Bulletin of the American Physical Society
- Dushhyanth Rajaram, Tejas G. Puranik, Ashwin Renganathan, Woong Je Sung, Olivia J. Pinon-Fischer, Dimitri N. Mavris and Arun Ramamurthy, 2020, "Deep Gaussian Process Enabled Surrogate Models for Aerodynamic Flows", AIAA SciTech 2020 Forum, pp. 1640
- Ashwin Renganathan, Kohei Harada and Dimitri N. Mavris, 2019, "Multifidelity Data Fusion via Bayesian Inference", AIAA Aviation 2019 Forum, pp. 3556
- Jai Ahuja, Ashwin Renganathan, Steven Berguin and Dimitri N. Mavris, 2018, "Multidisciplinary Analysis of Aerodynamics-Propulsion Coupling for the OWN Concept"
- Ashwin Renganathan, Steven H. Berguin, Mengzhen Chen, Jai Ahuja, Jimmy C. Tai, Dimitri N. Mavris and David Hills, 2018, "Sensitivity Analysis of Aero-Propulsive Coupling for Over-Wing-Nacelle Concepts", 2018 AIAA Aerospace Sciences Meeting, AIAA SciTech Forum
- Ashwin Renganathan and Dimitri N. Mavris, 2017, "A Methodology for Projection-Based Model Reduction with Black-Box High-Fidelity Models"
- Ashwin Renganathan and Dimitri N. Mavris, 2015, "Conceptual Design of a Two Stage Runway based Space Launch System"
- Ashwin Renganathan, Russell K. Denney, Antoine Duquerrois and Dimitri N. Mavris, 2014, "Validation and Assesment of Lower Order Aerodynamics Based Design of Ram Air Turbines"
Other
- Ashwin Renganathan, Jeffrey Larson and Stefan Wild, 2020, "Recursive Two-Step Lookahead Expected Payoff for Time-Dependent Bayesian Optimization"
- Steven H. Berguin and Ashwin Renganathan, 2018, "CFD Study of an Over-Wing Nacelle Configuration"
