• B.S., Chemical Engineering, Anna University, 2008
• M.S., Aerospace Engineering, Georgia Institute of Technology, 2010
• Ph.D., Aerospace Engineering, Georgia Institute of Technology, 2018

Journal Articles

Kade Carlson and Ashwin Renganathan, 2026, "Multiobjective aerodynamic optimization of the NASA common research model", Aerospace Science and Technology, 168, (111120)

Muhammad Bilal and Ashwin Renganathan, 2026, "Convolutional Regularized Least Squares Framework for Reduced Order Modeling of Transonic Flows", Physics of Fluids, 38, (036107)

Annie S Booth, Ashwin Renganathan and Robert B Gramacy, 2025, "Contour Location for Reliability in Airfoil Simulation Experiments using Deep Gaussian Processes", Annals of Applied Statistics, 19, (1)

Ashwin Renganathan, Vishwas Rao and Ionel M. Navon, 2023, "CAMERA: A method for cost-aware, adaptive, multifidelity, efficient reliability analysis", Journal of Computational Physics, 472, pp. 111698

Conference Proceedings

Peter Bachman, Kade Carlson and Ashwin Renganathan, 2026, "A Bayesian Approach to Multiobjective Aerodynamic Shape Optimization", AIAA, 0367

Muhammad Bilal, Kumaraguru Sethunarayanan and Ashwin Renganathan, 2026, "An Efficient Parametric Reduced Basis Method to Emulate Fluid Flow with Shocks", AIAA, 2404

Geoffrey Davis and Ashwin Renganathan, 2026, "Uncertainty Quantification via Latent Gaussian Process Surrogates for the Second AIAA Fluid Dynamics UQ Challenge Problem", AIAA, 0095

Ashwin Renganathan and Kade Carlson, 2025, "qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling", International Conference on Artificial Intelligence and Statistics, 258, pp. 4051-4059

• January 2020 - January 2020, "Statistics and Machine Learning to Improve Reduced Order Models," (Sponsor: U.S. Department of Energy (DOE)-Laboratory Directed Research & Development (LDRD) program).

• March 2019 - October 2019, "Deep Gaussian process for automated decision making," (Sponsor: Siemens Corporate Technology).

• AI for Societal Impact award, Penn State AI Hub, April 2025

• SIAM Early Career Travel Award, Society of Industrial and Applied Mathematics (SIAM), July 2021

Service to Penn State:

Service to External Organizations:

• Organizing Conferences and Service on Conference Committees, Chairperson, Conference Technical Discipline Chair, AIAA SciTech 2025, 2025

• Organizing Conferences and Service on Conference Committees, Chairperson, Multidisciplinary Design Optimization Student Paper Competition Chair, AIAA, 2023