Ping He


Assistant Professor, Michael and Denise Mack 2050 Challenge Scholar


2243 Howe
537 Bissell Rd
Ames, IA 50011-1096



iDesign Laboratory

Google Citation


Ph.D. Engineering Thermophysics, Chinese Academy of Sciences, 2012

B.S. Thermal Energy and Power Engineering, Sichuan University, 2007


AerE 362: Aerospace Systems Integration

AerE 463/563: Introduction to Multidisciplinary Design Optimization

Research Interests:

Multidisciplinary Design Optimization (MDO)

Machine Learning and Reduced-order Modeling

Computational Fluid Dynamics (CFD)

Aircraft and Turbomachinery Design

Spacecraft Mission Optimization

Sponsored Projects:

Five funded projects from federal agencies and the industry. Total: $1.368M. My share: $515K.

Accelerating Scientific Discovery: A Toolset for Standardizing Data Collection and Machine Learning. The Ames National Lab, Department of Energy (DOE). Total award: $400K. 2023-2025. My role: PI. My share: $100K.

High-fidelity Multidisciplinary Design Optimization of Heat Exchangers for eVTOL Aircraft Thermal Management. National Aeronautics and Space Administration (NASA). Total award: $100K. 2023-2024. My role: Science PI. My share: $100K.

Collaborative Research: Enabling Large-scale Multidisciplinary Design Optimization with Unsteady Simulations: A Hybrid Pseudo-spectral Approach. National Science and Foundation (NSF). Total award: $575K. 2022−2025. My role: PI of the lead institute. My share: $250K.

5G Accelerated Scientific Discovery: Enabling AI at the Edge. The Ames National Lab, Department of Energy (DOE). Total award: $273K. 2021−2023. My role: co-PI. My share: $45K

High-fidelity MDO considering propeller-wing interaction. Hyundai Motor Company subcontracted from the University of Michigan. Total award: $19K. 2021−2022. My role: PI. My share: $20K


Selected Publications (of 54 papers including 24 journal and 30 conference papers. Google H-index: 15)

Fang, L, He, P. “A Duality-Preserving Adjoint Method for Segregated Navier-Stokes Solvers”. Journal of Computational Physics, 2024

Harris, G, He, P, Abdelkhalik, O. “Control Co-Design Optimization of Spacecraft Trajectory and System for Interplanetary Missions.” Journal of Spacecraft and Rockets, 2024.

Wang, J, Hu, H, He, P, Hu, H. “A Machine Learning Study to Predict Wind-Driven Water Runback Characteristics”. Physics of Fluids, 2023.

Li, Z., He, P. “Accelerating Unsteady Aerodynamic Simulations Using Predictive Reduced-order Modeling”. Aerospace Science and Technology, 2023.

Koyuncuoglu, H., He, P. “Simultaneous wing shape and actuator parameter optimization using the adjoint method”. Aerospace Science and Technology, 2022.

Secco, N., Kenway, G. K. W., He, P., Mader, C. A., Martins, J. R. R. A. “Efficient mesh generation and deformation for aerodynamic shape optimization”. AIAA Journal, 2021.

Du, X., He, P., Martins, J.R.R.A. “Rapid airfoil design optimization via neural network-based parameterization and surrogate modeling”. Aerospace Science and Technology, 2021.

He, P., Mader, C.A., Martins, J.R.R.A., Maki, K.J. “DAFoam: An open-source adjoint framework for multidisciplinary design optimization with OpenFOAM”. AIAA Journal, 58, pp. 1304-1319, 2020.

He, P., Mader, C.A., Martins, J.R.R.A., Maki, K.J. “Aerothermal optimization of a ribbed U bend cooling channel using the adjoint method”. International Journal of Heat and Mass Transfer, 140, pp. 152-172, 2019.

Kenway, G.K.W., Mader, C.A., He, P., Martins, J.R.R.A. “Effective adjoint approaches for computational fluid dynamics”. Progress in Aerospace Sciences, 110, p. 100542, 2019.

He, P., Mader, C.A., Martins, J.R.R.A., Maki, K.J. “An aerodynamic design optimization framework using a discrete adjoint approach with OpenFOAM”. Computers & Fluids, 168, pp. 285-303, 2018.