| Inverse design of airfoils via an intelligent hybrid optimization technique E Tandis, E Assareh Engineering with Computers 33 (3), 361-374, 2017 | 19 | 2017 |
| Optimizing the wind power generation in low wind speed areas using an advanced hybrid RBF neural network coupled with the HGA-GSA optimization method E Assareh, I Poultangari, E Tandis, M Nedaei Journal of Mechanical Science and Technology 30, 4735-4745, 2016 | 12 | 2016 |
| Numerical simulation of weakly compressible hyper-elastic solids using a conservative pressure-velocity formulation on arbitrary Lagrangian-Eulerian framework E Tandis, A Ashrafizadeh Applied Mathematical Modelling 96, 796-812, 2021 | 6 | 2021 |
| A numerical study on the fluid compressibility effects in strongly coupled fluid–solid interaction problems E Tandis, A Ashrafizadeh Engineering with Computers 37, 1205-1217, 2021 | 3 | 2021 |
| A unified approach for the solution of fluid‐solid interaction problems with hyperelastic deformation in internal flows E Tandis, A Ashrafizadeh International Journal for Numerical Methods in Fluids 95 (4), 603-636, 2023 | 2 | 2023 |
| Finite volume-based supervised machine learning models for linear elastostatics E Tandis, P Cardiff Advances in Engineering Software 176, 103390, 2023 | | 2023 |
| Machine Learning Enhanced Solution of Linear Elastic Problems E Tandis, P Cardiff | | 2022 |
| Unsupervised Learning of Numerical Solutions in a Linear Elastic Solver E Tandis, M Clancy, P Cardiff | | 2021 |
| Comparison of Monolithic and Partitioned Approaches for the Solution of Fluid-Solid Thermal Interaction Problems E Tandis, A Ashrafizadeh Journal of Applied and Computational Sciences in Mechanics 31 (1), 2020 | | 2020 |
| Optimizing a Nearly Net Zero Energy Building with a New Organic-Kalina-Cogeneration System Using Rsm as a Machine Learning Optimization Technique E Assareh, M Ghodrat, A Keykhah, N Agarwal, E Tandis, M Lee Available at SSRN 4834257, 0 | | |
