| Port-Hamiltonian formulation of two-phase flow models H Bansal, P Schulze, MH Abbasi, H Zwart, L Iapichino, WHA Schilders, ... Systems & Control Letters 149, 104881, 2021 | 20 | 2021 |
| Port-Hamiltonian modelling of fluid dynamics models with variable cross-section H Bansal, H Zwart, L Iapichino, W Schilders, N van de Wouw IFAC-PapersOnLine 54 (9), 365-372, 2021 | 7 | 2021 |
| Model order reduction framework for problems with moving discontinuities H Bansal, S Rave, L Iapichino, W Schilders, N Wouw Numerical Mathematics and Advanced Applications ENUMATH 2019, 83-91, 2021 | 6 | 2021 |
| Power-Preserving Interconnection of Single- and Two-Phase Flow Models for Managed Pressure Drilling* MH Abbasi, H Bansal, H Zwart, L Iapichino, WHA Schilders, ... 2020 American Control Conference (ACC), 3097-3102, 2020 | 4 | 2020 |
| Structure-preserving Spatial Discretization of a Two-Fluid Model* H Bansal, S Weiland, L Iapichino, WHA Schilders, N van de Wouw 2020 59th IEEE Conference on Decision and Control (CDC), 5062-5067, 2020 | 3 | 2020 |
| Choosing observation operators to mitigate model error in Bayesian inverse problems N Cvetković, HC Lie, H Bansal, K Veroy arXiv preprint arXiv:2301.04863, 2023 | 2 | 2023 |
| Structure-preserving model order reduction for drilling automation H Bansal PhD thesis, Eindhoven University of Technology, 2020 | 2 | 2020 |
| Modified sound speed for the unification of single-phase and two-phase 520 flow scenarios H Bansal, W Schilders, N van de Wouw, L Iapichino, B Koren NUMHYP17: Numerical methods for hyperbolic problems, Monte Verita, 2017 | 2 | 2017 |
| Physics-informed two-tier neural network for non-linear model order reduction Y Hong, H Bansal, K Veroy | | 2024 |
| Optimal sensor selection strategies for state reconstruction J Wip, K Veroy-Grepl, C Pagliantini, H Bansal | | 2022 |
| Reduced Order Modelling for Wafer Heating with the Method of Freezing EJI Hoeijmakers, H Bansal, TM van Opstal, PA Bobbert Scientific Computing in Electrical Engineering, 221-230, 2021 | | 2021 |
| SciSports: Learning football kinematics through two-dimensional tracking data A Babic, H Bansal, G Finocchio, J Golak, M Peletier, J Portegies, ... arXiv preprint arXiv:1808.04550, 2018 | | 2018 |
| Model Order Reduction for convection dominated problems H Bansal, L Iapichino, S Rave, W Schilders, N van de Wouw ScienceOpen Posters, 2018 | | 2018 |
| Automatic model order reduction for Hydraulics modeling MH Abbasi, H Bansal, SN Lordejani, N Velmurugan, L Iapichino, ... LMS EPSRC Durham Symposium on Model Order Reduction, 2017 | | 2017 |
| Reduced Kalman inversion in multiscale models via deep learning Y Hong, H Bansal, K Veroy | | |
| Model Order Reduction of Hyperbolic Systems H Bansal, L Iapichino, WHA Schilders, N van de Wouw | | |
| Automated Model Order Reduction via Method of Freezing H Bansal, L Iapichino, S Rave, WHA Schilders, N van de Wouw | | |
