Vikrant Gupta
Associate Professor, Mechanical Engineering (Robotics) Program
Office: R526
Vikrant Gupta obtained his PhD in Engineering (thermo-fluids group) from the University of Cambridge and holds a Master’s and Bachelor’s in Aerospace Engineering from the Indian Institute of Technology Madras. Before joining GTIIT in August 2024, he worked as a postdoctoral researcher at the University of Cambridge and served as a Research Associate Professor at the Southern University of Science and Technology. His research primarily focuses on applications in clean energy.
Vikrant specializes in the analysis and modelling of complex flow systems, which often suffer from the curse of dimensionality. His underlying philosophy is that dynamical systems frequently exhibit simple dynamics dominated by only a few degrees of freedom (DoF). The majority of DoF exist to create apparent complexity and thus need to be simplified. He employs methods ranging from classical model-reduction techniques to purely data-driven approaches. Vikrant has published in highly reputable journals across various disciplines and has secured grants from NSFC, RGC, and EPSRC.
- Turbulence
- Wind energy
- Thermoacoustics
- Dynamical systems
- Data assimilation
- Machine learning
Gupta V.* and Wan M.*, Low-order modelling of wake meandering behind turbines, J. Fluid Mech. (Scopus IF: 3.958), 2019, 877, 534-560 https://doi.org/10.1017/jfm.2019.619.
Lee M., Zhu Y., Li L.K.B.* and Gupta V.*, System identification of a low-density jet via its noiseinduced dynamics, J. Fluid Mech. (Scopus IF: 3.958), 2019, 862, 200-215
Gupta V., Madhusudanan A., Wan M.*, Illingworth S. J. and Juniper M. P., Linear-model-based estimation in wall turbulence: improved stochastic forcing and eddy viscosity terms, J. Fluid Mech. (Scopus IF: 3.958), 2021, 925, A18 https://doi.org/10.1017/jfm.2021.671.
Gupta V., Li L.K.B., Chen S., and Wan M.*, Model-free forecasting of partially observable spatiotemporally chaotic systems, Neural Networks (Scopus IF: 9.657), 2023, 160, 297-305 https://doi.org/10.1016/j.neunet.2023.01.013.
Feng D., Gupta V.*, Li L. K. B., and Wan M., An improved dynamic model for wind-turbine wake flow, Energy (Scopus IF: 8.857), 2024, 290, 130167, https://doi.org/10.1016/j.energy.2023.130167