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Biosketch
Education
- PhD, Mathematical Sciences, Georg-August-Universität Göttingen (Jointly with the group of Biomed NMR, Max-Planck Institute for Biophysical Chemistry (Now Multidisciplinary Sciences)), Göttingen, Germany.
- M.Tech, Mechanical Engineering, IIT Kanpur, Kanpur, Uttar Pradesh, India.
- B.M.E, Mechanical Engineering, Jadavpur University, Kolkata, India.
Experience:
- February 2023 - Present: Ramanujan Faculty Fellow, IIT Palakkad, India.
- September, 2022 - February, 2023: Assistant Professor, Department of Mechanical Engineering, GITAM University, Visakhapatanam, India.
- May, 2021 - April, 2022 : Postdoctoral Fellow, Universidad del País Vasco (University of Basque Country, UPV/EHU), Leioa, Basque Country, Spain.
- February, 2020 - March, 2021 : Postdoctoral Fellow, Basque Center for Applied Mathematics (BCAM), Bilbao, Spain.
- January, 2018 - January, 2020: Postdoctoral Scholar, Centre for Applicable Mathematics, TIFR, Bengaluru, India.
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Research
My primary research interest lies in the development of computational techniques for solving partial differential equations. I have been actively involved in the development of higher-order schemes based on finite-volume and discontinuous Galerkin (DG) approaches to achieve high-accuracy solutions for realistic engineering simulations. I have experience applying these techniques to various areas such as electrodynamics, magnetohydrodynamics, and flow MRI.
In addition, I am interested in exploring new computational methods for fluid flows, both compressible and incompressible. To achieve this goal, I am interested in integrating these techniques into open-source libraries and high-performance scientific computing frameworks.
In addition to my work in computational partial differential equations, I am also fascinated by data-driven approaches to addressing problems in science and engineering. Currently, I am concentrating on developing deep learning-based techniques to solve inverse problems and applying them to real-life engineering challenges.
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Teaching
August - December, 2024:
- ME 5614 Computational Fluid Dynamics
January - May, 2024:
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ME 5632 Computational Methods for Inverse Problems in Science and Engineering
August - December, 2023:
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ME 5614 Computational Fluid Dynamics (Jointly with Dr. Ganesh Natarajan)
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ME 1130 Engineering Drawing, IIT Palakkad, 2023 (Co-teacher)
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Additional Information
TitleSelected PublicationsDescription
Arijit Hazra, Dinshaw S. Balsara, Praveen Chandrashekar, Sudip K. Garain. Multidimensional generalized Riemann problem solver for Maxwell’s equations, (Accepted in J. Sci. Comp., 2023)
M. Shahriari, A. Hazra, D. Pardo. A deep learning approach to design a borehole instrument for geosteering, Geophysics (2022),87(2): D83
R. Käppeli, D. S. Balsara, C. Praveen, A. Hazra. Optimal, globally constraint-preserving, DG(TD)2 schemes for computational electrodynamics based on two-derivative Runge-Kutta timestepping and multidimensional generalized Riemann problem solvers- a von Neumann stability analysis, J. Comput. Phys., 408, 109238
A. Hazra, C. Praveen, D.S. Balsara, Globally constraint-preserving FR/DG scheme for Maxwell’s equations at all orders, J. Comput. Phys., 394, 298-328
A. Hazra, G. Lube, H. Raumer, Numerical simulation of Bloch equations for dynamic magnetic resonance imaging, Appl. Numer. Math., 123, 241-255
