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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
I specialize in using computational methods to solve partial differential equations. My research focuses on creating higher order schemes based on finite volume and discontinuous Galerkin techniques to achieve highly accurate solutions. I have experience in applying these methods to fields such as electrodynamics, magnetohydrodynamics, and numerical simulations of flow MRI.
Furthermore, I am intrigued by exploring innovative computational frameworks for fluid flows, encompassing both compressible and incompressible scenarios. My knowledge in scientific computing includes scheme development, high-performance computing using GPGPUs, and applying these techniques to engineering and scientific problems.
In addition to my primary research, I am also fascinated by the potential of machine and deep learning techniques to solve problems in science and engineering. Specifically, I am focused on developing deep learning-based methods to solve inverse problems and apply them to real-world challenges in engineering.
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Teaching
Upcoming Semester:
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ME 3601 Computational Fluid Dynamics, IIT Palakkad, 2023 (Jointly with Dr. Ganesh Natarajan)
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ME 1130 Engineering Drawing, IIT Palakkad, 2023 (Co-teacher)
Previous Semesters:
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Introduction to Machine Learning, 2023, GITAM University
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Operations Research, 2022, GITAM University
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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
