What is she best known for?
The fields of study she is best known for:
- Statistics
- Optics
- Mathematical analysis
Mrinal K. Sen mainly investigates Mathematical analysis, Simulated annealing, Algorithm, Mathematical optimization and Finite difference method.
Her Mathematical analysis study combines topics from a wide range of disciplines, such as Wave propagation and Discontinuous Galerkin method.
Her work on Adaptive simulated annealing is typically connected to Population as part of general Simulated annealing study, connecting several disciplines of science.
Her study in Algorithm is interdisciplinary in nature, drawing from both Inverse problem, Inversion, Seismic inversion, Seismogram and Hybrid Monte Carlo.
Her work carried out in the field of Mathematical optimization brings together such families of science as Hydrogeology, Probability distribution, Oil well and Reservoir modeling.
Mrinal K. Sen interconnects Acoustic wave equation, Tridiagonal matrix and Order of accuracy in the investigation of issues within Finite difference method.
Her most cited work include:
- Global Optimization Methods in Geophysical Inversion (635 citations)
- Nonlinear one-dimensional seismic waveform inversion using simulated annealing (369 citations)
- Nonlinear multiparameter optimization using genetic algorithms; inversion of plane-wave seismograms (305 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Inversion, Algorithm, Mathematical analysis, Seismology and Seismic inversion.
Mrinal K. Sen has included themes like Prestack, Mathematical optimization and Inverse problem in her Inversion study.
Her study involves Simulated annealing and Synthetic data, a branch of Algorithm.
Simulated annealing connects with themes related to Global optimization in her study.
The various areas that Mrinal K. Sen examines in her Mathematical analysis study include Wave propagation and Plane wave.
Her Seismology research incorporates elements of Amplitude, Mineralogy, Geophysics and Anisotropy.
She most often published in these fields:
- Inversion (21.67%)
- Algorithm (18.65%)
- Mathematical analysis (16.70%)
What were the highlights of her more recent work (between 2016-2021)?
- Inversion (21.67%)
- Algorithm (18.65%)
- Photonic crystal (3.73%)
In recent papers she was focusing on the following fields of study:
Mrinal K. Sen focuses on Inversion, Algorithm, Photonic crystal, Optoelectronics and Mathematical analysis.
Her Inversion research is multidisciplinary, incorporating elements of Prestack, Frequency domain and Geophysics.
Her research in Algorithm intersects with topics in Seismic migration, Deep learning and Seismic inversion.
Her Photonic crystal research is multidisciplinary, incorporating perspectives in Wavelength, Electronic engineering, Finite-difference time-domain method and Refractive index.
Her work on Silicon photonics, Photonics and Photonic crystal waveguides as part of general Optoelectronics study is frequently linked to Fabrication, bridging the gap between disciplines.
Her Mathematical analysis study combines topics in areas such as Wave propagation, Finite element method and Schur complement.
Between 2016 and 2021, her most popular works were:
- Transdimensional seismic inversion using the reversible jump Hamiltonian Monte Carlo algorithm (48 citations)
- Least-squares reverse time migration in elastic media (45 citations)
- Prestack and poststack inversion using a physics-guided convolutional neural network (30 citations)
In her most recent research, the most cited papers focused on:
- Statistics
- Optics
- Artificial intelligence
Her main research concerns Mathematical analysis, Inversion, Algorithm, Photonic crystal and Optics.
Her studies deal with areas such as Acoustic wave equation, Wave propagation and Point as well as Mathematical analysis.
Her Inversion research incorporates elements of Azimuth, Geophysics, Amplitude, Frequency domain and Prestack.
Mrinal K. Sen combines subjects such as Seismic migration, Uncertainty quantification, Reversible-jump Markov chain Monte Carlo and Seismic inversion with her study of Algorithm.
Many of her research projects under Seismic inversion are closely connected to Population with Population, tying the diverse disciplines of science together.
Her work in Optics tackles topics such as Amplifier which are related to areas like Light-emitting diode.
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