What is he best known for?
The fields of study he is best known for:
- Mathematical analysis
- Statistics
- Algorithm
The scientist’s investigation covers issues in Algorithm, Seismic wave, Mathematical analysis, Mathematical optimization and Wave equation.
His study on Synthetic data is often connected to Data processing as part of broader study in Algorithm.
His Seismic wave research is multidisciplinary, incorporating elements of Image registration, Reflection, Normal moveout and Continuation.
The study incorporates disciplines such as Fast marching method, Coordinate system and Optics in addition to Mathematical analysis.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Low-pass filter, Regularization, Inversion and Regression.
His research integrates issues of Attenuation and Offset in his study of Wave equation.
His most cited work include:
- Applications of plane-wave destruction filters (470 citations)
- Angle-domain common-image gathers by wavefield continuation methods (437 citations)
- Shaping regularization in geophysical-estimation problems (301 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Algorithm, Mathematical analysis, Artificial intelligence, Extrapolation and Wave equation.
Sergey Fomel usually deals with Algorithm and limits it to topics linked to Mathematical optimization and Applied mathematics.
His work in Mathematical analysis tackles topics such as Anisotropy which are related to areas like Azimuth.
His Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition.
His work deals with themes such as Seismic migration, Seismic wave, Finite difference and Operator, which intersect with Extrapolation.
His Wave equation research includes elements of Amplitude and Offset.
He most often published in these fields:
- Algorithm (25.40%)
- Mathematical analysis (24.71%)
- Artificial intelligence (11.55%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (11.55%)
- Algorithm (25.40%)
- Deep learning (3.93%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Algorithm, Deep learning, Artificial neural network and Convolutional neural network.
His work on Fuzzy logic as part of general Artificial intelligence research is frequently linked to Data processing, thereby connecting diverse disciplines of science.
His Algorithm study also includes fields such as
- Hessian matrix, which have a strong connection to Resolution,
- Interpolation, which have a strong connection to Grid, Data mining and Signal processing.
His Convolutional neural network study deals with Interpretation intersecting with Surface.
The Inversion study combines topics in areas such as Wave equation and Inverse problem.
His Mathematical analysis study combines topics from a wide range of disciplines, such as Time domain, Depth conversion and Attenuation.
Between 2016 and 2021, his most popular works were:
- FaultSeg3D: Using synthetic data sets to train an end-to-end convolutional neural network for 3D seismic fault segmentation (117 citations)
- Automatic salt-body classification using a deep convolutional neural network (55 citations)
- Convolutional neural networks for fault interpretation in seismic images (51 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mathematical analysis
- Statistics
Sergey Fomel mostly deals with Artificial intelligence, Convolutional neural network, Artificial neural network, Interpretation and Pattern recognition.
His study focuses on the intersection of Interpretation and fields such as Surface with connections in the field of Algorithm.
His Inverse problem research incorporates themes from Inversion and Wave equation.
His Inversion research includes themes of Amplitude, Extrapolation, Mathematical analysis and Mathematical optimization.
His Extrapolation research focuses on subjects like Diffraction, which are linked to Reflection.
Sergey Fomel has researched Mathematical analysis in several fields, including Seismic migration and Wave propagation, Optics.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
