What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Optics
Satish S. Udpa mostly deals with Artificial neural network, Finite element method, Eddy-current testing, Magnetic flux leakage and Eddy current.
His work carried out in the field of Artificial neural network brings together such families of science as Inverse problem, Signal processing, Algorithm and Wavelet, Pattern recognition.
As part of the same scientific family, he usually focuses on Finite element method, concentrating on Nuclear magnetic resonance and intersecting with Giant magnetoresistance and Canalisation.
His Acoustics research extends to the thematically linked field of Eddy-current testing.
His research in Magnetic flux leakage focuses on subjects like Magnetic flux, which are connected to Iterative method.
The various areas that Satish S. Udpa examines in his Eddy current study include Signal, Representation, Electromagnetic coil and Massively parallel.
His most cited work include:
- Advanced signal processing of magnetic flux leakage data obtained from seamless gas pipeline (111 citations)
- Pulsed Eddy-Current Based Giant Magnetoresistive System for the Inspection of Aircraft Structures (97 citations)
- Electromagnetic NDE signal inversion by function-approximation neural networks (90 citations)
What are the main themes of his work throughout his whole career to date?
Satish S. Udpa mainly focuses on Eddy current, Acoustics, Electronic engineering, Finite element method and Eddy-current testing.
Satish S. Udpa has included themes like Signal, Excitation and Magnetic flux leakage in his Acoustics study.
His study focuses on the intersection of Magnetic flux leakage and fields such as Wavelet with connections in the field of Artificial neural network.
Satish S. Udpa combines subjects such as Pipeline transport and Signal processing with his study of Electronic engineering.
He works mostly in the field of Finite element method, limiting it down to topics relating to Inverse problem and, in certain cases, Integral equation and Iterative method, as a part of the same area of interest.
His studies deal with areas such as Giant magnetoresistance, Algorithm and Bobbin as well as Eddy-current testing.
He most often published in these fields:
- Eddy current (25.76%)
- Acoustics (25.38%)
- Electronic engineering (20.45%)
What were the highlights of his more recent work (between 2008-2021)?
- Eddy current (25.76%)
- Acoustics (25.38%)
- Eddy-current testing (15.91%)
In recent papers he was focusing on the following fields of study:
Satish S. Udpa mainly investigates Eddy current, Acoustics, Eddy-current testing, Finite element method and Electromagnetic coil.
His Eddy current study incorporates themes from Electronic engineering, Excitation, Rotating magnetic field and Boiler.
His Acoustics research incorporates elements of Finite-difference time-domain method, Sensitivity, Signal, Signal processing and Fastener.
His study in Eddy-current testing is interdisciplinary in nature, drawing from both Giant magnetoresistance, Solver, Bobbin and Computational model.
His research in Finite element method intersects with topics in Ferrite core, Inverse problem and Magnetoresistance.
His Electromagnetic coil research is multidisciplinary, incorporating elements of Magnetic potential and Nuclear magnetic resonance.
Between 2008 and 2021, his most popular works were:
- Pulsed Eddy-Current Based Giant Magnetoresistive System for the Inspection of Aircraft Structures (97 citations)
- Classification of pulsed eddy current GMR data on aircraft structures (62 citations)
- Reduced Magnetic Vector Potential Formulation in the Finite Element Analysis of Eddy Current Nondestructive Testing (47 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Artificial intelligence
- Optics
Satish S. Udpa spends much of his time researching Eddy current, Acoustics, Eddy-current testing, Electromagnetic coil and Finite element method.
The concepts of his Eddy current study are interwoven with issues in Artificial neural network, Boiler, Transient and Rotating magnetic field.
The study incorporates disciplines such as Wave propagation, Excitation, Finite difference method and Finite-difference time-domain method in addition to Acoustics.
His work focuses on many connections between Eddy-current testing and other disciplines, such as Giant magnetoresistance, that overlap with his field of interest in Signal, Fastener, Signal processing and Frequency domain.
His research in Electromagnetic coil tackles topics such as Nuclear magnetic resonance which are related to areas like Magnetic potential.
His Finite element method study combines topics from a wide range of disciplines, such as Iterative method and Numerical stability.
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