What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Composite material
- Optics
Xavier Maldague mainly investigates Thermography, Nondestructive testing, Optics, Composite material and Artificial intelligence.
To a larger extent, Xavier Maldague studies Infrared with the aim of understanding Thermography.
The Nondestructive testing study combines topics in areas such as Image processing, Artificial neural network, Electronic engineering and Thermographic inspection.
In the field of Optics, his study on Pulse, Holographic interferometry and Holography overlaps with subjects such as High resolution.
His biological study spans a wide range of topics, including Basalt and Finite volume method.
The study incorporates disciplines such as Computer vision and Pattern recognition in addition to Artificial intelligence.
His most cited work include:
- Theory and Practice of Infrared Technology for Nondestructive Testing (1184 citations)
- Pulse phase infrared thermography (678 citations)
- Nondestructive evaluation of materials by infrared thermography (290 citations)
What are the main themes of his work throughout his whole career to date?
Xavier Maldague mostly deals with Thermography, Nondestructive testing, Artificial intelligence, Optics and Infrared.
A large part of his Thermography studies is devoted to Thermographic inspection.
His Nondestructive testing study incorporates themes from Structural engineering, Infrared vision, Signal processing, Electronic engineering and Aerospace.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Computer vision and Pattern recognition.
His Infrared research is multidisciplinary, incorporating elements of Optoelectronics and Remote sensing.
The concepts of his Composite material study are interwoven with issues in Characterization and Ultrasonic sensor.
He most often published in these fields:
- Thermography (60.71%)
- Nondestructive testing (36.43%)
- Artificial intelligence (26.43%)
What were the highlights of his more recent work (between 2015-2021)?
- Thermography (60.71%)
- Artificial intelligence (26.43%)
- Nondestructive testing (36.43%)
In recent papers he was focusing on the following fields of study:
Xavier Maldague mainly investigates Thermography, Artificial intelligence, Nondestructive testing, Infrared and Composite material.
Optics covers he research in Thermography.
His Artificial intelligence research includes themes of Field, Computer vision and Pattern recognition.
His study looks at the intersection of Nondestructive testing and topics like Automotive engineering with Thermographic imaging.
His Infrared research is multidisciplinary, relying on both Structural engineering, Emissivity and Remote sensing.
The various areas that he examines in his Composite material study include Ultrasonic sensor and Finite element method.
Between 2015 and 2021, his most popular works were:
- Non-destructive Investigation of Paintings on Canvas by Continuous Wave Terahertz Imaging and Flash Thermography (72 citations)
- Optical and Mechanical Excitation Thermography for Impact Response in Basalt-Carbon Hybrid Fiber-Reinforced Composite Laminates (63 citations)
- Thermal (IR) and Other NDT Techniques for Improved Material Inspection (58 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Composite material
- Optics
His primary areas of investigation include Thermography, Nondestructive testing, Artificial intelligence, Composite material and Acoustics.
Thermography is a subfield of Optics that he explores.
His Nondestructive testing study integrates concerns from other disciplines, such as Thermographic imaging, Automotive engineering and Infrared vision.
His research in Artificial intelligence intersects with topics in Infrared, Computer vision and Pattern recognition.
His Carbon fiber reinforced polymer, Solid mechanics and Bast fibre study in the realm of Composite material connects with subjects such as Industrial chemistry.
His Acoustics research is multidisciplinary, relying on both Glass fiber, Computer simulation and Signal processing.
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