What is he best known for?
The fields of study Geert Lombaert is best known for:
- Statistics
- System identification
- Kalman filter
In his study, Stability (learning theory) is inextricably linked to Machine learning, which falls within the broad field of Identifiability.
Geert Lombaert conducts interdisciplinary study in the fields of Stability (learning theory) and Machine learning through his works.
He focuses mostly in the field of Ballast, narrowing it down to matters related to Electrical engineering and, in some cases, Frequency response.
His research on Frequency response often connects related topics like Electrical engineering.
Many of his studies on Structural engineering involve topics that are commonly interrelated, such as Span (engineering).
His research combines Dynamics (music) and Acoustics.
Dynamics (music) and Acoustics are commonly linked in his work.
Control theory (sociology) is closely attributed to Artificial intelligence in his study.
As part of his studies on Artificial intelligence, Geert Lombaert frequently links adjacent subjects like Control (management).
His most cited work include:
- An augmented Kalman filter for force identification in structural dynamics (285 citations)
- Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors (182 citations)
- Improving interval analysis in finite element calculations by means of affine arithmetic (124 citations)
What are the main themes of his work throughout his whole career to date
Geert Lombaert integrates many fields, such as Structural engineering and engineering, in his works.
Geert Lombaert integrates many fields in his works, including Electrical engineering and Acoustics.
Geert Lombaert performs multidisciplinary studies into Acoustics and Vibration in his work.
In his works, he conducts interdisciplinary research on Vibration and Modal analysis.
Geert Lombaert conducted interdisciplinary study in his works that combined Mechanical engineering and Structural engineering.
He incorporates Artificial intelligence and Algorithm in his research.
His study deals with a combination of Algorithm and Artificial intelligence.
In his works, he conducts interdisciplinary research on Finite element method and Modal analysis.
His Geometry study frequently draws connections to other fields, such as Reduction (mathematics).
Geert Lombaert most often published in these fields:
- Structural engineering (65.00%)
- Acoustics (47.50%)
- Vibration (40.00%)
What were the highlights of his more recent work (between 2019-2022)?
- Structural engineering (100.00%)
- Artificial intelligence (75.00%)
- Bridge (graph theory) (50.00%)
In recent works Geert Lombaert was focusing on the following fields of study:
Geert Lombaert frequently studies issues relating to Retrofitting and Structural engineering.
His research brings together the fields of Principal component analysis and Artificial intelligence.
His study on Bridge (graph theory) is mostly dedicated to connecting different topics, such as Internal medicine.
His work on Internal medicine is being expanded to include thematically relevant topics such as Bridge (graph theory).
Geert Lombaert integrates Acoustics with Electrical engineering in his study.
He integrates Electrical engineering and Acoustics in his research.
Geert Lombaert integrates several fields in his works, including Vibration and Natural frequency.
In his study, Geert Lombaert carries out multidisciplinary Natural frequency and Vibration research.
Geert Lombaert integrates many fields, such as Forensic engineering and Structural engineering, in his works.
Between 2019 and 2022, his most popular works were:
- Validation of vibration-based structural health monitoring on retrofitted railway bridge KW51 (28 citations)
- Monitoring Railway Bridge KW51 Before, During, and After Retrofitting (26 citations)
- Pedestrian-Induced Vibrations of Footbridges: An Extended Spectral Approach (10 citations)
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