What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Surgery
- Mathematical analysis
Her main research concerns Finite element method, Constitutive equation, Mathematical analysis, Anatomy and Neuroscience.
Her research integrates issues of Discretization, Displacement and Applied mathematics in her study of Finite element method.
Her Constitutive equation research includes themes of Numerical analysis, Hyperelastic material, Classical mechanics and Simple shear.
Her studies in Anatomy integrate themes in fields like Inverse finite element analysis, Fluoroscopy and Material properties.
Her Neuroscience research integrates issues from Mechanical engineering and Disease progression.
Her work deals with themes such as Mechanics and Sarcomerogenesis, Sarcomere, which intersect with Finite strain theory.
Her most cited work include:
- Perspectives on biological growth and remodeling (309 citations)
- Mechanical properties of gray and white matter brain tissue by indentation. (276 citations)
- Mechanical characterization of human brain tissue. (199 citations)
What are the main themes of her work throughout her whole career to date?
Finite element method, Neuroscience, Biomedical engineering, Mechanics and Cardiology are her primary areas of study.
Her research investigates the connection with Finite element method and areas like Applied mathematics which intersect with concerns in Mathematical optimization.
Ellen Kuhl interconnects Neurodegeneration and Disease in the investigation of issues within Neuroscience.
As part of her studies on Mechanics, she often connects relevant subjects like Finite strain theory.
She works mostly in the field of Constitutive equation, limiting it down to topics relating to Classical mechanics and, in certain cases, Transverse isotropy, as a part of the same area of interest.
The concepts of her Mitral valve study are interwoven with issues in Mitral regurgitation, Biplane, Anatomy and Cardiac cycle.
She most often published in these fields:
- Finite element method (24.78%)
- Neuroscience (11.53%)
- Biomedical engineering (11.24%)
What were the highlights of her more recent work (between 2018-2021)?
- Neuroscience (11.53%)
- Artificial intelligence (5.76%)
- Machine learning (4.61%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Neuroscience, Artificial intelligence, Machine learning, Pandemic and Outbreak.
When carried out as part of a general Neuroscience research project, her work on Human brain is frequently linked to work in Morphogenesis, therefore connecting diverse disciplines of study.
The Artificial intelligence study combines topics in areas such as Uncertainty quantification and Disease progression.
Her Machine learning study combines topics from a wide range of disciplines, such as Experimental data and Surgical procedures.
In her work, Biomechanics is strongly intertwined with Current, which is a subfield of Mechanobiology.
Her Biomechanics study integrates concerns from other disciplines, such as Neural tissue engineering and Constitutive equation.
Between 2018 and 2021, her most popular works were:
- Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions. (100 citations)
- Integrating machine learning and multiscale modeling-perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. (86 citations)
- Outbreak dynamics of COVID-19 in China and the United States. (68 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Surgery
- Composite material
Ellen Kuhl mostly deals with Artificial intelligence, Machine learning, Neuroscience, Pandemic and Disease.
Her Artificial intelligence study incorporates themes from Uncertainty quantification and Multiscale modeling.
Her Multiscale modeling research is multidisciplinary, incorporating perspectives in Biomedicine, State and Systems biology.
Her Machine learning research is multidisciplinary, incorporating elements of Probabilistic logic and Sparse approximation.
Ellen Kuhl combines subjects such as Living systems, Soft tissue and Mechanobiology with her study of Neuroscience.
Her Disease course of study focuses on Protein folding and Prion protein, Amyloid, Parkinson's disease and Amyotrophic lateral sclerosis.
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