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Masakatsu Watanabe

Institution/Organization: University of Saint Mary.

Department: Natural Sciences and Mathematics.

Academic Status: Faculty.

What conference theme areas are you interested in:

Computational science and machine learning;
Multiscale, multiphysics, and multilevel methods;
Data science, analytics, and visualization;
Applications in science, engineering, and industry;
Biological and biomedical computations;
Scientific simulation and uncertainty;
Numerical optimization: methods and applications;
Emerging trends in CS&E education and training.


My research interest is to develop and apply numerical analysis and computational methods to investigate fundamental questions related to material and/or biochemical fields; for example, how do amyloid proteins abnormally form plaques in the extracellular space of the brain tissue to cause Alzheimer disease? What causes some proteins to fold abnormally? How does the protein fold to a unique 3-D structure? How can drugs be delivered effectively to specific areas in the body? Can new nanomaterials be utilized therapeutically? These questions are not only very interesting but also fundamentally important to our lives. So, my research focus is to build and apply computational tools to investigate answers on these fundamental questions.

An additional research area is in high performance computing and visualization tools for data.