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Masakatsu Watanabe

Institution/Organization: Fort Hays State University

Department: Chemistry

Academic Status: Faculty

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering;
Applications in science, engineering, and industry;
Computation with discrete structures and graphs;
Education and interdisciplinary programs in CSE;
Multiscale, multiphysics, and multilevel methods

Interests: 

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 can drugs be delivered effectively to specific areas in the body? How is the information in the protein transmitted for ligand-induced protein conformational changes and allosteric signaling? These questions are not only very interesting but also, fundamentally important to our lives. To answer these fundamental questions, there is an increasing demand for computing long-timescale kinetics of condensed-matter many-body systems. So, my research focus is to build and apply computational tools, such as combining Molecular Dynamics simulation method with Machine learning approach, to take an advantage of experimental data in order to investigate answers on these fundamental questions.

Non-Work Related Activities/Interests: 

None