Michael Steinbach
Researchers, Research Professional 6
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About
Michael Steinbach is a Research Professional 6 at the University of Minnesota, USA. His research focuses on the application of machine learning techniques to various domains including hydrology, engineering, and healthcare. Recent articles include topics such as combining self-supervised learning with privileged information, and utilizing artificial intelligence for modeling complex systems and disease trajectories.
Articles (10)
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
There is a growing consensus that solutions to complex science and engineering problems require novel methodologies that are able to integrate traditional physics-based modeling approaches with state-of-the-art machine learning (ML) techniques. This article provides a structured overview of such techniques. Application-centric objective areas for which these approaches have been applied are summarized, and then classes of methodologies used to construct physics-guided ML models and hybrid physics-ML frameworks are described. We then provide a taxonomy of these existing techniques, which uncovers knowledge gaps and potential crossovers of methods between disciplines that can serve as ideas for future research.
Year:
2022
Collaborators (2)
Vipin Kumar
University of Minnesota
Christopher Duffy
Professor Emeritus
Pennsylvania State University
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