500 MIDAS affiliate faculty members come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.
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Batteries, Fuel-Cells, Model Multivariable Predictive Experimental Identification Engines
Enhancing Eye Care Using Big Data
Automated image analysis; medical image segmentation; clinical decision support systems; AI/ML clinical trials; Crohn's disease; ulcerative colitis; IBD
Applied probability and statistics for stochastic processes
Scalable parallel algorithms for large scientific problems
Randomized approximation algorithms for massive data sets
Efficient management of a large number of devices through distributed intelligence
Stochastic modeling, decision and control theory and applications to networks
Statistical methodology for high-dimensional problems
Materials Discovery and Design, Materials Informatics
Uncertainty quantification, decision-making
adaptation, classification, estimation, modeling, predictive control, real-time optimization
Integrated Computational Materials Engineering (ICME), Materials Informatics and Quantum Computing.
Social factors of health behaviors and health outcomes