In May 2017, CADS awarded $24,000 in research grants to six faculty members across Miami University. In its inaugural year, the CADS Research Fellowship Program encouraged new research in analytics and data science.
Assistant Professor of Computer Science
Dr. Rao is developing a method for calibrating the parameters of spatio-temporal epidemiological models applied to mosquito-borne diseases such as Zika, Yellow Fever, etc.
Professor of Chemistry
Dr. Gung is developing a spectroscopy database. This database will be used to develop machine learning algorithms to support the drug synthesis process that is a traditionally cumbersome process for organic chemists.
Professor of Biology
Dr. Williamson is working on an initiative with the Miami Ecological Big Data Initiative and CADS to merge high-frequency data from freshwater lake sensors with weather data. His team is exploring the use of cognitive computing in hopes of gaining rapid insights into the influence of climate and environmental changes on freshwater quality and ecosystem function.
Associate Professor of Statistics
Dr. Smucker is developing a unique sampling method to aid in logistic regression model selection in a big data scenario. His work will be directly applied to a data set from Miami University's development office for use in donor selection.
Associate Professors of Statistics
Dr. Fisher and Dr. Zhang are working on adapting Bayesian variable selection methods for predictive models in a large data scenario.
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