Data Science & Analytics West Michigan
September 09, 2019
Wednesday, 9/11, from 6 to 8 PM at DeVos Center, GVSU
The presentation will be delivered by Michael Bloem, PhD, and will be entitled "A Gentle Introduction to Bayesian & Kalman Filters." The talk will introduce the Discrete Bayes Filter by demonstrating how such a filter can estimate the location of a dog in an office over time using measurements sent by its IoT-enabled collar. He will then introduce the Kalman Filter as a type of Bayes Filter and share results of applying a Kalman Filter to the estimation of trajectories of aircraft on the airport surface from surveillance data.
Michael Bloem is a principal data scientist with Mosaic Data Science. In this role, he leads and executes the design, development, and deployment of data science-enabled solutions with organizations in a variety of verticals. Prior to joining Mosaic Data Science, he led the development of analytics that enabled new Internet-of-Things-based products and services at Steelcase, Inc. and researched air traffic management in the Systems Modeling and Optimization branch of the Aviation Systems Division at NASA Ames Research Center.