Kenneth Ball

Dr. Ball completed his Ph.D. in Mathematics in 2013 at North Carolina State University, where he studied numerical simulation of mechanical systems with variational integrators. He has held postdoctoral positions at the US Army Research Lab (in coordination with the University of Texas at San Antonio) and the US EPA where he researched machine learning for brain-computer interfaces and computational toxicology, respectively.

Dr. Ball offers expertise in mathematical modeling, simulation, and machine learning in a variety of problem domains, along with formal expertise in manifold theory, differential geometry, and dynamical systems. He has developed analytical tools to process and interpret behavioral and physiological responses. He has applied mathematical tools to the analysis of complicated logistics and systems-of-systems problems, behavior predictions, signal/detection modelling, and food/beverage industry processes. He leads a research team investigating the use of topological and image processing tools to support experimental analyses in the agricultural domain. He is especially interested in the interpretation of meaningful and useful features in complicated real-world datasets.