Grad Student, Max Ferguson, was recognized for the Achievement of Best Paper at the 2016 IEEE Big Data Conference in Washington, D.C. on December 7, 2016. His paper was entitled, Evaluation of a PMML-Based GPR Scoring Engine on a Cloud Platform and Microcomputer Board for Smart Manufacturing. Ferguson is advised by Professor Kincho Law.
