Adjunct Faculty Recognized for Innovative Use of HPCC Systems in the Community
The Department of Computer science would like to congratulate our Adjunct Faculty member Itauma Itauma. He was recognized for his innovative use of HPCC Systems in the Community at the 2016 HPCC Systems Engineering Summit - Community Day hosted by LexisNexis Risk Solutions on October 12, 2016. The purpose of the Summit is to gather engineering and technology professionals in order to share current information and future plans for the HPCC Systems platform. The conference recognition was based on his Masters' thesis project on Image Classification and Unsupervised Learning in HPCC Systems.
"My next steps will be to explore more machine learning applications using HPCC Systems, for example in learning analytics, as well as set up a Multinode HPCC Systems Lab for Big Data processing," said Itauma.
If you would like to see his project, please click on the following: Itauma's Project