Doctoral Candidate Kelechi Ikegwu successfully defended his dissertation, “Machine Learning and Information-Theoretic Approaches for Financial Applications” on May, 6th and plans to graduate May 2021.
Program Area: Cognitive Science and Language Processing
Research: My research interests are in the field of Machine Learning and recently I have become interested in how Deep Neural Networks learn. This past summer I explored the utility of synthetic data for training deep-learning systems to be used in real-world settings. I’m currently working with Dr. Brunner to further improve a tool that acts as a meta-language for expressing machine learning operations.
PhD Student Daniela Markazi was selected from over 200 students as one of the 2021 SIGHPC Fellowship winners. The Association for Computing Machinery’s (ACM) Special