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.
First Year Informatics PhD Students Present on AI and Gamification within Heritage Education
“From Past to Present: A Study of AI-driven Gamification in Heritage Education,” co-authored by first year Informatics PhD students Sepehr Vaez Afshar and Sarvin Eshaghi