The CIIGAR Logo: a dog holding a cigar, leaning over the word CIIGAR, looking awesome

Zach Cleghern

Graduate Student, Ph.D.

My current research focuses on using machine learning and data science to assist guide dog organizations in predicting future outcomes, using existing data sources and also creating new ones (for example, using an IoT-enabled "smart collar" to gather environmental data on candidate guide dogs).

Previously, I have researched ways to forecast outcomes in a Multiplayer Online Battle Arena (MOBA) game using both time series analysis and deep learning. More generally, I am interested in using machine learning to make predictions and better understand interactions in multi-agent environments, whether the agents are players in a multiplayer game or in the case of guide dog training, candidate dogs and human raisers and trainers.

I am also interested generally in AI, software engineering, procedural content generation, and functional programming.


Journal Articles

Refereed Conference Papers

Refereed Workshop Papers

Unrefereed Publications, Posters, and Other Papers