Caleb Bowyer

Caleb Bowyer is a PhD candidate in engineering at the University of Florida. His dissertation research is on how to best train cooperative autonomous agents from noisy and partially observed data for decision making tasks, primarily focusing on localization applications. He is expected to defend and graduate with his PhD in summer 2025. At the LPRC, he is head of the LPRC’s DETECT research initiative and facilitator of the Data Analytics Working Group (DAWG) that meets monthly. He researches, develops, and implements AI solutions related to detecting theft, fraud, or violence attempts—earlier and further away from retail stores. His goal at the LPRC is to integrate all of the sensors and AI models across the five zones of influence into a production ready system for better alerting of offenders in real-time and detecting repeat offenders on their journey to commit harm and then deflecting that harm.