Joshua Hatfield is a Ph.D. student in Computer Science at the Colorado School of Mines specializing in human-computer interaction and human-centered artificial intelligence. He earned his M.S. in Computer Science from Marshall University, where his research included immersive training systems and adaptive feedback in virtual reality.

His research focuses on intelligent systems that understand, support, and adapt to human behavior, with particular interests in human-AI interaction, VR/XR, multimodal and egocentric sensing, uncertainty-aware AI, adaptive training, and AI-assisted decision support. His work has explored VR-based industrial maintenance training, behavioral telemetry and adaptive feedback, agent-based community resilience modeling, FPGA-based secure entropy generation, and machine-learning systems. His current research interests center on developing trustworthy AI systems that can interpret human activity, estimate uncertainty and user needs, and determine when and how to provide effective assistance.