Andrew Buck

Andrew Buck is an Assistant Research Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri. His work focuses on machine learning, intelligent agents, autonomous drones, computer vision, and 3D visualization.

• Education: PhD, MS, BS in Computer Engineering, and BS in Electrical Engineering from the University of Missouri

Andrew Buck's research involves the development of photorealistic synthetic datasets (e.g., HiFiAerial), explainable AI frameworks for drone autonomy, and human-agent teaming dynamics (e.g., trust modeling). He has pioneered multidisciplinary simulation platforms like Mizsim for AI training and evaluation, and contributed to real-time 3D reconstruction techniques combining classical algorithms with deep learning. His work on uncertainty quantification in depth estimation and fuzzy voxel maps demonstrates his interest in probabilistic approaches to perception. A key theme in his publications is the evaluation of AI performance in partially observable environments, including applications in explosive hazard detection and cooperative game scenarios.