William Edward Hahn

William Edward Hahn is an Associate Professor in the Department of Mathematics and Statistics at Florida Atlantic University (FAU), where he co-directs the Machine Perception and Cognitive Robotics Laboratory (MPCR) and the FAU AI Sandbox. His research bridges mathematical theory with practical AI applications across diverse domains including finance, healthcare, and robotics.

Dr. Hahn's academic foundation:

• Ph.D. in Complex Systems, Florida Atlantic University (2016)
• B.S. in Physics and Mathematics, Guilford College (2008)

His core research integrates:

• Compressed Sensing & Sparse Modeling: Developing efficient signal reconstruction algorithms with applications in medical imaging and data analysis.
• Deep Learning & Machine Learning: Creating neural network architectures for financial forecasting, drug discovery, and autonomous systems.
• Computer Vision & Computational Neuroscience: Modeling human perception through gait analysis and biomimetic systems.

Analysis of his 2018-2022 publications reveals a strategic evolution from theoretical sparse coding to applied deep learning. Key trends include bio-inspired modular architectures for general learning, transformer networks for molecular binding prediction, and GANs for robotic telesurgery. His work consistently addresses real-world challenges in substance abuse monitoring, financial markets, and medical robotics through interdisciplinary approaches.

As co-director of the MPCR Lab and FAU AI Sandbox, Dr. Hahn leads initiatives that merge cognitive science with machine perception, providing critical infrastructure for AI experimentation and education while advancing the frontiers of human-robot interaction and computational neuroscience.