Advisory Board

Professor Garrett E. Katz

Garrett E. Katz, Ph.D. is about to be Assistant Professor of Computer Science at Syracuse University. He studies the neural computations that support cognitive processing in humans and robots.
How does the mind connect with the physical world? This question constitutes one of the most tantalizing remaining frontiers of human knowledge. Both scientic and philosophical, it may never be fully solved, but valuable progress has refined our understanding of the problem, contributed a wealth of empirical data, and provided new approaches and theories. Garrett’s research makes concrete contributions to this progress by developing embodied cognitive computer models. In addition to the grand intellectual challenge, this research is motivated by application areas ranging from medicine (e.g., rehabilitation and treatment of cognitive deficits in humans) to robotics (e.g., assisted living and autonomous disaster recovery).
Garrett coauthored Using Directional Fibers to Locate Fixed Points of Recurrent Neural Networks, Imitation Learning as Cause-Effect Reasoning, A Novel Parsimonious Cause-Effect Reasoning Algorithm for Robot Imitation and Plan Recognition, An Empirical Characterization of Parsimonious Intention Inference for Cognitive-level Imitation Learning, and SMILE: Simulator for Maryland Imitation Learning Environment.
Garrett earned his B.A. in Philosophy at Cornell University in 2007. He earned his M.A. in Mathematics at City College of New York in 2011. He earned his Ph.D. in Computer Science at the University of Maryland in 2017 with the dissertation A Cognitive Robotic Imitation Learning System Based On Cause-Effect Reasoning.
Watch AGI-16 Garrett Katz — Imitation Learning as Cause-Effect Reasoning. Read his Google Scholar profile and his LinkedIn profile.