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.