Catherine Schuman
Assistant Professor at U. Tennessee, expert in evolutionary algorithms for SNNs and neuromorphic systems. Co-leads TENNLab. DOE Early Career Award recipient.
Catherine Schuman
Catherine (Katie) Schuman is an Assistant Professor in the Department
of Electrical Engineering and Computer Science at the University of Tennessee
(UT). She received her Ph.D. in Computer Science from UT in 2015, where she completed
her dissertation on the use of evolutionary algorithms to train spiking neural
networks for neuromorphic systems. Katie previously served as a research scientist
at Oak Ridge National Laboratory, where her research focused on algorithms and
applications of neuromorphic systems.
Katie co-leads the TENNLab Neuromorphic Computing Research Group at UT. She has
over 100 publications as well as seven patents in the field of neuromorphic computing.
She received the Department of Energy Early Career Award in 2019.
Contributions
Initiatives
- Founding Advisors
Supported the initial conception of Open Neuromorphic
Workshops
- Evolutionary Optimization for Neuromorphic Systems
March 21, 2023 at 18:00 - 19:30 CET
Dive into evolutionary optimization techniques for neuromorphic systems with Catherine Schuman, an expert in the field. Watch the recorded workshop for valuable insights.