Evolutionary Optimization for Neuromorphic Systems

Dive into evolutionary optimization techniques for neuromorphic systems with Catherine Schuman, an expert in the field. Watch the recorded workshop for valuable insights.

  • Catherine Schuman
  • March 21, 2023
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Upcoming Workshops

Accelerating Neuromorphic Inference and Training at the Edge - Rain
Maxence Ernoult
2024, Mar 5    6:00 - 7:30 CET
Advances in Neuromorphic Visual Place Recognition
Tobias Fischer
2024, Mar 20    6:00 - 7:30 CET
Evolutionary Optimization for Neuromorphic Systems

About the Speaker

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.

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