R. Ramyaa

Assistant Professor, New Mexico Institute of Mining and Technology

Ramyaa's fields of research are Theory of Computation (and Complexity) and Logic, focusing on implicit complexity (relating logical complexity of concepts to computational, resource-based complexity), especially on emerging models of computation, such as stream computation, biological neural networks, etc. She completed her PhD at Indiana University, followed by a postdoc at Ludwig Maximilian University, in Munich. Ramyaa is currently working on biologically realistic neural networks and probabilistic computation.

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