Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams
Conference paper · Accepted · 38th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
Research identity
Dalton is a PhD student in Computer Science specializing in neuromorphic computing, with an undergraduate concentration in cybersecurity. His research explores how principles of learning in the brain can inform computational models, with the goal of advancing efficient and secure edge AI.
Neuromorphic computingAlgorithm designCybersecurity
Selected publications
All publications →Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge
Conference paper · International Joint Conference on Neural Networks (IJCNN), pp. 1–10