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
Peyton Andras is a PhD student in computer science. His research focuses on artificial intelligence, cybersecurity, and emerging technologies. He holds a bachelor’s degree in computer science with a concentration in cybersecurity. He is currently working on deep learning approaches to security for embedded systems and stereo vision for event-based cameras.
Artificial intelligenceCybersecurityEmbedded systemsEvent-based cameras