Scholar
Jason Ho
Google Scholar ID: Y2TyTU0AAAAJ
PhD Candidate, University of Texas at Austin
Citations & Impact
Citations
18
H-index
1
i10-index
1
Publications
3
Co-authors
0
Publications
Resume (English only)
Background
- Research interests include ML accelerators, spiking neural networks, analog neuromorphic computing, and any kind of unconventional computing. Currently, his research focuses on using machine learning models as lightweight surrogates for large-scale mixed-signal neuromorphic (brain-like) simulation.
Miscellany
- Interests: Brown Band, Brown Wind Symphony, Engineering Student Ambassador, Engineering Student Mentor, MAPS Mentor
Co-authors