Raul Valle is a University of Florida Ph.D. student in Electrical and Computer Engineering working across signal processing, time-series machine learning, neuroengineering, and research software in Gainesville, Florida.
The highest-signal project pages that explain what I am building and why it matters.
Pipeline that turns brain-wave recordings (EEG) into a small set of hidden time-series ‘states’ using a state-space model (Hierarchical Linear Dynamical System, HLDS), then evaluates those states for prediction and separability.
Pipeline for 2D voltage imaging videos that flags ‘events’ (fast, localized changes) using statistical detectors inspired by radar signal processing, producing maps and summaries for downstream analysis.
Reusable experiment scaffolding for time-series ML: standardized configs, runs, metrics, and plots so model comparisons are fair and repeatable.
System that extracts structured nodes (claims, evidence, limitations, etc.) from papers and scores them to support literature review and comparison across a collection.
A public research journal for technical reflections, paper notes, and commentary on what is worth paying attention to.
EEG work gets more informative when temporal structure is part of the model instead of something the pipeline averages away.
Biosignal research gets cleaner when hardware, firmware, and modeling are treated as one system instead of three separate concerns.
Workshop design works better when theory and application are taught as one loop instead of two separate tracks.
One page for papers, talk videos, UF profiles, and public references tied to the work on this site.
The project archive is organized by lab-focused work and student-facing engineering work so the site stays legible.
Portrait and character photography remains part of the site, but clearly secondary to the research and writing surfaces.