CNEL
CNEL projects
EEG, voltage imaging, biological time-series modeling, and experiment infrastructure connected to CNEL research at UF.
Research overview
Research, publications, and public proof
My work is organized around lab-focused research in CNEL and engineering, workshop, and prototype work through IEEE SPS at UF. The common thread is signal processing that remains useful when the data is noisy, the hardware is imperfect, and the deployment constraints are real.
IEEE SPS @ UF
IEEE SPS projects
Student-facing research engineering, workshops, neurotechnology prototypes, robotics, and open-source systems through IEEE SPS at UF.
Featured project pages
Canonical project pages with collaborators, scope, and related work.
EEG-based sentiment & brain-state tracking (CNEL × Sony × LB3 dataset)
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.
Electroencephalography (EEG)State-space modeling (HLDS)Sony–UF ‘LB3’ dataset (internal codename)
Zebrafish voltage imaging: event detection & interpretation
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.
Voltage imaging (video)Event detectionStatistical detectors (CFAR-style)Quadratic Gamma Discriminator (QGD)
Time-series ML experiment library
Reusable experiment scaffolding for time-series ML: standardized configs, runs, metrics, and plots so model comparisons are fair and repeatable.
Time-series modelingExperiment trackingGPU acceleration
Plato’s Cave
System that extracts structured nodes (claims, evidence, limitations, etc.) from papers and scores them to support literature review and comparison across a collection.
Large language models (LLMs)Research toolingReproducibility
Publications, talks, and public proof
The strongest external references are grouped here so visitors can verify the research identity quickly: paper indexes, official UF coverage, talk recordings, and related project pages.
Preprint
Plato's Cave: A Human-Centered Research Verification System
March 2026 · arXiv
This preprint documents the Plato's Cave system for structured claims, agent-based verification, and human-centered research review.
Research identity
Persistent profiles
ORCID, Google Scholar, and the CV provide the shortest verification path for academic visitors.
Talk
Foundations of Signal Processing
2025 · UF Data Science & Informatics · DSI Spring Symposium
Public signal-processing workshop recording connected to IEEE SPS at UF.
Official coverage
UF coverage and recognition
University pages connect the work to UF AI, UF ECE, and public award context.
Writing connected to the work
Short public notes that explain what I care about, what I am learning, and where the research is moving.
Why I care about state-space models for EEG
EEG work gets more informative when temporal structure is part of the model instead of something the pipeline averages away.
eegstate-space modelssignal processing
Building an EEG/EMG helmet from scratch
Biosignal research gets cleaner when hardware, firmware, and modeling are treated as one system instead of three separate concerns.
eegemghardwareneuroengineering
Teaching analysis and ML with Jupyter at UF
Workshop design works better when theory and application are taught as one loop instead of two separate tracks.
teachingmachine learningjupyter