IEEE Signal Processing Society at UF

IEEE SPS projects

Student-facing research engineering, workshops, neurotechnology prototypes, robotics, and open-source systems through IEEE SPS at UF.

IEEE Signal Processing Society logo.
IEEE SPS @ UF · curriculum · workshops

IEEE SPS @ UF — curriculum & workshops

Workshop series that connects analysis, probability, and machine learning to applied signal-processing case studies, with materials designed to be approachable for newcomers.

EducationSignal processingJupyter notebooks
Aude project logo.
IEEE SPS @ UF · audio ML · ICASSP track

Aude — biologically plausible audio scene analysis

Aude develops an end-to-end audio research workflow: collect synchronized microphone-array data, benchmark state-of-the-art baselines, and train models for robust source separation and localization.

Source separationLocalizationMulti-mic data capture
Plato’s Cave project logo.
Tools · language + structure · reproducibility

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
Ergo project logo.
IEEE SPS @ UF · neurotech · human-machine systems

Ergo — EMG/EEG biosignal acquisition + dynamical systems

Ergo integrates biosignal hardware, feature extraction, and simulation to test how control systems move between stable and unstable regimes under cooperating vs. competing subjects and fatigue.

EMG + EEGEmbedded acquisitionDynamical stability analysis
Nano robotics project logo.
IEEE SPS @ UF · robotics · systems

Nano — robotics stack (Ergo interface)

Robotics project focused on building a reliable hardware-to-software interface layer (instrumentation, control, and real-time data paths), with planned integration points for Ergo.

RoboticsReal-time systemsHardware/software interface
Ora project logo.
IEEE SPS @ UF · app systems · health analytics

Ora — local-first workout tracker with voice logging

Ora is built to reduce workout logging friction while generating high-quality structured data for ML-assisted progression analysis and coaching workflows.

Local-first dataVoice loggingTraining trend analysis
Vie project logo.
IEEE SPS @ UF · computer vision · CVPR track

Vie — biologically plausible real-time video scene analysis

Vie investigates real-time machine perception systems that jointly model moving and static objects, with reproducible data engineering and demo-first iteration.

Scene understandingReal-time perceptionDataset + annotation pipeline