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.
Student-facing research engineering, workshops, neurotechnology prototypes, robotics, and open-source systems through IEEE SPS at UF.
Workshop series that connects analysis, probability, and machine learning to applied signal-processing case studies, with materials designed to be approachable for newcomers.
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.
System that extracts structured nodes (claims, evidence, limitations, etc.) from papers and scores them to support literature review and comparison across a collection.
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.
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.
Ora is built to reduce workout logging friction while generating high-quality structured data for ML-assisted progression analysis and coaching workflows.
Vie investigates real-time machine perception systems that jointly model moving and static objects, with reproducible data engineering and demo-first iteration.