Ian U.

Projects

• End-to-End Intelligent Cardiorespiratory Monitor Active

  A full-stack wearable system in collaboration with the Drexel Wireless Systems Lab for continuous, ambulatory cardiorespiratory monitoring. The project integrates signal acquisition, edge processing, and machine learning inference for real-time health monitoring outside clinical settings, and includes the IoT Sensor Framework (a HIPAA-compliant platform for collecting data from IoT-based sensors including knitted smart textiles) and the IoT Processing Framework (real-time and offline signal processing and machine learning on sensor data), both developed with the Drexel Wireless Systems Lab. Related student work includes multi-semester research in RF-based biomedical signal acquisition and analysis using wearable IoT devices (conducted across CS391 and CS394), independent study in multi-sensor data fusion techniques for wearable and IoT applications (conducted in CS392), and a machine learning pipeline for minute-level and subject-level sleep apnea detection using ECG signals (presented at Ursinus CoSA 2026 by Andrei Bogdan). We became involved in this research in 2013.

• RF Antenna State Selection for Localization and Tracking Active

  Research into intelligent antenna state selection for RFID-based sensing in collaboration with the Drexel Wireless Systems Lab, targeting improved read range and accuracy in multi-tag environments. Related student research includes RFID-based indoor localization, multi-tag tracking, and dynamic radar sensing techniques, as well as research and educational module development for software-defined radio (SDR) platforms in smart-grid communication scenarios, conducted across CS392 and CS394. We became involved in this research in 2016.