Biomedical Engineering, Wearable Tech and Health Informatics

Adobe stock image of specialist biologist researcher analyzing biomedical virus sample using medical microscope working in pharmacology hospital laboratory.

Research in Biomedical Engineering, Wearable Tech and Health Informatics addresses noninvasive biomedical devices, neural implants, and biomedical signal processing. Projects advance closed-loop health monitoring, pain management, and brain-computer interfaces through wireless, batteryless systems and AI-driven diagnostics.

Micro Implantable Devices and AI-enabled Wearable Technologies

Faculty Contacts: J.-C. ChiaoB. Zoghi

Focus for this group includes wireless implants, flexible sensors, and endoscopically implantable devices for real-time physiological monitoring. Applications target chronic disease management and neuromodulation therapies. 

Research also includes the development of more empathetic Machines, Multimodal Physiological Signal Analysis for Predicting Anxiety using AI/ML, and exploration of how Emotional Intelligence can impact leadership performance.

Batteryless and Wireless Neural Implantable Biosensor for Closed-Loop Neurostimulation in Pain Management

Biomedical Signal Processing and Neuroengineering

Faculty Contacts: C. Davila

Research includes signal denoising, evoked potential averaging, and control-theoretic models for modulating neural activity. Collaboration with UTSW supports brain stimulation studies and episodic memory enhancement systems.

Diagram for Brain-Computer Interface Collaboration with UTSW to Enhance Episodic Memory Formation