News
- Two PQL Researchers cross the country to BHI 2025Fourth year PhD student Luis Mercado Diaz and Amir Karimi Forood headed to Los Angles for this years International Conference on Biomedical and Health Informatics. Luis presenting work on ERG Graph Classification methods for diagnostic applications while Amir debuted simulation based evaluation of AC vs. DC Electrodermal Activity circuits. Splendid work boys!Posted on November 21, 2025
- Welcome our new Post Doc Juan to PQL!Juan David Romero Ante, Ph.D. from Miguel Hernandez University in Spain, is visiting our lab as Post Doc for the Fall 25′ assessing with biosignal device development and testing. Welcome to UConn Juan!Posted on November 1, 2025
- PQL Takes on Eindhoven – EMBC 2025Last week, Dr. Posada-Quintero and Javier represented the lab while participating in the IEEE Engineering Medicine and Biology Society’s annual conference in the Netherlands! Together they presented the advances in our work: “Exploring Deep Learning in Electrodermal Activity Recording for Continuous Detection of Pain Intensity Level” Javier O. Pinzon-Arenas,Youngsun Kong,Wendy A. Henderson, Xiaomei Cong, Ming-Hui […]Posted on July 24, 2025
Posada Q Lab at a Glance
Applied Physiological Signal Processing
1 Post Doctoral Fellow
7 PhD + 1 Masters Students
6 Undergraduate Research Assistants
$6,906,800
Awarded to Date
Grants &
Awards from:
National Institute of Health,
Office of Naval Research,
DOD, NIUVT,
MOMRP, UNEIC,
Industry Sponsors and more
Biosignal Research with: EDA, ECG, ERG, EMG, MRI
Lab Mission Statement:
Exploring the multimodal use of physiological signals to monitor, detect, and understand diseases, disorders, and emotions for the improvement of human health and well being.
Curious about what biomedical signals are? Wondering why they might be relevant?
Check out this short synopsis of our work and some of the applications of physiological signal processing!
Grants Awarded
Our lab has received grants from a wide range of organizations and foundations
Areas of Interest
Biological Signal Processing, Sleep Deprivation, Machine Learning, Device Development, and more