The STMI lab (pronounced stem-ee) was formed to develop truly integrative end-to-end solutions of smart systems to improve patient care and patient lives. We focus on the intersection of machine learning, embedded systems, and clinical outcomes research to develop new technologies that can be used to improve patient care and patient lives:
At its core, these problems require understanding the theoretical properties of the platforms as well as the data. Developing new models to interpret and improve clinical understanding and motivating the collection of new data leads to challenges in systems design, power, communication, and user interface design. In isolation, each field might provide solutions that can be adapted to the others, but by focusing on the end-to-end aspect of our designs, we explore the creation of systems that bridge theoretical gaps in each field as well as the gaps in multi-disciplinary adoption of these technologies.
We are looking for passionate new PhD students, Master, and undergraduate students to join the team (more info) !
1 Published Paper! The STMI lab congratulates Zhale Nowroozilarki for her paper accepted by BSN 2025!
30 June 20251 Published Paper! The STMI lab congratulates Zhale Nowroozilarki for her paper accepted by EMBC 2025!
25 June 20251 Published Journal! The STMI lab congratulates Nate Hurley for his journal paper accepted by PLOS Digital Health 2025!
17 May 2025New Lab Member! The STMI lab is excited to welcome Gefei Shen to our lab as a new PhD student!
17 May 2025Graduation! The STMI lab is excited to announce the graduation of our PhD student Arash Pakbin and Zhale Nowroozilarki!
STMI Lab @ Texas A&M University
