3rd Annual IEEE EMBS Lone Star Section Workshop on AI and Healthcare

IEEE Lone Star Section EMBS Chapter will host a half-day workshop on AI and Healthcare featuring our Keynote, Panel Discussion, Networking and Poster session at the Texas State University STAR Park Conference facility in San Marcos, Texas on December 3, 2026. This year’s workshop will highlight the integration of AI into clinical practice, with discussions on equity, and real-world impact in healthcare.

IMPORTANT DATES

Poster title and abstract submission less than 500 words: November 28, 2026

Program Agenda

8:30 AM: Registration and breakfast

9:00-9:15 AM: Introduction and Welcome by TXST

9:15-10:15 AM: Keynote Lecture

10:15-11:15 AM: Panel Discussion (Bias in AI)

11:15-11:45 AM: IEEE Lone Star Section Presentation

11:45-12:45 PM: Lunch (BBQ)

12:45-2:15 PM: Poster presentations

2:15 PM: Wrap up and closing remarks

2:30 PM: Workshop Adjourn

Keynote Speaker

David Holmes III, PhD, Mayo Clinic Graduate School of Biomedical Sciences

 

Biography

David R. Holmes III, Ph.D. is a Professor of Biomedical Engineering at Mayo Clinic. He studies the methods by which healthcare researchers analyze and interpret large data sets. Dr. Holmes conducts his research from the perspective that data drives decisions. In the case of personal health, individual and population-based data can inform health decisions, disease characterization and therapy planning. The use of Artificial Intelligence in healthcare has revolutionized biomedical research and clinical care, allowing for real-time mining the clinical and imaging data that exist within the electronic medical record yielding better-individualized strategies for patient health.

An experienced educator, Dr. Holmes has mentored students across various levels, many of whom have received prestigious fellowships and hold leadership positions in academia and industry. Dr. Holmes is also the Program Director for the Mayo Graduate School Masters of Artificial Intelligence in Healthcare. This unique educational program trains future clinical practitioners, biomedical scientists, and healthcare leaders to adopt an integrated approach to improving human health which leverages Artificial Intelligence principles and tools in clinical care, discovery science, and healthcare decision making.

Beyond academia, Dr. Holmes actively contributes to the IEEE Engineering in Medicine and Biology Society, serving as Chair of the IEEE Southern Minnesota Section EMBS Chapter. He leads community outreach initiatives, including the IEEE Science Movie Night, engaging students in biomedical engineering. His dedication to research, education, and outreach reinforces his impact on healthcare innovation and mentorship.

 

Panelists

Jonathan Esquivel, Research Computer  Scientist, Southwest Research Institute
Paul Rad, PhD, Associate Dean for Research and Partnerships, Computer Science, Associate Professor, UTSA
John Urban, Executive Director Burkhart Research Institute of Orthopaedics
Mario Guerra, Associate Vice President of AI Platforms and Innovation, Enterprise Learning Technology, UT Austin

SPONSORS