Devin Bowler and Adam Deinhardt presented their summer research work at the IEEE MASS 2025 – REUNS 2025 Workshop in Chicago, IL! Congratulations on your publications!

REU: AI, Data Analytics, and Mixed Reality for Smart and Connected Health
at Texas State University/Texas A&M-San Antonio
Devin Bowler and Adam Deinhardt presented their summer research work at the IEEE MASS 2025 – REUNS 2025 Workshop in Chicago, IL! Congratulations on your publications!

Mae Olsen‘s, Jorge Pineda‘s, and Pema Sherpa‘s paper “The Use of Machine Learning to Model Player Readiness in Female Collegiate Volleyball Players” was accepted to the 2025 IEEE 16th Annual Ubiquitous Computing, Electronics, and Mobile Communications Conference (UEMCON–2025), IBM Learning Center, Armonk, New York.

We want to thank NXP’s Smart Home Innovation Lab staff for hosting us and showing us the massive possibilities and innovations of engineering new capabilities for homes!

Ana presented her REU research poster titled “Understanding Emotion Perception in Neurotypical and Neurodivergent Individuals” at the American Speech Language Hearing Association (ASHA) Convention in Seattle.

Jessica Li was awarded travel funds to attend and present her paper at the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2024 in Lisbon, Portugal

Jessica Li’s paper “Data Augmentation for Classifying Multiple Sclerosis Severity through Inertial Measurement Unit-Based Gait Analysis” has been accepted to the AIBH Workshop at the 2024 IEEE BIMB and will be presented in December in Lisbon, Portugal.

Maya Nachega’s, Sugru Yahaya’s, and Ila Wallace’s “Enhancing Early Diagnosis of Autism With Machine Learning Algorithms Using Postural Control Features” collaborative paper has been accepted to the 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) and will be presented in October at the IBM T. J. Watson Research Center, New York.

Dr. Ting Liu presented Project #6’s work, “Enhancing Early Diagnosis of Autism Spectrum Disorder with Machine Learning Algorithms Using Postural Control Features,” at the 2024 DCD15-IMDRC6 in Ghent, Belgium.

Sugru Yahaya from Purdue University will be working on an extended Project Activity 6 – Enhancing early diagnosis of autism with machine learning algorithms using postural control features.

Maya Nachega from Vanderbilt University will work on Project Activity 6, Enhancing early autism diagnosis with machine learning algorithms using postural control features.
