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!
Annabella Wagner‘s, Evren Aslan‘s, and Daniel Marimekala‘s paper, “Predicting Toxic Gas Levels in Structure Fires Using Machine Learning,” was accepted to the 2025 IEEE 16th Annual Ubiquitous Computing, Electronics, and Mobile Communications Conference (UEMCON–2025), held at the IBM Learning Center in Armonk, New York.
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.
Devin Bowler‘s paper “Simulation-Based Smart Home Architecture for Autism Support Using CSI-Based Movement Detection” and Adam Deinhardt‘s paper “IoT for Autism: Analyzing Motor Behaviors in Virtual Environments Using Visual Data” were accepted to the 11th National Workshop for REU Research in Networking and Systems (REUNS 2025) in the 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2025), Chicago, USA.
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!
Maya Nachega won the Best Poster at the Vanderbilt Undergraduate Research Fair (VURF) Engineering, Computer Science, Data Science, and Mathematics category. Congratulations!
Her work: Enhancing Early Autism Diagnosis with Machine Learning Algorithms using Postural Control Features
Faculty Mentor: Yumeng Li, Texas State University
Hiroshi‘s “Fully Auto-Regressive Multi-Modal Large Language Model for Contextual Emotion Recognition” paper has been accepted to the 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). It will be presented in October at the IBM T. J. Watson Research Center in New York.
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.
Hiroshi Nonaka from Soka University of America will work on an extended REU assignment in the High-Performance Engineering (HiPE) research group.