Publications

Peer-Review Papers

  • A. Wagner, E. Aslan, D. Marimekala, and D. Valles, “Predicting Toxic Gas Levels in Structure Fires Using Machine Learning,” 2025 IEEE 16th Annual Ubiquitous Computing, Electronics, and Mobile Communications Conference (UEMCON-2025), IBM Learning Center, Armonk, New York, 2025. [Accepted]
  • J. M. Esparragoza, A. Delgado Jr., B. de la Cruz, and D. Valles, “Utilizing AI to Support Conversations in Individuals with ASD,” 2025 IEEE 16th Annual Ubiquitous Computing, Electronics, and Mobile Communications Conference (UEMCON-2025), IBM Learning Center, Armonk, New York, 2025. [Accepted]
  • M. E. Olsen, J. A. Pineda, P. Y. Sherpa, J. W. Farrell III, and D. Valles, “The Use of Machine Learning to Model Player Readiness in Female Collegiate Volleyball Players,” 2025 IEEE 16th Annual Ubiquitous Computing, Electronics, and Mobile Communications Conference (UEMCON-2025), IBM Learning Center, Armonk, New York, 2025. [Accepted]
  • D. W. Bowler, A. M. Deinhardt, M. M. Carvalho, T. Liu, and D. Valles, “Simulation-Based Smart Home Architecture for Autism Support Using CSI-Based Movement Detection,” 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. [Accepted]
  • A. M. Deinhardt, D. W. Bowler, M. M. Carvalho, T. Liu, and D. Valles, “IoT for Autism: Analyzing Motor Behaviors in Virtual Environments Using Visual Data,” 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. [Accepted]
  • J. B. Li, J. W. Farrell III, and D. Valles, “Data Augmentation for Classifying Multiple Sclerosis Severity through Inertial Measurement Unit-Based Gait Analysis,” 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 2024, pp. 6443-6450, doi: 10.1109/BIBM62325.2024.10822219.
  • A. Yang, E. R. Smith, D. Valles, and S. Aslan, “HoloLens AR-Based Handwashing Tool for Children with Autism Spectrum Disorder,” 2024 IEEE Future Networks World Forum (FNWF), Dubai, United Arab Emirates, 2024, pp. 952-958, doi: 10.1109/FNWF63303.2024.11028805.
  • A. A. Malik, A. M. Zaki, N. C. Tran, I. Liang, T. Liu, and D. Valles, “Virtual Reality on Assessing the Motor Skills of Individuals With Autism Spectrum Disorder,” 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), Yorktown Heights, NY, USA, 2024, pp. 548-555, doi: 10.1109/UEMCON62879.2024.10754723.
  • H. Nonaka and D. Valles, “Fully Auto-Regressive Multi-modal Large Language Model for Contextual Emotion Recognition,” 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), Yorktown Heights, NY, USA, 2024, pp. 0291-0299, doi: 10.1109/UEMCON62879.2024.10754673.
  • M. Nachega, S. A. Yahaya, I. Wallace, T. Liu, D. Valles, R. Koldenhoven, and Y. Li, “Enhancing Early Diagnosis of Autism With Machine Learning Algorithms Using Postural Control Features,” 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), Yorktown Heights, NY, USA, 2024, pp. 593-598, doi: 10.1109/UEMCON62879.2024.10754700.
  • S. A. Rafiq, E. S. Ellsworth, et al., “Design of Autonomous Rover for Firefighter Rescue: Integrating Deep Learning With ROS2,” 2024 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 2024, pp. 421-428, doi: 10.1109/AIIoT61789.2024.10578950.
  • Tran, N. C., & Liang, I. X., & Liu, T. A. U. A., & Valles, D. (2024), Board 300: Impact of Virtual Reality on Motor-Skill Performance in Children with Autism Spectrum Disorder. 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/46878
  • E. Smith, R. Koldenhoven, et al., “Development of an Augmented Reality Handwashing Tool for Children With Autism Spectrum Disorder,” 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC’24), Las Vegas, NV, USA, 2024, pp. 0249-0256, doi: 10.1109/CCWC60891.2024.10427963.
  • D. Valles, L. Adrianne, T. Paveglio, J. Brinson, M. Hyder, G. Jackson, D. Hall, J. Farrell III, S. Aslan, M. Resendiz, Y. Li, and T. Liu, “Data Collection and Real-Time Facial Emotion Recognition in iOS Apps With CNN-Based Models,” 2023 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 2023, pp. 0669-0677, doi: 10.1109/AIIoT58121.2023.10174520.

Peer-Review Posters

  • Hernandez, A. L., and Resendiz, M. Understanding Emotion Perception in Neurotypical and Neurodivergent Individuals, 2024 American Speech Language Hearing Association (ASHA) Convention, Seattle, WA, USA, 2024.
  • T. Liu, I. Wallace, H. Cressman, D. Valles, et al., “Enhancing Early Diagnosis of Autism Spectrum Disorder with Machine Learning Algorithms Using Postural Control Features” 2024 International Society of Research and Advocacy for Development Coordination Disorder and the International Motor Development Research Consortium (DCD15-IMDRC6), Ghent, Belgium, 2024.
  • Hernandez, A. L., Resendiz, M. D., Valles, D., et. al (2023, Oct). Is there gender bias in emotion identification? 2023 SACNAS National Diversity in STEM (NDiSTEM) Conference, Portland, OR, USA, 2023.
  • Liu, T., Mohammed, H., & Valles, D. (2023, May). Virtual reality effectiveness on motor assessment in children with autism. In JOURNAL OF SPORT & EXERCISE PSYCHOLOGY (Vol. 45, pp. S19-S19). 1607 N MARKET ST, PO BOX 5076, CHAMPAIGN, IL 61820-2200 USA: HUMAN KINETICS PUBL INC.

Poster Presentation Events

  • Maya Nachega, Sugru Yahaya, Dr. Yumeng Li, and Dr. Rachel M. Koldenhoven, “Enhancing Early Autism Diagnosis with Machine Learning Algorithms using Postural Control Features,” Vanderbilt Undergraduate Research Fair (VURF), Vanderbilt University, Nashville, Tennessee, 2024.
  • S. Rafiq, E. Ellsworth, and D. Valles, “Smart City Firefighting Autonomous Data Collection,” Texas State Data Analytics Showcase, Texas State University, San Marcos, TX, 2023.
  • S. Rafiq, E. Ellsworth, and D. Valles, “Smart City Firefighting Autonomous Data Collection,” Data Science Symposium (SyData 2022), Texas State University, San Marcos, TX, 2022.

Case Studies

 

Sponsored by the National Science Foundation 2022-2028