Publications

Peer-Review Papers

  • J. Li, J. Farrell III, and D. Valles, “Data Augmentation for Classifying Multiple Sclerosis Severity through Inertial Measurement Unit-Based Gait Analysis,” Seventh Workshop in Artificial Intelligence Techniques for BioMedicine and HealthCare (AIBH) at the 2024 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2024), Lisbon, Portugal, [Accepted].
  • A. Yang, E. R. Smith, D. Valles, S. Aslan, “Development of an Augmented Reality Handwashing Tool for Children with Autism Spectrum Disorder,” 2024 IEEE Future Networks World Forum (FNWF), Dubai, UAE, [In Press].
  • 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, June), Board 300: Impact of Virtual Reality on Motor-Skill Performance in Children with Autism Spectrum Disorder Paper presented at 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

  • 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