Machine Learning Techniques for Motion Analysis of Fatigue from Manual Material Handling Operations Using 3D Motion Capture Data. - Geovanni Hernandez; Damian Valles; David C. Wierschem; Rachel M. Koldenhoven; George Koutitas; Francis A. Méndez Mediavilla; Semih Aslan; Jesús A. Jiménez (CCWC, 2020)

Comparison of Inverse Kinematics Algorithms for Digital Twin Industry 4.0 Applications. - T. Caroll; Geovanni Hernandez; George Koutitas; David C. Wierschem; Francis A. Méndez Mediavilla; D. Vallez; Semih Aslan; Rachel M. Koldenhoven; Jesús A. Jiménez (SMC, 2020)

A Digital Twin Framework for Real-Time Analysis and Feedback of Repetitive Work in the Manual Material Handling Industry. - Abhimanyu Sharotry; Jesús A. Jiménez; David C. Wierschem; Francis A. Méndez Mediavilla; Rachel M. Koldenhoven; Damian Valles; George Koutitas; Semih Aslan (WSC, 2020)

Manufacturing Operator Ergonomics: A Conceptual Digital Twin Approach to Detect Biomechanical Fatigue. - Abhimanyu Sharotry; Jesús A. Jiménez; Francis A. Méndez Mediavilla; David C. Wierschem; Rachel M. Koldenhoven; Damian Valles (IEEE Access, 2022)

Design of Autonomous Rover for Firefighter Rescue: Integrating Deep Learning with ROS2. - Saad A. Rafiq; Erich S. Ellsworth; Oscar Resendiz; Susmitha H. Varanasi; Adenrele A. Ishola; Rachel M. Koldenhoven; John W. Farrell; Yumeng Li; Maria D. Resendiz; Semih Aslan; Ting Liu; Damian Valles (AIIoT, 2024)

Development of an Augmented Reality Handwashing Tool for Children with Autism Spectrum Disorder. - Evan R. Smith; Rachel M. Koldenhoven; John W. Farrell; Semih Aslan; Maria D. Resendiz; Yumeng Li; Ting Liu; Damian Valles (CCWC, 2024)

Enhancing Early Diagnosis of Autism With Machine Learning Algorithms Using Postural Control Features. - Maya Nachega; Sugru A. Yahaya; Ila Wallace; Ting Liu; Damian Valles; Rachel M. Koldenhoven; Yumen Li (UEMCON, 2024)