Biography and expertise
Dr. Damian Valles is an Ingram School of Engineering Electrical Engineering Associate Professor at Texas State University. He focuses on High-Performance Computing (HPC), Machine Learning (ML), and Embedded System implementations under the High-Performance Engineering (HiPE) research group. Dr. Valles received his B.S., M.S., and Ph.D. from The University of Texas at El Paso from the Electrical and Computer Engineering Department, focusing on Reconfigurable Processors and HPC research. Dr. Valles did a post-doc at Montana Tech as the HPC Application Scientist under the Computer Science department. He also worked as an HPC System Administrator in the Information Systems department and an adjunct position in the Computer Science department at Wake Forest University. He is currently a member of IEEE, ACM, ACM's SIGHPC, and SHPE.
Education
Doctorate Degree
PhD in Electrical and Computer Engineering
University of Texas at El Paso, 2011
Master's Degree
MS in Computer Engineering
University of Texas at El Paso, 2004
Bachelor's Degree
BSEE in Electrical Engineering
University of Texas at El Paso, 2002
Intellectual Property
Patents
- “Diverse Emotion Portrayal Database.” Maria Resendiz, Damian Valles Molina. Regular, #20250118108.
Date applied: 10/10/2023

Featured grants
- Piner, Edwin L (Principal), Haque, Ariful (Co-Principal), Valles Molina, Damian (Co-Principal), Miyahara, Yoichi (Co-Principal), Droopad, Ravindranath (Supporting), Holtz, Mark W (Supporting), Scolfaro, Luisa M (Supporting), Miller, David R von (Supporting), Ahmed, Mohammad Iqbal (Supporting). Center for Ultrawide Bandgap Semiconductor Device Materials, National Science Foundation, Federal, $7500000. (Submitted: December 6, 2024, Funded: September 1, 2025 - August 31, 2030). Grant.
- Valles Molina, Damian (Principal), Aslan, Semih (Supporting), Menezes De Carvalho, Marcelo (Supporting), Resendiz, Maria D (Supporting), Koldenhoven, Rachel Mary (Supporting), Farrell, John Wayland (Supporting), de la Cruz, Berenice (Supporting), Liu, Ting (Supporting). REU Site: Undergraduate Research Experience in Artificial Intelligence, Data Analytics, and Mixed Reality for Smart and Connected Health, National Science Fundation, Federal, $371758. (Submitted: August 2024, Funded: April 1, 2025 - March 31, 2028). Grant.
- Ekin, Tahir (Principal), Tesic, Jelena (Co-Principal), Qasem, Apan Muhammad (Co-Principal), Valles Molina, Damian (Co-Principal), Summers, Lucia (Co-Principal), Hewitt, Barbara A (Supporting), Liu, Xiangping (Supporting), Chang, Carolyn T (Supporting), Mendez, Francis A (Supporting), Irvin, Jennifer A (Supporting), Resendiz, Maria D (Supporting). Expanding AI Curriculum and Infrastructure at Texas State University to Advance Interdisciplinary Research and Grow a Diverse AI Workforce, National Science Foundation, Federal, $400000. (Submitted: June 2023, Funded: January 2024 - December 2026). Grant.
- Muci-Kuchler, Karim Heinz (Principal), Talley, Kimberly Grau (Co-Principal), Valles, Damian (Co-Principal), Londa, Michelle (Co-Principal), Tate, Jitendra (Co-Principal), Kulesza, Stacey Elizabeth (Supporting), Gutierrez, Carlos Felipe (Supporting), Hailey, Christine Elizabeth (Supporting). S-STEM: Scholars of Excellence in Engineering Design (SEED), National Science Foundation (NSF), Federal, $2499310. (Submitted: March 2, 2023, Funded: January 1, 2024 - December 31, 2029). Grant.
- Carvallo, Andres Eloy (Principal), Davio, Rebecca Lynn (Co-Principal), Oskam, Judith B (Co-Principal), Valles Molina, Damian (Supporting), Higgins Joyce, Vanessa D (Supporting), Blasingame, Dale C (Supporting), Buschhorn, Jennifer L (Supporting), Scharlach, Jennifer M (Supporting), Suarez, Albert (Supporting), Jorgensen, Elissa Claire (Supporting). Advanced Air Mobility (AAM), Texas Department of Transportation, State, $400000. (Submitted: December 8, 2023, Funded: January 1, 2024 - March 31, 2025). Grant.

Featured scholarly/creative works
- Dutta, A. K., Islam, K. S., & Valles Molina, D. (2026). Edge-AI Framework for Air Quality Index (AQI) Forecasting with Quantized Deep Learning Models. In 2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC). IEEE. https://doi.org/10.1109/CCWC67433.2026.11393866
- Sharotry, A., Jimenez, J. A., Mendez, F. A., Wierschem, D. C., Koldenhoven, R. M., & Valles Molina, D. (2022). Manufacturing Operator Ergonomics: A Conceptual Digital Twin Approach to Detect Biomechanical Fatigue. IEEE Access, (10), 12774–12791. https://doi.org/10.1109/ACCESS.2022.3145984
- Seid, T., Marimekala, D., Valles Molina, D., & Koldenhoven, R. M. (n.d.). Differentiating chronic ankle instability from copers using machine learning analysis of walking gait kinematics. IEEE.
- Adhikari, U., Charles, N., Rakin, M. M. H., & Valles Molina, D. (n.d.). Establishing a Measured Sensing and Motion-Classification Baseline for a ROS2-Based Animal Care Mobile Robot. IEEE.
- Panta, P., & Valles Molina, D. (n.d.). Performance Dynamics of Deep Learning Model Training on Centralized HPC Resources. IEEE.
Featured awards
- Award / Honor Recipient: Best Presenter Award, IEEE-AIIoT 2026. May 22, 2026
- Award / Honor Recipient: Best Presenter Award, IEEE-AIIoT 2026. May 22, 2026
- Award / Honor Recipient: Travel Award, UT Health-San Antonio & UTSA ONRS. January 30, 2026
- Award / Honor Recipient: Best Poster Award, UT Health-San Antonio & UTSA ONRS. January 30, 2026
- Award / Honor Recipient: Best Presenter Award, IEEE-UEMCON 2025. October 24, 2024

Featured service activities
- Editor
MDPI-Sensors, Special Issue: Novel Technologies and Applications for Internet of Things
- University Mentor
Ingram School of Engineering
- Reviewer / Referee
MPDI Journal - Entropy
- Reviewer / Referee
American Society for Engineering Education
- Reviewer / Referee
Springer's Journal of Supercomputing
- Reviewer / Referee
MPDI Journal - Applied Science
