Faculty Profiles

Colleges and Departments

Dr. Damian Valles Molina

  • Associate Professor - Ingram School of Engineering
Portrait of Dr. Damian Valles Molina

Biography and education

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.
  • 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, 2029). 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 2025). 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.
  • Valles Molina, Damian, Liu, Ting (Co-Principal), Resendiz, Maria D (Supporting), Aslan, Semih (Supporting), Farrell, John Wayland (Supporting), Li, Yumeng (Supporting), Koldenhoven, Rachel M. (Supporting). REU Site: Undergraduate Research Experiences in Machine Learning, Analytics, and Augmented Reality for Smart and Connected Health, National Science Foundation, Federal, $344029. (Submitted: August 2021, Funded: January 2022 - December 2024). Grant.
View all grants
  • 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
  • Dutta, A. K., Islam, K. S., & Valles Molina, D. (n.d.). Edge-AI Framework for Air Quality Index (AQI) Forecasting with Quantized Deep Learning Models. IEEE.
  • Momin, M. S. M. I., Valles Molina, D., & Cho, E. (2025). Forecasting Sea Water Level Using Deep Learning Models for Enhanced Coastal Flood Management and Mitigation. IEEE. https://doi.org/10.1109/UEMCON67449.2025.11267760
  • Esparragoza, J. M., Delgado, A., de la Cruz, B., & Valles Molina, D. (2025). Utilizing AI to Support Conversations in Individuals With ASD. IEEE. https://doi.org/10.1109/UEMCON67449.2025.11267765
  • Wagner, A., Aslan, E., Marimekala, D., & Valles Molina, D. (2025). Predicting Toxic Gas Levels in Structure Fires Using Machine Learning. IEEE. https://doi.org/10.1109/UEMCON67449.2025.11267707
View all scholarly/creative works
  • Award / Honor Recipient: Best Presenter Award, IEEE-UEMCON 2025. October 24, 2024
  • Award / Honor Recipient: Best Presenter Award, IEEE-UEMCON 2025. October 24, 2024
  • Award / Honor Recipient: Best Presenter Award, IEEE-AIIoT 2024. October 19, 2024
  • Award / Honor Recipient: Best Presenter Award, IEEE-AIIoT 2024. May 31, 2024
  • Award / Honor Recipient: Best Presenter Award, IEEE-AIIoT 2024. May 31, 2024
View all awards
  1. Other

    2026 IEEE UEMCON

  2. Member

    Supercomputing 26 Technical Program BoF Committee Member

  3. Member

    Search Committee

  4. Member

    CoSE 60th Anniversary Committee

  5. Member

    Search Committee

  6. Editor

    MDPI-Sensors, Special Issue: Novel Technologies and Applications for Internet of Things

  7. View all activities