Faculty Profile for Dr. Damian Valles Molina

profile photo for Dr. Damian Valles Molina
Dr. Damian Valles Molina
Assistant Professor — Ingram School of Engineering
IGRM 2203
phone: (512) 245-5611

Biography Section

Biography and Education

Dr. Damian Valles is an Assistant Professor for the Ingram School of Engineering 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 PhD. 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.

Selected Scholarly/Creative Work

  • Sharotry, A., Jimenez, J. A., Mendez, F. A., Wierschem, D. C., Rolfe, R. M., & Valles Molina, D. (2020). Manufacturing operator ergonomics: A conceptual digital twin approach to detect biomechanical fatigue. IEEE Access.
  • Ishola, A. A., & Valles, D. (2022). Using Machine Learning and Regression Analysis to Classify and Predict Danger Levels in Burning Sites (pp. 453–459). IEEE. https://doi.org/10.1109/AIIoT54504.2022.9817232
  • Tushar, S. N. B., Sarker, S., Stapleton, W. A., & Valles Molina, D. (n.d.). Peanut maturity classification by features extracted from selected hyperspectral components. IEEE.
  • Rahman, M., Haque, A., Pujara, D. S., Mayorga, J., Kang, H. G., & Valles Molina, D. (n.d.). Automation of Luminescence Quantitation for High-Throughput Plant Phenotyping Using Image Processing and U-Net Segmentation. Springer.
  • Sefat, Md. S., & Shahjahan, Md. (2022). [Review of Ensemble Training With Classifiers Selection Mechanism, by M. Rahman & D. Valles Molina] (pp. 0131–0136). IEEE. https://doi.org/10.1109/UEMCON53757.2021.9666676

Selected Awards

  • Award / Honor Recipient: Best Presenter Award, IEEE-AIIoT 2021. May 13, 2021
  • Award / Honor Recipient: Best Presenter Award, IEEE-CCWC 2020. January 8, 2020
  • Award / Honor Recipient: Best Presenter Award, IEEE-CCWC 2020. January 8, 2020
  • Award / Honor Recipient: Best Paper Award, IEEE IEMCON 2018. 2018
  • Award / Honor Recipient: Best Paper Award for the 8th IEEE Annual Computing and Communication Workshop and Conference, IEEE. 2018

Selected Grants

  • Fulton, Lawrence V (Principal), Villagran, Melinda Morris (Co-Principal), , Bing Zhou (Co-Principal), Mendez, Francis A (Co-Principal), Ekin, Tahir (Co-Principal), Qasem, Apan Muhammad (Co-Principal), Konur, Dincer (Supporting), Alanis, Emmanuel (Supporting), Zihagh, Fereshteh (Supporting), Dong, Zhijie (Co-Principal), Shen, Xiaoxi (Supporting), De Nadai, Alessandro Stevens (Supporting), Zhu, Ye (Co-Principal), Hewitt, Barbara A (Co-Principal), Valles Molina, Damian (Supporting), White, Alexander (Supporting), Dolezel, Diane M (Supporting), Ioudina, Vera (Supporting), Islam, Tanzima Z (Supporting), Lee, Chul Ho (Supporting), Metsis, Vangelis (Supporting), Moradi, Masoud (Supporting), Gao, Ju (Supporting), Li-Jen, Lester (Supporting), Jones, Dustin (Supporting), Pham, Vung (Supporting), Holt, Melinda (Supporting), Kyung An, Min (Supporting), Islam, ABM (Supporting), Cho, Hyuk (Supporting), Liu, Quigzhoung (Supporting), Liang, Fan (Supporting), Topinka, Joseph Baar (Supporting). The Accelerating Credentials of Purpose and Value for the Texas Innovation Corridor (TIC) Consortium Grant, THECB, State, $1450000. (Submitted: November 2021, Funded: February 2022 - October 2022). Grant.
  • Jimenez, Jesus (Principal), Aslan, Semih (Co-Principal), Koutitas, Georgios (Co-Principal), Mendez, Francis A (Co-Principal), Valles Molina, Damian (Co-Principal), Wierschem, David C (Co-Principal). Using Industry 4.0 Digital Twins to Model Human Labor in Smart Material Handling Systems, Toyota Material Handling, Private / Foundation / Corporate, $197411.11. (Submitted: December 14, 2018, Funded: August 14, 2019 - August 13, 2020). Grant.
  • Resendiz, Maria D, Umali, Lois A (Co-Principal), Vargas, Micaela (Co-Principal), Valles Molina, Damian (Co-Principal). NSF I-Corps, NSF, Federal, $50000. (Submitted: June 2022, Funded: September 1, 2022 - January 31, 2023). Grant.
  • Valles Molina, Damian, Liu, Ting (Co-Principal), Resendiz, Maria D, Aslan, Semih, Farrell, John Wayland, Li, Yumeng. 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.
  • Resendiz, Maria D, Valles Molina, Damian. Emotion Validation Database, Texas State University Research Enhancement Program, Texas State University, $10894. (Submitted: October 2021, Funded: January 22, 2022 - May 31, 2022). Grant.

Selected Service Activities

Technical Committee Member
November 2023-Present
Research Selection Committee
November 2022-Present
Technical Committee Member
IEEE 2023 World AI IoT Congress (AIIoT)
November 2022-Present
Search Committee
October 2022-Present
Search Committee
October 2022-Present