Student Name: David Ramirez, PhD
Email: [email protected]
LinkedIn: https://www.linkedin.com/in/dframirezusmc/
Background and Research Interests:
David F. Ramirez (they/them) is a Computer Engineering Ph.D. Student at Arizona State University (ASU), Fulton Schools of Engineering, in Tempe, AZ, and previously earned Electrical Engineering BSE and MSE Degrees from ASU with a focus in digital signal processing. Since 2014, David has supported ASU’s Sensors, Signal, and Information Processing (SenSIP) Center. They recently began working at Prime Solutions Group in Goodyear, Arizona. David has worked at several defense and aerospace companies, including the DigitalGlobe™ satellite imagery company, Maxar Technologies as a Senior Staff Geospatial Data Scientist; as a Senior Data Scientist for General Dynamics Mission Systems; and RTX, formerly Raytheon Missile Systems, as a Signal Processing Engineer. David previously served as an Electronics Engineer in the United States Marine Corps. Their research interests include applied machine learning, computer vision, geospatial understanding, and reality capture.
Publications:
D. F. Ramirez, T. L. Overman, K. Jaskie, M. Kleine, and A. Spanias, “Towards a Large Language-Vision Question Answering Model for MSTAR Automatic Target Recognition,” 35th SPIE Automatic Target Recognition Conference, 2025. Available: https://doi.org/10.1117/12.3053859
S. Vital, G. D. Luca, D. F. Ramirez, G. Uehara, and A. Spanias, “Quantum Generative Neural Networks for Imaging Applications,” 16th IEEE International Conference on Information Intelligence Systems and Applications (IISA), 2025.
J. Larson, D. Pujara, D. F. Ramirez, L. Miller, T. Patel, N. A. Babar, and A. Spanias, “WIP: Building a Research Experience for Undergraduates in Quantum Machine Learning,” 54th IEEE Frontiers in Education Conference (FIE), 2024. Available: https://doi.org/10.1109/FIE61694.2024.10893516
D. F. Ramirez, D. Pujara, C. Tepedelenlioglu, D. Srinivasan, and A. Spanias, “Infrared Computer Vision for Utility-Scale Photovoltaic Array Inspection,” 15th IEEE International Conference on Information, Intelligence, Systems & Applications (IISA), 2024. Available: https://doi.org/10.1109/IISA62523.2024.10786613
D. Pujara, D. F. Ramirez, C. Tepedelenlioglu, D. Srinivasan, and A. Spanias, “Real-time PV Fault Detection using Embedded Machine Learning,” 7th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), 2024. Available: https://doi.org/10.1109/ICPS59941.2024.10640018
D. Pujara, D. F. Ramirez, C. Tepedelenlioglu, D. Srinivasan, and A. Spanias, “Design of a New Photovoltaic Intelligent Monitoring and Control Device,” 14th IEEE International Conference on Information, Intelligence, Systems & Applications (IISA), 2023. Available: https://doi.org/10.1109/IISA59645.2023.10345864
D. F. Ramirez, S. Jayasuriya, and A. Spanias, “Towards Live 3D Reconstruction from Wearable Video: An Evaluation of V-SLAM, NeRF, and Videogrammetry Techniques,” 43rd Interservice/Industry Training Simulation and Education Conference (I/ITSEC), 2022. Available: https://doi.org/10.48550/arXiv.2211.11836
D. F. Ramirez M. Carlotto, and M. Nebrich, “Comparison of Neural Network Classifiers for Automatic Target Recognition,” 28th SPIE Signal Processing Sensor/Information Fusion and Target Recognition, 2019. Available: https://doi.org/10.1117/12.2519310
S. Rao, D. F. Ramirez, H. Braun, J. Lee, C. Tepedelenlioglu, E. Kyriakides, D. Srinivasan, J. Frye, S. Koizumi, Y. Morimoto, and A. Spanias, “An 18 kW Solar Array Research Facility for Fault Detection Experiments,” 18th IEEE Mediterranean Electrotechnical Conference (MELECON), 2016. Available: https://doi.org/10.1109/MELCON.2016.7495369
JJ Robertson, D. F. Ramirez, R. Setiadji, and R. Alneyadi, “A Musical Query-By-Humming Implementation Project,” Arizona State University, 2016. Available: https://sensip.engineering.asu.edu/sensip-project-summaries/
D. F. Ramirez, D. Rajan, P. Curtis, M. Banavar, H. Braun, C. Pattichis, and A. Spanias, “Android Signal Processing for Mobile Health Monitoring,” 38th IEEE Engineering in Medicine and Biology Conference (EMBC), 2016.
S. Peshin, D. F. Ramirez, J. Lee, H. Braun, C. Tepedelenlioglu, A. Spanias, M. Banavar, and D. Srinivasan, “A Photovoltaic (PV) Array Monitoring Simulator,” 34th IASTED International Conference on Modelling Identification and Control, 2015. Available: https://doi.org/10.2316/P.2015.826-029
Acknowledgements:
David’s research is supported in part by the NSF Award 2019068, NSF GOALI award 1308052, the NSF REV GOALI supplement 1450616, Poundra LLC, ViaSOL Inc, ACT Corporation, General Dynamics, Prime Solutions Group Inc, and the SenSIP Center.