About
Overview
Senior Computer Engineer and Ph.D. student in Electrical & Computer Engineering at the University of New Mexico.
I build tools for testing and benchmarking microelectronics, develop real-time data acquisition systems, and create synthetic datasets for AI/ML training. I also mentor early-career researchers through to publication.
Current Work
- RADCaST: Real-time data acquisition framework for test campaigns
- SPARCL: Cross-architecture benchmarking suite for processor evaluation
- Performance characterization of NVIDIA and AMD processors
- Synthetic satellite imagery datasets for space domain awareness
Skills
Languages: C/C++, Python, Bash, CUDA, HTML/CSS, JavaScript
Tools: Neovim, Git, Docker, Docker Compose, GNU Make, GDB, LaTeX, MongoDB, MQTT, VMware, Vivado, Vitis, Yocto
Frameworks: Dash, Plotly, Pandas, Matplotlib
Education
| Degree | Institution | GPA |
|---|---|---|
| Ph.D. Electrical & Computer Engineering | University of New Mexico | 4.21/4.33 |
| M.S. Electrical & Computer Engineering | University of New Mexico | 4.19/4.33 |
| B.S. Electrical & Computer Engineering | University of Texas at El Paso | 3.06/4.0 |
Publications
R. Briggs, D. Landauer, and T. M. Lovelly, “Cross-Examining the Computational Performance of Radiation-Tolerant NVIDIA and AMD SoCs,” in 2025 IEEE Aerospace Conference, Big Sky, MT, Mar. 2025.
V. M. Vergara, J. Wojcik, D. Landauer, and F. O. Viramontes, “Space Domain Awareness of Debris Evaluated Through Synthetic Data,” in 2025 IEEE Aerospace Conference, Big Sky, MT, Mar. 2025.
K. Dunlap, N. Hamilton, F. Viramontes, D. Landauer, E. Kain, and K. L. Hobbs, “Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies,” in AIAA SciTech Forum, Jan. 2025.
M. A. Felix, W. S. Slater, D. C. Landauer, R. E. Pinson, and B. B. W. Rutherford, “Total Ionizing Dose Radiation Testing of NVIDIA Jetson Orin NX System on Module,” in 2024 IEEE Space Computing Conference (SCC), Mountain View, CA, Jul. 2024, pp. 116–121.
D. C. Landauer and T. M. Lovelly, “Performance Evaluation of the Radiation-Tolerant NVIDIA Tegra K1 System-on-Chip,” in 2023 IEEE Space Computing Conference (SCC), Pasadena, CA, Jul. 2023, pp. 24–33.