Mr. Solis is a computer scientist in the Kinesioception section at Southwest Research Institute (SwRI), with expertise in deep learning, computer graphics, simulation, and motion capture technologies. His work focuses on expanding SwRI’s markerless motion capture system for various applications, including animation, while developing methods for improving data accuracy using prediction heatmaps. He also advocates for advancing SwRI’s presence in the media and entertainment industry.

Mr. Solis has contributed to automated vehicle simulation projects, including creating virtual environments, integrating simulated sensors, and optimizing performance using tools like Unreal Engine and Applied Intuition’s Simian. He has also improved user experience and troubleshooting processes for SwRI’s telemetry systems and supported other programs with network analysis and simulation tools.

Previously, Mr. Solis researched video reconstruction using generative adversarial networks (GANs) at Georgia State University and worked on algorithm testing at The University of Texas at San Antonio.