Team Leader
Dr. Michael Rugh
Texas A&M University
Visualization
michael.rugh@tamu.edu
Project Type
Research
Who Can Join
Faculty, Staff/Postdoctoral Scholars, Graduate Students, Masters Students, Undergraduate Students
Project Description
This project explores the design and development of high-fidelity digital simulations and digital twins to support education, training, and decision-making in complex domains. Using Unreal Engine and other industry-standard simulation/visualization platforms, our team will model systems that combine computer science, mathematics, and physics to create immersive, accurate, and interactive digital environments. These simulations will be applied in research on engineering, healthcare, defense, and education, with opportunities to advance the scientific understanding of how simulations can support real-world problem solving.
Team Needs
We are seeking team members with strong backgrounds in computer science or related fields who are motivated to push the boundaries of simulation and visualization. Useful skills and experiences include: Proficiency in programming (C++, Python, or similar languages); Knowledge of mathematics and physics as applied to modeling and simulation; Familiarity with Unreal Engine, Unity, or similar platforms; Interest in digital twins, computational modeling, or large-scale simulation systems; Team members should be open to interdisciplinary collaboration, problem-solving, and iterative development. Prior experience with graphics programming, visualization, or industrial simulation tools is a plus, but motivated learners with a strong CS foundation are welcome.
Special Opportunities
Team members will gain hands-on experience with advanced simulation and visualization technologies that are directly relevant to careers in game development, aerospace, defense, healthcare, and educational technology. In addition to building a portfolio of applied work using Unreal Engine and digital twin frameworks, participants will have opportunities to contribute to research that may result in conference presentations and publications. The project offers close collaboration with faculty and interdisciplinary teams at Texas A&M, as well as access to real-world projects and industry partnerships. Students will leave the project with a valuable combination of technical skills, research experience, and professional connections in fields where simulation and visualization are in high demand.