Digital Twin Lab
The TAMIDS Digital Twin Lab (DTL) aims to develop innovative visualization, computing, and networking technologies and efficient theory/data-driven modeling methods to speed up the creation and deployment of digital twins for a wide spectrum of real-world applications.
ARM-MIP Self-Driving Lab
Texas A&M’s Digital Twin Lab is helping build the digital foundation for ARM-MIP, the NSF-funded self-driving metals laboratory. By integrating visualization, data-driven models, and AI-enabled workflows, the lab will connect autonomous experiments to faster, more transparent materials discovery nationwide.
Levels of Research
Exploratory
Early-stage projects with $1k and free consultancy from DTL team members. Open to all Texas A&M students and researchers and involves at least one DTL member.
Pilot
Intermediate-stage projects with $20k from TAMIDS and led by DTL lab members. Team building, preparing for proposals, and developing research capacity in specific domains.
Funded
Projects supported by federal and state grants and other external funding. Multidisciplinary and interdisciplinary collaboration for broader impacts.
DTL News
Digital Twin Lab Advances Digital Twin Research for Safer Drone Highways
September 18, 2026Digital Twin Lab advances AI and digital twins for safer, smarter drone operations in real time.
Recent News
Publications
Connect with the DTL Team
A Google group (mailing list) was created to facilitate the exchange of ideas and resources. It is open to everyone in the Texas A&M system.
Please visit the Lab Member page and contact individual researchers if you are looking for collaborators with certain expertise. All questions about lab-level collaborations should be addressed to the DTL Director, Dr. Jian Tao, at [email protected].
All the DTL jobs and opportunities are listed on the TAMIDS Jobs page. Please follow the instructions on the TAMIDS website for more information.