Faculty, Students and Partners
A collaborative community for interdisciplinary digital twin teaching and research.
The lab supports collaborative work that combines software, data, simulation, robotics, and physical-system evaluation.
Faculty
Faculty can use the lab to develop course modules, supervise student projects, build research collaborations, and create demonstrations. Interdisciplinary teams can combine expertise in data science, computing, engineering, robotics, sustainability, design, planning and domain-specific applications.
Applied Data Science Faculty
Students
Students can participate through courses, capstone projects, research assistantships, independent studies, workshops and demonstrations. Projects may involve 3D environments, data integration, simulation, robotics, synthetic data, decision-support tools or campus living-lab applications.
Campus Partners
Campus units can contribute real operational questions, domain knowledge, datasets, facilities information and evaluation requirements. These collaborations can help turn the SJSU campus into a living laboratory while ensuring that projects address practical needs.
External and Industry Partners
Approved external partners can support sponsored projects, guest lectures, technical workshops, mentoring, software and hardware demonstrations and applied research. Partnerships should advance SJSU’s educational and research mission and follow university requirements for agreements, data, intellectual property, safety and publicity.
Ways to Collaborate
- Propose a teaching module or course activity.
- Submit a research or capstone project idea.
- Contribute a campus problem for a living-lab project.
- Offer a technical demonstration, workshop, dataset or case study.
- Join an interdisciplinary team or student mentoring activity.
- Support equipment, software or sponsored research through an approved university process.
