Twin Intelligence Lab

Motivation

“A digital twin is a set of virtual information constructs that mimics the structure, context, and behavior of a natural, engineered, or social system (or system-of-systems), is dynamically updated with data from its physical twin, has a predictive capability, and informs decisions that realize value. The bidirectional interaction between the virtual and the physical is central to the digital twin.”
— American Institute of Aeronautics and Astronautics (AIAA Digital Engineering Integration Committee 2020)

Twin Intelligence Lab Overview

• Our goal is to connect real systems, real data, and real-world impact.
• We work on problems where engineering and physical systems generate noisy, incomplete, and multimodal data, such as sensor signals, images, and complex geometric data.

Research Focus

• Multimodal data from sensors, images, and operational systems
• Machine learning and statistical modeling for noisy and imperfect real-world data
• Design of experiments, prediction, anomaly detection, and root-cause analysis
• Decision support for smart manufacturing and healthcare systems

Application Areas

• Smart manufacturing: 3D printing qualification, quality control, and process monitoring
• Smart healthcare: biosensing, monitoring, and treatment-planning support
• Embodied AI and robotics

Opportunities for Students

We welcome motivated students who enjoy:

• Hands-on experiments
• Data-driven problem solving
• Rigorous thinking
• Building solutions that work beyond the lab

Students may gain:

• Publishable research experience and practical technical skills
• Mentorship through collaborative projects
• Experience working with real datasets and advanced 3D printing/scanning equipment
• Opportunities to deploy methods on real-world engineering problems

If you are interested in joining the Twin Intelligence Lab, please complete the application form.