Designing, Manufacturing, and Digitizing the World and Beyond.
Digital Manufacturing and Design (DMD) is a research group in the School of Manufacturing Systems and Networks of the Ira A. Fulton Schools of Engineering at Arizona State University, led by Dr. Hyunwoong Ko. The research of DMD is focused on data science, manufacturing science, and design science, as well as the intersections between these three areas. The group aims to build foundations of artificial intelligence (AI) and digital transformation for manufacturing and design. Such foundations help facilitate the integration between the disciplines of AI and Machine Learning, Cyber-physical Systems, and Digital Twins at multiple spatial-temporal scales in the context of advanced manufacturing, such as innovative additive manufacturing. Ultimately, the group’s research improves critical control and decision-making in manufacturing and design, like Design for Additive Manufacturing, In-situ Monitoring and Control, and Ex-situ Evaluation, using AI on emerging data and newfound knowledge from both virtual and physical systems. Especially our research emphasizes the following (in alphabetical order):
- Additive Manufacturing
- AI, Data Analytics, & Machine Learning for Manufacturing & Design
- Causal Analytics at Multiple Scales
- Cyber-physical Systems
- Data Fusion, Integration, & Management for Manufacturing & Design
- Digitization of Physical Real Entities and Properties
- Hybrid Physics-informed Data-driven Modeling
- Integration of AI and Machine Learning, Industrial-Internet-of-Things Sensing, and Simulation
- Semiconductor Manufacturing
AI, Machine Learning, and Digital Twin for Cyber-physical Manufacturing Systems