Designing, Manufacturing, and Digitizing the World — and Beyond
About
Ko Digital Manufacturing and Design (Ko-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.
Ko-DMD research focuses on data science, manufacturing science, and design science, as well as their intersections. The group aims to lay the foundations for physical artificial intelligence (AI) and digital transformation in manufacturing and design. Such foundations facilitate integration among AI and Machine Learning, Cyber-physical Systems, and Digital Twins at multiple spatial-temporal scales in the context of advanced manufacturing, such as additive manufacturing, semiconductor processes, and robotics-enabled production. Ultimately, the group’s research improves critical control and decision-making in manufacturing and design, such as design for manufacturing, in-situ monitoring, model predictive control, and virtual metrology, leveraging 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
- Generative Modeling
- Hybrid Physics-informed Data-driven Modeling
- Integration of AI and Machine Learning, Industrial-Internet-of-Things Sensing, and Simulation
- Semiconductor Manufacturing
- Robotics-based Manufacturing
AI, Machine Learning, and Digital Twin for Cyber-Physical Manufacturing Systems
Research Partners & Funding Agencies
We collaborate with global industry and research leaders and funding agencies, and we gratefully acknowledge their continued support and partnership.
