Leading the Digital Manufacturing and Design (DMD) research group at Arizona State University
Conducting multiple research projects, including:
- NSF Award 2333801 – Supply and Demand Open Knowledge Network (SUDOKN)
- AI-driven Additive Manufacturing Advisor for Manufacturability Prediction
- Digitizing Electronics Additive Manufacturing using Machine Learning and Data Models
- Physical Machine Learning and AI for Digital Additive Manufacturing
- Physics-guided Machine Learning Framework for Process-structure-property Causal Analytics in Additive Manufacturing
Background
Lead of the Digital Manufacturing and Design (DMD) research group at the School of Manufacturing Systems and Networks, Ira A. Fulton Schools of Engineering, Arizona State University
Research focuses on data science, manufacturing science, and design science, and their intersections
Aims to establish foundations of AI and digital transformation for manufacturing and design
Emphasizes multi-scale integration of AI/ML, cyber-physical systems, and digital twins in advanced manufacturing (e.g., additive manufacturing)
Key research areas include Design for Additive Manufacturing, In-situ Monitoring and Control, and Ex-situ Evaluation using AI