Design and Advanced Manufacturing

The area of Design and Advanced Manufacturing capitalizes on the convergence of data infrastructure and advances in process monitoring, computational modeling, data analytics, AI/machine learning, digital twins, 5G wireless communication, cyber-physical-human systems, and advanced controls, which advance fundamental understanding, inform and enhance the design, manufacturing, and materials processing at the process, machine (including robots), and system levels. By harnessing the data thread throughout the product lifecycle, this area aims to drive manufacturing quality, productivity, flexibility, sustainability, security, and competitiveness across diverse industries.

Associated Faculty: Gerardo Callegari, Alberto Cuitiño, German Drazer, Hae Chang Gea, Xi Gu, Yuebin Guo, Yogesh Jaluria, Rajiv Malhotra, Aaron Mazzeo, Jerry Shan, Jonathan P. Singer, Stephen D. Tse, Jingang Yi, Qingze Zou

Research Clusters

Additive Manufacturing Processes, Monitoring, Modeling, and Control

Faculty: Hae Chang Gea, Yuebin Guo, Rajiv Malhotra, Aaron Mazzeo, Jonathan P. Singer

AI-Enabled Robotic Manufacturing

Faculty: Yuebin Guo, Aaron Mazzeo, Jingang Yi, Qingze Zou

Material Processing, Machining, and Hybrid Manufacturing

Faculty: Xi Gu, Yuebin Guo, Yogesh Jaluria, Rajiv Malhotra

Organic Powder-based Pharmaceutical Manufacturing

Faculty: Gerardo Callegari, Alberto Cuitiño, German Drazer

Scalable Micro/Nanomanufacturing

Faculty: Jerry Shan, Stephen D. Tse, Qingze Zou