Product Design
Product design research currently emphasizes creating systems that are safer, more efficient, and better integrated with human users. Key focus areas include developing compliant robotic systems for delicate tasks (e.g., medical imaging, tool wielding), leveraging machine learning for design optimization and control (e.g., reinforcement learning, Gaussian processes), and exploring the use of large language models to assist in the design process. These advancements are improving the performance and reliability of products across diverse fields, from medical devices and manufacturing to autonomous vehicles and infrastructure.
Papers
Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data
Hengrui Zhang, Alexandru B. Georgescu, Suraj Yerramilli, Christopher Karpovich, Daniel W. Apley, Elsa A. Olivetti, James M. Rondinelli, Wei Chen
Evaluating the Design Features of an Intelligent Tutoring System for Advanced Mathematics Learning
Ying Fang, Bo He, Zhi Liu, Sannyuya Liu, Zhonghua Yan, Jianwen Sun
Composers' Evaluations of an AI Music Tool: Insights for Human-Centred Design
Eleanor Row, György Fazekas
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li