Applying artificial intelligence (AI), especially natural language processing (NLP), to harness
large amounts of information from patent databases, online communities, social media, or …

There are increasing applications of natural language processing techniques for information
retrieval, indexing, topic modelling and text classification in engineering contexts. A standard …

Deep generative models are proven to be a useful tool for automatic design synthesis and
design space exploration. When applied in engineering design, existing generative models …

Data-driven design of mechanical metamaterials is an increasingly popular method to
combat costly physical simulations and immense, often intractable, geometrical design …

Abstract Design researchers have struggled to produce quantitative predictions for exactly
why and when diversity might help or hinder design search efforts. This paper addresses …

Engineering design often involves qualitative and quantitative design variables, which
requires systematic methods for the exploration of these mixed-variable design spaces …

Assessing similarity between design ideas is an inherent part of many design evaluations to
measure novelty. In such evaluation tasks, humans excel at making mental connections …

Bipartite b-matching, where agents on one side of a market are matched to one or more
agents or items on the other, is a classical model that is used in myriad application areas …

Current approaches for identifying valuable content among the multitude of solutions in
crowdsourcing contests are resource‐intensive and constrained by human processing …

Evaluating design ideas is necessary to predict their success and assess their impact early
on in the process. Existing methods rely either on metrics computed by systems that are …