From Data to Design: Challenges and Opportunities

The Basics

This full‑day workshop convenes researchers and practitioners to explore the next wave of data‑driven engineering design. Speakers will highlight emerging datasets, benchmarks, representations, machine‑learning methods, and human‑AI workflows that shape tomorrow’s products. A curated panel will broaden the conversation with perspectives from industry, academia, and national laboratories, while a hands‑on benchmarking session and an interactive brainstorming activity invite attendees to co‑create visions for the future of “AI for Design”.

Participants

We welcome faculty, graduate and undergraduate students, and engineers from industry who are passionate about design, data, and AI. No prior ML background is required—curiosity and enthusiasm are the only prerequisites.

Workshop Agenda

The day is split into two parts:

Organizers

Panelists

Invited Speakers