- Ehsan Naderi, Ph.D.
Product Design · Human Factors
I design things people use when getting it wrong matters
things
I find the hard problem in regulated medical devices, AI platforms, and spatial experience, then design for the case where a mistake is an event, not a missed click.
Previously:
- Google Cloud AI
- University of Minnesota Prof.
- Arthrex
- GE Healthcare + UPMC
- Google Cloud AI
- University of Minnesota Prof.
- Arthrex
- GE Healthcare + UPMC
Selected Work
Access available upon request
- Google Cloud · Enterprise platform
Adding AI to a platform people already depend on
Designing for scale and data density. Millions of users, thousands of enterprise applications.
- Medical Products · Hardware & software
A surgical ecosystem where every inconsistency is a use-error
Designing hardware and software together, under real constraints, in regulated surgical environments.
- AI product strategy · Google Cloud AI
Enterprise agentic AI that gets past the pilot with design partners
Designing in ambiguity, before the patterns exist.
- Spatial UX · Peer-reviewed research
Keeping information in context when work moves into 3D
Measuring how people actually perceive and behave, then designing from the evidence.
Peer-reviewed research
The research habit behind the work: Studies on design, perception, and user experience.
Product design matters, but is it enough? Consumers’ responses to product design and environment congruence
Journal of Product & Brand Management · 60+ citations
Adopting immersive technologies for design practice: The internal and external barriers
Proceedings of the Design Society (ICED) · 20+ citations
Strategies for empowering collective design
The Design Journal · 10+ citations
About
I look for the problem first. The place where getting it wrong has a real cost, and I design for that case, not the happy path.
I started in industrial product design, where a bad decision ships in metal and plastic and can’t be patched later. That’s still how I think about software, including the years I spent designing for Google Cloud AI.
Before Google, I spent four years as a tenure-track Assistant Professor of Product Design at the University of Minnesota. The research habits stuck: I hold a Ph.D. from the University of Missouri-Columbia, my work on perception and presence is peer-reviewed, and I’m comfortable inside the rigor that regulated medical-device design demands.
Where the work began.
Before the regulated systems and enterprise platforms, there was the bench: several years of industrial design, prototyping, and research craft. It’s the foundation the rest is built on.