- Ehsan Naderi, Ph.D.
Product Design · Human Factors
when getting it wrong
has a cost
I find the hard problem in regulated medical devices, enterprise AI, and spatial research, then design for the case where a mistake is a consequential 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
The problem first. Full case studies on request.
- Medical device products · Heathcare technology
Designing for scale and data density. Millions of users, thousands of enterprise applications.
- Spatial experiences · XR research
A surgical ecosystem where every inconsistency is a use-error
Designing hardware and software together, under real constraints, in regulated surgical environments.
- AI strategy · Google Cloud
Enterprise AI that gets past the pilot
Designing in ambiguity, before the patterns exist.
- Human factors 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: ten peer-reviewed 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 · 2020 · 59 citations
Adopting immersive technologies for design practice: The internal and external barriers
Proceedings of the Design Society (ICED) · 2019 · 22 citations
Strategies for empowering collective design
The Design Journal · 2019 · 16 citations
Ehsan Naderi
Product Design · Human Factors
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.
Contact
Open to good problems and good people. Let’s talk.