I am Prize Thomas Mathew, a Master of Design student at the University of Cincinnati specializing in automotive and mobility experiences. My background spans transportation design and professional UX.
My work is informed by formal training in vehicle design and practical experience developing enterprise-scale digital products — research, interaction design, and systems thinking. I investigate how in-vehicle systems, ADAS, and emerging mobility technologies can be designed to feel intuitive, calming, and human-centered.
Off the clock — I lift heavy, and quietly obsess over the next bottle for my fragrance collection.
Before transitioning into automotive UX and interaction design, I studied and trained in vehicle and transportation design — a foundation that continues to inform my approach to form, function, and human-centered mobility.





Create interactive automotive HMI prototypes and simulate realistic in-vehicle interactions and behaviors.
Tools: ProtoPie, Figma, Unreal Engine, Rive, Blender.
Design clear, high-fidelity HMI interfaces, interaction flows, and visual systems for in-car experiences.
Tool: Figma, XD, Kanzi
Plan and run mixed-methods research — including eye-tracking, in-context studies, and hands-on prototyping sessions — to validate interaction concepts and translate behavior into refined UX decisions.
Tools: Tobii Eye Tracker, ProtoPie, Figma, Miro, Meta Quest.
Build immersive prototypes to explore in-vehicle experiences, spatial UI, and future mobility concepts.
Tools: Unreal Engine, Blender.
Model automotive forms and surfaces, bridging transportation design and digital user experience.
Tools: Autodesk Alias (SubD), Blender.
Create visual narratives, diagrams, and presentations that communicate design ideas clearly.
Tools: Adobe creative suit, express, Krea.