Rebecca Westhäußer: Research Portfolio for Personal AI Agents

The challenge

This project is a personal research website for Rebecca Westhäußer, a PhD researcher at Mercedes-Benz in cooperation with Ulm University. It presents her work on personal AI agents, personalization, and long-term human-AI interaction.

The website needed to be academically precise without feeling like an inaccessible bibliography. Visitors should be able to understand Rebecca’s research focus quickly, place each publication in context, and reach the paper, DOI, code, or citation details without friction.

The solution

I created a restrained, content-first research website with a personal introduction and a data-driven publication archive. Each entry includes bibliographic metadata, paper and DOI links and, where available, code repositories. Visitors can view and copy citation or BibTeX information directly on the site, while , , and GitHub provide connections to Rebecca’s wider academic presence.

Result

The result is a focused public research presence that brings together Rebecca Westhäußer’s profile and publications. The site makes research not only discoverable but directly usable, with paper, DOI, code, and citation access in one place.

Implementation

My role

concept & content
design
Astro development
publication-data preparation

Making research easy to access

Profile & research context

a clear introduction to Rebecca Westhäußer’s doctoral research and institutional context
a focus on personal AI agents, memory architectures, and long-term human-AI interaction

Publications as a research archive

structured publication entries with authors, venue, DOI, and abstract
direct access to papers, code repositories, and expandable citation and BibTeX details

Connection & long-term maintenance

direct links to , , and GitHub
a responsive, accessible layout designed for a research presence that can grow over time

Research portfolio for an AI researcher