Explore future technologies. And design them.

At IFAI we combine scientific quality with actual application. Our goal is to analyse future technologies while actively helping to shape them and transfer them into practice. This close integration with practical contexts and use allows us to test, evaluate, and further develop technologies in real-world conditions.

Practical. Data-based. Effective.

Our research is based on continuously growing, real-world data sources, including:

• the Hochschuljobbörse
• the “Praxistage” event series
• the @hochschuljobboerse Instagram channel
• web analysis using Matomo 

Our areas of research at a glance:

Using AI in Software Development
We are researching how AI tools can be used for the specification, analysis, transformation, and development of code. We validate results using real project data and integrate them into existing dev-workflows.

Generating VR Worlds from Text Specifications
Based on formal and natural descriptions, we create interactive 3D/VR scenes and simulation environments. We examine constraints and semantic consistency, including layout, navigation, and interaction logic. The goal is to create reproducible pipelines from text to executable VR environments with clear evaluation criteria for quality and presence.

Natural Language Processing (NLP) Analysis
We develop methods for information extraction, classification, and normalisation of domain-specific texts (e.g. company profiles, job advertisements, project descriptions). The procedures are continuously evaluated against practical data and prepared for downstream matching tasks.

AI-based Matching & Recommendation Systems
We are researching matching methods that take preferences, skills, and context into account while ensuring explainability, fairness, and stability. Applications include searching for suitable company profiles, job advertisements, and curated recommendations for different target groups.