Research fields, FHNW School of Computer Science

Agile Software Engineering: fast, smart and future-ready

Innovative AI solutions for real-world applications – from Deep Learning to Agentic AI

Astroinformatics and Space Sciences links Data Science and Space Science.

From Infrastructure as Code to cloud nativeness: expertise for scalable and sustainable solutions

Understanding images, connecting systems – Computer Vision for real-time and edge computing

Data infrastructures for the future – robust, scalable and future-proof

Design user experiences – intuitive, emotional, meaningful

Exploratory Data Science – Identifying Patterns, Understanding Relationships, Creating Knowledge

XR experiences – where digital worlds meet reality.

The Heliophysics research group investigates the dynamics of the Sun, with a particular focus on highly energetic phenomena.

High-Performance Computing for the Future – Efficient Algorithms and Hybrid Architectures for Data-Intensive Applications

Designing human–machine interactions to be natural and intuitive.

Automated image analysis: precision, efficiency and scalability for complex applications

Development of algorithms for the optimal generation of information and knowledge

IoT that connects – secure, smart, and future-ready

Data exchanged by Internet of Things (IoT) applications is vulnerable to attack. We implement appropriate measures to ensure that data is effectively protected at all times. Blockchain-based concepts are also employed where appropriate.

Software Development Connecting People and Technology

Spatial Computing – Intelligently Connecting and Experiencing Spaces

Leveraging Visual Data Intelligently – From Capture to Interaction

Mastering Web Technologies – From Development to Open-Source Innovation