Actively researching, passing on knowledge

A high level of practical relevance

The majority of our research is conducted at the Institute of Computer Science (ICS) and our research institutes. The ICS operates for the most part as autonomous unit, run like a business and with a strong practical relevance. It is specialized on areas of expertise in Computer Science. The research is thus highly diverse and covers the following topics amongs others.

Artificial Intelligence and Machine Learning [AI:ML]

The Artificial Intelligence and Machine Learning [AI:ML] chair headed by Prof. Damian Borth covers the area of deep neural networks. Our research focuses on representation learning  through supervised and unsupervised approaches with applications to text-to-speech generation, computer vision and remote sensing, and financial time-series data.

Please find further information here.

Data Science

Data science refers to the use of scientific methods, processes, algorithms and systems to gain knowledge and insights from data in various forms, both structured and unstructured. The research focuses on the following areas:

Please find further information here.

Interaction- and Communication-based Systems

In our research group, we explore interactions among devices and people in ubiquitous computing environments. Our focus is on the integration of physical things into the Web, on increasing the autonomy of Web-enabled devices and on making interactions of connected devices intelligible for people.

Please find further information here.

Software Systems Programming and Development

The Software Systems Programming and Development Chair covers both the development and evaluation of software artifacts. Our research focuses on adaptive software systems and event-driven systems to neuro-adaptive software systems and software development tools.

Please find further information here.