Research Groups

The research in the SDPS Section is organized in research groups and labs, which often also involves researchers from other sections. The groups focus on the foundations, technologies and methods for data management systems, distributed software and systems, performance programming, process modelling & intelligence, security & privacy, computer supported cooperative work and health IT. Details on the work, members and projects can be found at the web pages of the individual groups.

Computer Supported Cooperative Work

We are an interdisciplinary research group that strives to understand the nature and requirements of cooperative work in order to design collaborative computational artifacts and technologies. 

Data Management Systems

The Data Management Systems (DMS) group conducts research in areas emerging with new challenges in data management.

Decentralized Systems

We research and develop foundations, technology and applications of efficient and secure networked/distributed computer systems controlled by multiple independent principals. This includes blockchain and distributed ledger technology, event-driven architectures, large-scale transaction processing and analytics (Big Data), and more.

Health IT

Our overall aim in health informatics is to research, design and prototype information systems that improve the quality and efficiency in healthcare. 

Process Modelling and Intelligence

We focus on the study of processes in all forms, including but not limited to, business, development, and physical processes.

Software Engineering and Formal Methods

We investigate and promote the synergies of software engineering and formal methods for the behaviour and information of systems, humans, and society. Our research topics cover security and privacy, reactive and event-based systems, no-code and model-driven software engineering, dependable systems, and more.

TRUSTWORTHY AI LAB

Artificial Intelligence poses opportunities and threats to society. The mission of the Trustworthy AI Lab is to advance AI research, education, policy and offer best practices to support ethical, responsible, mindful, sustainable, trustworthy AI and AI-based-applications.