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Research groups in SCS

The division SCS works in several areas where we contribute to future solutions in the areas data science, software construction, distributed and parallel systems, computer architecture, network systems, and network systems security.

Research on fundamental aspects of software technology and computer systems focusing on cloud computing, service computing, model-based computing systems, social networks, time aware systems, data science and applied artificial intelligence (AI), software engineering, networked systems, internetworking and security and privacy.

Machine Learning and Computational Health

Data Science: Machine Learning

Research on algorithms and systems for data analysis, machine learning and data mining. We work in healthcare, drug development, climate research, vehicle maintenance and social networking.

GALE - Graph Analytics and Learning Environments

GALE: Graph Analytics and Network Learning

Focuses on bridging the gap between Machine Learning and Distributed Systems to address the challenges posed by centralized AI services.

GALE - Graph Analytics and Network Learning

Programming languages and modelling

We investigate programming languages and modelling languages, cyber-physical systems, model based computer systems, compilers and machine leärning.

Programming languages and modelling

Software Engineering

Software Development with Clouds and Artificial Intelligence

We research Software technology for Cloud computing, and also AI techniques for instance for for health care and smart cities.

Data Systems Lab

We focus on data-driven system design with applications in serverless computing, distributed databases, AI, data stream platforms, graph query systems, and acceleration using emerging new hardware and methods.

Data Systems Lab

Distributed and Parallel Systems

Distributed and Parallel Systems

We develop large distributed systems and algorithms in data intelligent cloud services, big data and data analysis systems.

Networked Systems Security

Networked Systems Security

We make networked systems trustworthy by shielding them and their users from attacks and abuse. Our research solving security and privacy problems..

Network Systems

Network Systems

Our main research focus is making it easy to develop and manage key societal Network Systems that meet their objectives. Classic examples include: high performance, high reliability, and low-power.