Research Areas

Algorithmic Game Theory and Cybersecurity

Combinatorial Optimisation

In this area, we consider the design of algorithms for classical combinatorial optimization problems. An important area of research are submodular optimization problems as well as multi-component problems such as the traveling thief problem.

Foundations of Bio-Inspired Computing

We study foundations of bio-inspired computation techniques such as evolutionary algorithms and ant colony optimization. Obtaining rigorous insights into these highly successful methods for complex optimization problems increases their theoretical understanding and provides guidelines for the design of even more powerful algorithms. Our new bio-inspired computing techniques are based on theorectical insights and constitute reliable and efficient methods for dealing with complex problems.

Real World Applications

In this area, we design and analyze algorithms for complex real-world problems from important areas such as mining and health.

Renewable Energy

Renewable energy is playing an increasing role in the supply of energy worldwide and will help mitigate climate change. We as computer scientists contribute to the mitigation with the development of algorithmic solutions to a wide range of challenges. For example, we have extensive experience in the design optimisation of wind farms, and in the development of human-readable prediction models.