Our academic interests lie primarily in the fields of metaheuristic methodologies, combinatorial optimisation problems, as well as the interface between operational research and artificial intelligence. In particular, we value mathematical foundations and emphasize practical applications. The main solution methods, hybrid search approaches, are based on exploiting adaptive memory structures to explore effective trajectories through complex solution spaces. These methods are now well recognized to produce best known results for solving many complex problems. In fact, their development has become the focus of leading societies. We are especially interested in designing, analysing and implementing novel algorithms for challenging combinatorial problems in interdisciplinary research. Target applications are a wide range of problems in scheduling area, computational biology, supply chains, and human resource rostering.