Welcome to the working group for Network and Data Science Management

One focus of our research is on the methods and applications of operations research for a wide range of disciplines, such as logistics, transportation, healthcare, production and manufacturing. The problems considered are often of industry-specific or interdisciplinary importance. We develop in particular (but not exclusively) advanced solution methods of (integer) linear and quadratic optimization, such as cutting plane methods and branch-and-cut algorithms. In line with the algorithm engineering approach, practical implementations and qualified experimental studies are just as much a regular component as theoretical considerations.

Another thematic focus is network and data analysis with the aim of gaining structural information and knowledge as well as strategic decision support, for example by means of supervised and unsupervised machine learning methods and graph algorithms.

We therefore also stand for practice-relevant methodological expertise in teaching, which is becoming increasingly important in view of the ever-increasing need for efficiency and sustainability as well as the ever-increasing availability and criticality of data. New problems and challenges from science and practice meet with our efforts to solve them in the best possible way, depending on their nature, either in collaboration with our cooperation partners or together in the course of new cooperations. Please feel free to contact us!