Databases and Information Systems

The research group of Databases and Information Systems at RUB devises novel techniques for managing decentralised data, information, and knowledge with a focus on query optimisation, federated query processing, and data quality. As part of our research, we also study the application of Machine Learning approaches to solve diverse problems in Data and Knowledge Management. For example, we leverage latent features from sub-symbolic representations of knowledge to uncover hidden patterns that can be used to predict missing assertions or properties in knowledge bases.

Neural Plasticity Lab

Neuroplasticity describes the brain's ability to adapt to new experiences and boundary conditions over the entire lifespan. The Neural Plasticity Lab is working on issues of functional, integrative and cognitive neuroscience with an emphasis on cortical plasticity, learning and aging.

Organic Computing

We do research on self-organizing systems in computer vision, control, and machine learning.

Real-Time Computer Vision

Dealing with the topic of efficient computer vision, our group has a long and successful history at the chair. Our current focus lies on the technologies for driver assistance systems, which represent an important and challenging field of application. These intelligent systems analyse the vehicle´s environment via different types of sensors, for instance video and radar, thus, increasing safety and comfort for the driver.

Scalable Machine Learning

We develop machine learning and deep learning architectures that are efficient and scalable, as well as algorithms necessary to make use of scalable models for continual learning.

About the INI

The Institut für Neuroinformatik (INI) is a research unit of the Faculty of Computer Science at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.

Contact

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210

sekretariat@ini.rub.de
www.ini.rub.de