Applied Machine Learning

The Applied Machine Learning group aims to develop and apply novel Machine Learning methods for real-world applications. Emerging digitalization allows companies from different fields of industry to produce and collect data from various resources. This is realized by technologies like the Internet of Things (IoT), cyber-physical systems and cloud-computing. To effectively handle this big data, Deep Learning and Signal Processing techniques are needed to provide powerful and promising solutions.

 

Group Head

 

Group Members

 

Current Students

• Aleksei Zhdanov, M. Sc.

If you are interested in writing a Bachelor’s or Master’s thesis in our group, please check the lab’s Student Theses and Jobs.

 

Projects

 

Completed Project

• Green Belt ML@Operations
• Theoretical Machine Learning
• Data Mining in the U.S. National Toxicology Program Database
• Machine Learning for Predictive Analytics