Prof. Dr.-Ing. Johannes Maucher
Media University Stuttgart
Nobelstrasse 10
70569 Stuttgart
++49 711 8923 2178


Bachelor Medieninformatik (MI)

Master Computer Science and Media (CSM)

Current Research Projects


2nd Deeplearning Day at HdM, 12th January, 2018

We are happy to announce the 2nd HdM Deeplearning Day at Friday, January 12th, 2018, room I003, Nobelstr. 8 Deep Learning is currently one of the hottest topics in computer science. The performance of existing applications such as object recognition, speech recognition or automatic translation have been revolutionized by deep neural networks. Moreover, this type of algorithms open doors for a wide range of new intelligent applications. The presentations of the 2nd Deeplearning cover current research directions, applications of deep learning in autonomous driving and architecture of complex and high-performing AI-systems. [Read More]

Publication in European Journal of Applied Physiology

Machine Learning is a quite universal science. Or better: The field of Machine Learning applications is currently growing rapidly. Right now, physiology is not a prime ML application-field, but I believe that there is much potential for intelligent algorithms to provide new insights in many medical disciplines. One proof for this believe is the fact that Machine Learners like me can publish in Physiologial Journals. Yes! This is my first publication in a Journal of Physiology: Recovery of the cardiac autonomic nervous and vascular system after maximal cardiopulmonary exercise testing in recreational athletes. [Read More]

Artificial Intelligence Hackathon Daimler TSS

The organizer’s of the hackathon are going to visit HdM at Thursday, October 19th, 9.30h, room 012. Interested students are cordially invited to attend this short informative event.

Anaconda Navigator Pic

Anaconda Navigator Pic

Setup Python and Jupyter Notebook

In most of my lectures Jupyter Notebooks are integrated. Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Code of many programming languages can be executed in Jupyter Notebooks. In my lectures Python is the language of choice. In order to work with Jupyter Notebooks I strongly recommend to download and install Anaconda 2.7. This distribution contains Python, a comprehensive bunch of packages, particularly tailored for data mining, data science, machine learning and scientific computing in general. [Read More]

Welcome to the new term WS1718

New term! New good intentions! New hope to realize them! And: new web-site :). You may have realized that some pages are still under construction, but the pages for the lectures in WS 1718 are quite complete. The most frequently asked questions at the start of a new term are: Which lectures are offered? At what time and what place? Here is the compact overview: Bachelor Artificial Intelligence starts Tuesday, October 10th at 8. [Read More]