The Data Science Lab of LMU Munich is a community of students, academics and industrial partners. It does not directly offer scientific consulting or research projects. However, the Data Science Lab acts as a broker for student projects, academic research projects and job offerings in the area of Data Science.
The following is a list of previous research projects:
- Evaluation of Data Science Methods of CAN Measurements
with IAV, 2016
The goal of this project is to analyse the control unit and CAN measurements from automobiles using state-of-the-art Data Science methods.
- Solutions for High-Throughput Data
with Siemens AG, 2015 - 2018
The focus of the project is the development of algorithms and solutions to generate value out of heterogeneous data streams by means of data stream mining. Data streams with different characteristics are considered: sensor data streams, streams of complex heterogeneous data, ubiquitous data streams, and data from networks of sensors. Computational efficiency, error guarantees and scalability are a focus of this project.
- Social Graph of Innovators
with Siemens AG, 2015
The project aims at building a software tool for an interactive “Social Graph of Innovators”, based on co-authorship in scientific publications and other relations (e.g. being at the same institute, having the same keywords in their publications, referencing each other, etc.).