European Master Team Projects (MTP)

The European Master Team Project is a cooperation between the Institute for Enterprise Systems (InES) and the Babeş-Bolyai University in Cluj-Napoca, Romania. Students from the University of Mannheim team up with students from Romania and work on projects together. Usually the teams meet in Germany as well as in Romania. The projects will be supervised by Dr. Christian Bartelt.

Project Setup

Total duration: 6 months
Cluj students participate in project for 3 to 4 months
Exchange trips depend on travel regulations due to the coronavirus pandemic, but are desired and fully sponsored by the organizers.
Applicable for Master's Program in Business Informatics, Mannheim Master in Data Science and other study programsupon request.

Student Reviews

Master Team Projects 2022 Mannheim – Cluj

A student Diary from the European Master Team Project 2022

Upcoming Projects (FSS 25)

Physical Guards 25 – Physical-based Security for Smart Home utilizing AI

This student project is centered on the development and assessment of a physical guard system in a smart home environment in cooperation with M2M solutions.

Development of an Outlier Detection System for Usage Statistics (in cooperation with Osapiens)

The aim of this project is to develop an automated system that analyzes customer usage statistics of the ‘osapiens HUB’ in real time and identifies outliers.

Current Projects

AI-powered Webcrawler for Business Information Extraction (in cooperation with Osapiens)

The objective of this project is to design, implement, and deploy an AI-powered webcrawler that efficiently navigates through business websites in a hierarchical manner, identifies relevant data points, and employs NLP techniques to extract crucial information related to the company's operations and structure.

Integrating Generative AI and Tabular Machine Learning in the SAP Ecosystem (in cooperation with NTT Data)

The objective of this international team project is combining Generative AI and tabular machine learning within the SAP ecosystem.

Past Projects

Credit: Image by Freepik

Xipe-AI

The aim is to develop an AI-algorithm, capable of automatedly assessing the liver in Computed Tomography (CT) scans and indicate, if abnormalities like metastases require further imaging or treatment.

Credit: Pixabay

Riskevaluation-Software for EUDR Compliance in Deforestation Regulation

This project entails the development of specialized software for effective implementation and monitoring of the EUDR guidelines.

Intelligent Hospital Logistics

This team project aims to develop robust AI-based routing strategies that integrate world-knowledge from large language models to meet the challenges of clinical processes and heterogeneous supplies.

Physical Guards – AI based Security for Smart Home

The project involves setting up a sophisticated smart home system, complete with microcontrollers and sensors that mimic real-life scenarios, thus generating relevant data. Students will construct their dataset using this setup and simulate potential security breaches.

Credit: Pixabay

Lunatic Driving AI

The students will develop a benchmark testing environment for the evaluation of machine generated sets of test cases for self-driving vehicles. The core will be a completely customizable driving AI capable of doing several driving mistakes and safety violations.

Goal Based Traffic Control

In this Master Team Project, a traffic control system will be developed, that controls traffic lights in a simulated environment (SUMO traffic simulator) on the basis of the recognized goals of observed traffic participants.

AI-powered Webcrawler for Business Information Extraction

Credit: Anna Logue

Decision Support Tool for Acute Stroke Diagnosis

In this Team Project, a decision support tool for acute stroke will be developed.

Credit: KEA-BW

Route Planning Tool for Green Parcel Delivery

The scope of this Team Project is to develop a prototype for an AI-based route planning of the pick-up stations as well as a data platform to monitor all processes.

Board Game AI 2

The objective of this international team project is the development of an intelligent agent to play the board game Turing Tumble. The game agent should be trained using reinforcement learning (RL) in order to solve simple logic challenges building on the implementation of a predecessor project.

Contact

Credit: Katrin Glückler

Andrej Tschalzev

Research Assistant

University of Mannheim
Institute for Enterprise Systems
L 15, 1–6
68161 Mannheim

E-mail: andrej.tschalzevuni-mannheim.de