EUROPEAN MASTER TEAM PROJECTS (MTP) IN THE HWS 2021/22 - Apply until 29.06.21

Selected Past Projects

AI Drone Pilot (HWS2020/21): With the ongoing trend towards drones in many areas of applications like shipping and delivery, geographic mapping, disaster management, weather forecasting and so on it is of critical importance to have safe, reliable and fast drone control system. This Master Team Project focused on hands-on experience with drone software systems in combination with AI concepts in a playful environment. The international team developed a drone flight control system on top of a virtual simulation environment and participated in an internal competition for the best AI pilot.

Presentation (Video) 

VanAssist (FSS 2019): This project developed a mobile application with an own backend. You can find more information about the project backgroud here.

    Student Report (PDF) Presentation (Video)

    Project Sponsor

    The MTP will be organized by the Institute for Enterprise Systems (InES) in cooperation with the Babeş-Bolyai University in Cluj-Napoca (Romania, https://www.cs.ubbcluj.ro/en/). The MTP will be supervised by Dr. Christian Bartelt.

    Project Setup

    • Total duration: 6 months (13.09.2021 – 28.03.2022)

    • Cluj students participate in project for 3-4 months (September 2021 – January 2022)

    • Exchange trips depend on travel regulations (COVID-19), but are desired and fully sponsored by the organizers

    • Applicable for M.Sc. Business Informatics, M.Sc. Data Science and other study programs upon request

    Project "Neural Power"

    • Goal - Use Artificial Intelligence to identify and schedule the shiftable energy consumption of households according to the availability of renewable energies based on an aggregated energy signal

    • Tasks

      • Gain hands-on experience with the application of state-of-the-art AI concepts in the context of a real research project

      • Implement a running prototype with AI-based modules to solve real-world challenges in energy consumption planning

      • Focused tasks for applying AI: Appliance Detection, Energy Signal Disaggregation and Electricity Price Forecasting

    • Required Skills

      • Programming skills mandatory (Python preferred); Experience in version control systems (e.g., Git); Benefitial: Know-How in Machine Learning

      • Open-minded character; Outstanding teamwork; Great communication skills; High motivation and interest in the topic!

    Slides

    Project "Emergent Mobile App Selection"

    • Goal - Development of a mobile app selection application that emergently configures the set of selectable apps at runtime, dependent on the current goals and needs of the user.

    • Tasks

      • Develop an Android application which automatically detects the current context, activities, and goals of the user and provides a widget that displays only the apps that are relevant in the recognized situation

      • Gain hands on experience with implementing Android apps in combination with current AI concepts in the area of emergent, context aware systemst

    • Required Skills

      • Programming skills (e.g., Java, Kotlin); Experience in version control systems (e.g., Git); Benefitial: Know-How in Mobile App Development or AI methods (symbolic and data-driven)

      • Open-minded character; Outstanding teamwork; Great communication skills; High motivation and interest in the topic!

    Slides

    Application Process

    If you are interested in participating, please send an email to wilken@es.uni-mannheim.de until 29.06.2021 EOD containing the title of your desired project, a current Transcript of Records and your CV (optional).

    In case of any questions, do not hesitate to contact wilken@es.uni-mannheim.de as well.