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Applied Machine Learning, Department of Computer Science (DCS)

  • Logo Applied Machine Learning, Department of Computer Science

    The Applied Machine Learning group at RPTU is twinned with the Data Science and its Applications research department at the DFKI. The focus of the group is "Providing concrete, sustainable solutions for the long-term benefit of people and organizations".

    Expertise of AML/DSA is divided into the following main research themes:

    • Assistant tools for AI prototyping
    • Spatio-temporal modelling and forecasting
    • Utilizing unstructured data and knowledge
    • Causal, probabilistic reinforcement learning that scales
    • Leaner, greener, cheaper AI

    Additionally, the Applied Machine Learning group leads the following taught courses

    • Engineering with Generative AI
    • Machine Learning 2
    • Collaborative Intelligence

    and developed the AI Advent Calendar (KI-Adventskalender) to teach AI concepts to school pupils in Germany.


    Address

    University of Kaiserslautern-Landau
    Department of Computer Science
    Applied Machine Learning
    Building 48, Room 373
    Gottlieb-Daimler-Straße
    67663 Kaiserslautern

    https://dsa.dfkide

Leading Researchers



Special Expertise

  • Basic Research

    • Machine Learning (ML): Representation Learning, Transfer Learning, Domain Adaptation, Artificial Neural Network (ANN), Gaussian Processes, Reinforcement Learning (RL)
    • Knowledge-Based Systems: Reasoning, Causality, Agent Systems
    • Technology Analysis: Social and Legal Framework

  • Application related Research

    • Smart Assistant Systems: Predictive Analysis, Digital Medicine, Biotechnology (Biotech)
    • Autonomous Systems
    • Perception and Sensor Fusion: Diagnostics
    • Information Retrieval (Knowledge / Data Management and Analysis)
    • Technology Analysis: Initial and Continuing Education

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