Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutDSG am HPI
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Research Cluster "Data and AI"

The research cluster Data and AI focuses on methods for the analysis, processing, integration and application of large data sets for prediction and automation. The development of modern and energy-efficient AI methods plays a significant role here. The HPI Research School „Data Science and Engineering“ is based here.

Prof. Dr. Felix Naumann

Prof. Dr. Felix Naumann (Speaker)
e-mail: felix.naumann(at)hpi.de
tel.: +49-(0)331 5509-280
Information Systems

Research Focuses:

  • data quality
  • data profiling
  • data preparation and data cleansing
  • information integration
Prof. Dr. Patrick Baudisch

Prof. Dr. Patrick Baudisch
Human Computer Interaction

Research Focuses:

  • interactive devices and systems
  • haptics
  • virtual reality
  • fabrication technology
  • uniting computer science and mechanical engineering

Prof. Dr. Gillian Bolsover
Digital Technology, Governance and Policy

Research Focuses:

  • digital social research
  • political big data
  • social media data collection and analysis methods
  • natural language processing

 

Prof. Dr. Gerard de Melo

Prof. Dr. Gerard de Melo
Artificial Intelligence and Intelligent Systems

Research Focuses:

  • deep learning
  • natural language processing
  • knowledge graphs
  • big data
  • multimodality
  • data integration
Prof. Dr. Holger Giese

Prof. Dr. Holger Giese
System Analysis and Modeling

Research Focuses:

  • models for software-intensive systems
  • adaptation policies
  • model analysis and development
Prof. Dr. Ralf Herbrich

Prof. Dr. Ralf Herbrich
Artificial Intelligence and Sustainability

Research Focuses:

  • energy-efficient AI processes
  • AI for saving energy
  • AI for energy-generation
  • AI for storing energy
Prof. Dr. Holger Karl

Prof. Dr. Holger Karl
Internet Technologies and Softwarization

Research Focuses:

  • mobile and wireless networks
  • data center networks
  • zero-touch networking
  • micro services
  • latency reduction
Prof. Dr. Christoph Lippert

Prof. Dr. Christoph Lippert
Digital Health - Machine Learning

Research Focuses:

  • AI methods in medicine
  • data analytics
  • recognition of disease patterns
  • effects of digital health measures
[Translate to Englisch:] Prof. Dr. Tilmann Rabl

Prof. Dr. Tilmann Rabl
Data Engineering Systems

Research Focuses:

  • efficient processing of data streams
  • complex data analysis
  • modern database system architectures
  • benchmarking
Prof. Dr. Bernhard Renard

Prof. Dr. Bernhard Renard
Data Analytics and Computational Statistics

Research Focuses:

  • automated data analysis
  • data integration
  • statistical estimation of error rates
  • software implementation
  • biomedicine