HPI’s "Data and AI" cluster pioneers research on the next generation of intelligent data systems. We unite experts in database and machine learning technology to shape the future of data processing, data analysis, and effective and trustworthy AI systems. Our work enables organizations and industries to harness the power of their data.
Our Mission
We advance the science of working with big data across its entire lifecycle — from collection and processing to analysis and practical application in AI systems. Our interdisciplinary approach combines efficient and effective data engineering with cutting-edge AI methods. By bridging these fields, we propose solutions that are not just powerful, but also reliable, practical, and sustainable.
Research Areas
Our research drives innovation across various domains — from making Data & AI systems more environmentally sustainable, to ensuring reliable data management at scale, to developing trustworthy machine learning methods. We collaborate with partners to transform research insights into real-world solutions, while training the next generation of experts in data engineering and AI.
Core Data Technologies
Data Engineering Systems: Advancing database architectures and efficient processing of complex data streams
Information Systems: Pioneering methods for data quality, profiling, preparation, and integration
Data Analytics and Computational Statistics: Developing automated analysis methods with statistical rigor, particularly for biomedical applications
AI and Intelligence
Artificial Intelligence and Intelligent Systems: Exploring deep learning, knowledge graphs, and multimodal machine learning
Artificial Intelligence and Sustainability: Creating energy-efficient AI solutions and applying AI to energy challenges
Algorithmic Decision Making and Society: Ensuring fair, transparent AI while addressing societal challenges
Applied Data & AI
Digital Health - Connected Healthcare: Harnessing data and AI for healthcare, from daily wellness to clinical applications
Data-Intensive Internet Computing: Building secure and efficient network infrastructures for modern data demands
Human Computer Interaction: Creating interactive systems that bridge digital and physical worlds
Digital Technology, Governance and Policy: Analyzing social and political data to understand technology's societal impact
Research School "Data Science and Engineering"
The heart of our cluster is the HPI Research School "Data Science and Engineering". This is where we train the next generation of data scientists and data engineers. Our students and researchers benefit from a solid education, while conducting basic research and working on innovative, practice-oriented projects that have a direct impact on the field of data science and engineering.
Become part of our cluster
Are you interested in studying or pursuing a research career in data and AI? The research cluster "Data and AI" offers an excellent platform to develop your skills and contribute to the future of data science and artificial intelligence.
Learn more about our cluster and become part of our dynamic and innovative community!
Cluster Members
Research Focuses:
- data quality
- data profiling
- data preparation and data cleansing
- information integration
Prof. Dr. Bert Arnrich
Head of Digital Health - Connected Healthcare
Phone: +49 331 5509-4851
Mail: bert.arnrich@hpi.de
Research Focuses:
- health data in daily life
- ubiquitous computing
- clinical data mining
- distributed AI
- affective computing
Prof. Dr. Vaibhav Bajpai
Head of Data-Intensive Internet Computing
Phone: +49 331 5509-3435
Mail: office-bajpai@hpi.de
Research Focuses:
- network protocols and architecture
- networked systems
- network infrastructure
- network security and privacy
Prof. Dr. Patrick Baudisch
Head of Human Computer Interaction
Phone: +49 331 5509-551
Mail: patrick.baudisch@hpi.de
Research Focuses:
- interactive devices and systems
- haptics
- virtual reality
- fabrication technology
- uniting computer science and mechanical engineering
Prof. Dr. Niclas Böhmer
Head of Algorithmic Decision Making and Society
Phone: +49 331 550-9196
Mail: niclas.boehmer@hpi.de
Research Focuses:
- Computational Social Choice
- Economics and Computation
- Fair & Transparent AI
- AI for Public Health
- Social Impact of Algorithms
Prof. Dr. Gillian Bolsover
Head of Digital Technology, Governance and Policy
Phone: +49 331 5509-571
Mail: gillian.bolsover@hpi.de
Research Focuses:
- digital social research
- political big data
- social media data collection and analysis methods
- natural language processing
Prof. Dr. Gerard de Melo
Head of Artificial Intelligence and Intelligent Systems
Phone: +49 331 5509-4906
Mail: gerard.demelo@hpi.de
Research Focuses:
- deep learning
- natural language processing
- knowledge graphs
- big data
- multimodality
- data integration
Prof. Dr. Ralf Herbrich
Head of Artificial Intelligence and Sustainability
Phone: +49 331 5509-3468
Mail: office-herbrich@hpi.de
Research Focuses:
- energy-efficient AI processes
- AI for saving energy
- AI for energy-generation
- AI for storing energy
Prof. Dr. Tilmann Rabl
Head of Data Engineering Systems
Phone: +49 331 5509-4881
Mail: tilmann.rabl@hpi.de
Research Focuses:
- efficient processing of data streams
- complex data analysis
- modern database system architectures
- benchmarking
Prof. Dr. Bernhard Renard
Head of Data Analytics and Computational Statistics
Phone: +49 331 5509-4961
Mail: bernhard.renard@hpi.de
Research Focuses:
- automated data analysis
- data integration
- statistical estimation of error rates
- software implementation
- biomedicine
Research News
Last change: 19/11/2024, Mareike-Vic Schreiber