Welcome to the research cluster "Data and AI"! Our research focuses on exploring and developing advanced data and AI technologies. Our goal is to shape the future of data analysis, data processing, and automatic prediction through innovative approaches.
Our Mission
Our cluster focuses on researching the methods for collecting, analyzing, processing, integrating and applying big data. These processes are crucial for making accurate predictions and implementing efficient automation in a wide range of industries.
Research Focuses
- Data analysis and processing: We develop and optimize new hardware and advanced techniques for analyzing and processing large amounts of data. We either produce this data ourselves through measurement methods, or we use existing data sources, such as social media, sensors, and traditional databases.
- Data integration: Our focus is on checking the data quality of various data sources, cleansing them if necessary, and finally integrating them into a uniform data set. High-quality data sets and their metadata, for example, provide an excellent basis for training AI systems.
- Application and predictions: By using statistical, AI, and machine learning tools, we enable precise predictions with uncertainties and the automation of decision-making processes. These technologies help companies and organizations to take proactive measures, fostering a culture of continuous improvement and process optimization.
- Energy-efficient AI processes: Our research focuses on the development of modern, energy-efficient AI processes. These processes are designed to be robust and sustainable while minimizing the ecological footprint.
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: 17/09/2024, Mareike-Vic Schreiber