Data Management and Machine Learning

Main content

Computers have fundamentally changed the way the world produces, manages, processes and analyzes data. Not only does the amount of data keep growing every day, what we do with the data and how we extract value from it is becoming a dominant theme in our society.

ETH computer science covers all aspects of the data value chain: production and acquisition of data (e.g., sensors, web crawling, Internet of Things); data organization and storage (databases, storage engines, file systems, models and formats); data processing (data warehousing, data integration, image processing); learning from data (machine learning, data mining, natural language understanding); making predictions and decisions (e.g., information retrieval, intelligent systems, medical data analytics). Our expertise ranges from the design and analysis of algorithms and models for machine learning and their use in intelligent systems to complete system design in software and hardware, encompassing small embedded systems as well as large scale data centers and cloud based platforms.

Areas of research

artificial intelligence, big data, cloud computing, data analytics, databases, data mining, data science, enterprise computing, machine learning, medical informatics, natural language understanding

Computer science professor Gustavo Alonso

Gustavo Alonso
Professor


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databases, distributed systems, enterprise computing, system aspects of programming languages, multicore, FPGAs

Computer science professor Joachim Buhmann

Joachim Buhmann
Professor


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machine learning, statistical learning theory, model/algorithm validation, information theory, biomedical data analysis

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Computer science professor Thomas Hofmann

Thomas Hofmann
Professor


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machine learning, natural language understanding, information retrieval, user analytics

Computer science professor Donald Kossmann

Donald Kossmann
Professor


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databases, information systems, cloud computing, enterprise computing

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Computer science professor Andreas Krause

Andreas Krause
Associate Professor


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machine learning, data mining, optimization, learning systems, sensing, network analysis

Computer science professor Moria Norrie

Moira Norrie
Professor


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information systems, object databases, web engineering, personal information management

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Computer science professor Marc Pollefeys

Marc Pollefeys
Professor


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computer vision, 3D modeling, robotic perception, computer graphics, machine learning

Computer science professor Gunnar Rätsch

Gunnar Rätsch
Professor


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biomedical data science, machine learning, computational genomics, cancer research

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Computer science professor Timothy Roscoe

Timothy Roscoe
Professor


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operating systems, distributed systems, networking, enterprise computing

Computer science professor Peter Widmayer

Peter Widmayer
Professor


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algorithms, optimization, applications

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Computer science professor Ce Zhang

Ce Zhang
Professor


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databases, data processing, machine learning and data science

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Page URL: https://www.inf.ethz.ch/research/data-management-machine-learning.html
23.06.2017
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