Philippe Cudré-Mauroux

Philippe Cudré-Mauroux is a Full Professor at the University of Fribourg, Switzerland, where he leads the eXascale Infolab. He has held visiting researcher positions at MIT and Microsoft CISL, and serves on the Research Council of the Swiss National Science Foundation and the Scientific Advisory Board of the CHIST-ERA EU Research Programme.

Research Interests: His work spans exascale information management, big data, AI, knowledge graphs, linked data, time series data repair, and emergent semantics. He focuses on building scalable, intelligent data systems that integrate storage, computation, and semantics.

Publication Trends: His recent work emphasizes schema-aware knowledge graph completion, time series imputation and benchmarking, hardware-accelerated data systems, and large language models for data cleaning. His research bridges database systems, AI, and systems architecture, often targeting high-performance, real-world applications.

Scientific Awards:

• ERC Consolidator Grant (2016)
• Google Faculty Research Award (2013)
• Verisign Internet Infrastructures Award (2012)
• Best Paper Awards at VLDB (2020), AAMAS (2019), and Swiss Data Science Conference (2020)
• EPFL Doctorate Award and Press Mention (2007)
• Best Mentor Award at ISWC (2010)

Advising and Grants: He mentors a large group of researchers and students, many of whom are co-authors on his publications. He has secured significant funding, including a €2M ERC Grant and multiple Google and Amazon grants, supporting a vibrant research lab focused on next-generation data infrastructure.

Labs and Teams: He leads the eXascale Infolab at the University of Fribourg, a dynamic research group actively publishing in top-tier venues and developing innovative tools for data management and AI integration.