Data Intensive Applications & Systems Lab

Despite recent technological advances both in the data management and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated algorithms to store, manage, and interpret data.
Research in DIAS lab focuses on addressing these challenges by adapting data management technology to computer architecture trends, enabling discoveries in scientific domains through automating physical database design and revolutionizing exploration algorithms in very large data repositories. 

we are hiring!

The Data-Intensive Applications and Systems laboratory at the Ecole Polytechnique Fédérale de Lausanne (EPFL) seeks highly motivated :

  • post-doctoral researchers with proven scientific excellence in the areas of just-in-time query processing, parallel and distributed data management, and data management systems on emerging hardware. Successful candidates are passionate about inventing, building, and publishing quality database systems research. A strong publication record and hands-on experience in system development are especially important. See job announcement here.
  • student assistants to support the development of Proteus, our innovative open-source based database engine . See job announcement here.



© 2023 EPFL

DIAS research: publications accepted at EDBT and CIDR 2024

— The DIAS team will present their work on "Optimizing Goodput via Sharing for Batch Analytics with Deadlines" at EDBT 2024 and on "Oligolithic Cross-task Optimizations across Isolated Workloads" at CIDR 2024.

© 2023 DIAS

Highlights of the DIAS presence at SIGMOD and VLDB 2023

— In the summer of 2023 DIAS' research was presented both at SIGMOD and VLDB, two of the most prestigious conferences for Data Management.

© 2022 EPFL

DIAS wins the 2022 ACM SIGMOD Test-of-Time Award

— The ACM SIGMOD Test of Time Award for 2022 was given to the DIAS lab for the paper NoDB: Efficient Query Execution on Raw Data Files.

Two girls looking to the stars © iStock / EPFL 2022

Girl Power: Can we Break the Bias in Al and Beyond?

— We all know the story. It gets rolled out every March when women and men around the world celebrate International Women’s Day. Human biases are well documented, from the implicit to the explicit and they have always existed but as algorithms and big data increasingly run our lives these biases become embedded in everything.

© 2020 EPFL

My students are my biggest achievement

— EPFL Professor Anastasia Ailamaki wins the prestigious Women in Database Research Award and is appointed as a member of Academia Europaea.

IC students Merlin Nimier-David  (left) and Panagiotis Sioulas (right) © EPFL

Two IC students receive EPFL's first Facebook Fellowships

— Merlin Nimier-David and Panagiotis Sioulas, both PhD students in the School of Computer and Communication Sciences, have become the first EPFL students to receive funding from the prestigious Facebook Fellowship program.

Prof. Ailamaki receives her award at the annual ACM SIGMOD conference in Amsterdam. © Anastasia Ailamaki

Anastasia Ailamaki wins ACM SIGMOD innovation award

— Anastasia Ailamaki, head of the EPFL School of Computer and Communication Sciences (IC) Data-Intensive Applications and Systems Laboratory (DIAS) has received the 2019 ACM SIGMOD Edgar F. Codd Innovations Award.

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