World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7274
World Ranking
10126
National Ranking
4268

Overview

Nicolas Bruno is a researcher affiliated with Microsoft in the United States, focusing primarily on computer science. Their body of work spans several subfields, including computer networks and communications, signal processing, information systems, artificial intelligence, and hardware and architecture. This diverse expertise supports research activities in both theoretical and applied areas of computer science.

Their main areas of study include advanced database systems and queries, data management and algorithms, cloud computing and resource management, semantic web and ontologies, advanced data storage technologies, and parallel computing and optimization techniques.

Nicolas Bruno has contributed to multiple publication venues. The most frequent are:

  • Proceedings of the VLDB Endowment
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • arXiv (Cornell University)

Among their recent papers are:

  • "Hyperspace," 2021, Proceedings of the VLDB Endowment
  • "Computation Reuse via Fusion in Amazon Athena," 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • "Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All?", 2024, arXiv (Cornell University)
  • "Scaling GPU-Accelerated Databases Beyond GPU Memory Size," 2025, Proceedings of the VLDB Endowment

Their collaborations include frequent co-authors such as César Galindo-Legaria, Surajit Chaudhuri, Carlo Curino, Rahul Potharaju, and Terry Kim.

Best Publications

  • Holistic twig joins: optimal XML pattern matching

    Nicolas Bruno;Nick Koudas;Divesh Srivastava

  • STHoles: a multidimensional workload-aware histogram

    Nicolas Bruno;Surajit Chaudhuri;Luis Gravano

  • Evaluating top-k queries over Web-accessible databases

    N. Bruno;L. Gravano;A. Marian

  • Top-k selection queries over relational databases: Mapping strategies and performance evaluation

    Nicolas Bruno;Surajit Chaudhuri;Luis Gravano

  • Evaluating top-k queries over web-accessible databases

    Amélie Marian;Nicolas Bruno;Luis Gravano

  • Method and apparatus for exploiting statistics on query expressions for optimization

    Surajit Chaudhuri;Nicolas Bruno

  • Re-optimizing data-parallel computing

    Sameer Agarwal;Srikanth Kandula;Nicolas Bruno;Ming-Chuan Wu

  • An Online Approach to Physical Design Tuning

    N. Bruno;S. Chaudhuri

  • Automatic physical database tuning: a relaxation-based approach

    Nicolas Bruno;Surajit Chaudhuri

  • SCOPE: parallel databases meet MapReduce

    Jingren Zhou;Nicolas Bruno;Ming-Chuan Wu;Per-Ake Larson

  • Exploiting statistics on query expressions for optimization

    Nicolas Bruno;Surajit Chaudhuri

  • Flexible database generators

    Nicolas Bruno;Surajit Chaudhuri

  • Navigation- vs. index-based XML multi-query processing

    N. Bruno;L. Gravano;N. Koudas;Divesh Srivastava

  • Automated partitioning design in parallel database systems

    Rimma Nehme;Nicolas Bruno

  • Parallel data computing optimization

    Nicolas Bruno;Jingren Zhou;Srikanth Kandula;Sameer Agarwal

  • To tune or not to tune?: a lightweight physical design alerter

    Nicolas Bruno;Surajit Chaudhuri

  • Generating Queries with Cardinality Constraints for DBMS Testing

    N. Bruno;S. Chaudhuri;D. Thomas

  • Continuous cloud-scale query optimization and processing

    Nicolas Bruno;Sapna Jain;Jingren Zhou

  • Method and apparatus for using conditional selectivity as foundation for exploiting statistics on query expressions

    Nicolas Bruno;Surajit Chaudhuri

  • Progressive Parametric Query Optimization

    P. Bizarro;N. Bruno;D.J. DeWitt

  • AutoAdmin Project at Microsoft Research: Lessons Learned.

    Nicolas Bruno;Surajit Chaudhuri;Arnd Christian König;Vivek R. Narasayya

Frequent Co-Authors

Surajit Chaudhuri
Surajit Chaudhuri Microsoft (United States)
Jingren Zhou
Jingren Zhou Alibaba Group (China)
Luis Gravano
Luis Gravano Columbia University
Vivek Narasayya
Vivek Narasayya Microsoft (United States)
Srikanth Kandula
Srikanth Kandula Microsoft (United States)
Divesh Srivastava
Divesh Srivastava AT&T (United States)
Nick Koudas
Nick Koudas University of Toronto
Gerhard Weikum
Gerhard Weikum Max Planck Institute for Informatics
Per-Ake Larson
Per-Ake Larson Microsoft (United States)
Ion Stoica
Ion Stoica University of California, Berkeley

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