World's Best Scientists 2026 revealed!
Samuel Madden

Samuel Madden

Award Badge
Computer Science
USA
2023

D-Index & Metrics

Computer Science

D-Index
109
Citations
64802
World Ranking
234
National Ranking
131

Research.com Recognitions

  • 2023 - Research.com Computer Science in United States Leader Award
  • 2020 - ACM Fellow For contributions to data management and sensor computing systems

Overview

Samuel Madden is affiliated with MIT in the United States and specializes in computer science with a focus on artificial intelligence, computer networks and communications, computer vision and pattern recognition, signal processing, and information systems.

Their work covers a range of main topics including data management and algorithms, advanced database systems and queries, topic modeling, cloud computing and resource management, advanced data storage technologies, distributed systems and fault tolerance, as well as automated road and building extraction.

Samuel Madden has contributed extensively to research literature with 145 publications in computer science. Their frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data
  • Proceedings of the 2022 International Conference on Management of Data
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Among their recent papers are:

  • "Aria" (2020, Proceedings of the VLDB Endowment)
  • "Robust Query Driven Cardinality Estimation under Changing Workloads" (2023, Proceedings of the VLDB Endowment)
  • "RPT" (2021, Proceedings of the VLDB Endowment)
  • "Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning" (2023, Proceedings of the ACM on Management of Data)
  • "FactorJoin: A New Cardinality Estimation Framework for Join Queries" (2023, Proceedings of the ACM on Management of Data)

Samuel Madden collaborates frequently with several coauthors, including Lei Cao, Favyen Bastani, Tim Kraska, Michael Cafarella, and Nan Tang.

In recognition of their contributions, they were awarded the ACM Fellow distinction in 2020 for work related to data management and sensor computing systems.

Best Publications

  • TAG: a Tiny AGgregation service for Ad-Hoc sensor networks

    Samuel Madden;Michael J. Franklin;Joseph M. Hellerstein;Wei Hong

  • C-store: a column-oriented DBMS

    Mike Stonebraker;Daniel J. Abadi;Adam Batkin;Xuedong Chen

  • TinyDB: an acquisitional query processing system for sensor networks

    Samuel R. Madden;Michael J. Franklin;Joseph M. Hellerstein;Wei Hong

  • TinyOS: An Operating System for Sensor Networks

    Philip Alexander Levis;Samuel Madden;Joseph Polastre;Robert Szewczyk

  • TelegraphCQ: continuous dataflow processing

    Sirish Chandrasekaran;Owen Cooper;Amol Deshpande;Michael J. Franklin

  • The end of an architectural era: (it's time for a complete rewrite)

    Michael Stonebraker;Samuel Madden;Daniel J. Abadi;Stavros Harizopoulos

  • TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.

    Sirish Chandrasekaran;Owen Cooper;Amol Deshpande;Michael J. Franklin

  • A comparison of approaches to large-scale data analysis

    Andrew Pavlo;Erik Paulson;Alexander Rasin;Daniel J. Abadi

  • Model-driven data acquisition in sensor networks

    Amol Deshpande;Carlos Guestrin;Samuel R. Madden;Joseph M. Hellerstein

  • CarTel: a distributed mobile sensor computing system

    Bret Hull;Vladimir Bychkovsky;Yang Zhang;Kevin Chen

  • The pothole patrol: using a mobile sensor network for road surface monitoring

    Jakob Eriksson;Lewis Girod;Bret Hull;Ryan Newton

  • The design of an acquisitional query processor for sensor networks

    Samuel Madden;Michael J. Franklin;Joseph M. Hellerstein;Wei Hong

  • VTrack: accurate, energy-aware road traffic delay estimation using mobile phones

    Arvind Thiagarajan;Lenin Ravindranath;Katrina LaCurts;Samuel Madden

  • Scalable semantic web data management using vertical partitioning

    Daniel J. Abadi;Adam Marcus;Samuel R. Madden;Kate Hollenbach

  • Continuously adaptive continuous queries over streams

    Samuel Madden;Mehul Shah;Joseph M. Hellerstein;Vijayshankar Raman

  • Integrating compression and execution in column-oriented database systems

    Daniel Abadi;Samuel Madden;Miguel Ferreira

  • BlinkDB: queries with bounded errors and bounded response times on very large data

    Sameer Agarwal;Barzan Mozafari;Aurojit Panda;Henry Milner

  • Column-stores vs. row-stores: how different are they really?

    Daniel J. Abadi;Samuel R. Madden;Nabil Hachem

  • Twitinfo: aggregating and visualizing microblogs for event exploration

    Adam Marcus;Michael S. Bernstein;Osama Badar;David R. Karger

  • Fjording the stream: an architecture for queries over streaming sensor data

    S. Madden;M.J. Franklin

Frequent Co-Authors

Eugene Wu
Eugene Wu Columbia University
Daniel J. Abadi
Daniel J. Abadi University of Maryland, College Park
Michael J. Franklin
Michael J. Franklin University of Chicago
Joseph M. Hellerstein
Joseph M. Hellerstein University of California, Berkeley
Nan Tang
Nan Tang Hong Kong University of Science and Technology (Guangzhou)
Alvin Cheung
Alvin Cheung University of California, Berkeley
Amol Deshpande
Amol Deshpande University of Maryland, College Park

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