World's Best Scientists 2026 revealed!

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Computer Science

D-Index
35
Citations
9707
World Ranking
11447
National Ranking
4702

Overview

Ugur Cetintemel is affiliated with Brown University in the United States and has produced research spanning both Medicine and Computer Science disciplines. Their work integrates expertise in fields such as Epidemiology, Computer Networks and Communications, Artificial Intelligence, Biomedical Engineering, and Pulmonary and Respiratory Medicine.

The primary research topics covered in Ugur Cetintemel's publications include:

  • Acute Ischemic Stroke Management
  • Advanced Database Systems and Queries
  • Advanced X-ray and CT Imaging
  • Cerebrovascular and Carotid Artery Diseases
  • Venous Thromboembolism Diagnosis and Management
  • Peripheral Artery Disease Management
  • Data Quality and Management

The scientist has contributed to research published in a variety of venues, such as:

  • Radiology
  • Journal of Stroke and Cerebrovascular Diseases
  • Proceedings of the VLDB Endowment
  • Movebank
  • SSRN Electronic Journal

Significant recent publications include:

  • "Detecting Large Vessel Occlusion at Multiphase CT Angiography by Using a Deep Convolutional Neural Network" (2020, Radiology)
  • "End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study" (2022, Journal of Stroke and Cerebrovascular Diseases)
  • "Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems" (2025, Proceedings of the VLDB Endowment)
  • "Dynamic Query Refinement for Interactive Data Exploration" (2020, Movebank)
  • "Leveraging Large Language Models to Detect Protected Heath Information: Does Context Matter?" (2024, SSRN Electronic Journal)

Frequent collaborators in Ugur Cetintemel's research include Grayson L. Baird, Zhicheng Jiao, Jerrold L. Boxerman, Zhusi Zhong, and Matthew T. Stib.

Best Publications

  • Aurora: a new model and architecture for data stream management

    Daniel J. Abadi;Don Carney;Ugur Çetintemel;Mitch Cherniack

  • Aurora: a data stream management system

    D. Abadi;D. Carney;U. Çetintemel;M. Cherniack

  • Monitoring streams: a new class of data management applications

    Don Carney;Uǧur Çetintemel;Mitch Cherniack;Christian Convey

  • The 8 requirements of real-time stream processing

    Michael Stonebraker;Uǧur Çetintemel;Stan Zdonik

  • Load shedding in a data stream manager

    Nesime Tatbul;Uğur Çetintemel;Stan Zdonik;Mitch Cherniack

  • High-availability algorithms for distributed stream processing

    J.-H. Hwang;M. Balazinska;A. Rasin;U. Cetintemel

  • Operator scheduling in a data stream manager

    Don Carney;Uğur Çetintemel;Alex Rasin;Stan Zdonik

  • Towards a streaming SQL standard

    Namit Jain;Shailendra Mishra;Anand Srinivasan;Johannes Gehrke

  • Learning-based Query Performance Modeling and Prediction

    Mert Akdere;Ugur Çetintemel;Matteo Riondato;Eli Upfal

  • Staying FIT: efficient load shedding techniques for distributed stream processing

    Nesime Tatbul;Uǧur Çetintemel;Stan Zdonik

  • Retrospective on Aurora

    Hari Balakrishnan;Magdalena Balazinska;Don Carney;Uğur Çetintemel

  • Plan-based complex event detection across distributed sources

    Mert Akdere;Uǧur Çetintemel;Nesime Tatbul

  • The Aurora and Medusa Projects.

    Stanley B. Zdonik;Michael Stonebraker;Mitch Cherniack;Ugur Çetintemel

  • Performance prediction for concurrent database workloads

    Jennie Duggan;Ugur Cetintemel;Olga Papaemmanouil;Eli Upfal

  • Network-aware query processing for stream-based applications

    Yanif Ahmad;Uğur Çetintemel

  • A Cooperative, Self-Configuring High-Availability Solution for Stream Processing

    Jeong-Hyon Hwang;Ying Xing;U. Cetintemel;S. Zdonik

  • Distributed operation in the Borealis stream processing engine

    Yanif Ahmad;Bradley Berg;Uǧur Cetintemel;Mark Humphrey

  • A demonstration of the BigDAWG polystore system

    A. Elmore;J. Duggan;M. Stonebraker;M. Balazinska

  • Self-adaptive user profiles for large-scale data delivery

    U. Cetintemel;M.J. Franklin;C.L. Giles

  • Providing resiliency to load variations in distributed stream processing

    Unknown

  • An architecture for compiling UDF-centric workflows

    Andrew Crotty;Alex Galakatos;Kayhan Dursun;Tim Kraska

  • Power-efficient data dissemination in wireless sensor networks

    Ugur Cetintemel;Andrew Flinders;Ye Sun

  • Tupleware: "Big" Data, Big Analytics, Small Clusters

    Andrew Crotty;Alex Galakatos;Kayhan Dursun;Tim Kraska

  • A comparison of epidemic algorithms in wireless sensor networks

    Mert Akdere;Cemal Çagatay Bilgin;Ozan Gerdaneri;Ibrahim Korpeoglu

Frequent Co-Authors

Stanley B. Zdonik
Stanley B. Zdonik Brown University
Eli Upfal
Eli Upfal Brown University
Andrew Pavlo
Andrew Pavlo Carnegie Mellon University
David Maier
David Maier Portland State University
Henry F. Korth
Henry F. Korth Lehigh University

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