42nd IEEE International Conference on Data Engineering (ICDE), 2026

Fairmont The Queen Elizabeth

May 4 - 9, 2026

Fairmont The Queen Elizabeth

Montréal, Canada

May 4 - 9, 2026

Montréal, Canada

About the Conference

The annual IEEE International Conference on Data Engineering (ICDE) is one of the premier conferences in data and information engineering and addresses research issues on designing, building, managing, and evaluating advanced data intensive systems and applications. It is a leading forum for researchers, practitioners, developers, and users to explore cutting-edge ideas and to exchange techniques, tools, and experiences.

Each year, ICDE attracts researchers and practitioners from the academia, industry and government from across the world. The audience includes leading data scientists and professors, entrepreneurs, developers, talented young researchers/students and other thought leaders from major vendors and academia.

ICDE 2026 will be held in Montreal from May 4 to 8, 2026.

Subject Areas

Research Track Topics of Interest Industry and Application Track Topics of Interest

Keynote Speakers

Volker Markl

Professor · Technische Universität Berlin

Renée J. Miller

Professor · University of Waterloo

Lei Chen

Chair Professor · Hong Kong University of Science and Technology

Tim Kraska

Professor · Massachusetts Institute of Technology

Important Dates

2025-06-18 Research Track First Round Submission due CLOSED

2025-08-18 Research Track First Round Notification for authors (Accept/Revise/Reject) CLOSED

2025-09-22 Research Track First Round Revision due CLOSED

2025-10-20 Research Track First Round Notification to authors (Accept/Reject) CLOSED

2025-10-27 Research Track Second Round Submission due CLOSED

2025-12-22 Research Track Second Round Notification for authors (Accept/Revise/Reject) CLOSED

2026-01-26 Research Track Second Round Revision due CLOSED

2026-02-23 Research Track Second Round Notification to authors (Accept/Reject) CLOSED

2025-10-27 Industry and Application Track Submission due CLOSED

TBD Industry and Application Track Notification for authors (Accept/Revise/Reject) · End of December, 2025

2026-02-09 Industry and Application Track Revision due CLOSED

2026-02-23 Industry and Application Track Final notification to authors (Accept/Reject) CLOSED

2026-03-06 Industry and Application Track Camera-ready copy due CLOSED

2025-11-01 Demonstrations Submission due CLOSED

2026-02-01 Demonstrations Camera-ready due CLOSED

2025-09-15 Workshop Proposals Submission due CLOSED

2025-11-11 Tutorials Submission due CLOSED

2025-12-09 TKDE Poster Submission due CLOSED

2026-02-01 Ph.D. Symposium Submission due · Extended from January 15, 2026 CLOSED

2025-11-14 Lightning Talks Submission due CLOSED

2025-11-05 Data Engineering Future Technologies Abstract due · Original November 2, extended by 3 days to November 5 CLOSED

2025-11-09 Data Engineering Future Technologies Paper due CLOSED

2026-03-27 Early-Bird Registration Deadline · Extended from March 23 to March 27, 2026 (AoE) CLOSED

Call For Papers

Research Track Topics of Interest

AI for Database Systems and Database Systems for AI Benchmarking, Performance Modeling, Tuning, and Testing Cloud Data Management Data Mining with a focus on data management Data Integration and Heterogenous Data Management Data Models, Semantics, Query languages Data Quality, Curation, and Provenance Database Security and Privacy Data streams, Complex Event Processing and Edge Computing Data Systems on Modern Hardware Data Visualization and Interactive Data Exploration Data Warehousing, OLAP and Analytics Distributed Ledgers and Blockchains Distributed and Parallel Data Management Explainability, Fairness, and Trust in Data Systems and Analysis Graph Data Management Knowledge Graphs and Knowledge Management Multi-Modal Data management Natural Language Processing for Databases Query Processing and Optimization Responsible and Ethical Data Management Spatial and Temporal Data Management Storage, Indexing, and Physical Database Design Transaction Management Uncertain, Probabilistic, and Approximate Databases Workflows and Scientific Data Management

Industry and Application Track Topics of Interest

Database and data management systems Cloud systems Data systems on new hardware Scalable machine learning and data mining systems Data quality and cleaning Mobile data management Stream data processing and IoT Information retrieval Knowledge discovery Information integration Applications of LLMs to data management

Publication & Indexing

PublisherIEEE

ProceedingsIEEE Xplore

Conference Organization

Organized by

IEEE

Supported by

IEEE Technical Committee on Data Engineering (TCDE) Huawei ByteDance PingCAP Tencent Alibaba

Committee

Industry and Application Chair

Graham Cormode

Meta, UK

Prasad Deshpande

Databricks India, India

Berthold Reinwald

IBM Almaden Research Center, USA

Senior Program Committee

Andrey Balmin

Workday

Calisto Zuzarte

IBM

Flip Korn

Google, USA

Garret Swart

Self

Hakan Ferhatosmanoglu

Amazon and University of Warwick

Jingren Zhou

Alibaba Group

Lei Chen

HKUST

Rajeev Gupta

Microsoft

Spyros Blanas

The Ohio State University

Srinivas Karthik Venkatesh

Microsoft

Vuk Ercegovac

Databricks

Program Committee

Alekh Jindal

Tursio

Amirhossein Aleyasen

Datometry

Animesh Nandi

Google

Anja Gruenheid

Microsoft

Anshuman Dutt

Microsoft Research

Beng Chin Ooi

NUS

Bikash Chandra