The IEEE International Conference on Data Engineering (ICDE) 2025 Industry and Applications Track will feature high-quality submissions describing innovative industrial-strength data management systems and solutions in all areas of data management systems as well as innovative and demanding application scenarios.

Topics of Interest

The track will emphasize submissions that describe innovative industrial advancements in relevant areas including, but not limited to:

  • 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
 

We discourage submissions that do not articulate the innovative aspect of a product or application project (including relevant open-source software), but rather give a general overview. We also discourage submissions that address a pure research problem. Each submission must include at least one author with a non-academic affiliation (please note that this is not a sufficient condition for a paper to be considered as an industrial paper).

The Industry and Applications Track will accept short (6 pages + unlimited space for references) as well as long (12 pages + unlimited space for references) submissions. 

Important Dates

The Industry and Applications Track has only one round of submissions. All deadlines are 11:59PM Anywhere on Earth (AoE).

  • Submissions due: November 25, 2024
  • Notification to authors (Accept/Revise/Reject): January 21, 2025
  • Revisions due: February 25, 2025
  • Final notification to authors (Accept/Reject): March 25, 2025
  • Camera-ready copies due: April 8, 2025

Submission Guidelines

Manuscripts must be prepared in accordance with the IEEE format, and submitted to the ICDE 2025 Industrial Track submission website.

Long papers must not exceed 12 pages plus unlimited space for references, and short papers must not exceed 6 pages plus unlimited space for references. Only electronic submissions in PDF format will be considered. Papers that do not follow the guidelines or are not within the scope of topics relevant to ICDE will be desk rejected. Authors are encouraged to contact the industrial track chairs if they need clarification regarding the suitability of their work to this track.

A paper submitted to ICDE 2025 cannot be under review for any other conference or journal during the entire time it is considered for ICDE 2025, and it must be substantially different from any previously published work.

Submissions will be reviewed in a single-blind manner. Each submission must include all author names and affiliations. Changes to the author list after paper acceptance are not permitted. In case an exceptional situation arises necessitating a change in the author list, the situation needs to be explained via email to the industrial track chairs, who will decide whether to approve the change.

All accepted papers will appear in the proceedings. IEEE reserves the right to exclude a paper from distribution after the conference (e.g., removal from IEEE Xplore), if none of the authors attends the conference to present their paper.

All submissions should follow ICDE 2025 Research Track guidelines on Inclusion and Diversity in Writing, and Conflicts of Interest (scroll all the way down).

Industry and Application Chairs

Malu Castellanos, Teradata, USA

Xing Xie, Microsoft, China

Minos Garofalakis, ATHENA Research Center & Technical University of Crete, Greece

Reviewing Board (tentative)

Abdul Wasay, Intel

Abhishek Roy, Snowflake

Alekh Jindal, SmartApps

Alkis Simitsis, Athena Research Center

Amine Mhedhbi to Polytechnique Montreal

Angela Bonifati, Lyon 1 University

AnHai Doan, University of Wisconsin-Madison

Anja Gruenheid, Microsoft

Bart Samwel, Databricks

Bei Li, Google

Berthold Reinwald, IBM Research-Almaden

Bin Wu, Alibaba Group

Brian Cooper, Google

Cagatay Demiralp, MIT CSAIL

Cheng Chen, Bytedance

Chuan Lei, Amazon Web Services

Daniel Ritter, SAP

Dongxiang Zhang, Zhejiang University

Ekaterini Ioannou, Tilburg University

Eser Kandogan, Megagon Labs

Essam Mansour, Concordia University

Iman Elghandour, SAP

Jyoti Leeka, Microsoft

Kai Zeng, Huawei

Katsiaryna Mirylenka, IBM Research – Zurich

Konstantinos Karanasos, Meta

Kunsoo Park, Seoul National University

Lei Chen, Hong Kong University of Science and Technology

Leonid Libkin, University of Edinburgh & RelationalAI

Madelon Hulsebos, University of Amsterdam

Maria Luisa Sapino, U. Torino, Italy

Mary Roth, UC Irvine

Michael Abebe, Salesforce

Mohamed Eltabakh, Qatar Foundation

Mosha Pasumansky, Firebolt

Nan Tang, HKUST (GZ)

Nikolay Yakovets, TU Eindhoven

Niv Dayan, University of Toronto

Olga Poppe, Microsoft

Pedro Pedreira, Meta Platforms Inc.

Pinar Karagoz, Middle East Technical University (METU)

Renata Borovica-Gajic, University of Melbourne

Rihan Hai, TU Delft

Sebastian Schelter, University of Amsterdam

Shashank Chavan, Oracle

Siqiang Luo, Nanyang Technological University

Sujaya Maiyya, University of Waterloo

Tieying Zhang, Bytedance

Umar Farooq Minhas, Apple

Varun Pandey, TU Berlin

Venkata Vamsikrishna Meduri, IBM Research, Almaden

Xiao Qin, AWS AI/ML

Yannis Chronis, Google

Yannis Papakonstantinou, Google

Yannis Sismanis, Databricks

Yingqiang Zhang, Alibaba Group

Ziawasch Abedjan, Leibniz Universitat Hannover