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