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, Oracle, USA
Xing Xie, Microsoft, China
Minos Garofalakis, ATHENA Research Center & Technical University of Crete, Greece
Area Chairs
C Mohan, Tsinghua University
Cyrus Shahabi, University of Southern California
Fatma Ozcan, Google
Ippokratis Pandis, Amazon Web Services
Jingren Zhou, Alibaba Group
Kai Zeng, Huawei Technologies
Meichun Hsu, Oracle
Rajesh Bordawekar, IBM T. J. Watson Research Center
Stavros Harizopoulos, Facebook
Yannis Velegrakis, Utrecht University
Reviewers
Alekh Jindal, Tursio
Alkis Simitsis, Athena Research Center
Amine Mhedhbi, Polytechnique Montréal
Anderson Chaves Carniel, Huawei Technologies
Antonios Katsarakis, Huawei Research
Bei Li, Google
Berthold Reinwald, IBM Research – Almaden
Bin Wu, Alibaba Group
Bo Tang, Southern University of Science and Technology
Brian Cooper, Google
Cheng Chen, Bytedance
David Cohen, Intel
Dongxiang Zhang, Zhejiang University
Ekaterini Ioannou, Tilburg University
Eser Kandogan, Megagon
Guanfeng Liu, Macquarie University
Hailong Liu, Northwestern Polytechnical University
Iman Elghandour, SAP
Ioana Ileana, Université Paris Cité
Jie Bao, Microsoft Research Asia
Kai Huang, HKUST
Katsiaryna Mirylenka, IBM Research Europe
Konstantinos Karanasos, Meta
Krishna Kantikiran Pasupuleti, Oracle
Leonid Libkin, University of Edinburgh & RelationalAI
Lu Chen, Zhejiang University
Maria Luisa Sapino, Torino University
Mengxuan Zhang, Iowa State University
Mohamed Eltabakh, Qatar Foundation
Mosha Pasumansky, Firebolt
Nan Tang, HKUST (GZ)
Nikolay Yakovets, TU Eindhoven
Odysseas Papapetrou, TU Eindhoven
Paul Boniol, Inria, Ecole normale supérieure
Paul Brown, Teradata
Pedro Pedreira, Meta Platforms Inc.
Pinar Karagoz, Middle East Technical University (METU)
Pratanu Roy, Huawei Research and Development (UK) Ltd.
Quanqing Xu, OceanBase
Ruiyuan Li, Chongqing University
Shasank Chavan, Oracle
Shen Liang, Université Paris Cité
Siqiang Luo, Nanyang Technological University
Stefano Bortoli, Huawei Research Center
Tieke He, Nanjing University
Tieying Zhang, Bytedance
Tristan Allard, Univ Rennes, CNRS, IRISA
Utku Sirin, Harvard University
Vassilis Christophides, ENSEA
Venkata Meduri, IBM Research Almaden
Wentao Wu, Microsoft Research
Xiao Qin, Amazon Web Services
Xiaoyang Wang, University of New South Wales
Xiaoye Miao, Zhejiang University
Xin Cao, University of New South Wales
Yingqiang Zhang, Alibaba Group
Yongxin Tong, Beihang University
Yufei Han, Inria
Yurong Cheng, Beijing institute of technology
Yuwei Peng, Wuhan University
Ziawasch Abedjan, TU Berlin