The IEEE International Conference on Data Engineering (ICDE) 2024 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.

• 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.

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.

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

• Submissions due: October 22, 2023
• Notification to authors (Accept/Revise/Reject): December 18 December 22, 2023
• Revisions due: January 29 February 12, 2024
• Final notification to authors (Accept/Reject): February 20 March 5, 2024
• Camera-ready copies due: March 1 March 22, 2024

Manuscripts must be prepared in accordance with the IEEE format, and submitted to the ICDE 2024 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 2024 cannot be under review for any other conference or journal during the entire time it is considered for ICDE 2024, 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 2024 Research Track guidelines on Inclusion and Diversity in Writing, and Conflicts of Interest.

• Ashraf Aboulnaga, Qatar Computing Research Institute, HBKU, Qatar
• Peter Boncz, CWI, Netherlands
• Fatma Özcan, Systems Research@Google, USA

Michael Abebe, Salesforce
Ziawasch Abedjan, Leibniz Universitat Hannover
Angela Bonifati, Lyon 1 University
Renata Borovica-Gajic, University of Melbourne
Cheng Chen, Bytedance
Lei Chen, Hong Kong University of Science and Technology
Yannis Chronis, Google
Brian Cooper, Google
Niv Dayan, University of Toronto
Cagatay Demiralp, MIT CSAIL
AnHai Doan, University of Wisconsin-Madison
Iman Elghandour, SAP
Mohamed Eltabakh, Qatar Foundation
Umar Farooq Minhas, Apple
Anja Gruenheid, Microsoft
Rihan Hai, TU Delft
Madelon Hulsebos, University of Amsterdam
Ekaterini Ioannou, Tilburg University
Alekh Jindal, SmartApps
Eser Kandogan, Megagon Labs
Pinar Karagoz, Middle East Technical University (METU)
Konstantinos Karanasos, Meta
Jyoti Leeka, Microsoft
Chuan Lei, Amazon Web Services
Bei Li, Google
Leonid Libkin, University of Edinburgh & RelationalAI
Siqiang Luo, Nanyang Technological University
Sujaya Maiyya, University of Waterloo
Essam Mansour, Concordia University
Venkata Vamsikrishna Meduri, IBM Research, Almaden
Amine Mhedhbi to Polytechnique Montreal
Katsiaryna Mirylenka, IBM Research - Zurich
Varun Pandey, TU Berlin
Yannis Papakonstantinou, Google
Kunsoo Park, Seoul National University
Mosha Pasumansky, Firebolt
Pedro Pedreira, Meta Platforms Inc.
Olga Poppe, Microsoft
Xiao Qin, AWS AI/ML
Berthold Reinwald, IBM Research-Almaden
Daniel Ritter, SAP
Mary Roth, UC Irvine
Abhishek Roy, Snowflake
Bart Samwel, Databricks
Maria Luisa Sapino, U. Torino, Italy
Sebastian Schelter, University of Amsterdam
Alkis Simitsis, Athena Research Center
Yannis Sismanis, Databricks
Nan Tang, HKUST (GZ)
Abdul Wasay, Intel
Bin Wu, Alibaba Group
Nikolay Yakovets, TU Eindhoven
Kai Zeng, Huawei
Dongxiang Zhang, Zhejiang University
Tieying Zhang, Bytedance
Yingqiang Zhang, Alibaba Group