VLDB 2022: Call for Contributions - Industrial Track


The Industrial Track of VLDB 2022 will cover all aspects of innovative commercial or industrial-strength data management systems and solutions. We also welcome novel real-world applications of data management systems and experience in applying recent research advances to real-world problems. We require that at least one of the authors has a non-academic affiliation.

Submission Guidelines

We accept full papers (up to 12 pages + references) and extended abstracts (up to 6 pages + references). The papers should be prepared using the VLDB 2022 paper formatting guidelines.

Submissions must be made electronically, in pdf format, at the conference submission site: https://cmt3.research.microsoft.com/PVLDBv15_2022 . Prior to a full paper or an extended abstract submission, a short abstract of it should have been submitted at least 2 weeks before. If the latter isn’t done on time, the former will not be allowed!

Submissions to the industrial track are required to include all author names and affiliations. Any changes to authorship after paper acceptance will require approval by the industrial track chairs. Authors are encouraged to contact the industrial track chairs if they need any clarification regarding the suitability of their work to this track.

Conflicts of Interest (COI)

It is the full responsibility of all authors of a paper to identify all and only the PC members with whom they have a conflict of interest (COI), as defined below. Papers with incorrect or incomplete COI information at the time when submission closes will be desk rejected.

A paper author has a conflict of interest with a PC member when, and only when, one or several of the following conditions holds:

Important Dates

All deadlines below are 5 PM Pacific Time.

Submissions open December 6, 2021
Short abstracts deadline February 16, 2022
Full papers or extended abstracts deadline March 1, 2022
Notifications May 8, 2022
Camera-ready June 15, 2022

Industrial Track PC Chairs

C. Mohan, Tsinghua University
Eric Simon, SAP

Industrial Track PC Members

Allison Holloway Oracle, USA
Alon Halevy Facebook, USA
Amol Deshpande University of Maryland and WireWheel.io, USA
Ashwin Machanavajjhala Tumult Labs and Duke University, USA
Hanuma Kodavalla Microsoft, USA
Ihab Ilyas Apple, USA & University of Waterloo, Canada
Jianjun Chen ByteDance, USA
Juan Sequeda data.world, USA
Karthik Ramachandra Microsoft, India
Lanjun Wang Tianjin University, China
Laura Haas University of Massachusetts at Amherst, USA
Lyublena Antova Meta, USA
Matei Zaharia Stanford University & Databricks, USA
Matthias Boehm Graz University of Technology, Austria
Michael Carey UC Irvine, USA
Michaela Hardt Amazon Web Services, USA
Mohamed Soliman Apple, USA
Mourad Ouzzani Qatar Computing Research Institute, HBKU, Qatar
Nesime Tatbul Intel Labs and MIT, USA
Norman May SAP, Germany
Oktie Hassanzadeh IBM Research, USA
Per-Ake Larson University of Waterloo, Canada
Prasanta Ghosh Microsoft, USA
Ryan Johnson Databricks, USA
Sonia Bergamaschi University of Modena & Reggio Emilia and DataRiver, Italy
Stefan Mandl Exasol, Germany
Sudipto Das Amazon Web Services, USA
Tyler Akidau Snowflake, USA
Wei Wang ByteDance, Singapore
Yannis Katsis IBM Research, USA
Yingjun Wu Singularity Data, USA