Call for Demonstrations

The Demonstrations Track of ICDE 2025 invites exciting and highly interactive demonstrations on data engineering research. We solicit demo proposals in all areas of data and knowledge engineering, including but not limited to, database systems, data management and processing techniques, and data-intensive applications. We also encourage submissions from related areas such as DB + X, where X is ML/AI, health, education, visualization, systems, privacy, etc. All demonstration submissions must:

  • Provide the motivation behind the demonstrated concept(s).
  • Describe the system and the technology.
  • Explain what features and scenarios will be demonstrated, and
  • State the novelty and significance of the contribution.
Highlights for Demonstration Track
  • Demonstrations will be presented at the ICDE 2025 conference and the accompanying manuscripts will be published in the ICDE 2025 proceedings.
  • We encourage submissions to include a demonstration video and to creatively use the system on different scenarios, datasets and use cases
  • Accompanying paper format is 4 pages, including references.
Video Submission
We highly encourage the submission of a demonstration video (of up to 5 minutes, 50MB max. file size) together with your demonstration proposal. The purpose of the video is to convey an impression of what will be demonstrated and does not need not show the final, polished version. Both the demonstration proposal and the video will then be accessible by the reviewers. Your video could summarize your demonstration and also audio-visually highlight its most important aspects, such as the user interface, options for user interactions, the system setup, etc. The video should be submitted in MPEG/AVI/MP4 format and be playable by the common media players. Please note that you will need to first finish your demo proposal submission, and then edit it to add the video as a supplementary file.
Important Dates

All deadlines are 11:59PM Anywhere on Earth (AoE).

  • Demo submission due: Nov 06
  • Notification of acceptance: Dec 16 Dec 24
  • Camera-ready copy due: Mar 15
Dates Criteria for Selecting Demos

Demonstration proposals will be selected based on several criteria, including (i) relevance, (ii) novelty, (iii) depth, and (iv) the “wow” factor of the proposed demonstration. The proposal must clearly describe the functionality that will be demonstrated, and how the audience will be able to interact with the proposed system.

Demo Submission Information

Manuscripts must be prepared in accordance with the IEEE format.

The length of demo papers is 4 pages, including references. Only electronic submissions in PDF format will be considered. Please upload your submission to the ICDE 2025 Demos Track through the CMT submission site prior to the deadline.

Please refer to the COI and Diversity and Inclusion in writing instructions as detailed in:  https://ieee-icde.org/2025/cfp/.

Demonstration Chairs

Yoshiharu Ishikawa, Nagoya University, Japan

Arijit Khan, Aalborg University, Denmark

Bolong Zheng, Huazhong University of Science and Technology, China

PC Members

Ahmed Eldawy, University of California, Riverside

Andrea Mauri, Université Claude Bernard Lyon 1

Anna Pavlenko, Microsoft Gray Systems Lab

Bo Tang, Southern University of Science and Technology

Bo Zhao, Aalto University

Chaokun Wang, Tsinghua University

Chuangtao Ma, Aalborg University

Dalin Zhang, Aalborg University

Donato Tiano, Università degli Studi di Modena e Reggio Emilia

Gerardo Vitagliano, MIT CSAIL

Guanjie Zheng, Shanghai Jiao Tong University

Guiyuan Jiang, Ocean University of China

Haralampos Gavriilidis, Technische Universität Berlin

Jia Zou, Arizona State University

Jilin Hu, Aalborg University

Jingyuan Wang, Beihang University

Junghoon Kim, UNIST

Kaiqi Zhao, University of Auckland

Kaustubh Beedkar, Indian Institute of Technology Delhi

Kyoung-Sook Kim, National Institute of Advanced Industrial Science and Technology

Li Jiajia, Shenyang Aerospace University

Lisi Chen, University of Electronic Science and Technology of China

Loredana Caruccio, University of Salerno

Madhulika Mohanty, Inria Saclay

Makoto Onizuka, Osaka University

Mohammad Javad Amiri, Stony Brook University

Naheed Anjum Arafat, Nanyang Technological University

Nandish Jayaram, Intuit

Peng Fang, Huazhong University of Science and Technology

Qiang Gao, Southwestern University of Finance and Economics

Sijie Ruan, Beijing Institute of Technology

Sourav Sengupta, imec

Stefania Dumbrava,ENSIIE

Suprio Ray, University of New Brunswick, Fredericton

Tianyi Li, Aalborg University

Tung Kieu, Aalborg University

Vikram Goyal, IIIT Delhi

Wei Huang, Fuzhou University

Wengen Li, Tongji University

Xiangyu Ke, Zhejiang University

Xuan Luo, York University

Yan Zhao, Aalborg University

Yanhong Li, South-Central Minzu University

Yanwei Yu, Ocean University of China

Youhuan Li, Hunan University

Yurong Cheng, Beijing institute of technology

Yushuai Li, Aalborg University

Yuxiang Wang, Hangzhou Dianzi University

Zhengjie Miao, Simon Fraser University

Zhidan Liu, Hong Kong University of Science and Technology (Guangzhou)

Zhiqiang ZHONG, Aarhus University

41st IEEE International Conference on Data Engineering, Hong Kong SAR, China – May 19-23, 2025