Full name: 2024 7th International Conference on Data Storage and Data Engineering (DSDE 2024)
Abbreviation: DSDE 2024

*The 7th International Conference on Data Storage and Data Engineering*
(DSDE 2024)
February 27-29, 2024 | Shanghai, China

We are delighted to invite you to join the 7th International Conference on Data Storage and Data Engineering (DSDE 2024), which will take place during February 27-29, 2024, in Shanghai, China. Organized by Donghua University, China, this conference serves as a platform for researchers, academics, industry professionals, and experts in the field of data storage and data engineering to come together and exchange knowledge, ideas, and insights.

We look forward to welcoming you to DSDE 2024 in Shanghai, where you will join a community of passionate professionals and contribute to shaping the future of data storage and data engineering.

★Publication
All papers will be strictly double blind reviewed by the program committee, and accepted papers of DSDE 2024 after proper registration and presentation will be published in the conference proceedings and submitted for indexing by Ei Compendex and Scopus.

▶ DSDE 2023 conference proceedings (IEEE CPS) | IEEE XPlore | has been indexed by Ei Compendex and Scopus.
▶ DSDE 2022 conference proceedings (ACM-ISBN: 978-1-4503-9572-4) has been indexed by Ei Compendex and Scopus.
▶ DSDE 2021 conference proceedings (ACM-ISBN: 978-1-4503-8930-3) has been indexed by Ei Compendex and Scopus.
▶ DSDE 2019 conference proceedings (ACM-ISBN: 978-1-4503-7216-9) has been indexed by Ei Compendex and Scopus.

★Topics
Topics of interest for submission include, but are not limited to:
▷BIG DATA AND ANALYTICS: ▪ Big Data Applications and Case Studies ▪ Computational Models for Big Data ▪ Data Standards and Interoperability ▪ Social Data Analytics and Web Mining ▪ Big Data as a Service ▪ Big Data Infrastructure and Cloud/Grid/Stream Computing
▷DATA MANAGEMENT AND QUALITY: ▪ Architectural Concepts for Data Management ▪ Mobile Data Management and IoT Data ▪ Large Data Systems Modeling and Management ▪ Open Data and Transparency in Research Data ▪ Smart Cities and Urban Data Analytics ▪ Data and Information Quality Management
▷DATA SCIENCE AND MACHINE LEARNING: ▪ Data Fusion and Integration ▪ Pattern Recognition and Predictive Modeling ▪ Support Vector Machines and Hybrid Methods ▪ Data Mining and Knowledge Discovery ▪ Deep Learning and Neural Network Applications ▪ Evolutionary Computing and Optimization
▷DATABASES AND DATA SECURITY: ▪ Database Architecture and Performance Optimization ▪ Large-Scale and Distributed Databases ▪ Mobile and NoSQL Databases ▪ Object-Oriented and Open Source Databases ▪ Query Processing and Optimization ▪ Data Integrity and Consistency
For more topics, please visit: http://dsde.org/CFP.html

★Submission Guideline
♢ English is the official language. Paper should be prepared and presented in English.
♢ Full paper (no less than 4 full Pages) submission is required for Publication and Presentation. For presentation only, just send us the abstract.
♢ Submission:
- By online submission system: http://confsys.iconf.org/submission/dsde2024
- Or Submit to dsde_contact@163.com as attachment

★General Program
First Day - February 27, 2024
10:00-17:00 | Registration & Materials Collection
14:00-16:00 | Campus Tour
14:00-17:00 | Committee Conference

Second Day - February 28, 2024
09:00-09:10 | Opening Ceremony
09:10-09:50 | Keynote Speech I
09:50-10:30 | Group Photo & Coffee Break & Poster Session
10:30-11:10 | Keynote Speech II
11:10-11:50 | Keynote Speech III
12:00-13:30 | Lunch
13:30-15:30 | Invited Speeches & Parallel Sessions
15:30-16:00 | Coffee Break
16:00-18:00 | Invited Speeches & Parallel Sessions
18:00-20:00 | Dinner Banquet

Third Day - February 29, 2024
09:00-12:00 | Invited Speeches & Parallel Sessions
13:30-14:30 | Awards & Closing Ceremony
14:30-19:00 | City Tour

★Contact us
Conference secretary: Ms. Yolanda Dong
Email: dsde_contact@163.com
Tel.: +86-18080013977
WeChat: csit2009
Website: http://www.dsde.org/
Office Hour: Monday-Friday, 9:30-18:00 (GMT+8)