2026 IEEE International Conference on Data Science and Systems
Luoyang, Henan, China
October 29 - November 02, 2026
Important Dates
Paper Submission
July 15, 2026
August 05, 2026
Author Notification
September 10, 2026
September 15, 2026
Camera-Ready Submission
September 30, 2026
Registration Due
September 30, 2026
October 20, 2026
Conference Dates
October 29 - November 02, 2026
Organizing Committee
General Chairs
Wanchun Dou, Nanjing University, China
Muhammad Bilal, Lancaster University, England
Program Chairs
Xiaolong Xu, Nanjing University of Information Science and Technology, China
Xuyun Zhang, Macquarie University, Australia
Ruikun Luo, University of Macau, China
Executive Chairs
Yuan Gao, Zhengzhou University, China
Jing Yang, Zhengzhou University, China
Bin Gao, National University of Singapore, Singapore
Publicity Chairs
Jieming Yang, Zhengzhou University, China
Chaojun Zhang, Hainan University, China
Web Chair
Jiawei Wang, University of Warwick, UK
Steering Committee
Jianhua Ma (Chair), Hosei University, Japan
Laurence T. Yang (Chair), Zhengzhou University, China
M. Jamal Deen, McMaster University, Canada
Join us at the 2026 IEEE International Conference on Data Science and Systems
As an interdisciplinary area, Data Science draws scientific inquiry from a broad range of subject areas such as statistics, mathematics, computer science, machine learning, optimization, signal processing, information retrieval, databases, cloud computing, computer vision, natural language processing and etc. Data Science is on the essence of deriving valuable insights from data. It is emerging to meet the challenges of processing very large datasets, i.e. Big Data, with the explosion of new data continuously generated from various channels such as smart devices, web, mobile and social media.
Data systems are posing many challenges in exploiting parallelism of current and upcoming computer architectures. Data volumes of applications in the fields of sciences and engineering, finance, media, online information resources, etc. are expected to double every two years over the next decade and further. With this continuing data explosion, it is necessary to store and process data efficiently by utilizing enormous computing power. The importance of data intensive systems has been raised and will continue to be the foremost fields of research. This raise brings up many research issues, in forms of capturing and accessing data effectively and fast, processing it while still achieving high performance and high throughput, and storing it efficiently for future use. Innovative programming models, high performance scalable computing platforms, efficient storage systems and expression of data requirements are at immediate need. DSS (Data Science and Systems) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Data Science and Data Systems as well as their synergy.
IEEE DSS-2026 will be held in Luoyang, China, a historic city renowned for its rich cultural heritage and as one of the ancient capitals of China. The city features world-famous landmarks such as the Longmen Grottoes and the White Horse Temple, offering an inspiring environment that blends tradition with modern innovation.
Prospective authors are invited to submit their papers to DSS-2026. Accepted papers will be submitted for inclusion into IEEE Xplore, subject to meeting IEEE Xplore’s scope and quality requirements. Authors of selected best papers will be invited to extend their work for special issues of prestigious journals planned in conjunction with the conference.
Topics of interest include, but are not limited to:
- Track 1: Data Science
- Foundational theories of data science
- Data classification and taxonomy
- Data metrics and metrology
- Data analytics
- Social network analysis and mining
- Security, privacy, and trust in data
- Information retrieval
- Track 2: Data Processing Technology
- Data representation and processing
- Machine learning and deep learning
- Graph neural networks
- Semi-supervised and unsupervised learning
- Statistical, mathematical, and probabilistic modeling and theories
- Data visualization
- Track 3: Data Systems
- Storage and file systems
- High performance access toolkits
- Compiler and runtime support
- Real-time data intensive systems
- Multi/many-core platforms
- Big data and cloud computing
- Track 4: Data Applications
- Business and finance applications
- Industrial data applications
- Bioinformatics applications
- Healthcare and medical services
- Applications in soil and water
- HPC systems for data application
Paper Submission
All papers need to be submitted electronically through the conference submission website (https://edas.info/N35260) in PDF format. The materials presented in the papers should not be published or under submission elsewhere. All submissions will undergo a single-blind peer-review process and will be evaluated on the basis of their technical quality, originality, significance, and relevance to the conference. Each paper is limited to 8 pages (or 10 pages with over-length charge) for a regular full paper, 6 pages (or 8 pages with over-length charge) for a full paper including figures and references using the IEEE Computer Society Proceedings manuscripts style.
Paper Publication
Papers accepted by IEEE DSS 2026 conference will be published by the IEEE Computer Society Press. At least one author of each accepted paper is required to register and present their work at the conference; otherwise, the paper will not be included in the proceedings. All accepted papers will be submitted to IEEE Xplore and EI. Distinguished papers presented at the conference, after further revision, will be invited for submission to a special issue.
Sponsored and Organized by
