Name: The 6th IEEE International Conference on Big Data Intelligence and Computing (IEEE DataCom 2021)
Start: 2021-10-23 00:00:00 UTC
End: 2021-10-25 00:00:00 UTC
Location: Venue to be announced

Publication：

All accepted papers in the main tracks, workshops, special sessions and demos/posters will be published in an IEEE Computer Society proceedings. Extended versions of selected excellent papers will be considered for publication in special issues of prestige journals (SCI/EI indexed).

Local Chair：

Lu Chen, Huizhou University, China

Zhen Wang, Huizhou University, China

Huabin Wang, Huizhou University, China

Tao Xu, Huizhou University, China

Xiaohuan Zhang, Huizhou University, China

Haiyang Yu, Huizhou University, China

Tel: (+86) 28 87 555 888

Mob: (+86) 132 8128 0917

Email: mengruzou@163.com

Key Themes & Topics

Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications.

The goal of the IEEE 2021 International Conference on Big Data Intelligence and Computing (IEEE DataCom 2021) is to establish an international forum for engineers and scientists to present their ideas and experiences in the fields of Big Data intelligence and computing. IEEE DataCom 2021 welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research work in Big Data.

IEEE DataCom 2021 will be held on October 23-25, 2021, co-located with IEEE SAGC 2021 in Huizhou, Guangdong, China.

Topics of interest include, but are not limited to:

The 5Vs of the data landscape: volume, variety, velocity, veracity, value
Big data science and foundations, analytics, visualization and semantics
Software and tools for big data management
Security, privacy and legal issues specific to big data
Big data economy, QoS and business models
Scientific discovery and business intelligence
Software, hardware and algorithm co-design, high-performance computing
Large-scale recommendation systems and graph analysis
Infrastructures and systems for big data analytics and managements
Middleware and tools for big data analytics and managements
Algorithmic, experimental, prototyping and implementation
Data quality issues: such as validation, metrics, optimizations and consistency
Data-driven innovation, computational modelling and data integration
Data intensive computing theorems and technologies
Big data for advanced manufacturing and productivity
Modelling, simulation and performance evaluation
Green data centers / environmental-friendly perspectives
Computing, scheduling and resource management for sustainability
Complex applications in areas where massive data is generated

The 6th IEEE International Conference on Big Data Intelligence and Computing (IEEE DataCom 2021)

Location

Venue to be announced

Managed by

PCO

Sponsors & Partners

Media Partner

IConf