The 2nd IEEE International Conference on Big Data Intelligence and Computing (DataCom 2016)

August 8-12, 2016

Auckland, New Zealand

http://grid.chu.edu.tw/datacom2016

Call for Papers

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 2nd IEEE International Conference on Big Data Intelligence and Computing (IEEE DataCom 2016) 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 2016 welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research work in Big Data. Authors of selected papers will be invited to submit an extended version (with at least 30% new material) for review and publication in special issues of international journals. Welcome to Chengdu, which has great weather, genuine Sichuan cuisine and many famous tourism places, such as Jiuzhai Valley, Chengdu Giant Panda Breeding Research Base, Emei Mountain and so on.

IEEE DataCom 2016 will be held on Dec. 8-12, 2016 in Auckland, New Zealand. 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
• Modeling, 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

Important Dates

Organizing Committees

General Chairs

• Yuanyuan Yang, Stony Brook University, USA
• Jie Li, University of Tsukuba, Japan
• Domenico Talia, Università della Calabria, Italy

General Executive Chairs

• Yang Xiang, Deakin University, Australia
• Kevin Wang, The Univ. of Auckland, New Zealand

Program Chairs

• Jingson Wu, University de Chile, Chile
• Rajiv Ranjan, Newcastle University, UK
• Vincent S. Tseng, National Chiao Tung Univ. Taiwan

Workshop Chairs

• Bahman Javadi, Univ. Western Sydney, Australia
• Che-Rung Lee, National Tsinghua Univ., Taiwan

Demo/Poster Chair

• Cho-Li Wang, The Univ. of Hong Kong, Hong Kong

Special Session Chair

• Bingsheng He, Nanyang Technological University, Singapore

Award Chair

• Patrick K. Hung, University of Ontario Institute of Technology, Canada

Tutorial/Panel Chair

• Bhekisipho Twala, Univ. Johannesburg, South Africa
• Junwei Cao, Tsinghua Univ., China

International Liaison & Publicity Chair

• Hai Jiang, Arkansas State University, USA
• David Taniar, Monash Univ., Australia
• Alex Kuo, University of Victoria, Canada
• Mianxiong Dong, Muroran Inst. Tech., Japan
• Victor Malyskin, RAS, Russia
• Jun Huang, CQUPT, China
• Luis Veiga, Instituto Superior Técnico, Portugal
• Yonghong Peng, University of Bradford, UK
• Bhekisipho Twala, Univ. Johannesburg, South Africa

Publication Chair

• Amir H. Alavi, Michigan State University, USA

Local Arrangement Chair

• Sheng Wen, Deakin University, Australia