2018 IEEE Big Data Workshop on

Big Data and AI for
Air Quality Estimation, Forecasting,
and Health Advice

Research Topics

We are all entitled to live with dignity in a clean environment. Unfortunately, with the limited number of air quality monitoring stations (e.g., only 35 in Beijing), we do not know the air quality in most urban areas. With big data and AI technologies, it is possible to collect complex, heterogeneous, high resolution, urban data, which may be used to estimate and forecast air quality, enabling the generation of personalized alert and advice to improve the health and well-being of individual citizens, and creating new business opportunities for the IT and healthcare industry. This workshop will bring together top academic and industrial researchers from around the world to tackle this important problem. Both theoretical and applied papers will be included. We are also interested in case studies of actual deployment.

  • Big data and AI technologies to estimate/predict air quality
  • Techniques to cleanse noisy/erroneous data and to fill in missing data
  • Air pollution real-time visualization
  • Air pollution related health and route advisory system
  • Case studies of actual deployment of air quality monitoring and health advisory systems

Important Days

01 Oct., 2018

Due date for full workshop papers submission

01 Nov., 2018

Notification of paper acceptance to authors

15 Nov., 2018

Camera-ready of accepted papers

10-13 Dec., 2018


Program Committee Members

  • Theo Damoulas, University of Warwick, UK
  • Bin Guo, Northwest Polytechnical University, China
  • Ben Hui, University of Helsinki, Finland
  • Cong Shen, University of Science and Technology of China, China
  • Zhiyi Lu, The University of Hong Kong