International Workshop on Environmental Health and Air Pollution (IWEHAP 2018)
to be held in conjunction with
The 11th EAI International Conference on Mobile Multimedia Communications (MobiMedia 2018)
When: 21-22 June 2018
- Where: Qingdao, China
- Submission Deadline: March 10, 2018
- Notification Due: April 10, 2018
- Final Version Due: April 30, 2018
Air pollution has been recognized as a major environment-related health threat and a risk factor for both acute and chronic respiratory disease. For instance, epidemiological studies have consistently shown an association between atmospheric particle pollution and the number of deaths from cancer and cardiovascular and respiratory diseases. Ozone can cause many health issues including irritation of the respiratory system, coughing, and reduced lung function. In order to better monitor pollution distribution and control its influence on public health, it is critical to estimate air pollution concentrations at different time and location and associate the concentrations with personal activities. Due to the rapid development of GIScience and spatial data technologies, air pollution studies using spatial analysis based on a variety type of available geo-tagged data presented significant opportunities in public health research.
The International Workshop on Environmental Health and Air Pollution (IWEHAP 2018) aims to discuss methods, opportunities, and challenges in linking air pollution spatiotemporal characteristics with public health outcomes by applying state-of-art methods such as machine learning, statistical data modeling, and big data analysis. The workshop plans to focus on the development of theories, methods, and practices in this interdisciplinary research. All submissions enabling cross-pollination of ideas on big data, machine learning, spatiotemporal analysis, sensor network, statistical modeling, visualization, exposure analysis, public health and air pollution are welcome. Topics include, but are not limited to:
Topics
- Spatiotemporal relationship between air pollution and chronic diseases
- Spatial uncertainty in modeling air pollution and/or public health data
- Big data handling in air pollution and public health
- Machine learning for geo-spatiotemporal big data in air pollution
- Statistical modeling for linkage between air pollution and public health
- Visual analytics approaches in analyzing air pollution data
- Analysis of exposure to ambient air pollution
- Analysis of individual exposure to air pollution based on sensors
- Sensor technologies in monitoring air pollution and health
- Spatial theories of air pollution and public health
- Real-time and/or historical air pollution analysis
Workshop Chairs
Dr. Lixin Li, Ph.D., Professor, Department of Computer Sciences, Georgia Southern University; P.O. BOX 7997, Statesboro, Georgia, USA, [email protected]
Dr. Xiaolu Zhou, Ph.D., Assistant Professor, Department of Geology and Geography, Georgia Southern University; P.O. BOX 8149, Statesboro, Georgia, USA, [email protected]
Dr. Weitian Tong, Ph.D., Assistant Professor, Department of Computer Sciences, Georgia Southern University; P.O. BOX 7997, Statesboro, Georgia, USA, [email protected]
Submission Guidelines
Papers should be submitted through the EAI ‘Confy‘ system and have to comply with the EAI Core format (see Author’s kit section). Please make sure to choose “Workshop on Environmental Health and Air Pollution” under the “Workshops & Tracks” section when you submit.
Tentative List of Technical Program Committee (TPC) Members
Dr. Angela Antipova, University of Memphis, USA
Dr. Gina Besenyi, Kansas State University, USA
Dr. Guofeng Cao, Texas Tech University, USA
Dr. Lei Chen, Georgia Southern University, USA
Dr. Meng Han, Kennesaw State University, USA
Dr. Dongying Li, Texas A&M University, USA
Dr. Jianzheng Liu, University of Hong Kong, CHN
Dr. Peng Jia, University of Twente, NLD
Dr. Yi Luo, Yunnan Normal University, CHN
Dr. Reinhard Piltner, Georgia Southern University, USA
Dr. Kai Wang, Georgia Southern University, USA
Dr. Chen Xu, University of Wyoming, USA
Dr. Ning Yu, State University of New York, USA