The 2020 International Workshop on Pervasive Health with Artificial Intelligence (PHAI-20)


With the popularity of smart devices and social media, the emerging artificial intelligence theories and technologies are reshaping the landscape of human health by providing an new approach to pervasive health. The pervasive health is an interdisciplinary field that enables the intelligent systems to sense and mine health states, support smart decisions, maximize the treatment outcomes and facilitate prevention and surveillance based on the ubiquitous ‘digital footprints’ from heterogeneous data sources, e.g. ubiquitous sensors, social media and healthcare systems. Compared with the conventional healthcare industry, AI-enabled pervasive health provides one automated solution to conduct deep and comprehensive analysis for healthcare with efficient and effective diagnosis, personalized therapeutic approaches and early prevention.

The goal of this workshop is to provide a forum for researchers and practitioners to discuss and share their research work associated with AI-enabled human health. We welcome contributions within a broad range of intelligent sensing and computing to foster collaboration and to apply AI and ML to some of the most pressing topics in human health.


The 2020 international workshop on pervasive health with artificial intelligence (PHAI-20) aims at providing a forum for researchers and practitioners to discuss and share their innovation and undergoing research work related with human health and AI. Topics of interest include, but are not limited to the following:

  1. Data mining and machine learning for pervaisve health
  2. Explainable models for precise diagnosis
  3. Causality inference for early prevention
  4. Information systems for public health
  5. Analytics for big data related with public health
  6. Fusion of heterogeneous data
  7. Pruning and compression of deep learning models

Paper Submission

Submitted papers should adhere to the GPC workshop submission formatting requirements (e.g., page limit and format). Submission link: .

For the preparation of the camera-ready papers/files, authors have to strictly adhere to the Springer CCIS Authors' Instructions and are strongly encouraged to use the CCIS LaTeX style files or templates. The template for CCIS is avaible at springer( ).

Important Dates

Paper Submission Deadline: Feb 1st, 2020

Authors Notification: March 15th, 2020

Camera-Ready Paper Due: April 1st 2020

Conference Date: May 8, 2020


Yunji Liang, Northwestern Polytechnical University, China

PC Members

Zhu Zhang, Institute of Automation Chinese Academy of Sciences, China

Qingpeng Zhang, City University of Hong Kong, Hong Kong

Xiaolong Zheng, Institute of Automation Chinese Academy of Sciences, China

Xuan wei, University of Arizona, USA

Sagar Samtani, University of South Florida, USA

Saike He, Institute of Automation Chinese Academy of Sciences, China

Fan Wu, Shanghai JiaoTong University, China

Xiao Liu, Arizona State University, USA

Helei Cui, Northwestern Polytechnical University, China

Xiaolin Fang, Southeast University, China