Dr Yuan Zhang is now cooperating with international colleagues from USA, Canada, Portugal, etc, initiating the second International Workshop on Big Data Analytics for Smart and Connected Health to be held at Philadelphia, USA, on July 17th.BIGDATA4HEALTH 2017, organized in conjunction with IEEE CHASE 2017, focuses on bringing together researchers and practitioners in mobile health, biomedical engineering and machine learning to showcase the progress, algorithms, and applications of analyzing and extracting knowledge from large-scale datasets for smart and connected healthcare.

Topics of interest included but not limited to:

• Store and retrieve ever growing dataset from smart and mobile devices

• New protocols and interfaces for integration/distribution of newly arrived data

• Outlier detection algorithms for big data analytics

• New approach to tackle large-scale bioinformatics classification problems

• Energy efficient data analytics scheme for high dimensional data

• Cloud computing and infrastructure for eHealth

• Machine learning frameworks designed on top of big data technologies

• Clustering algorithm for medical big data

• Information diffusion models and methods

• Large stream data analytics techniques on users’ historical data

• Optimize resource usage and energy consumption when executing the analytics application

• Typical mobile database management tools

• Novel applications and case studies for healthcare based on smart and mobile devices

• Medical data privacy preservation in cloud environment

In addition, BIGDATA4HEALTH is a serious event with its first Workshop successfully held in June 2016 in Washington DC, USA.

USLab张远博士作为TPC Chair,与美国、加拿大等个国家的同行合作,正在筹办第二届国际研讨会International Workshop on Big Data Analytics for Smart and Connected Health(BIGDATA4HEALTH)。会议将于2017年7月17日在美国费城举办,该研讨会是eHealth领域旗舰会议IEEE/ACM CHASE的组成部分。目的是为移动计算、生物医学工程、大数据分析、机器学习等领域的学者和业界人士建立平台,分享医疗大数据领域所取得的最新进展、算法与应用。会议主题请参考上文英文部分,会议论文集将由IEEE出版并由IEEExplore收录。