报告人：Professor Zeyu Gao, Computer Engineering Department,San Jose State University, USA

时    间：2018年6月9日 11:00

地   点：江宁校区勤学楼4202教室

摘要：

Water quality becomes one of the important quality factors for the quality life in smart cities. Recently, water quality has been degraded due to diverse forms of pollution caused by disposal of human wastes, industrial wastes, automobile wastes. The increasing pollution affects water quality and the quality of people's life. Hence, water quality evaluation, monitoring, and prediction become an important and hot research subject. In the past, many environmental researchers have dedicated their research efforts on this subject using conventional approaches. Recently, many researchers begin to use the big data analytics approach to studying, evaluating, and predicting water quality due to the advances of big data applications and the availability of environmental sensing networks and sensor data.

In this topic, Dr. Gao will review the published research results relating to water quality evaluation and prediction. Moreover, he will classify and compare the applied big data analytics approaches and big data based prediction models for water quality assessment. Furthermore, Dr. Gao will also discuss the future research needs and challenges.

报告人简介：

Dr. Gao is now a full professor in San Jose State University. Dr. Gao has published three technical books and over 200 widely cited scientific papers published in IEEE/ACM journals, magazines, International conferences and workshops. His current research areas include smart cities, big data and machine learning, cloud computing, TaaS/Mobile TaaS, software engineering, test automation, and mobile cloud services. Since 2016, Dr. Gao and his team have worked closely with the city of San Jose on different smart city projects in building future smart cities using different research grants from NSF, CEC, and Cities, as well as collaborated local companies. Dr. Gao has played as an active conference organizer for a number of IEEE international conferences and workshops. He has served as conference steering committee co-chair for IEEE MobileCloud, IEEE BigDataService, and IEEE Smart City Innovation. Besides, Dr. Gao has provided his technical consultant and training services for numerous international IT and telecommunication companies, including Fujitsu Network, Intuit, eBay, HP, IBM, Haiwei, Futurewei, Cisco, and UT-StartCom.