报告人简介：
Dr. Xiao Liu received his PhD degree in Software Engineering from the Faculty of Information and Communication Technologies at Swinburne University of Technology, Australia, in 2011. He is currently a Senior Lecturer at School of Information Technology, Deakin University, Melbourne, Australia. Before that, he was teaching at Software Engineering Institute, East China Normal University, Shanghai, China. His research interests include workflow systems, cloud computing and social network. He was the CI for 4 national competitive grants in China including one from NSFC and one from the industry partner Tencent. He has been participated in 4 Australian Research Council projects. He has published over 70 papers. In recent years, he has published extensively in the areas of cloud workflow systems, including 2 monographs, 20 plus international journal articles such as ACM Transactions on Software Engineering and Methodology (ACM ToSEM), IEEE Transactions on Software Engineering (IEEE TSE), IEEE Transactions on Parallel and Distributed System (IEEE TPDS), IEEE Transactions on Computers (IEEE TC) and IEEE Transactions on Cloud Computing (IEEE TCC). He won the 2009 Chinese Government Award for Outstanding Self-Financed Students Abroad, the Best Faculty PhD Thesis Award at Swinburne University of Technology, he also received the Nomination Award for Outstanding Young Scientists, ACM and CCF (Shanghai Chapter) in 2014, and he was also the Finalist for 2014 Young Australia-China Alumni of the Year Award.
报告简介：
Cloud workflow has been extensively used in both scientific research and business process management. Typical scientific workflow examples including weather forecast, pulsar searching, and simulation for high-energy physics, and typical business workflow examples include travel bookings, bank transactions and securities exchanges. In this talk, I will introduce a few typical applications of cloud workflows and some selected research topics including the design of cloud workflow system, Quality of Service (QoS) management, data management, workflow scheduling and process mining.
