Xiao Liu -

Registered user since Wed 30 Oct 2019

Name: Xiao Liu

Bio: Xiao Liu received his PhD degree in Software Engineering at Swinburne University of Technology, Melbourne, Australia in 2011. He received his Master and Bachelor degree from the School of Management, Hefei University of Technology, Hefei, China, in 2007 and 2004 respectively, all in Information Management and Information System. 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 and edge computing, big data analytics, and human-centric software engineering.

Country: Australia

Affiliation: School of Information Technology, Deakin University

Personal website: https://sites.google.com/site/drxiaoliu/home

Research interests: Software Engineering, Distributed Computing, Workflow Systems

Contributions

ASE 2021	Proceedings Chair in Organizing Committee
ASE 2020	Author of Reducing Delay Penalty of Multiple Concurrent Software Projects based on Overtime Planning within the [Workshop] HCSE&CS-track Author of Detecting and Explaining Self-Admitted Technical Debts with Attention-based Neural Networks within the Research Papers-track Author of Edge4Real: A Cost-Effective Edge Computing based Human Behaviour Recognition System for Human-Centric Software Engineering within the Tool Demonstrations-track Publicity and Social Media Chair in Organizing Committee Session Chair of Panel Session & Closing (part of [Workshop] HCSE&CS) Author of Edge4Sys: A Device-Edge Collaborative Framework for MEC based Smart Systems within the Late Breaking Results-track Author of EXPRESS: An Energy-Efficient and Secure Framework for Mobile Edge Computing and Blockchain based Smart Systems within the Tool Demonstrations-track Committee Member in Program Committee within the Late Breaking Results-track
ASE 2019	Author of FogWorkflowSim: An Automated Simulation Toolkit for Workflow Performance Evaluation in Fog Computing within the Demonstrations-track