I am an Associate Professor in the School of Computing Technologies, RMIT University. I am the leader of the R2AI (Responsible Recommendation and AI) research group, and I am an expert in data science, specialised in recommender systems, quantum machine learning, log analysis, user profiling and data mining. In the last 5 years, my research has attracted over 2.2 million (AUD) research funding, including one Microsoft-funded project, 2 ARC (Australian Research Council) Discovery Projects, one Innovation Connections Grant, and one project via the Victorian Government’s Higher Education State Investment Fund (VHESIF). My research has won the “Alfred Deakin Medal for Doctoral Thesis” in 2013 at Deakin University, and the “best paper award” at the IEEE/ACM ASONAM 2012 Conference. My work has been applied to solve real world problems, including improving the effectiveness of online recommendation, recommending the right product to retail customers, and segmenting customers based on their physical movement and online browsing history. I have rich experience working with industries, e.g. MicroSoft, SEEK, Westfield, and Arup.

For teaching, I teach Data Science and Program courses, and have received the Executive Dean’s Teaching Excellence Award, RMIT University, Australia. 2018, and Student Choice Teaching Award, College of Science Engineering & Health, RMIT University, Australia. 2018. I am also the Program Manager of the Bachelor of Data Science program in the school.