Dr Ren’s research focus is on indoor information retrieval, particularly the development of a model designed to track indoor visitors’ physical and web behaviour.
Information retrieval; data mining.
This is used to estimate the popularity of indoor visitors’ search queries including all major search engines such as Google, Yahoo, Bing, Baidu, ASK, AOL etc. The accuracy of the model was evaluated by using the web searching log in a large-scale shopping centre in Sydney across several types of indoor visitors, e.g. tourists, shopping centre employees and frequent visitors.
His collaborations with research teams at Deakin University on personalised information retrieval resulted in the development of a differential privacy method to address issues in collaborative filtering related to privacy. He also collaborates with international research teams at Arizona State University (USA) on large scale data mining and machine learning.
Dr Ren was awarded a Vice-Chancellor’s Postdoctoral Fellowship in 2015 and is based in the School of Science.