Wei Shao is a Research Fellow in RMIT University and finished his PhD in the RMIT, Australia. His interest research area focused on data mining, spatio-temporal data analysis and device-free activity recognition. He received the Master of Science in the University of Hong Kong. Previously, he received a BEng in Software Engineering from Xidian University, China.
Deep Learning
Spatio-temporal Data Analysis
Activity Recognition
Nan Gao, Wei Shao, Flora Salim, ‘Predicting Personality Traits from Physical Activity Intensity’, IEEE Computer, July 2019
Jul 10/1919.
Measure multiple dimensions of high school student’s emotional, behavioural and cognitive learning engagement with sensing data in the wild
Derive activity, physiological, and environmental factors contributing to various dimensions of student learning engagement
Sep 08/2020.
This project that is funded by Northrop Grumman Corporation investigates the patterns of ground vehicles and aircraft trajectories, combining the analysis of their spatial movement behaviours and contextual information. We utilise state-of-the-art artificial intelligence and big data analytics techniques to clean, preprocess, and analyse sizeable on-ground aircraft GPS data. We also establish a context-aware system to predict the delay time of each aircraft by developing a novel Airport Traffic Complexity (ATC) model.
Jan 15/2020.
The Mornington Peninsula Shire (MPS) will develop a Smart Technology project to address growing demand on parking and amenity facilities in towns particularly with high tourist attraction. There is an increasing pressure to understand the volume of pedestrians, public transport users, and road users (in particular, private vehicle drivers) throughout the major townships in MPS and meet the increasing demand.
Jan 15/2020.
© 2021 Flora Salim - CRUISE Research Group.
