CRUISE RESEARCH GROUP
CRUISE (Context Recognition, Urban Sensing and Intelligence) research group, led by Dr. Salim, meets weekly to discuss research ideas and papers in A*/A journal and conferences in ubiquitous computing, data mining, spatio-temporal and time-series data analysis, knowledge discovery, machine learning, and pattern recognition from sensor data. Members include current PhD students and their co-supervisors, and postdocs. We share our codes and some sample datasets in our CRUISE GitHub repository.
Projects
Behaviour Analytics of Indoor Occupants
This project will deploy machine learning to human behaviour and building operational data …
Swarming: Micro-flight Data Capture and Analysis
In response to the urgent need for more site specific and vertical environmental …
Time-series Forecasting and Segmentation
Today, we are faced with the increasing growth of ubiquitous sensors in various fields, …
Multi-resolution Situation Recognition for Urban-Aware Smart Assistant
This research aims to develop a framework to recognise and anticipate unforeseen emerging …
Deep Learning for Situation Awareness in Airport Operations
This project that is funded by Northrop Grumman Corporation investigates the patterns of …
Microsoft RMIT Cortana Intelligence Institute
Cortana Intelligence Institute is a co-funded initiative between Microsoft Research, …
Monington Peninsula Smart Parking and Amenities for High Demand Areas
The Mornington Peninsula Shire (MPS) will develop a Smart Technology project to address …
User Context and Community Modelling using Proximity Signals and Cyber, Physical, Social Behaviours
The modeling of social and mobility networks continues to gain importance in a variety of …
Latest News
Team Members
PhD Students
Kai Qin
Spatio-temporal Data, Machine Learning, Graph Alignment & Optimisation
Shohreh Deldari
Multi-dimensional Time Series Analysis, Deep Learning in Temporal Data
Ali Hamdi
Computer Vision, Deep Learning, Text Mining
Arian Prabowo
Spatio-temporal Data, Neural Network, Deep Learning of Trajectories
Futoon Abu Shaqra
Deep Learning, Data Science, Sequential Data
Nao Gao
Ubiquitous Computing, Mobile Sensing, Human-computer Interaction
Sichen Zhao
Deep Learning, Data Mining
Yonchanok Khaokaew
Machine Learning, Behavior Modeling & Smart City
Postdocs
Hao Xue
Trajectory Prediction, Spatio-temporal Data Mining, Computer Vision
Mohammad Saiedur Rahaman
IoT, Machine Learning, Spatio-temporal Pattern Mining, Context Recognition in Pervasive Environments
Wei Shao
Deep Learning, Spatio-temporal Data Analysis, Activity Recognition
Faculty Members
Alumni
Hui Song
Research Fellow, School of Engineering, RMIT
Evolutionary Computation, Machine Learning, Data Mining
Irvan Bastian Arief
Associate Vice President of Data Science, Tiket.com, Indonesia
Artificial Intelligence, Big Data, Data Science, Machine Learning, Data Analytics
Jonathan Liono
Senior Data Scientist, AiDA Technologies, Singapore
Artificial Intelligence, Mobile Sensing
Manpreet Kaur
Lead Technical Engineer, Tableau Software, USA
Software Engineering, Graph, Recommender system
Shakila Khan Rumi
Research Fellow, School of Computer Science and Engineering, UNSW, Australia
Data Mining, Mobility Analysis