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

Nov Nov 2021

Multi-resolution Situation Recognition for Urban-Aware Smart Assistant

This research aims to develop a framework to recognise and anticipate unforeseen emerging situations, such as schedule changes, incidents, and disruptions. The project will address a significant knowledge gap by capturing and modelling unpredictability in human mobility and work routines. The outcome will be a situation recognition framework that can be applied at the individual, social group, and urban level, and at multiple locations and time scales. This should provide users with timely notifications and recommendations to resume their activities and routines. The expected benefits will be far-ranging and adaptable to many domains, from personal smart assistants to trip planning and emergency services. - ARC Discovery Project DP190101485

Show More
Nov Nov 2021

Fair, Debiased, and Explainable AI in Automated Decision Making Systems

CIDDA’s ADM+S Projects, funded by ARC Centre of Excellence in Automated Decision Making and Society

Show More
Nov Nov 2021

Automated Decision-Making and Society

RMIT is host of the Centre of Excellence for Automated Decision-Making and Society. 

Show More
Nov Nov 2021

Human activity and/or behaviour recognition

Behaviour Recognition: more complex

Show More
Nov Nov 2021

Microsoft-RMIT Cortana Intelligence Institute

Cortana Intelligence Institute (CII) is driving the next-generation of capabilities for Microsoft’s digital assistant, Cortana. Focused on researching work-related tasks and using sensors in mobile phones, the CII team builds a complex multidimensional data set, used to model and predict user’s work-related tasks.

Show More
Nov Nov 2021

INFLEXION: Collating and Mapping Data to enhance the integration of Water and Electricity Networks

Funded by the Centre for New Energy Technology (C4Net), GWMWater, Gippsland Water

Show More
Nov Nov 2021

City and precinct level energy use prediction using building data and other data sources

Funded by the Centre for New Energy Technology (C4Net) and CSIRO

Show More
Nov Nov 2021

Thermal Comfort Prediction

Using Transfer Learning for ML-based model, transferrable to multiple cities

Show More
Nov Nov 2021

Smart Parking for High Demand Areas

A live (deployed) project in collaboration with Mornington Peninsula Shire (MPS) Reducing traffic congestion & emissions

Show More
Nov Nov 2021

Parking Availability Prediction

Reducing traffic congestion & vehicle air pollution

Show More

Latest News

Nov 07,21 Flora is on research leave from RMIT. Flora is on research leave from RMIT.

Nov 07,21 Flora is the General Co-Chair of IEEE MDM 2020 Flora is the General Co-Chair of IEEE MDM 2020

Nov 07,21 Flora is an Associate Investigator in the new ARC Centre of Excellence in Automated Decision Making and Society. Flora is an Associate Investigator in the new ARC Centre of Excellence in Automated Decision Making and Society.

Nov 07,21 Flora is the TPC Co-Chair of ACM UbiComp 2020. Flora is the TPC Co-Chair of ACM UbiComp 2020.

Show More

PhD Students

Ali Hamdi
PhD Student
Kai Qin
Phd candidate
Shohreh Deldari
PhD student
Arian Prabowo
student
Futoon Abu Shaqra
PhD student
Nan Gao
PhD candidate
Sichen Zhao
PhD candidate
Yonchanok Khaokaew
PhD candidate
Hiruni Kegalle
PhD Student

Postdocs

Hao Xue
researcher
Mohammad Saiedur Rahaman
Research
Hansika Hewamalage
Research Fellow

Faculty Members

Flora Salim
Associate Professor
Yongli Ren
Senior Lecturer

Alumni

Wei Shao
Research Fellow
Amin Sadri
data scientist
Hui Song
Researcher
Irvan Bastian Arief
Associate Vice President of Data Science
Jonathan Liono
Data Scientist
Manpreet Kaur
Lead Technical Engineer
Shakila Khan Rumi
Research Fellow

Team Members

Recent Publications

CoSEM: Contextual and Semantic Embedding for App Usage Prediction

App usage prediction is important for smartphone system optimization to enhance user experience. Existing modeling approaches utilize historical app App usage prediction is important for smartphone system optimization to enhance user experience. Existing modeling approaches utilize historical app

Semantic Embedding CoSEM Contextual Embedding
Show More

GCCN: Global Context Convolutional Network

In this paper, we propose Global Context Convolutional Network (GCCN) for visual recognition. GCCN computes global features representing contextual In this paper, we propose Global Context Convolutional Network (GCCN) for visual recognition. GCCN computes global features representing contextual

Context Convolutional Network GCCN
Show More
All Publications

Videos

Learning urban activities with graph-based modelling
Learning urban activities with graph-based modelling
RMIT University Australia IBM Smarter Planet Faculty Innovation Award Flora Salim
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding
KDD Invited Talks-Learning Transferable Human Behavior Representations From Sensor Data--Flora Salim
sensiLab Forum - Flora Salim
Show More

flora.salim@rmit.edu.au

414-418 Swanston St, Melbourne, VIC 3000, Australia

© 2021 Flora Salim - CRUISE Research Group.