ProfessorXiao Liu
Professor
Faculty of Science Engineering and Built Environment/School of Information Technology
Orcid identifier0000-0001-8400-5754 (opens in a new tab)
- ProfessorFaculty of Science Engineering and Built Environment/School of Information Technology
- +61 3 924 45428 (Work)
- Melbourne Burwood Campus, 221 Burwood Highway, Burwood, Victoria 3125
TEACHING EXPERTISE
* Programming
* Cloud Computing
* Software Engineering
* Critical Thinking
* Cloud Computing
* Software Engineering
* Critical Thinking
TEACHING ACTIVITIES
- UNIT TAUGHTSIT102 Introduction to Programming
- UNIT TAUGHTSIT172 Programming for Engineers
- UNIT TAUGHTSIT221 Data Structures and Algorithms
- UNIT TAUGHTSIT222 Operating System Concepts
- UNIT TAUGHTSIT321 Software Engineering
- UNIT TAUGHTSIT105 Thinking Technology and Design
- UNIT TAUGHTIntroduction to Cloud Computing and Big Data
- UNIT TAUGHTDistributed Computing: Cloud Computing with Window Azure Platform
- UNIT TAUGHTWeb Programming
- UNIT TAUGHTSoftware Engineering Project
- CURRENT DOCTORAL SUPERVISIONTowards Emotion-Aware Requirements Engineering: From Empirical Understanding to Assistant Tools
- CURRENT DOCTORAL SUPERVISIONUnderstanding and Addressing Accessibility Requirements in Virtual Reality
- CURRENT DOCTORAL SUPERVISIONAsynchronous Federated Learning For Secure and Private Depression Detection
- CURRENT DOCTORAL SUPERVISIONRecommending Open Source Software Projects Based on Workers' Motivation and Team Dynamics
- CURRENT DOCTORAL SUPERVISIONOn the Safety Evaluation of Pre-trained Language Models for Misinformation
- CURRENT DOCTORAL SUPERVISIONAdaptive Human-AI Collaboration for Emergency Response
- CURRENT DOCTORAL SUPERVISIONA Digital Twin Platform for MEC-enabled IoT Systems
- COMPLETED DOCTORAL SUPERVISIONAddressing Data Heterogeneity in Federated Learning for Edge Intelligence Applications
- COMPLETED DOCTORAL SUPERVISIONSelf-Supervised Point Cloud Classification and Segmentation
- COMPLETED DOCTORAL SUPERVISIONBlockchain and Artificial Intelligence Integrations for Edge-based Unmanned Aerial Vehicle Delivery
- COMPLETED DOCTORAL SUPERVISIONTowards Robust and Effective Point Cloud Normal Estimation and Denoising via Patch-based Deep Learning