Questions that advance
computing and society.
The School conducts research across foundational and emerging areas of computing through faculty-led groups, doctoral scholarship, funded projects, publications and academic–industry collaboration.
Research aligned with
academic and industry needs.
Alongside continually updated undergraduate and postgraduate education, the School engages in research across frontier areas through organised faculty-led groups.
The research environment spans algorithms, artificial intelligence, data science, cloud and distributed computing, human–computer interaction, security, image processing, software engineering, mobile systems and connected technologies.
Five focused communities
of research practice.
The current School structure organises faculty interests into five groups covering secure systems, intelligent computing, data science, distributed computing and software design.
Connected systems designed with security at their core.
Networking, cybersecurity, blockchain, Internet of Things and related areas.
Computational intelligence for prediction, reasoning and automation.
Artificial intelligence, machine learning and related intelligent-computing topics.
Data, language and vision understood through computational methods.
Data science, big data, natural-language processing, cognitive science and computer vision.
Scalable computing across cloud, edge and emerging architectures.
Cloud computing, fog computing, edge computing, quantum computing and related systems.
Reliable software systems shaped through design and engineering.
Software engineering, web design and related software-system topics.
View the dedicated page for the current research-group structure and approved leadership information.
Open Research Groups
From an idea
to a contribution.
The groups support a continuous research cycle involving investigation, scholarly communication, funding, interaction and collaboration.
Identify meaningful questions
Research begins with problems aligned to disciplinary development, societal needs and industry contexts.
Develop projects and proposals
Faculty members and scholars formulate projects and prepare proposals for relevant funding agencies.
Publish and communicate findings
Research outcomes are shared through journals, conferences, books, chapters and technical forums.
Collaborate and exchange knowledge
Experts, institutions and industries contribute through collaborations, workshops and faculty-development activity.
Outputs, people
and partnerships.
Detailed records remain on dedicated pages so publications, project information and scholar lists can be maintained independently.
Publications
Browse published conference papers, journal articles, books and other scholarly output.
02Research Projects
Explore funded research and selected student projects published by the School.
03Research Scholars
View doctoral scholars, research areas and supervisory information by admission batch.
04Collaborations
Discover institutional and professional relationships supporting research and knowledge exchange.
05Research Statistics
Access the School’s separately maintained research and development statistics.
06Conferences & Events
Follow conferences, workshops, symposiums, invited talks and academic events.
Learning through inquiry,
exchange and creation.
The School encourages research exposure through conferences, symposiums, project contests, project exhibitions and professional student chapters.
Academic conferences
International conferences and scholarly forums connect the School with wider research communities.
Student research symposiums
Students gain opportunities to present, discuss and refine their research and project work.
Industry symposiums
Industry interaction helps researchers understand contemporary applications and professional needs.
Project contests and expos
Innovation contests and project exhibitions encourage implementation, demonstration and peer learning.
Professional chapters
Student chapters and professional communities create additional spaces for technical exchange.