Our research

Our research spans a diverse array of fields, including data science, artificial intelligence, cybersecurity and software engineering. We strive to push the boundaries of technology and innovation, fostering a collaborative environment where experts, industry and students work together to solve real-world problems.

Computer science and software engineering

Focuses on the design, development and optimisation of software and computational systems. Research includes programming languages, software architecture, testing and large-scale system design to support innovation across industries and enable reliable, scalable digital solutions.

Artificial intelligence, machine learning and robotics

Covers the creation of intelligent systems capable of learning, reasoning and autonomous action. Key areas include machine learning, computer vision, natural language processing and robotics, supporting breakthroughs in automation, healthcare and human-computer collaboration.

Information systems and digital business

Explores the role of digital technologies in transforming business processes and strategy. Topics include enterprise information systems, digital platforms, IT-business alignment and data-driven decision-making, with a focus on enhancing competitiveness and operational performance.

Cybersecurity, privacy and information assurance

Addresses the protection of digital infrastructure, data confidentiality and risk mitigation. Research spans cryptography, network security, threat detection, digital forensics and regulatory compliance to ensure trust, resilience and ethical data practices.

Networks, communications and IoT

Investigates the infrastructure and protocols that enable data transmission across networks and connected devices. Areas of interest include wireless communication, edge computing, mobile systems and the Internet of Things (IoT), supporting smart cities and real-time systems.

Data science and analytics

Focuses on extracting insights from structured and unstructured data through methods such as statistical modelling, machine learning and visualisation. Emphasis is placed on solving complex problems in health, finance, environment and beyond using data-driven approaches.

Human-computer interaction and educational technology

Examines how people engage with digital systems and how technology can enhance learning and usability. Includes research on user interface design, interaction techniques, accessibility, and the development of innovative educational tools and digital learning environments.

Governance, management and digital transformation

Analyses how organisations adapt to and lead in the digital era. Topics include IT governance, strategic technology management, organisational change and innovation ecosystems, aiming to support sustainable digital transformation across sectors.

Interdisciplinary and emerging fields

Encourages the integration of computing with diverse disciplines such as biology, health sciences, arts and social sciences. Focus is placed on novel research directions and hybrid methodologies that address complex societal and technological challenges.

Funds for projects

Minh Nguyen

Our research groups