Research subjects in Computer Science

What does this discipline cover?

Pursuing a PhD in Artificial Intelligence, Autonomy and Intelligent Systems at Huddersfield offers students the opportunity to work at the forefront of intelligent technologies that are reshaping society, industry and public services. Research in this area focuses on the development of intelligent machines, autonomous systems and AI methods capable of perception, learning, reasoning, decision-making and interaction with complex real-world environments. These technologies have applications across areas such as healthcare, transport, robotics, resilience, planning, optimisation and decision support.  

PhD researchers benefit from an intellectually ambitious and interdisciplinary environment, working alongside academics with expertise in machine learning, automated planning, knowledge engineering, robotics, data-driven decision-making and applied AI. Projects may involve the development of new algorithms and computational methods, the application of AI to real-world challenges, or the integration of intelligent systems into industrial, healthcare or public-sector contexts.  

The research culture in this area is collaborative, applied and impact-driven. Students are encouraged to publish their work, engage with international research communities, and work with partners beyond the University where appropriate. Huddersfield offers an outstanding environment for doctoral research in Artificial Intelligence, combining internationally recognised expertise, strong industry engagement and a growing portfolio of externally funded research. Working alongside leading researchers and external partners, PhD students contribute to AI innovations that address contemporary challenges that deliver real-world impact. 

What does this discipline cover?

A PhD in Sustainable Computing, High-Performance Analytics and Digital Twins provides the opportunity to explore how advanced computing can support better decision-making, more efficient systems and more sustainable futures. Research in this area includes high-performance analytics, sustainable software engineering, data-intensive computing and digital twinning, where virtual representations of real-world systems are updated using data to support prediction, optimisation and decision-making.  

This discipline is particularly relevant for researchers interested in the intersection of computing, data, simulation, sustainability and applied system design. PhD projects may focus on scalable analytics, computational modelling, software efficiency, intelligent monitoring, predictive systems, or the use of digital twins to represent and improve complex technical, organisational or industrial processes. These approaches have potential applications in areas such as energy, manufacturing, transport, smart infrastructure, healthcare and environmental management.  

The research culture is problem-focused and interdisciplinary, combining computer science with engineering, data science, AI and domain-specific expertise. Students are encouraged to develop both deep technical knowledge and the ability to translate research into practical benefit. With access to advanced computing infrastructure, specialist research facilities, internationally connected research networks and a rapidly growing portfolio of externally funded projects, Huddersfield provides an outstanding environment for doctoral research. 

What does this discipline cover?

Research in Visual, Immersive and Creative Computing at Huddersfield provides opportunities to explore the technologies that shape how people experience, interact with and understand digital content. This area brings together expertise in visualisation, games development, interactive systems, creative technologies, immersive environments, digital audio, psychoacoustics and human-centred computing. It is well suited to applicants interested in the creative, experiential and technical dimensions of computer science.  

PhD students may work on projects involving immersive environments, extended reality, interactive media, digital audio signal processing, spatial audio, game technologies, user experience, visual analytics or creative applications of AI and data. The Department’s facilities include creative studio environments and industry-standard software, supporting both technical experimentation and practice-led research.  

The research environment is collaborative, innovative and highly interdisciplinary, enabling students to work across computer science, design, media, audio, psychology, engineering and creative practice. Students are encouraged to develop original research that contributes both to academic knowledge and to real-world applications in creative industries, education, wellbeing, entertainment, digital heritage, training and simulation. For applicants seeking to combine technical depth with creativity and human-centred innovation, Huddersfield provides a distinctive and supportive doctoral research environment.  

What does this discipline cover?

A research degree in Information Systems, Data Science and Applied Computing gives students the opportunity to investigate how digital technologies, data and intelligent systems can improve organisations, services and decision-making. Research in this area draws on strengths in information systems engineering, data analytics, machine learning, software systems, digital transformation and applied computing, with relevance to sectors including healthcare, business, public services, education, sport and industry.  

PhD students may explore topics such as data-driven decision support, intelligent information systems, software engineering, organisational digital transformation, applied machine learning, human-centred systems, data visualisation or computational methods for analysing complex real-world problems. The Department’s research is strongly focused on developing methods and technologies with impact on global challenges including health, security, transport and energy.  

The research culture supports both theoretically grounded and practically applied research. Students are encouraged to publish, present at conferences, collaborate with academic and external partners, and develop the advanced analytical, technical and professional skills needed for careers in academia, industrial research, data science, consultancy, digital transformation and advanced computing roles. Huddersfield’s growing doctoral community provides a strong environment in which to develop as an independent researcher. 

What does this discipline cover?

A research degree in Cyber Security and Digital Forensics at Huddersfield enables students to investigate some of the most important digital challenges facing organisations, governments and society. Research in this area addresses practical security problems including cyber resilience, identity and access control, digital investigation, secure systems, threat detection and the protection of digital infrastructure. The work is highly relevant to sectors such as policing, defence, finance, healthcare, critical infrastructure and the wider digital economy.  

PhD students in this discipline benefit from access to specialist computing facilities, including dedicated networking, mobile and forensic computing laboratories, as well as industry-standard software and technical environments that support applied experimentation and investigation. Research projects may combine theoretical security principles with practical system development, forensic analysis, machine learning, human factors, data analytics or policy-aware approaches to cyber risk.  

The research environment is interdisciplinary and outward-facing, encouraging students to work on problems with clear real-world relevance. Students are supported to develop advanced technical expertise alongside professional research skills, including academic writing, conference presentation, collaboration and critical analysis. For applicants seeking careers in academia, cyber security research, digital forensics, law enforcement, consultancy or advanced technical roles, Huddersfield offers a strong platform for developing specialist expertise in a rapidly evolving field.  

Awards and achievements

Computer Science research at Huddersfield has real-world reach, combining high-quality academic work with external funding, industrial collaboration, public-sector engagement and applied impact. The Department’s research addresses major challenges in artificial intelligence, cyber security, digital health, intelligent transport, safe communities and sustainable digital technologies, with a strong emphasis on developing methods and systems that can be used beyond academia.

• In the most recent Research Excellence Framework, 83.3% of Computer Science research impact was judged internationally excellent, demonstrating the Department’s ability to translate research into benefits for society, industry and public services.
• The Department’s research quality has grown significantly, with the proportion of publications appearing in the world’s top 10% growing to 30.8% in 2024, placing Huddersfield alongside leading research-intensive universities including Manchester, Leeds, Sheffield and Lancaster.
• Research income has also increased substantially, rising to more than £1 million annually, reflecting the Department’s growing success in securing competitive external funding and delivering ambitious research programmes.

Researcher recognition and doctoral opportunity 

Professor George Bargiannis, Co-Director of the Institute for Applied Artificial Intelligence and Director of the Centre for Autonomous and Intelligent Systems, has secured more than £2.5 million in external competitive funding as Principal Investigator and Co-Investigator, and his work spans knowledge representation, explainable AI, supply chains, smart homes and service-oriented computing.

The launch of the University’s Institute for Applied Artificial Intelligence strengthens Huddersfield’s position as a cross-disciplinary centre for responsible, explainable and applied AI, bringing together expertise from Computing, Engineering, Health, Business, Sciences, Education and the Arts.

Notable research projects

Artificial Intelligence with industrial and public-sector impact 

Huddersfield researchers are working with Simplifai Systems on AI for urban traffic management, developing technology that uses live information on congestion, traffic lights, bus movements, incidents and air quality to generate real-time traffic strategies. The system has been trialled in Hull and Kirklees, is in commercial use in Blackpool and Glasgow, and has been granted a patent for use in China, following an earlier UK patent. 

The University has formed a strategic partnership with TWI to create an Applied Artificial Intelligence Innovation Centre, established in December 2024 to accelerate innovation and knowledge transfer in applied AI. The Centre focuses on areas including autonomous systems, planning and decision-making, machine learning, cyber security, augmented and virtual reality, high-performance analytics, sustainable software engineering and digital twinning.

In manufacturing, the Department’s Centre for Autonomous and Intelligent Systems is collaborating with Huddersfield-based industrial fan manufacturer Woodcock & Wilson through a 27-month Knowledge Transfer Partnership. The project is developing a multimodal and agentic AI system that combines knowledge graphs with generative and conversational AI to support 24/7 customer service, staff training, knowledge retrieval and business growth into overseas markets. 

AI for healthcare, diagnosis and patient safety 

Computer Science researchers have received national recognition for AI in healthcare, including an NHS AI in Health and Care Award for work with South West Yorkshire Partnership NHS Foundation Trust on AI-assisted diagnosis of ADHD in adults. The project was one of 42 successful applications from more than 530 submissions and was described as the only successful project in that call dealing exclusively with mental health. 

The Department has also worked on AI approaches to mental health decision support, including research exploring the use of AI to predict suicide risk and support clinical decision-making. This work demonstrates the Department’s strength in applying AI to complex, high-impact healthcare challenges.

Researchers are developing cyber security methods to protect AI-enabled diagnostic tools used in healthcare. Supported through Innovate UK’s CyberASAP programme, the project is creating a Secure Threat Intelligence Sharing Platform that uses federated learning and swarm intelligence to protect patient data and safeguard healthcare AI systems from attacks such as data poisoning. 

The healthcare AI security work has clear relevance to hospitals and clinics adopting AI diagnostic tools, including systems such as the AI-powered red dot chest X-ray system used by Calderdale and Huddersfield NHS Foundation Trust to support faster assessment of chest scans. 

AI, cyber security and safer communities 

Huddersfield researchers are leading SaferStreetsAI, a project funded through RISE, an accelerated programme tackling violence against women and girls led by researchers at the University of Manchester and its SPRITE+ network. The project brings together the University of Huddersfield and the University of Manchester to develop AI-informed pedestrian routing based on perceived safety.  

SaferStreetsAI uses computer vision and natural language processing to analyse publicly available street-level imagery, identifying features such as lighting, visibility and signs of neglect so that walking routes can be compared not only by distance or time, but also by a perceived safety score. The work is designed to support both individual route choice and evidence-based planning decisions by local authorities.  

Researchers have also developed a hybrid AI tool to support digital forensic investigations by detecting patterns of psychological abuse, including coercive control, within large volumes of digital messages and chat logs. The Digital Conversation Analysis Pipeline combines rule-based forensic searches with deep learning to identify subtle linguistic patterns and provide a transparent, human-in-the-loop approach to evidence analysis.  

Collaborative culture and community 

Computer Science postgraduate researchers join a vibrant, collaborative and rapidly growing research community that combines fundamental research with real-world impact. Research is organised around internationally active research centres and institutes, bringing together expertise in artificial intelligence, cyber security, digital health, data science, sustainable computing, digital twins, immersive technologies and creative computing. Our researchers work closely with industry, healthcare providers, public-sector organisations and international partners to develop innovative solutions to global challenges in health, security, transport, sustainability and digital transformation.

Students are part of active research communities that encourage:

• interdisciplinary collaboration across Computer Science, Engineering, Health, Business and the Sciences
• industry-engaged and impact-driven research
• publication in leading journals and conferences
• international collaboration and research networking
• professional development, innovation and entrepreneurship.

Researchers benefit from opportunities to work on externally funded projects, Knowledge Transfer Partnerships, Innovate UK programmes, NHS collaborations and industrial research initiatives. Recent projects have included AI-enabled healthcare technologies with NHS partners, intelligent transport systems with industry collaborators, cyber security innovation supported by Innovate UK, and applied AI projects delivered through strategic partnerships with organisations such as TWI.

Computer Science research facilities

Computer Science researchers have access to modern facilities, specialist laboratories and advanced digital infrastructure that support research ranging from theoretical computer science and artificial intelligence to cyber security, immersive technologies and applied industrial innovation.

Facilities include:

• high-performance computing and advanced analytics platforms
• dedicated cyber security, networking and digital forensics laboratories
• Smart House research facilities for intelligent environments, IoT and autonomous systems research
• Artificial Intelligence and machine learning research environments
• digital twinning and simulation technologies
• high-performance data analytics infrastructure
• creative studio environments supporting visual, immersive and interactive computing research
• digital audio, signal processing and psychoacoustic research facilities
• robotics, autonomous systems and intelligent sensing platforms
• industry-standard software, development frameworks and cloud computing technologies
• data visualisation, virtual and augmented reality technologies.

These facilities support research funded by UKRI, Innovate UK, NHS programmes, industrial partners and international collaborators, providing doctoral researchers with access to the technologies and infrastructure needed to undertake world-class research.