Virtual reality

Department of Computer Science and Technology

About the department

Our links with industry giants like Microsoft, Sony and Electronic Arts ensure that our courses stay industry standard, relevant and up to date with the latest tech and teaching.

Computer Science degrees at Hull include all the essentials like software engineering and development, computer games and graphics programming. And are taught by researchers who are rated among the best in the UK.

Our specialist facilities include high performance computing, 3D visualisation, 3D printing and robotics labs.

Head of department

Peter Robinson

Dr Peter Robinson

Accreditations

Research in the Department of Computer Science and Technology

Our computer science research was ranked joint fifth in the UK for impact in the last national assessment, with 80% of submitted research impact hitting the four-star 'world leading' benchmark.

Specialist areas include computational science; computer gamification; dependable intelligent systems; robotics and artificial intelligence; and simulation and visualization.

Research strengths

Virtual Augmented Reality and Simulation

We focus on the application of augmented, virtual and mixed reality, simulation and visualization environments to solve end-user problems. We also develop the new tools, techniques and theories needed for their construction.

Our particular strengths in underpinning technologies stem from work on novel systems and algorithms for modelling, simulation and rendering – and expertise in building, validating and integrating innovative display modalities.

Our community

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So much more than just a degree

University isn’t just about your lectures – there are loads of activities to get stuck into, from robot-building to race-against-the-clock Hackathons.

See what our Computer Science and Technology students get up to

Expert advice from experienced alumni

From getting your foot in the door, to rising through the ranks, graduate Francisco Inacio - Lead Programmer on Squad - on how to succeed in the gaming industry.

Read Francisco's story

Real world experience

Get practical experience on year-long industrial placements at places like Microsoft and IBM to graduate career-ready.

See what you could do on an industrial placement

Try for yourself

Watch: Join Professor John Murray and students Joules and Martin for an on-demand Computer Science session to find out more about studying at Hull.

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Our people

The department is a vibrant community of extremely talented staff and students, who collaborate to craft some incredibly creative work.

staff members in the Department of Computer Science and Technology, arranged alphabetically by last name

PhD students

PhD students in the Department of Computer Science and Technology
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    Koorosh Aslansefat

    Dream: Data-Driven Reliability-Centered Evolutionary and Automated Maintenance for Offshore Wind Farms

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    Steven Balding

    Robotic Colonies with Distributed Reasoning and Ambient Mapping

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    Joyjit Chatterjee

    Transparent and Intelligent Decision Support for O&M Fo Wind Turbines

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    Trung Dang

    Deep Learning and Sentiment Analysis for High Frequency Stock Prediction

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    Albert Dulian

    Collision Response with Deep Reinforcement Learning

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    Ashley Fairburn

    Smart Management and Scheduling for Offshore Wind Operations and Maintenance

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    Daniel Fleming

    Reducing Environmental Complexities of Domain-Specific Languages

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    Simon Grey

    Gamification in Learning and Teaching

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    Matthew Hartley

    Applying Machine Learning for Bird Migration Forecasting Using Radar Scans

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    Hayley Hatton

    Modelling and Optimisation of 3D Printing

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    Syed Kazmi

    A Dynamic Approach to Risk Stratification of Patients with Heart Failure to Improve Risk Prediction

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    George Lacey

    Using Artificial Epigenetic Models to Develop Modularity and Transparency within Biologically Inspired Connectionist Architectures

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    Athanasios Retouniotis

    Model-Connected Safety Cases

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    Annika Schoene

    Investigating Recurrent Neural Networks and Knowledge Graphs for Fine-Grained Emotion Detection in Textual Social Media Data

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    Luis Torrao

    Gamification of the Arts

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    Warren Viant

    Simulation of Smoke and Fire

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    Nkesi Wechie

    Applying Deep Learning to Educational Data Mining

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    Declan Whiting

    Safety and Security for Autonomous and Connected Systems

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    Onatkut Dagtekin

    Machine Learning for Modelling Water Safety

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    Robert Adams

    Self-Configurable Robotic Control and Navigation

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    Francis Kambili-Mzembe

    Applying Virtual Reality to Supplement the Secondary School Curriculum in Malawi

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    Anjum Muneeb

    Parasitic Energy Harvesting and Robotic Metabolism for Long-Term Autonomy

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    Yangyimin Xue

    AI for Improving Information Workflows in Circular Plastic Economy

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    Chang Yingxiu

    Autonomous Navigation and Obstacle Avoidance for Drones Using Embedded Devices

    James Gordon Computer Science

    Computer Science Facilities

    When you join us, you get access to the latest industry-standard facilities. High performance cloud computing systems, 3D projection, VR devices, laser scanning, motion capture, humanoid robots … It’s all here. And it’s all for you.