Research Collaboration
The Department of Computing Science collaborates with various industry partners to advance teaching, research and innovation.
PhD projects co-funded by industry partners can be tailored to address specific challenges faced by industry, ensuring that the research has a direct impact on improving business outcomes. In reurn, our industry partners benefit from access to cutting edge tools and technologies. Other forms of research collaboration can include consultancy, partnering on research proposals, and funding internships or research students.
Our expertise is centred around Artificial Intelligence and Cybersecurity, and includes:
- Data Science
- Machine Learning
- Computer Vision
- Robotics
- Natural Language Processing
- System Optimisation
- Decision Support Systems
- Autonomous Agents
- Blockchain
- Secure Software-defined Networking
- Secure edge/fog computing
- User-centric security
- Identity Management
- Web Security
- Privacy-enhanced Technologies
- Security in 5G & Beyond Networks
The nature of collaborations can be in terms of defining shared projects (large and small), internships and research studentships; knowledge transfer; and consulting.
Examples of recent successful research collaborations include department members working with Arria NLG and a PhD research project with Siemens Energy Industrial Turbomachinery Ltd.
If you'd like further information on ways of working with us, please contact Kamaran Fathulla (e: kamaran.fathulla@abdn.ac.uk )
Industrial Placement
Students can spend either a year on industrial placement, or during the summer between their third and fourth years during their studies of Computing Science. It is an excellent opportunity for students to gain first-hand professional experience of working in industry. All of our degrees can include a year's placement in industry, local government, etc. undertaken in either the fourth or fifth year. Successful completion leads to the award of an MSci. A year of industrial placement can be taken either between the third and forth year of studies or after the fourth year. Students who successfully complete a CS50IP-style placement, and otherwise fulfil the requirements for an honours degree, will be awarded an MSci degree "with industrial placement" (not to be confused with an MSc) to acknowledge the fact that these degrees take five years. Find out more .
Aberdeen Software Factory
The Aberdeen Software Factory is a student-run software house started in 2009 so that students can gain experience working on larger software projects. Students benefit from work experience, while clients will benefit from a flexible, cost-effective solution in which their application is developed to suit their needs. We continue to bring our agile, lean, and service design approaches to projects. We provide incremental delivery of the most important parts of the client projects in timely two-week iterations. We are flexible and work with changing priorities as determined by clients. Learn more about Aberdeen Software Factory here .
If you are interested in learning more about the Aberdeen Software Factory, or becoming a client, please contact Milan Markovic (e: milan.markovic@abdn.ac.uk ).
About the Department
The Department's strategic focus lies across the themes of Artificial Intelligence and Cybersecurity, and our researchers work at the intersection of theory and application within these areas. Data Science & Artificial Intelligence have been recognised as a priority for the University as part of its Aberdeen 2040 strategy .
Our research is organised into five main research themes : autonomous agents and multi-agent systems, natural language generation and computational linguistics, machine learning, cybersecurity and privacy, and human-centred computing. Application domains include security, digital economy, robotics, energy, food technology and healthcare.
Research is underpinned by a strong and broad funding portfolio around Artificial Intelligence and Cybersecurity, with nearly £4m in funding secured over the past five years. Around 90% of the department's research is recognised as world-leading or internationally excellent (3* or 4*, REF2021). Much of the research is interdisciplinary in nature, covering areas such as renewable energy, decommissioning, and healthcare.
Our students come from our undergraduate Computing Science programme, our postgraduate programmes in Artificial Intelligence, Information Technology, and Cybersecurity, or are PhD students working with members of staff in our department. Our courses, such as the one-year MSc programmes, can be taken by students aiming to learn content for the first time, or experienced industry professionals seeking to update their skillset to reflect the fast-changing landscape of technology and AI.