The group’s primary focus is the application of computing through research and industrial projects. The ACRG looks to achieve this with two main strands: to further the school’s research and teaching expertise in Software Engineering, and the application of software and hardware solutions to a variety of domains from commercial and industrial solutions to experimental evaluation.
Applied Computing is the practice of embedding the realisation of Computer Science’s latest technological advancements into industrial, business, and scientific intelligent solutions. Applied Computing stretches to a variety of computing fields, requiring an extensive knowledge of the specialised subject area and in many cases large teams of trained individuals to put into production. Artificial Intelligence (AI) is considered as one of the major fields of Applied Computing. Artificial Intelligence has been introduced as an important tool in the implementation of Health and Medicines centred solutions as real world applications.
The potential for computing techniques, methods, and tools to support clinicians and healthcare professionals with assistance, expert advice, and critical decision-making was predicted more than four decades ago. Despite decades of research in this field, computer applications, intelligent computer applications and computer decision support systems receive limited use in healthcare systems. The various reasons include: usability, lack of technology and tools, and problems in integrating such tools with the demanding work that healthcare institutions provide.
The Applied Computing Research Group’s main research themes include:
– Software Engineering
- Distributed Software Systems Engineering (including, Cloud Engineering)
- Application of Graph Theory to large-scale data sets
- Teaching challenges, including real-world projects as a teaching aid
– Embedded and Low-Power Systems
- Software Development challenges in alternate architectures and heavily resource-constrained systems
- “Green” Computing
- Applications in education
- Application in health monitoring and analysis (E-Health)
- Sense augmentation and enhancement
The authors of the book chapters are international researchers based in the UK and abroad from both academia and practitioners from medical institutions. The book can be used as teaching materials for undergraduate and postgraduate degree students, for students studying for a Computer Science Degree, Software Engineering and Health Informatics related subjects. Additionally, researchers can use the book as reference for their research and development in the field of AI and Health.