Computing in Kent

  From concept to prototype: Designing an assistive device for multicompartmental knee osteoarthritis Conference paper Afzal, S. I., Manna, S. and Azhar, H. 2025.  From concept to prototype: Designing an assistive device for multicompartmental knee osteoarthritis . https://repository.canterbury.ac.uk/item/9w373/from-concept-to-prototype-designing-an-assistive-device-for-multicompartmental-knee-osteoarthritis  Knee osteoarthritis (KOA) is a progressive condition that increasingly affects multiple compartments of the knee, yet most existing orthotic devices are designed for unicompartmental disease and provide only partial relief. Current options such as unloader braces , knee sleeves , and patellofemoral braces are limited by rigid, single degree-of-freedom structures , inconsistent levels of assistance, and restricted flexion–extension , which can negatively impact comfort, gait, and long-term adherence. Clinical studies also report variable outcomes in pain reduction,...

  GenAI in the hands of experts: A qualitative study of academics' experiences and future recommendations Conference paper Malik, M., Nortcliffe, A., Turner, S., Abdel-Maguid, M. and Shah, Rehan 2024.  GenAI in the hands of experts: A qualitative study of academics' experiences and future recommendations . Creating robust multiple-choice questions can be perceived as a challenging task by academic staff. The design process can also be time consuming and rely on the knowledge and experience of staff. Many engineering educators make use of these questions for formative and summative assessments . These questions can be a great way to provide formative feedback to students and diagnose what teaching interventions may be needed for different students based on their performance on the questions. This work-in-progress paper describes some initial results from a study whereby augmenting the skills educators bring with Generative Artificial Intelligence (GenAI) tools such as ChatGPT...

Prior, Oliver J., Hannan Bin Azhar , M. A., Sahota, Vijay and Turner, Scott 2024. Unveiling pollution peaks: Comparing swarm intelligence with Drone Hill Climber . in: 2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY) IEEE. pp. 399-404 https://doi.org/10.1109/sisy62279.2024.10737602 Climate change has become an accelerating problem in recent years due to pollutants like greenhouse gases , with carbon dioxide being the most prominent. Similarly in time, works on the application and development of swarm intelligence using drones , along with the use of drones to monitor air pollution / source discovery, have been carried out in isolation to date. This paper presents an investigation to discover multiple pollution sources using a variety of existing swarm intelligence algorithms, through simulated drones. This paper also presents a bespoke Drone Hill Climber (DHC) algorithm that introduces the novel of multiple drones each flying on their o...