Trustworthy Autonomous Systems
Identifying conflict and confluence in stakeholder imaginaries of autonomous care systems.
Theme Leads
Before joining the Information School, Dr Cameron trained and worked as a researcher in the Deparmtent of Psychology at the University of Sheffield. Dr Cameron completed his undergraduate and masters degrees in Psychology and Cognitive Neuroscience at the Department of Psychology and continued to complete his PhD, creating a computational model of emotions and their spread across networks. Dr Cameron worked for five years at the Department of Psychology, on a variety of research projects in social, health, and developmental psychology and started working with Sheffield Robotics in 2014 researching Human-Robot Interaction and developed an interest in people's emotional experiences in their interactions with technology. Dr Cameron joined the Information School as a Lecturer in 2018.
Prof. Lyudmila Mihaylova and her team are working to develop novel methods for autonomous intelligent systems: for sensing, tracking and decision making, machine learning and their engineering applications. Prof. Mihaylova undertook pioneering work on traffic flow estimation with particle filtering for intelligent transportation systems which was followed later with developments for large scale systems, including large scale transportation and video processing systems. She has experience with a range of image modalities, including optical, thermal, LIDAR, SAR and hyperspectral image processing. Her interests are in the area of nonlinear filtering, sequential Monte Carlo Methods, statistical signal processing and sensor data fusion. Her work involves the development of novel techniques, e.g. for high dimensional problems (including vehicular traffic flow estimation and image processing) and localisation and positioning in sensor networks.