Neill is a Royal Society Industry Fellow working in the Department of Computer Science as a Senior Lecturer in Visual Computing and Machine Learning. He is a Co-Investigator at CAMERA and the Visual Computing Group. Neill is interested in the modelling of shape and the use of machine learning techniques applied in the domain of computer vision (processing images from the real world) and graphics (creating and manipulating new images). Shape is such a fundamental component of graphics and vision that research in this field unifies the two subjects and there is a great advantage to solving problems in both areas simultaneously since they help one-another. Neill’s latest ongoing research aims to learn automatically models of both man-made and natural shapes, and produce intelligent systems that make it easier to process, create and manipulate images.

Eamonn is the Director of the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI).

His research interests are in developing, evaluating and understanding innovative forms of human-technology interaction and technology-mediated human-human interaction. Topics include mixed, augmented and virtual reality, and interaction with intelligent machines and software.

Eamonn’s research has the overarching goal of contributing to an applied science of interactive systems.

This involves deriving design principles for the development of such systems that are theoretically well-founded, empirically tested and operationalised for people’s use. This research covers the spectrum of technological, cognitive and social challenges and opportunities that these systems offer.

Professor of Human and Applied Physiology with specific expertise in the biological basis of rehabilitation medicine, human and applied physiology, occupational and environmental physiology, exercise rehabilitation, special populations (e.g. spinal cord injury, lower limb amputation), chronic disease (e.g. cardiometabolic disease, osteoarthritis).

Director of CAMERA. Research interests are in the convergence of Computer Graphics, Animation, Computer Vision and Psychology. Darren is particularly interested applying these fields to the development of virtual humans, including realistic facial animation and the development of tools and processes to accelerate creative processes in this area.

Although primarily embedded in Visual Computing and AI, Darren is a multi-disciplinary scientist/researcher interested in problems that cut across disciplines – resulting in papers published in diverse disciplines such as animation, vision, emotion perception and sport. He is also interested in democratising technology to enable people to do great work – whether they are researchers or an every day person just wanting to be more productive or have fun. Past applications of research have been in areas such as human motion analysis, recognition and synthesis, but Darren interested in any problem that involves understanding and modeling data. Applications have in the past been across creative industries (e.g. we worked on some great projects with the BBC and Aardman – ‘Is Anna OK?’ and ’11:11 Memories Retold’), healthcare (e.g. AI to manage disease) and sport (e.g. markerless biomechanical analysis).

Yongliang’s research interests are in shape understanding, computational design and computer graphics. Most recently, his work has focussed on developing shape analysis and optimization algorithms to understand and explore geometric structures.

Christof’s main research interests are in the field of Human-Computer Interaction (HCI), with a focus on eye-gaze interaction and health. He is researching new ways to enable users to control electronic devices using their eyes. He also investigates applications of HCI in health, such as the use of virtual reality in exercise and rehabilitation.

Polly’s research focuses on how the neuromuscular system powers and controls locomotion in humans and animals, how it changes with age and injury, and ways in which its performance can be enhanced through training and technology.  This research is multidisciplinary in nature and has applications in many spheres of medicine, physiotherapy, veterinary, sports science and engineering.  Specific current projects include: Understanding muscle-tendon interaction and motor control in demanding dynamic tasks to prevent injury; changes in muscle architecture, mechanics and recruitment with age; technologies to assist in the rehabilitation of musculoskeletal injuries; and preventing long term complications of lower limb amputation.

In collaboration with UK Sport and British Skeleton, Steffi’s PhD project was focussed on enhancing start performance in the winter sport of skeleton and was conducted in the lead up to the 2014 Winter Olympic Games in Sochi. Her thesis focussed on understanding the determinants of elite skeleton start performance to inform training and coaching practices, and to ultimately improve chances of medal success. Steffi’s research is now primarily focussed on sprint performance and the associated hamstring strain injury risk factors. Additionally, Steffi is co-supervising a project funded by the European Space Agency to better understand the load experienced when performing movements in low gravity situations.

“What does it mean, to see?” Michael’s  primary interest in psychology, neuroscience, and computer science is cognition. His research has advanced from first examining cognition and attentional control within the visual system to now examine how multisensory processing contributes to perception and cognition. Working with blind individuals in particular helps to reveal the role of visual experience for cognition and how the “visual” parts of the brain process other information in the absence of visual input. Much of this work has used a ‘sensory-substitution’ device (called The vOICe) that provides visual information by translating visual input into sound. Michael therefore studies multiple sensory modalities and utilize multiple methods to best understand the psychological and neural underpinnings of cognition in human and non-human animals. Other current projects include virtual reality (VR), the rubber hand illusion, visual decision-making in zebrafish and bees, perceptual learning, spatial cognition, numerical representation, semantic memory, cognitive evolution, synaesthesia, neurostimulation, crossmodal collaboration, and sensory substitution.

Rebekah works in close collaboration with the Centre Management Team in the running and strategic development of CAMERA. Taking overall responsibility for the operational delivery of the research programme, providing coordination and management of the resource allocation of the Centre.

Özgür Şimşek is a Senior Lecturer in Machine Learning and Deputy Director at the Institute for Mathematical Innovation Bath. Her research is on solving complex problems through autonomous search, learning, and development, spanning a number of different fields, including artificial intelligence, machine learning, network science, and decision heuristics. She is particularly interested in achieving open-ended developmental learning in large, complex environments.

Wenbin’s research interests mainly lie in general autonomous systems and their applications in manufacturing and professional capture, including the research topics in multi-sensory based localization and mapping, dynamic motion capture, as well as uncontrolled scene understanding and fabrication. Those exiting topics could be broadly relevant to fields of Robotics, Computer Vision, Graphics and Machine Learning. For more details, see Wenbin’s website and Perceptual Intelligence Laboratory website.

Vinay is interested in research in Computer Vision and Machine Learning, specifically visual recognition with ccarce supervision; multi-modal deep learning; explainable AI; adversarial and probabilistic deep learning. For more details, see Vinay’s website.

Tom applies machine learning to a wide selection of problems, particularly those involving computer visions and graphics. He has strong interests in graphical models, Bayesian non-parametric models, directional statistics and active learning. Tom is currently especially interested in projects involving tools to help artists, machine learning for education, online/realtime machine learning, causality, and scaling non-parametric methods to big data.

Peter is the Director of the EPSRC Centre for Digital Entertainment. He is interested in automatically processing real photographs and video into art or into 3D animated models. Peter has worked on automatically locating and identifying objects, whether photographed, drawn, painted etc and reconstructing complex dynamic phenomena from video. He is developing a current interest in accessible computing.

Dario is interested in the modelling and simulation of human movement to investigate injury mechanisms and understand human function. Dario’s research is focused on the use of an integrated approach that includes in vivo and in vitro experimental methodologies with in silico methods such as musculoskeeltal modelling and finite element analysis. Current research: the analysis of cervical spine injury mechanisms in rugby and horse racing; anaylsis of hamstring injury in sprint running; biomechanical assessment and optimised treatment identification in axial spondyloarthritis; estimation of joint loading in partial gravity situations; biomechanical analysis of rugby and horse racing activities; and computer simulation of sprint running.

Elena’s research interests include lower limb amputees, pathological locomotion, sport injury prevention, musculoskeletal simulation, and motion analysis and my research approach includes both experimental sessions and musculoskeletal modelling of the human motion, in order to establish risk factors, prevent injuries/illness and improve performance

Danaë Stanton Fraser is a Professor in Human Computer Interaction and leads the CREATE Lab. Danaë’s research focuses on the design and evaluation of mobile and ubiquitous technologies for interactivity and learning. Her research interests are in tangible and ubiquitous interfaces for education and transfer of spatial skills from virtual to real spaces in research areas such as technology-enhanced learning, human-computer interaction, ubiquitous computing and spatial cognition. Danaë’s work is underpinned by a process of co-design with end users and industrial partners in the development and evaluation of technologies.