SCARFE - Key Persons
Biography: Ali's PhD will be focused on how the human sensory system integrates information from vision and touch in virtual reality telepresence systems. This is part of the labs ongoing work with the matrix.
Biography: Dan's PhD is focused on the degien of a bi-manual visual-haptic workstation. The system uses custom built haptic robotic devices with a Oculus VR headset. This project is based in William Harwins Lab in the School of Biological Sciences.
Aaran was a PhD student in the lab. His primary supervisor was Dr. Nick Holmes (University of Nottingham). Aarans work is focused on the representation of the body, kinematics and social interaction. He uses behavioural methodologies in conjunction with techniques such as Transcranial Magnetic Stimulation (TMS). Aaran is now a lecturer at the University of Stirling where he leads the Self/Other Lab.
Job Titles:
- Industrial Collaborator and Honorary Lab Member
Mark was a PhD student in the lab. Mark's primary supervisor was Prof. Andrew Glennerster and co-second supervisor Prof. William Harwin. Marks PhD research focused on how sensory information from vision and touch is integrated to localise objects in the world. The research utilised immersive virtual reality and haptic robotics. Mark is now a Postdoctoral Researcher in Psychology at the University of Reading.
Biography: Jake is currently doing a MSc in robotics at Imperial College London. He was previously a research officer employed on the labs RAIN Hub grant examining the perceptual optimisation of visual-haptic telepresence systems. Jake is working with the lab in commisioning and calibrating the Matrix Device in Unreal Engine anf TOIA. Jake gained a First Class Honours in Biomedical Engineering from the University of Reading. You can find Jake on LinkedIn here.
Josh is a MSc student who is doing thieir project in the lab. The project is focused on understanding how binocular visual cues contribute to the internal sensory representation of faces - in particular the nature of "holistic" face processing. This project is in collaboration with Dr Katie Gray.
Biography: Nina's research is supported by the Wilkie Calvert Studentship in partnership with Kabuni Ventures. As the Director of Wellness, Arts & Culture for Kabuni, Nina leads the vision to create immersive content for the future. Nina is investigating the health and wellness implications of emergent technology focusing on non-gaming VR and related wearable technologies. You can fin Nina on LinkedIn here. Nina is co-supervised by Dr. Juliane Honisch.
Job Titles:
- Lead Technologist in Haptics
- Professor
Biography: William is based in the School of Biomedical Engineering. His research is focused on understanding the mathematics and engineering of interacting systems. His general research interests are in haptic interactions, rehabilitation robotics, wearable sensors and dynamic models of animals and cells. Specific interests include haptics in skills training and education, design and stability of exoskeletons, wearable sensors for long term analysis of health, reach and grasps in humans, and mechanodynamics in cells. He is a director of the start-up company Generic Robotics Ltd. that is exploring haptic applications in medicine and dentistry. Much of the labs work is in collaboration with Williams lab and leverages the benefits of combining expertise across Psychology, Engineering and Industry.
Biography: Rea's PhD is focused upon understanding the perceptual optimisation of visual-haptic telepresence systems, particularly the roll of transformed between visual and haptic workspaces using the matrix. Rea's PhD is funded jointly by SeNSS and EUROfusion. The project is co-supervised and involves close collaboration with RACE. You can find Rea on LinkedIn here. Rea gained a first class degree in Psychology from the University of West of England and a MSc in mental health studies from Kings College London.
Biography: Ross' research examined the relative potency of "subliminal priming" to bias a persons free choices (which has been used as evidence for the absence of "free will") and the ability to predict a persons free choice on one trail of an experiment based upon examining their previous responses. The aim was to examine, if we are wanting to predict behaviour which metric should be use, and is this evidence that people do not have free will?