Members of the Robotics Engineering And Computing for Healthcare (REACH)

Group Director

Academic members and researchers

Affiliate members

Visiting staff

Current PhD students

Matthew Holt

Thesis title: Advanced lower-limb prosthetics.

Director of Studies: Dr Appolinaire Etoundi.

Additional supervision: Dr Aghil Jafari.

Isaac Jordan

Thesis title: EEG brain-computer interfaces for the application of assistive robotics.

Director of Studies: Dr Dan Withey.

Additional supervisors:


Patrik Kamenicek

Thesis title: Automated physiotherapy: Advancing 3D vision and deep learning for body movement assessment.

Director of Studies:  Professor Lyndon Smith.

Additional supervisors: 

Patrik is a full-time Graduate Tutor at UWE Bristol. Apart from being employed as a Graduate Tutor, he is a dedicated part-time PhD student who is undertaking innovative research to automate and enhance physiotherapy practices. With a robust academic background in computer vision, machine learning, and robotics, acquired from the Master's degree from the University of Central Lancashire, Patrik's five-year project focuses on leveraging cutting-edge technologies like Azure Kinect's RGB-D 3D camera and Convolutional Neural Networks (CNN).

This ambitious research, titled Automated physiotherapy: Advancing 3D vision and deep learning for body movement assessment, addresses critical challenges in physiotherapy, data analysis, camera technology, and machine vision, tackling subjective assessments, patient engagement, and privacy concerns associated with virtual physiotherapy. Patrik's methodology combines 3D and 2D cameras, kinematic models, and CNNs and body tracking algorithms for precise assessment of human body movements during exercises.

Aligned with broader societal challenges, Patrik's research contributes to advancements in artificial intelligence, addresses the needs of an ageing society, and promotes clean growth through reduced carbon emissions. The ultimate goal is to provide valuable insights, improve virtual physiotherapy efficiency, and promote inclusivity and accessibility in healthcare services.

Bethany Mackey

Thesis title: Immersive control of a humanoid robot surrogate for users in palliative care.

Director of Studies: Dr Paul Bremner

Additional supervisor: Professor Manuel Giuliani


Luigi A Moretti

Thesis title: Integrating affective computing and smart sensing into treatment pathways for anxiety disorders.

Director of Studies: Dr David Western.

Additional supervisors: 

Luigi A. Moretti (he/him) is a medical doctor (MD) by training with a multidisciplinary bent. His career has been built on the ability to combine the skills and perspectives of medicine and technology. With hands-on involvement in the development of innovative digital products within startups and collaborations with various universities, he holds an MSc in Health Technology. Currently sponsored by UWE Bristol, Luigi is dedicated to co-designing an affective computing-based solution for mental health, specifically targeting anxiety disorders. His objective is to gather objective, interpretable and longitudinal data to support patient awareness and engagement, and to provide clinicians with an additional source of information to complement standard approaches such as self-report surveys.

Additional links:

Oluwaseun Oguntoyinbo

Thesis title: Robotics in UK healthcare establishments: A socio-economic intervention towards organisational development.

Director of Studies:  Dr Rana Al Barazi.

Additional supervisors:

Emanuel Nunez Sardinha, Graduate Tutor

Thesis title: Accessible interfaces for tetraplegia: Eye-gaze control of multi-DOF systems.

Director of Studies: Dr Macela Munera.

Additional supervisors: 

Emanuel Nunez Sardinha is a candidate for PhD in Robotics at Bristol Robotics Laboratory (BRL). He is a roboticist with an ample international background, working with new assistive devices to enhance the independence of people with tetraplegia. He is a multidisciplinary researcher focused on robots to help vulnerable people, currently developing tools for people with paralysis to regain independence and improve their quality of life. Emanuel concentrates on eye-controlled technology, working directly with users, and body instrumentation.

Some of Emanuel's previous projects/work involved designing soft prosthetics, microscope accessories and lots of social work. Previous collaborations include online data classification with the Assisted Living Studio at the BRL, design tasks with BIOMAP-3D at Universidad Carlos III in Madrid in an ERC-funded project, and with the Georgia Institute of Technology in the bio-medicine department at the Butera Lab.

Emanuel is currently a lecturer at UWE Bristol, teaching electronics, human-robot interaction, and assistive robotics. If you are interested in working on robotics projects with social impact, please contact Emanuel.


Kaya Sinclair

Thesis title: Intelligent sensing and feedback for a semi-autonomous shared-control early-years powered mobility device for disabled children.

Director of Studies: Professor Praminda Caleb-Solly

Additional supervisor: Dr Steve Battle

Jane Turk

Thesis title: Cognitive impairment in multiple sclerosis.

Director of Studies: Dr Kris Kinsey

Additional supervisors:

Yixuan Zhu

Thesis title: Enabling artificial intelligence for clinical neurophysiology.

Director of Studies: Dr David Western.

Additional supervisor:

Yixuan Zhu is currently engaged in a project titled "Enabling artificial intelligence for clinical neurophysiology". His work primarily involves utilising machine learning techniques, especially deep learning, to analyse EEG data. This analysis aids in the diagnosis and examination of Multiple Sclerosis and its associated cognitive impairments. With a background in mathematics from his undergraduate studies, Yixuan is now focused on machine learning. He is passionate about the theoretical and technical aspects of machine learning, as well as its applications and implementations across various fields. Yixuan has a keen interest in analying diverse forms of data, including speech, images, videos, and medical imagery, and is proficient in various machine learning techniques, such as supervised, unsupervised, and self-supervised learning.

Completed PhD students

Joseph Bolarinwa

Thesis title: Investigating optimal sensory feedback modalities for effective tele-operation of a robot to provide remote assistance for assisted living tasks.

Director of Studies: Professor Praminda Caleb-Solly

Additional supervisors: Professor Sanja Dogramadzi; Dr Tom Mitchell

Antonella Camilleri

Thesis title: Risk assessment and situational awareness for safe HRI in assistive robots

Director of Studies: Professor Praminda Caleb-Solly

Additional supervisors: Professor Jun Hong; Professor Sanja Dogramadzi

Prankit Gupta

Thesis title: Intelligent data processing to support self-management and responsive car

Director of Studies: Professor Praminda Caleb-Solly

Additional supervisors: Professor Richard McClatchey; Professor Ala Azczepura (Coventry University)

Linda Sumpter

Thesis title: Technology enhanced workforce efficiency in community rehabilitation and reablement services: Skill mix, service delivery, user acceptance and cost-effectiveness.

Director of Studies: Professor Jane Powell

Additional supervisors: Professor Praminda Caleb-Solly; Dr Ailie Turton

Anouk van Maris

Thesis title: Ethical implications of embedding emotional behaviour in socially interactive robots for older adult.

Director of Studies: Professor Praminda Caleb-Solly

Additional supervisors: Dr Nancy Zook; Dr Matthew Studley; Professor Sanja Dogramadzi

Katie Winkle

Thesis title: Learning how to help: Social robots in therapy.

Director of Studies: Dr Paul Bremner

Additional supervisor: Professor Praminda Caleb-Solly; Dr Ailie Turton

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