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Group members

We currently have members at universities across the country, these members are:

Dr Rosti Readioff

Expertise: Tissue mechanics, Computational bioengineering, Implant design and development in the field of orthopaedic and dental engineering.

Affiliation: Bath University

My research aim is to develop and utilise a combination of cutting-edge experimental and computational methods to provide engineering solutions for advancing orthopaedic and dental treatments.

The engineering methods I am interested in include multi-scale experimental and computational techniques to study structural mechanics and material properties of natural and engineered tissues (biomaterials) and tribological analysis of human joints (e.g., knee joints). I am also interested in developing engineering tools, including assistive technologies for joint function and rehabilitation, and streamlining restorative procedures with computer-aided designs for orthopaedic and dental practices.

weblink: Rosti Readioff — the University of Bath’s research portal

Dr Wahbi El-Bouri

Expertise: In silico clinical trials, digital twins, cerebrovascular and cardiovascular modelling, fluid flow and mass transport, stroke, retina.

Affiliation: University of Liverpool

I joined the University of Liverpool and the Liverpool Centre for Cardiovascular Sciences in November 2020 as a Tenure Track Fellow. My background is in biomedical engineering, and as such I seek to use engineering principles, through in-silico modelling and data analysis, to help understand cardiovascular disease and its progression.

I completed my MEng (Hons) in Engineering at the University of Oxford in 2012 after which I went on to take up several jobs modelling heat pumps, hydroelectric dams, and assessing biofuel feasibility in India. I returned to Oxford shortly after to complete my DPhil in biomedical engineering, where my research focussed on multi-scale modelling of blood flow through the microcirculation in the human brain, with a focus on trying to link the ‘unobservable’ small scale vessels to observable clinical imaging through mathematical models. I completed my DPhil in 2017 and took up a research position at Southampton General Hospital and the University of Southampton where I worked on methods to measure intracranial pressure in patients non-invasively – specifically through measuring and analysing the movement of the eardrum. I returned to the University of Oxford in 2018 to take up a postdoctoral position on an EU funded Horizon 2020 grant entitled INSIST (In-silico clinical trials for the treatment of acute ischaemic stroke). This project aims to develop in-silico clinical trials to test mechanical thrombectomy devices on simulations of blood flow and metabolism in the entire human brain.


I joined the Liverpool Centre for Cardiovascular Sciences to work at the intersection of in-silico modelling, data science, and cardiovascular physiological understanding. The aim of my research is to develop in-silico models, informed by patient data, to develop personalised predictions for patient outcomes, as well as to develop population level in silico clinical trials for various cardiovascular diseases and their treatments. The research will focus on translatability to patient populations to alleviate the burden of poor cardiovascular health. 

weblink: Wahbi El Bouri – Institute of Life Course and Medical Sciences – University of Liverpool

Dr Lisa Alcock

Expertise: Gait, Falls, Ageing, Neurodegeneration, Parkinson’s, Intervention, Environmental modifications.

Affiliation: Newcastle University

Dr Lisa Alcock completed her PhD in Musculoskeletal Biomechanics at the University of Hull in the United Kingdom in 2013. Currently, she is a Senior Research Associate within the Translational and Clinical Research Institute at Newcastle University. She also leads the Gait Laboratory at the Clinical Ageing Research Unit; a translational clinical research facility specialising in clinical trials developing early assessment and intervention strategies targeted at age-associated degenerative conditions. Dr Alcock’s primary research interest involves characterising mobility impairment in ageing and disease to understand the impact on daily function and relevance to clinical events such as falls. She has received funding from Alzheimer’s UK, Ataxia UK, Parkinson’s UK, the ESRC (Economic and Social Research Council), the MRC (Medical Research Council), and the Royal College of Radiologists and has published >50 scientific articles in the field of clinical biomechanics, movement science and neuroscience.

My primary research interest involves characterising mobility (gait and balance) impairment in ageing and disease to understand the impact on daily function and relevance to clinical events such as falls. My research aims to design effective fall prevention strategies through quantifying individual capacity, environmental risk and the interaction between an individual and their environment to promote independent living and create safer homes.

Weblink: Dr Lisa Alcock – NIHR Newcastle Clinical Research Facility

Mr Cameron Kirk

Expertise: Gait, real-world analysis, Parkinson’s, data aggregation.

Affiliation: Newcastle University

I am PhD student and Research Assistant within the Brain and Movement Research team of the translational and clinical research institute at newcastle University.

My research is focused upon measurement the validation of real-world gait measures through use of wearable technology. Specifically my PhD has focused upon validation of real-world walking speed as measures of mobility in Parkinson’s and Older adults. My further interests lie in exploring how our mobility drives our interactions with the wider environment during our day to day lives.

Weblink: https://www.ncl.ac.uk/medical-sciences/people/profile/cameronkirk.html

Dr Chloe Hinchliffe

Expertise: biomedical signal processing, machine learning, deep learning, EEG, accelerometers.

Affiliation: Newcastle University

I received my integrated master’s degree in Medical Engineering MEng at the University of Surrey in 2018. My final year project was supervised by Dr Daniel Abasolo and Dr Mahinda Yogarajah and was titled “Electroencephalogram Analysis with Advanced Signal Processing Techniques for the Characterisation of Seizures”. 

I continued on with Dr Abasolo and Dr Yogarajah at the University of Surrey where completed my PhD in Biomedical Engineering in 2022. The title of my PhD thesis was “Application of Machine Learning to Electroencephalograms and Electrocardiograms for the Differential Diagnosis of Psychogenic Non-epileptic Seizures and Epilepsy”. 

From October 2022, I have been a Research Assistant in the Brain and Movement (BAM) Research Group at the Translational and Clinical Research Institute of Newcastle University.

Weblink: Staff Profile – Faculty of Medical Sciences – Newcastle University (ncl.ac.uk)

Dr Javad Sarvestan

Expertise: Gait Biomechanics, Pattern Recognition, Machine Learning.

Affiliation: Newcastle University

Dr Javad Sarvestan received his Bachelor’s degree in Sports Biomechanics from the University of Mazandaran (Iran) in 2015, where he acquired exceptional abilities using biomechanics lab equipment while studying in-depth theoretical aspects of human movement biomechanics in sports. 

He received a Master’s degree in Sports Biomechanics from the University of Tehran (Iran) in 2018 where he focused on the development of analytical methods in the analysis of change of direction performance among young collegiate athletes. His master thesis was on “Biomechanical Evaluation of Time as a Golden Measure in the Assessment of Change of Direction Speed Performance”.

He obtained a Ph.D. degree in Biomechanics of Human Movement (Kinanthropology) from Palacky University Olomouc (Czech Republic) in August 2022 (“Biomechanical Factors Contributing to the Volleyball Spikes Success Rate among Young Elite Volleyball Players”). Throughout his Ph.D. he implemented several linear and nonlinear analytical methods to study human movement performance, either in clinical or sports applications. 

He is currently working as Research Associate at the Translational and Clinical Research Institute of Newcastle University. 

Weblink: Staff Profile – Faculty of Medical Sciences – Newcastle University (ncl.ac.uk)

Dr Tecla Bonci

Expertise: Biomechanics, gait, signal processing, wearable devices.

Affiliation: University of Sheffield

Tecla Bonci is a biomedical engineer, and, since April 2019, she has been working as a Research Associate in the Mechanical Engineering Department at the University of Sheffield.


During my PhD, I mainly worked in the field of human motion analysis, focusing on compensating the artefact that the motion of the skin and muscles generate when using marker-based systems to estimate joint kinematics. After a three-year teaching experience at the Aston University in the BEng/MEng Biomedical Engineering programmes, she moved to the current research associate position in a world-class research context. Contributing to a large IMI-funded project (Mobilise-D) provided her with the opportunity to contribute to a number of complementary aspects of the project such as: supporting the technical validation study protocol design, establishing methodologies to obtain ground truth data, contributing to the data acquisition and standardisation, establishing a data quality control process, establishing procedures for the automated data cleaning of very large DMO datasets.

Dr Hsien Yung Huang

Expertise: Robotics, assisted locomotion, wearable technologies, biomedical signal processing for control

Affiliation: University of Sussex

Dr Hsien-Yung Huang is a Lecturer at the Department of Engineering and Design, University of Sussex. Before being appointed as a Lecturer, he was a postdoctoral researcher at the Department of Bioengineering, Imperial College London. He received both his BSc. and MSc. degrees in Power Mechanical Engineering from National Tsing Hua University, Taiwan with first-class honour. After a year of compulsory military service, he joined the Human Robotics group at Imperial College to proceed with his PhD training in the fields of Neuromechanics and Robotics with Professor Etienne Burdet. He participated in a European Commission’s Seventh Framework Programme named SYMBITRON (FP7-ICT-2013-10, ID661626) where he developed a powerful robotic interface to conduct hip/knee joint biomechanics identification for lower-limb exoskeleton control.

After receiving his PhD degree in 2019, he joined the Neuromechanics and Rehabilitation Technology group lead by Professor Dario Farina at the Department of Bioengineering. He acted as the key research facilitator within the acquired research project NIMA (H2020-FETOPEN-2018-2019-2020, ID899626) and subproject Neurogait within EUROBENCH (H2020-ICT-2016-2017, ID 779963). Within the NIMA project, his work includes collaborating with the Neurobiology and Neurotechnology team at Freiburg University and the Human Robotics Group at Imperial College London to investigate the control of a supernumerary robot limb with individual motor unit activity. On the other hand, I wrote, secured and acted as leading CoI of the subproject Neurgait (€60,000) under the project EUROBENCH which uses the real-time decoded motor unit activities for exoskeleton control at the testing facilities/scenarios in the Hospital Los Madroños, Spain. He is currently collaborating with Professor Dario Farina on developing a compliant silicone rubber based hand exoskeleton where finger motions are controlled by decoded intrinsic finger muscles activities.

Weblink: Hsien-Yung Huang Profile | University of Sussex

Mr Leigh Ryan

Expertise: Gait, Injury and rehab Biomechanics, Wearable Technology, Signal processing

Affiliation: Newcastle University

I am a Research Assistant in the Brain and Movement Research group with the Translational and Clinical Research Insititute at Newcastle University. My main research interests are in human motion analysis and how neurological disease such as Dementia and lower limb sporting injuries affect movement outcomes.

Dr Silvia Del-Din

Expertise: Digital Health, Gait, Wearables, Parkinson’s, Ageing.

Affiliation: Newcastle University

I am a Newcastle University Academic Track (NUAcT) Fellow. I am part of the Brain and Movement (BAM) Research Group at the Translational and Clinical Research Institute of Newcastle University and I have been contributing to build the digital health theme within the group.

My expertise and translational research interests focus on digital health. In particular, I am interested in the use of wearable technology and in developing analytics for quantification of digital mobility outcomes in ageing and neurodegenerative diseases (e.g. Parkinson’s disease), to enhance remote monitoring and clinical management.

I am PI and Co-I of various clinical trials and digital health projects including Mobilise-D (where I am Academic Lead of Work Package 2 – the Technical Validation Study), IDEA-FAST, D&FP and Exenatide.

Mr Dale Kernot

Expertise: Image analysis, Computational modelling.

Affiliation: Swansea University

I am a PhD student and research assistant in the biomedical engineering department at Swansea university.

My main research interests include multi-physics simulation of microwave ablation therapy, and developing models of the human cardiovascular system.

Weblink: The Team | BESTLabSU

Miss Nishtha Pahuja

Expertise: Molecular bioengineering, Genetics, Immunology.

Affiliation: Imperial College London

I am currently an undergraduate student, doing Molecular Bioengineering at Imperial. My interest areas are cancer research, genetics and immunology, and I’m still exploring and winging it around. I enjoy doing different projects and gaining varied experiences by collaborating with and learning from others.

Dr Aiqin Liu

Expertise: Joint replacement, Regenerative medicine, Experimental simulation, Biomechanics of knee rehabilitation, Rehabilitation assistive technology.

Affiliation: University of Leeds

I am a Lecturer in Human Biomechanics at the School of Biomedical Sciences at the University of Leeds. Before I started my lecturer position, I did over ten years of research in developing pre-clinical experimental simulations to assess the biotribological and biomechanical performance of early-stage knee interventions, such as meniscus repair, ligament replacement and cartilage repair. My current research interests include knee rehabilitation biomechanics, affordable knee rehabilitation assistive technology, wearable sensors, robotic exoskeleton, artificial intelligence, and remote consultation. I have received funding from Engineering and EPSRC and Wellcome Trust to support developing a novel robotic knee assistive device.

Weblink: Dr Aiqin Liu | Faculty of Biological Sciences | University of Leeds

Miss Semhar Misghina

Expertise: Cardiac Digital Twins, Computational Modelling, Cardiac Arrhythmias, Personalised Therapy, In Silico Trials, Machine Learning, Longitudinal Data Analyses, Biatrial Modelling

Affiliation: Queen Mary University London

Semhar Misghina, a PhD researcher at Queen Mary University of London, specialises in personalised computational modelling for cardiac arrhythmias. Her project utilises UK Biobank data to create scalable digital twin models, contributing to the broader vision of applying digital twins in healthcare. Her research aims to integrate biophysical models, imaging, and genetics through machine learning, with a dedication to advancing personalised predictions and optimising therapy selection through in-silico trials.

Weblink: People – Personalised Cardiac Modelling Lab (carolineroney.com)

Miss Pooja Kuar

Expertise: Protein engineering, Cancer Immunotherapy, Extracellular Matrix Targeting, Chemoimmunotherapy, Organometallic Chemistry and Cell Engineering

Affiliation: University College London

I studied Chemistry (MSci) at King’s College London between 2015-2019. During my time in Dr Kogularamanan Suntharalingam’s lab working on the development of organometallic copper complexes that could induce immunogenic cell death in breast cancer stem cells. From there my fascination with immunology and the use of immunotherapy to tackle cancer evolved and I decided to deepen my knowledge by studying Immunology (MS) at Imperial College London (2020-2021). During this time I had the privilege of working in Professor Anastasios Karadimitris lab, where I worked on the preclinical development of chimeric antigen receptor (CAR) T cells and evaluated a CAR against a novel tumour associated antigen for use in multiple myeloma.

Mr Sean Cullen

Expertise: Lower limb prosthetics, biomechanics, 3D scanning, 3D printing

Affiliation: Brunel University

I am a lecturer at Brunel University, interested in lower limb prosthetic technologies. I am an engineer by background and am particularly interested in the design and mechanics of prosthetic sockets. As an amputee myself I am familiar with many of the challenges faced by the community, and am working on practical solutions to common problems. Through my research I have gained experience with 3D printing, motion analysis, and photogrammetry. My ultimate goal is to end disablement from amputation.

Weblink: Mr Sean Cullen | Introduction | Brunel University London

Dr Ellen Buckley

Expertise: Gait, Mobility, Sensors, Wearable devices

Affiliation: University of Sheffield

I am currently a Postdoctoral Research Associate at The University of Sheffield, working across the NIHR Sheffield Biomedical Research Centre’s Neuroscience and the Imaging & Engineering For Health themes and specifically within the Sensors and Wearables subtheme. I completed my PhD in Neuroscience in 2020, exploring gait of people with cerebellar ataxia and hereditary spastic paraparesis. I then moved on to a role as Post-doctoral Research Associate in Sensor-Based Digital Mobility Assessment supporting various gait analysis/mobility monitoring studies. My research interest is in developing and establishing novel diagnostic tools and biomarkers such as measures of gait and real-world mobility for clinical trials and practice.

Weblink: Ellen Buckley | Mechanical Engineering | The University of Sheffield

Dr Saleh Pouresmaeeli

Expertise: Biomechanics, Osteoporosis, Uncertainty quantification (stochastic), Sensitivity analysis, Finite element analysis, Computational mechanics, Stability of structures, Vibration analysis

Affiliation: University of Sheffield

I am a research associate (postdoc) in the mechanical engineering department with an interdisciplinary background in stochastic analysis (uncertainty quantification), mechanics of structures.

Currently, I am developing a new stochastic numerical solver to estimate bone mechanics of a specific population using implementation of statistical and machine learning methods.

Weblink: Dr Saleh Pouresmaeeli | Mechanical Engineering | The University of Sheffield

Mrs Temitope Pupuru

Expertise: Joint replacement, Wound Healing, CAD Modelling, Cosmetics Formulation

Affiliation: University of Dundee

I had my BSc in Biochemistry with industry experience in pharmaceuticals sales, medical device sales and wound management. I independently research cosmetics ingredients and formulate personal care products and fragrances for a hobby. With an interest to understand how things work, I enrolled for my MSc in Biomedical Engineering with a keen interest in research after my studies. My MSc thesis was about “Stimuli-Responsive Wound Dressing Materials”.