Academic Staff


For people page 150 x 180 pxProfessor Ian Craddock

SPHERE Project Director

Academic Lead:

Wireless Sensing
Reliable, Energy-Efficient Networking & Mobility for IoT Devices
System Integration & Monitoring

Ian Craddock has a cross-Faculty position as Institutional Lead for Digital Health at the University of Bristol. In addition to the SPHERE project he is the Director of the national Centre for Doctoral Training in Digital Health and of Bristol’s MSc in Digital Health. He has had research leadership roles in both academia (including the flagship £16M EPSRC SPHERE Digital Health project 2013-2023) and industry (as Director of Toshiba’s Bristol Research Laboratory 2011-2019).

He is a Fellow of the IEEE and the IET. He has long-standing interests in electronics, computer science, healthcare and in ethics. He has chaired numerous national grant review panels, served on national research strategy boards and is a panel member for REF2021, the UK’s national audit of University research quality.


For people page 150 x 180pxDr Aisling O'Kane

Academic Lead:

Clinical Proof of Concepts
Engaging the Wider Public

Aisling Ann O’Kane is a Senior Lecturer in Human-Computer Interaction for Health as part of the Bristol Interaction Group (BIG). She co-leads the two human-centric design activities as part of SPHERE Next Steps.

The focus of this research is threefold: understanding how smarthome technologies are adopted and accepted by the wider household, understanding the onboarding/consenting process for complex smarthome systems, and understanding how mental wellbeing might be tracked and supported with Black, Asian and refugee communities in Bristol. She is an active member of the CHI and CSCW research communities, and is interested in the real world use of health and care technologies.


For people page 150 x 180 pxDr George Oikonomou

Academic Lead:

Wireless Sensing
Reliable, Energy Efficient Networking & Mobility for IoT Devices
System Integration & Monitoring 

George Oikonomou's research focuses on energy-efficient networking for severely constrained wireless embedded devices and the IoT. The objective is to invent and prototype networking algorithms that are optimised for constrained/low-capability, battery-powered devices without sacrificing performance and reliability.
 
In the context of SPHERE, George's work has made a key contribution to the hardware and software/firmware design of SPHERE's in-house-developed wearable device, environmental sensor and low-power gateway. George is also the academic lead for the work on System Integration and Monitoring; he and his team have delivered the overall architecture of the SPHERE system that was deployed at participant properties in and around the Bristol area as part of the 100 homes study, CUBOiD and PD Sensors.

For people pageProfessor Majid Mirmehdi

Academic Lead:

Quality of Movement from Video

 

 

 For people page 150 x 180pxProfessor Peter Flach

Academic Lead:

Robust, Sustainable, Data Integration & Learning

 

 

For people page, 150 x 180 pxProfessor Rachael Gooberman-Hill

A‌cademic Lead:

Clinical Proof of Concepts
Engaging the Wider Public

 

 

For people page 150 x 180pxDr Raul Santos-Rodriquez

Academic Lead:

Robust, Sustainable, Data Integration & Learning

 

 

For people page 150 x 180pxProfessor Robert Piechocki

Academic Lead:

Wireless Sensing

Poject Lead:

OPERA

 

 For people page 150 x 180pxDr Alessandro Masullo

Team: Quality of Movement from Video

 

 

For people page 150 x 180 pxDr Dima Aldamen

 

Team: Quality of Movement from Video

 

 

For people page 150 x 180pxDr Ryan McConville

 

Team: Wireless Sensing

 

 

For people page 150 x 180pxDr Tilo Burghardt

Team: Quality of Movement from Video

Tilo's SPHERE research focuses on applying and advancing biometric computer vision techniques to improve health-related automation and assistance. Some of the key topics of his research cover the visual biometric estimation of calorific expenditure, the recognition of key behaviours, and the related question of the quality of motion observed.

Within SPHERE he closely works together with Majid Mirmehdi, Dima Damen, Alessandro Massulo, and Toby Perrett. Tilo is also passionate about the related OneHealth approach, a concept that promotes sharing knowledge, technology, and research to improve the health and care for humans, animals, and the environment alike.

Post-Doctoral Research Associates


For no photo on people page 150 x 180pxMr Amid Ayobi

Team:
Engaging the Wider Public

SPHERE has significant potential to improve not only understanding of people’s health and wellbeing in the home but also decision-making in clinical settings. In collaboration with the Knowle West Media Centre and local community organisations, Amid investigates the mental health needs of people from diverse ethnic backgrounds to inform inclusive and culturally sensitive SPHERE deployments. 

Amid studied Media Informatics and Design at Bielefeld University and Human-Computer Interaction at the University of Siegen, Germany. He investigated how technologies could support experiences of agency in multiple sclerosis self-care as part of his PhD studies at the UCL Interaction Centre.    


For people page 150 x 180pxDr Em Tonkin

Teams:
Robust, Sustainable, Data Integration and Learning
System Integration and Monitoring

Em Tonkin is a research fellow working with Digital Health on SPHERE and related projects. Much of her work on SPHERE relates to law, ethics and best practice in data management and processing of healthcare-related data. Her research focuses include fault-tolerance, observability and auditability in domestic digital health deployments, robust architectures for digital health systems, and applications of data analysis, machine learning and visualisation in digital health, law and the humanities. In collaboration with Kristina Yordanova (University of Rostock) she has for several years co-chaired the Annotation of useR Data for UbiquitOUs Systems workshop in affiliation with PerCom. 


For no photo on people page 150 x 180pxDr Farnoosh Heidarivincheh

 

 

 

 


For no photo on people page 150 x 180pxDr Haixia Bi

Team:
Robust, Sustainable, Data Integration and Learning

Haixia's work within SPHERE mainly focuses on developing machine learning methods with different degrees of supervision for healthcare data processing tasks, including activity recognition and localisation. Aiming to tackle issues in healthcare data processing such as scarcity of labels and distribution diversity, for which Haixia has developed a number of methods using semi-supervised learning, active learning etc. Haixia is interested in designing machine learning methods with fused multi-modality data and joint activity recognition and localisation methods in the future.


For no photo on people page 150 x 180pxDr MD Israfil Biswas

 

Reliable, Energy-Efficient Networking and Mobility for IoT Devices

 

 

For people page 150 x 180px‌Mr Miquel Perello Nieto

 

Robust, Sustainable, Data Integration and Learning

 

 

For no photo on people page 150 x 180pxMs Rachel Eardley 

 

Clinical Proof of Concepts

 

 


For no photo on people page 150 x 180pxMr Taku Yamagata

 

 

 

 


For no photo on people page 150 x 180pxMr Toby Perret

Quality of Movement from Video

PhD Students


Ewan Soubutts

Clinical Proof of Concepts
Engaging the Wider Public

Rachel Eardley

Clinical Proof of Concepts

Rafael Poyiadzi

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