Academic Staff
Professor 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.
Dr 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.
Dr George Oikonomou
Academic Lead:
Wireless Sensing
Reliable, Energy Efficient Networking & Mobility for IoT Devices
System Integration & Monitoring
Professor Majid Mirmehdi
Academic Lead:
Quality of Movement from Video
Professor Peter Flach
Academic Lead:
Robust, Sustainable, Data Integration & Learning
Professor Rachael Gooberman-Hill
Academic Lead:
Clinical Proof of Concepts
Engaging the Wider Public
Professor Rachael Gooberman-Hill provides leadership in social science and health research methods within SPHERE. She co-leads the two human-centric design activities as part of SPHERE Next Steps.
Rachael has a background in Social Anthropology with many years of experience working in applied and translational health research. She is particularly interested in support and care for long-term health conditions alongside inclusive research that meets the needs of underserved populations.
Dr Raul Santos-Rodriquez
Academic Lead:
Robust, Sustainable, Data Integration & Learning
Professor Robert Piechocki
Academic Lead:
Wireless Sensing
Poject Lead:
OPERA
Dr Alessandro Masullo
Team: Quality of Movement from Video
Dr Dima Aldamen
Team: Quality of Movement from Video
Dr Ryan McConville
Team: Wireless Sensing
Dr 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
Dr Arindam Sikdar
Dr 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.
Dr Ferdian Jovan
Ferdi is a senior research associate working within SPHERE and PD-SENSORS projects. Much of Ferdi's research focuses on utilising data streams from various sensors to model the world and its dynamics. Its application is closely related to healthcare ranges from assistive robotics to digital health systems. His current work, in PD-SENSORS, involves the development of machine learning algorithms to identify and measure Parkinson's disease progression utilising IoT and wearable sensor data.
Mr Miquel Perello Nieto
Robust, Sustainable, Data Integration and Learning
Mr Taku Yamagata
Miss Yu Chen
PhD Students
Aloe (Thanaphon) Suwannaphong
Ewan Soubutts
Rafael Poyiadzi