Professor Vitaveska Lanfranchi

简介

Prof Vitaveska Lanfranchi is Professor of Digital Health and Pervasive Computing and a member of the Pervasive Computing research group.Her research field is highly interdisciplinary, focusing on the intersection between ubiquitous computing, data analysis and user-centred decision making in healthcare. She specialised in participatory design methods to develop novel methodologies and interfaces for ubiquitous and mobile computing, by employing sensing and tracking technologies to record users activities and analyse the data to reveal patterns and create intelligent systems that could influence users’ decision making and behaviour.Vita has a long academic history and industry experience: from 2014 till 2017, whilst on secondment from her research position, she has held the post of CEO in K

代表成果

• Brittain G, Long M, Buckley E, Becker C, Buekers J, de las Heras M, Armengol C, Koch S, Braun J, Caufield B , Comi G et al (2026) Testing the construct validity of real-world digital mobility outcomes in multiple sclerosis. Multiple Sclerosis Journal. View this article in WRRO
• Megaritis D, Long M, de las Heras M, Alcaraz-Serrano V, Alvarez P, Becker C, Braun J, Buekers J, Buttery S, Caulfield B , Cereatti A et al (2026) The construct validity of real-world digital mobility outcomes in people with chronic obstructive pulmonary disease. ERJ Open Research, 12(2). View this article in WRRO
• Eckert T, Berge MA, Long M, de las Heras M, Alvarez P, Blain H, Braun J, Buekers J, Caulfield B, Engdal M , Frei A et al (2026) Construct validity of real-world digital mobility outcomes in patients after proximal femoral fracture: a cross-sectional observational study. Scientific Reports, 16(1). View this article in WRRO
• Kirk C, Rehman RZU, Galna B, Ranciati S, Packer E, Ireson N, Lanfranchi V, Mazzà C, Alcock L, Rochester L , Yarnall AJ et al (2026) Toward an understanding of real-world mobility in Parkinson’s: insights from enhanced contextualisation using GPS-derived location and data-driven modeling of walking speed. Frontiers in Aging Neuroscience, 18. View this article in WRRO
• Brittain G, Buckley E, Lanfranchi V, Long M, Tsaktanis T, Rothhammer V, Hansen C, Stürner KH, Maetzler W, Rochester L , Sutcliffe L et al (2026) Recruitment of the multiple sclerosis cohort within the European Mobilise-D clinical validation study—lessons learnt, baseline demographics and clinical characteristics. Trials, 27. View this article in WRRO
• Trentadue G, Tasca P, Buckley E, Sun S, Long M, Ireson N, Lanfranchi V & Cereatti A (2025) Automatic recognition of smartphone location with machine learning for real-world gait analysis. Gait & Posture, 122, 109944.30-109944.30.
• Webb TL, Baird HM, Maikore FS, West R, Hastings J, Mazumdar S, Lanfranchi V & Michie S (2025) A method for evaluating the interoperability of ontology classes in the behavioural and social sciences [version 1; peer review: awaiting peer review]. Wellcome Open Research, 10. View this article in WRRO
• Roychowdhury S, Lanfranchi V & Mazumdar S (2025) Evaluating explanation performance for clinical decision support systems for non-imaging data: a systematic literature review. Computers in Biology and Medicine, 197, Part A. View this article in WRRO
• Wang X, Zhang Y, Liu T, Yuan Z, Liu K, Lanfranchi V & Yang P (2025) SPOT: An efficient training-free task similarity quantification method for continual learning. Pattern Recognition Letters. View this article in WRRO
• Brennaf M, Yang P & Lanfranchi V (2025) Secured cost-effective anonymous federated learning with proxied privacy enhancement for personal devices. IEEE Internet of Things Journal. View this article in WRRO