Professor Claudia Mazzà

Professor Claudia MazzàProfessor of Biomechanics

Interim Executive Director of the Insigneo Institute for in silico Medicine

Course director for the MSc Computational Medicine

Department of Mechanical Engineering
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD

Tel: +44 (0) 114 222 6073
Fax: +44 (0) 114 222 7890

Email: c.mazza@sheffield.ac.uk







Profile

Claudia received her PhD in Bioengineering in 2004 from the University of Bologna, after having carried her research at the University of Rome “Foro Italico”, where she was appointed Assistant Professor in 2006. In 2013 she joined the Insigneo Institute for in silico medicine and the Department of Mechanical Engineering at the University of Sheffield, where she became a Reader in 2017 and Professor in 2019.

Claudia's research focuses on the biomechanics of human movement and on the definition of experimental and modelling techniques for the clinical assessment of an individual’s locomotor and postural abilities.

She is currently the scientific coordinator of the £4,8M EPSRC Frontier Award Multisim and she is also leading the predictive medicine theme in the £4M National Institutes for Health Research (NIHR) funded Sheffield Biomedical Research Centre for neurological disorders.

Claudia is also a work Package leader in the MOBILISE-D project funded by the Innovative Medicines Initiative 2 Joint Undertaking, which receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA. This is a €50 million project including 34 international research partners based at leading international universities and some of the world’s largest pharmaceutical and technical companies.






Research Interests:

  • Biomechanics
  • Gait analysis
  • Gait and postural control
  • Technologies for human movement analysis
  • Musculoskeletal modelling






Journal articles

Chapters

Conference proceedings papers

  • Angelini L, Hodgkinson W, Smith C, Dodd JM, Ray J, Storm F, Mazza C, Sharrack B & Paling D (2019) Automated gait analysis using wearable sensors can detect objective and reliable quantification of disability in people with Multiple Sclerosis. NEUROLOGY, Vol. 92(15) RIS download Bibtex download
  • Zeca I, Guo Y, Storm F, Mazza C & Guo L (2018) Estimation of Centre of Pressure from Wearable Intertial Sensors. 2018 UKACC 12th International Conference on Control (CONTROL), 5 September 2018 - 7 September 2018. RIS download Bibtex download
  • Montefiori E, Modenese L, Di Marco R, Magni-Manzoni S, Malattia C, Petrarca M, Ronchetti A, van Dijkhuizen P, Viceconti M & Mazza C (2018) MRI-based musculoskeletal models for the quantification of gait in children with Juvenile Idiopathic Arthritis. Gait & Posture, Vol. 65(Suppl 1) (pp 216-218), 24 September 2018 - 29 September 2018. View this article in WRRO RIS download Bibtex download
  • Hodgkinson W, Smith C, Dodd JM, Young H, Radford A, Kelly S, Kemp J, Sharrack B, Ray J, Mazza C , Storm F et al (2017) Body worn sensors accurately and reproducibly quantify disability and walking impairment in a clinical setting in people with MS. MULTIPLE SCLEROSIS JOURNAL, Vol. 23 (pp 737-738) RIS download Bibtex download
  • Di Marco R, Pacilli A, Scalona E, Rossi S, Mazza C & Cappa P (2016) Choosing a similarity index to quantify gait data variability. Gait and Posture View this article in WRRO RIS download Bibtex download
  • Lamberto G, Martelli S, Cappozzo A & Mazza C (2015) Musculoskeletal model sensitivity to stereophotogrammetry skin artefacts. ANZORS 21st Annual Scientific Meeting View this article in WRRO RIS download Bibtex download
  • Morettini M, Sacchetti M, Cappozzo A & Mazzà C (2015) A Mathematical Model of Interleukin-6 Dynamics during Exercise (pp 431-434) View this article in WRRO RIS download Bibtex download
  • Di Marco R, Rossi S, Bachetti B, Mazza C & Cappa P (2015) Effect of the calibration procedure of an optoelectronic system on the joint kinematics. 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings, 7 May 2015 - 9 May 2015. RIS download Bibtex download
  • Teti G, Laschi C, Guglielmelli E, Mazza C, Perini S, Dario P & Carrozza MC (2001) An experimental method for user-driven design of a modular aid system. INTEGRATION OF ASSISTIVE TECHNOLOGY IN THE INFORMATION AGE, Vol. 9 (pp 283-290) RIS download Bibtex download
  • Storm FA, Buckley CJ & Mazza C () Accuracy of two algorithms for gait events detection in free-living settings. Conference Proceedings at: International Symposium: 3d Analysis Of Human Movement (3dAHM) View this article in WRRO RIS download Bibtex download
  • Lamberto G, Martelli S, Cappozzo A & Mazza C () A PROBABILISTIC ANALYSIS OF THE EFFECTS OF SOFT TISSUE ARTEFACTS ON THE ESTIMATE OF MUSCLE AND JOINT FORCES. https://esbiomech.org/conference/index.php/congress/lyon2016/schedConf/presentations View this article in WRRO RIS download Bibtex download
  • Di Marco R, Rossi S, Racic V, Cappa P & Mazza C () A comparison between four foot model protocols: the effect of walking on a treadmill. XXV Congress of the International Society of Biomechanics. Glasgow, 12 July 2015 - 16 July 2015. RIS download Bibtex download

Reports

  • Carusi A (2015) In silico Clinical Trials: How Computer Simulations Will Transform the Biomedical Industry. An International Roadmap for an Industry-Driven Initiative. RIS download Bibtex download

Software / Code

Datasets