Dr Alberto Marzo

Department of Mechanical Engineering

Senior Lecturer

MSc Bioengineering Director

Alberto Marzo
Profile picture of Alberto Marzo
+44 114 222 0155

Full contact details

Dr Alberto Marzo
Department of Mechanical Engineering
Sir Frederick Mappin Building
Mappin Street
S1 3JD

Dr Marzo is a Senior Lecturer at the Department of Mechanical Engineering, University of Sheffield.

Dr Marzo has a five-year degree in Mechanical Engineering from the University of Cagliari, Italy, and a PhD from the University of Sheffield.

In the early stages of his PhD he was awarded the David Crighton Fellowship, and spent one year of his doctoral studies at the Department of Applied Mathematics and Theoretical Physics, the University of Cambridge. Here he investigated the theory behind flow-induced oscillations in elastic vessels.

In 2011-12 he worked as a Principal Research Scientist for the NHS to support technology development, dissemination, and adoption, for people with long-term disabilities.

Dr Marzo's research area stands at the interface between the physical and life sciences. It is firmly rooted in engineering and mathematics in the context of computational fluid mechanics, including state-of-the-art fluid-structure interaction, and cardiovascular biomechanics, but has a strong emphasis on clinical interpretation and translation of engineering technologies into clinical tools.

Research interests
  • Image-based 3D cardiovascular modelling
  • 1D whole-circulation modelling of blood flow through elastic vessels
  • Optimisation of medical devices used in treatment of respiratory disease
  • Influence of haemodynamics on cardiovascular disease
  • Influence of fluid flows on bacterial biofilms
  • Use of HPC-based approaches and statistical emulators for verification, validation and uncertainty quantification

Journal articles

Conference proceedings papers

  • Tartarini D, Benemerito I, Narracott A, Li X, Richmond P & Marzo A (2021) pFIRE: parallel Framework for Image REgistration. Compbiomed Conference 2021 RIS download Bibtex download
  • Narata AP, Silva de Moura F, Marzo A, Perrault C, Larrabide I, Bouakaz A & Sennoga C (2017) Notice of Removal: Ultrasound study of hemodynamic changes by flow diverting stents in idealised and patient-specific anatomies. 2017 IEEE International Ultrasonics Symposium (IUS), 6 September 2017 - 9 September 2017. RIS download Bibtex download
  • Di Marco LY, Marzo A & Frangi A (2013) Multichannel foetal heartbeat detection by combining source cancellation with expectation-weighted estimation of fiducial points. Computing in Cardiology, Vol. 40 (pp 329-332) RIS download Bibtex download
  • Mangera A, Marzo A, Heron N, Fernando D, Abdel-Maguid MM, Hameed K, Soliman A, Bradley M, Hosking I & Chapple C (2012) DEVELOPMENT AND ASSESSMENT OF TWO ELECTRONIC BLADDER DIARIES; A PILOT STUDY. NEUROUROLOGY AND URODYNAMICS, Vol. 31(6) (pp 770-771) RIS download Bibtex download
  • Barber DC, Hartwell J, Naylor S, Marzo A & Hose DR (2009) Determination of Wall Strain in Model Cerebral Aneurysms by Image Registration. INTERNATIONAL CONFERENCE ON ADVANCEMENTS OF MEDICINE AND HEALTH CARE THROUGH TECHNOLOGY, Vol. 26 (pp 283-286) RIS download Bibtex download
  • Marzo A, Luo XY & Bertram CD (2005) Three-dimensional collapse and steady flow in thick-walled flexible tubes. JOURNAL OF FLUIDS AND STRUCTURES, Vol. 20(6) (pp 817-835) RIS download Bibtex download



  • 2013-17 VPH-DARE@IT (EU FP7 - ICT) - Large-scale Intergated Project (IP) on patient-specific predictive models for early diagnosis of dementias and their evolution (co-investigator, PI Prof Alejandro Frangi)
  • 2014-15 NHS/EPSRC Urinary catheters: a more efficient and dignified solution for patients suffering from urinary incontinence (Principal Investigator)
  • 2016 - 2019 CompBioMed (EU H2020, phase 1) A Centre of Excellence in Computational Biomedicine (PI)

  • 2019 - 2023 CompBioMed (EU H2020, phase 2) A Centre of Excellence in Computational Biomedicine (PI)

Teaching activities
  • MEC320 Computational Fluid Dynamics
  • MEC458/BIE6434 Cardiovascular Biomechanics
  • IPE61007  Applied Modelling Skills and Virtual Reality
Current available PhDs
  • An efficient computational approach to guide intervention in treatment of stroke