Key details
Professor Gianluca Tozzi
Professor of Industrial Engineering
Professor Gianluca Tozzi is a Professor of Industrial Engineering in the School of Engineering at the University of Greenwich, where he leads the Predictive Imaging (PI) Lab. His research brings together expertise across engineering, computing, science and pharmacy to advance imaging, artificial intelligence and emerging quantum technologies for biological tissues and bio-inspired materials.
Before joining the University of Greenwich, Professor Tozzi served as Professor of Mechanical Engineering at the School of Engineering, London South Bank University, and as Reader in Bioengineering at the School of Mechanical and Design Engineering, University of Portsmouth.
He earned a PhD in Bioengineering from the University of Portsmouth in 2012 and a five-year MSc in Mechanical Engineering from the University of Bologna in 2008. His work focuses on the development and application of advanced imaging technologies, AI-driven approaches and emerging quantum methods to address challenges in engineering, healthcare and materials science.
Responsibilities within the university
Module leader
- Engineering Mathematics 2 (MATH1145)
- Global Engineering: Theory and Practice (GEEN1093)
Lead
- REF UoA12 Engineering
Awards
Senior Visiting Fellow (2022). Department of Industrial Engineering, University of Bologna, Italy.
Honorary Visiting Scholar (2017). School of Computer Science, Engineering & Mathematics, Flinders University, Australia.
Recognition
Editorial board member
- Journal of Microscopy (Wiley)
- Tomography of Materials and Structures (Elsevier)
- Scientific Reports (Nature)
Research / Scholarly interests
Professor Gianluca Tozzi has established a global profile as a pioneering researcher and leading authority in imaging-based measurements of biological tissues and bio-inspired materials, advancing the field from three-dimensional characterisation and full-field strain measurement towards Predictive Imaging. His distinctive contribution has been to integrate experimental imaging, mechanics, artificial intelligence and emerging quantum technologies within a sustained research programme that increasingly enables images to reveal how structures behave, deform and fail.
Professor Tozzi has authored more than 100 peer-reviewed publications and serves as a reviewer for UK and international funding agencies, as well as leading peer-reviewed journals in the field. He has secured more than £4.3 million in research funding and competitively awarded access to major research facilities, resulting in research with tangible impact, including opportunities for commercial exploitation.
Recent publications
Article
Sensini, Alberto , Giacomini, Francesca, Stamati, Olga, Lukic, Bratislav , Villanova, Julie , Proudhon, Henry , Gille, Maryse , Birgani, Zeinab Tahmasebi , Truckenmüller, Roman , Tozzi, Gianluca (2025), Revealing the auxetic behavior of biomimetic multimaterial and region-specific nanofibrous fascicle-Inspired scaffoldsvia synchrotron multiscale digital volume correlation: innovative building blocks for the enthesis regeneration. Wiley. In: , , , . Wiley, Advanced Functional Materials: e11660 ISSN: 1616-301X (Print), 1616-3028 (Online) (doi: https://doi.org/10.1002/adfm.202511660).
Sigger, Neetu , Nguyen, Tuan T., Tozzi, Gianluca (2025), Detecting temporal changes in skin surrogate model using hyperspectral imaging. Springer Nature - Materials Research Society. In: , , , . Springer Nature - Materials Research Society, MRS Communications ISSN: 2159-6859 (Print), 2159-6867 (Online) (doi: https://doi.org/10.1557/s43579-025-00777-y).
Tozzi, Gianluca and , Dall'Ara, Enrico (2025), An overview of reliable and representative DVCmeasurements for musculoskeletal tissues. Wiley. In: , , , . Wiley, Journal of Microscopy, 300 (1) . pp. 3-17 ISSN: 0022-2720 (Print), 1365-2818 (Online) (doi: https://doi.org/10.1111/jmi.70008).
Curto, Marco , Dowsett, Jack, Kao, Alexander, Tozzi, Gianluca , Barber, Asa (2025), Multi-material 3D printed composites inspired by nacre: a hard/soft mechanical interplay. Nature Research. In: , , , . Nature Research, Scientific Reports, 15: 6728 2045-2322 (Online) (doi: https://doi.org/10.1038/s41598-025-91080-2).
Mathew, Sharon , Ashraf, Sadaf, Shorter, Susan, Tozzi, Gianluca , Koutsikou, Stella , Ovsepian, Saak V. (2024), Neurobiological correlates of rheumatoid arthritis and osteoarthritis: remodelling and plasticity of nociceptive and autonomic innervations in synovial joints. SAGE. In: , , , . SAGE, The Neuroscientist . pp. 1-20 ISSN: 1073-8584 (Print), 1089-4098 (Online) (doi: https://doi.org/10.1177/10738584241293049).
Sigger, Neetu , Nguyen, Tuan T., Tozzi, Gianluca (2024), Brain tissue classification in hyperspectral images using multistage diffusion features and transformer. Wiley. In: , , , . Wiley, Journal of Microscopy ISSN: 0022-2720 (Print), 1365-2818 (Online) (doi: https://doi.org/10.1111/jmi.13372).
Soar, Peter , Dall’Ara, Enrico, Palanca, Marco, Tozzi, Gianluca (2024), Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images – Evaluation of bone mechanics. Elsevier. In: , , , . Elsevier, Extreme Mechanics Letters (EML), 71: 102202 2352-4316 (Online) (doi: https://doi.org/10.1016/j.eml.2024.102202).
Sigger, Neetu , Vien, Quoc-Tuan, Nguyen, Sinh Van, Tozzi, Gianluca , Nguyen, Tuan Thanh (2024), Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification. Nature. In: , , , . Nature, Scientific Reports, 14: 8438 2045-2322 (Online) (doi: https://doi.org/10.1038/s***********8125-4).
Kim, Yang-Hee , Kanczler, Janos M., Lanham, Stuart, Rawlings, Andrew , Roldo, Marta , Tozzi, Gianluca , Dawson, Jonathan I. , Cidonio, Gianluca , Oreffo, Richard O. C. (2024), Biofabrication of nanocomposite-based scaffolds containing human bone extracellular matrix for the differentiation of skeletal stem and progenitor cells. Springer. In: , , , . Springer, Bio-Design and Manufacturing ISSN: 2096-5524 (Print), 2522-8552 (Online) (doi: https://doi.org/10.1007/s42242-023-00265-z).
Sensini, Alberto , Stamati, Olga, Marchiori, Gregorio, Sancisi, Nicola , Gotti, Carlo , Giavaresi, Gianluca , Cristofolini, Luca , Focarete, Maria Letizia , Zucchelli, Andrea , Tozzi, Gianluca (2024), Full-field strain distribution in hierarchical electrospun nanofibrous poly-L(lactic) acid/collagen scaffolds for tendon and ligament regeneration: a multiscale study. Elsevier. In: , , , . Elsevier, Heliyon, 10: e26796 (5) . pp. 1-15 2405-8440 (Online) (doi: https://doi.org/10.1016/j.heliyon.2024.e26796).
Rojas-Rojas, Laura , Tozzi, Gianluca, Guillén-Girón, Teodolito (2023), A comprehensive mechanical characterization of subject-specific 3D printed scaffolds mimicking trabecular bone architecture biomechanics. MDPI. In: , , , . MDPI, Life, 13: 2141 (11) . pp. 1-14 2075-1729 (Online) (doi: https://doi.org/10.3390/life13112141).
Karali, Aikaterina , Dall’Ara, Enrico, Zekonyte, Jurgita, Kao, Alexander P. , Blunn, Gordon , Tozzi, Gianluca (2022), Effect of radiation-induced damage of trabecular bone tissue evaluated using indentation and digital volume correlation. Elsevier. In: , , , . Elsevier, Journal of the Mechanical Behavior of Biomedical Materials, 138: 105636 . pp. 1-10 ISSN: 1751-6161 (Print), (doi: https://doi.org/10.1016/j.jmbbm.2022.105636).
Black, Cameron , Gibbs, David, McEwan, Josephine, Kanczler, Janos , Fernández, Marta Peña , Tozzi, Gianluca , Dawson, Jonathan , Oreffo, Richard (2022), Comparison of bone formation mediated by bone morphogenetic protein delivered by nanoclay gels with clinical techniques (autograft and InductOs®) in an ovine bone model. SAGE. In: , , , . SAGE, Journal of Tissue Engineering, 13 . pp. 1-13 ISSN: 2041-7314 (Print), (doi: https://doi.org/10.1177/20417314221113746).
Dall’Ara, Enrico and , Tozzi, Gianluca (2022), Digital volume correlation for the characterization of musculoskeletal tissues: current challenges and future developments. In: , , , . , Frontiers in Bioengineering and Biotechnology, 10: 1010056 ISSN: 2296-4185 (Print), (doi: https://doi.org/10.3389/fbioe.2022.1010056).
Riveiro Rodríguez, Antonio , Badar, Waqas, Ali, Husna, Brooker, Olivia N. , Newham, Elis , Snow, Tim , Terrill, Nicholas J. , Tozzi, Gianluca , Fratzl, Peter , Knight, Martin M. (2022), Collagen pre-strain discontinuity at the bone—Cartilage interface. In: , , , . , PLOS ONE, 17 (9) . pp. e0273832 ISSN: 1932-6203 (Print), (doi: https://doi.org/10.1371/journal.pone.0273832).
Rumney, Robin M. H. , Robson, Samuel C., Kao, Alexander P., Barbu, Eugen , Bozycki, Lukasz , Smith, James R. , Cragg, Simon M. , Couceiro, Fay , Parwani, Rachna , Tozzi, Gianluca (2022), Biomimetic generation of the strongest known biomaterial found in limpet tooth. Nature Research. In: , , , . Nature Research, Nature Communications, 13: 3753 (1) . pp. 1-13 2041-1723 (Online) (doi: https://doi.org/10.1038/s41467-022-31139-0).
Peña Fernández, Marta , Sasso, Sebastian J., McPhee, Samuel, Black, Cameron , Kanczler, Janos , Tozzi, Gianluca , Wolfram, Uwe (2022), Nonlinear micro finite element models based on digital volume correlation measurements predict early microdamage in newly formed bone. Elsevier. In: , , , . Elsevier, Journal of the Mechanical Behavior of Biomedical Materials, 132: 105303 . pp. 1-16 ISSN: 1751-6161 (Print), (doi: https://doi.org/10.1016/j.jmbbm.2022.105303).
Dall’Ara, E. , Bodey, A.J., Isaksson, H., Tozzi, Gianluca (2022), A practical guide for in situ mechanical testing of musculoskeletal tissues using synchrotron tomography. Elsevier. In: , , , . Elsevier, Journal of the Mechanical Behavior of Biomedical Materials, 133: 105297 . pp. 1-13 ISSN: 1751-6161 (Print), (doi: https://doi.org/10.1016/j.jmbbm.2022.105297).
Bonithon, Roxane , Lupton, Colin, Roldo, Marta, Dunlop, Joseph Nicholas , Blunn, Gordon William , Witte, Frank , Tozzi, Gianluca (2022), Open-porous magnesium-based scaffolds withstand in vitro corrosion under cyclic loading: a mechanistic study. Elsevier - KeAi Communications. In: , , , . Elsevier - KeAi Communications, Bioactive Materials, 19 . pp. 406-417 2452-199X (Online) (doi: https://doi.org/10.1016/j.bioactmat.2022.04.012).
Zhang, Yuezhou , Hollis, Dave, Ross, Rosie, Snow, Tim , Terrill, Nick J. , Lu, Yongjie , Wang, Wen , Connelly, John , Tozzi, Gianluca , Gupta, Himadri S. (2022), Investigating the fibrillar ultrastructure and mechanics in keloid scars using in situ synchrotron X-ray nanomechanical imaging. MDPI. In: , , , . MDPI, Materials, 15: 1836 (5) . pp. 1-19 ISSN: 1996-1944 (Print), (doi: https://doi.org/10.3390/ma15051836).
Hexter, Adam T. , Karali, Aikaterina, Kao, Alex, Tozzi, Gianluca , Heidari, Nima , Petrie, Aviva , Boyd, Ashleigh , Kalaskar, Deepak M. , Pendegrass, Catherine , Rodeo, Scott (2021), Effect of demineralized bone matrix, bone marrow mesenchymal stromal cells, and platelet-rich plasma on bone tunnel healing after anterior cruciate ligament reconstruction: a comparative micro-computed tomography study in a tendon allograft sheep model. SAGE. In: , , , . SAGE, Orthopaedic Journal of Sports Medicine, 9 (9) . pp. 1-19 ISSN: 2325-9671 (Print), (doi: https://doi.org/10.1177/23259671211034166).
Shen, Sabrina Chin-yun , Peña Fernández, Marta, Tozzi, Gianluca, Buehler, Markus J. (2021), Deep learning approach to assess damage mechanics of bone tissue. Elsevier. In: , , , . Elsevier, Journal of the Mechanical Behavior of Biomedical Materials, 123: 104761 ISSN: 1751-6161 (Print), (doi: https://doi.org/10.1016/j.jmbbm.2021.104761).
Peña Fernández, Marta , Kao, Alexander P., Bonithon, Roxane, Howells, David , Bodey, Andrew J. , Wanelik, Kazimir , Witte, Frank , Johnston, Richard , Arora, Hari , Tozzi, Gianluca (2021), Time-resolved in situ synchrotron-microCT: 4D deformation of bone and bone analogues using digital volume correlation. Elsevier - Acta Materialia. In: , , , . Elsevier - Acta Materialia, Acta Biomaterialia, 131 . pp. 424-439 ISSN: 1742-7061 (Print), 1878-7568 (Online) (doi: https://doi.org/10.1016/j.actbio.2021.06.014).
Bonithon, Roxane , Kao, Alexander Peter, Fernández, Marta Peña, Dunlop, Joseph Nicholas , Blunn, Gordon William , Witte, Frank , Tozzi, Gianluca (2021), Multi-scale mechanical and morphological characterisation of sintered porous magnesium-based scaffolds for bone regeneration in critical-sized defects. Elsevier - Acta Materialia. In: , , , . Elsevier - Acta Materialia, Acta Biomaterialia, 127 . pp. 338-352 ISSN: 1742-7061 (Print), 1878-7568 (Online) (doi: https://doi.org/10.1016/j.actbio.2021.03.068).
Conference item
Boddington, Ghislaine , Tozzi, Gianluca, Oladunjoye, Ibukunolu (2025), Digital Human Twins: our future data selves. In: FICTA - 13th International Conference on "Frontiers of Intelligent Computing: Theory and Applications", 6th - 7th June, 2025, London Metropolitan University, London , . , (doi: https://www.londonmet.ac.uk/research/centres-groups-and-units/ai-and-data-science-research-group/events/13th-international-conference-on-frontiers-of-intelligent-computing-theory-and-applications/).
Dataset
Soar, Peter , Palanca, Marco, Enrico, Dall'Ara, Tozzi, Gianluca (2024), Supplementary Information for Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images - Evaluation of bone mechanics. Peter Soar. In: , , , . Peter Soar, (doi: https://doi.org/10.6084/m9.figshare.25404220.v1).
Working paper
Florez, Isabella , Farhat, Ahmed, Le Houx, James, Altamura, Edoardo , Tozzi, Gianluca (2026), Quantum kernel support vector machines for trabecular bone classification: comparing feature reduction strategies on synthetic micro-CT data. bioRxiv. In: , , , . bioRxiv, London (doi: https://doi.org/10.64898/2026.05.04.722627).
Valijonov, Jon , Soar, Peter, Le Houx, James, Tozzi, Gianluca (2026), Evaluation of direct strain field prediction in bone with data-driven image mechanics (D2IM-Strain). bioRxiv. In: , , , . bioRxiv, London (doi: https://doi.org/10.64898/2026.03.31.715417).