Key details
Professor Gianluca Tozzi
Professor of Industrial Engineering
Professor Gianluca Tozzi is a Professor of Industrial Engineering at the Faculty of Engineering and Science, University of Greenwich. He joined the University in 2022 to lead on multi-disciplinary research and knowledge exchange in Bio-Inspired Engineering with Imaging-based AI and quantum data (Bio-AImagiQ) for biological tissues and biomaterials.
Previously, he was a Professor of Mechanical Engineering at the School of Engineering, London South Bank University and a Reader in Bioengineering at the School of Mechanical and Design Engineering, University of Portsmouth. Professor Tozzi received a PhD in Bioengineering in 2012 from the University of Portsmouth and a 5-year MSc in Mechanical Engineering in 2008 from the University of Bologna.
Responsibilities within the university
Module leader
- Engineering Mathematics 2 (MATH1145)
- Global Engineering: Theory and Practice (GEEN1093)
Coordinator
- 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 Tozzi’s research is devoted to the understanding of structure-function of biological tissues and biomaterials, aimed at informing product development for industry as well as clinical practice for traumatic and pathological conditions. Over the years, he has pioneered research that advanced the understanding of biological tissues and biomaterials through the integration of advanced imaging techniques (e.g. in situ X-ray tomography), full-field measurement techniques (e.g. digital volume correlation) and artificial intelligence, producing a profound technological advancement.
Recently, groundbreaking models have been developed such as D2IM to predict bone deformation from X-ray tomography greyscale [Soar et al., 2024. Ext. Mech. Lett.], DiffSpectralNet to improve classification in hyperspectral imaging (HSI) [Sigger et al., 2024. Sci. Rep.] and MedDiffHSI to improve tumour detection with HSI [Sigger et al., 2024. J. Mic.].
New interdisciplinary research is underway and includes AI digital volume correlation of hard/soft tissue, data-driven modelling of hard/soft tissue with vision transformers and diffusion-based architectures, collaborative diffusion multi-modal image analysis of biological tissue, biomaterial formulation with diffusion-language models, composing bone biomimetic materials with AI sonification, quantum representation of images and measurement in the quantum space.
Professor Tozzi has authored over 100 papers and serves as reviewer for UK/international funding agencies and peer-reviewed journals. He has secured funding >£3.5M from various grants as well as direct support from industry, where the research produced a tangible impact with commercial exploitation.