Daniel Deidda received his MSc in Applied Physics from the Università di Cagliari, Italy, in 2014 with a research project in the field of proton therapy, which was carried out at the National Southern Laboratory, INFN, Catania, Italy. He completed his PhD in Biomedical Imaging in 2018 at the University of Leeds, funded from the Postgraduate Research Scholarship university of Leeds. During his PhD, Daniel worked at the Biomedical Imaging Science Department, and Department of Statistics at University of Leeds, where he proposed the Hybrid Kernelised Epectation Maximisation (HKEM) algorithm using PET-MR data. After the PhD Daniel moved to London where he currently works as a Higher Research Scientist at the National Physical Laboratory, London, UK and is a Honorary Research Associate at the Institute of Nuclear Medicine University College London Hospital, the focus of his work is in nuclear medicine image reconstruction algorithms, improvement of quantification, image analysis, and software support for SPECT image reconstruction.
Details on Daniel Deidda work experience and publications can be found in the following links:
https://www.researchgate.net/profile/Daniel_Deidda
https://uk.linkedin.com/in/daniel-deidda
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