Research Keywords: cancer informatics; inverse problems; machine learning; magnetic resonance imaging; magnetic resonance spectroscopy; mathematical optimisation; particle physics; positron emission tomography; proton imaging; tomography

Biography: Nikolaos Dikaios is a Research Scientist at the Mathematics Research Center, Academy of Athens, Greece. He completed his DPhil (2011) in medical physics from the University of Cambridge and worked ... [+]

Biography: Nikolaos Dikaios is a Research Scientist at the Mathematics Research Center, Academy of Athens, Greece. He completed his DPhil (2011) in medical physics from the University of Cambridge and worked in MRI as a research associate at UCL until 2016. Prior to his appointment at the Academy of Athens he was an Assistant Professor, at the department of Electrical Engineering where he is currently a Visiting Assistant Professor. His research interests include tomography, mathematical optimization, cancer informatics and physics. In 2019 he has been awarded a Royal Society Fellowship to work with Elekta on the world's first linear accelerator integrated with high field MRI. The aim was to perform real-time visualization for truly adaptive radiotherapy, with a potential to monitor tumor response, so that treatment can be adjusted accordingly. He has also been awarded (2017) with the EPSRC first grant to work on imaging methods to optimize cancer treatment with high energy proton beams. His work in prostate cancer detection using multi-parametric MRI has been awarded twice with the Summa Cum Laude (top 5%) and once with Magna Cum Laude (top 15%) from the flagship conference in MRI (ISMRM) with more than 6000 attendees every year. He is also one of the developers of the popular, open-source software for tomographic image reconstruction, STIR. STIR has been awarded the Rotblat Medal for the most cited research paper published by Physics in Medicine & Biology out of more than 3,000 articles since 2012. [-]