Engineering and Imaging Basics for Robot-Assisted Minimally Invasive Surgery
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Sanja Dogramadzi is leading Healthcare Robotics group (REACH) in Bristol Robotics Laboratory. She has a degree in Mechanical and Control Engineering and holds a PhD in medical robotics from University of Newcastle. Before joining UWE, she worked at University of Newcastle and University of Leeds. Sanja's research interests include design and control of surgical robots for minimally invasive fracture surgery and robot-assisted MIS, rehabilitation robots, physical assistance robots and safe and ethical human-robot interaction. She has led and coordinated many research projects funded by UK councils, Innovate UK, NIHR and European Commission and have been awarded more than £4M in the last five years. Recent research includes EC funded SMARTsurg project, EPSRC funded I-DRESS project, H2020 Marie Curie ITN Socrates and the technical leadership for Innovate UK funded CHIRON project. Sanja holds patents for work in robot-assisted fracture surgery and motion sensing surface for radiotherapy treatment.
Giulio Dagnino is Associate Professor of Medical Robotics at the University of Twente in the Netherlands. He focuses on advancing image guided robotic intervention, particularly in developing MR Safe Devices for targeted therapy. Giulio received his BSc (2004) and MSc (2007) in Bioengineering from the University of Genoa, Italy, followed by a PhD in Medical Robotics from the Italian Institute of Technology 2013 )). His doctoral work centered on novel technologies for robot assisted laser microsurgery. Subsequently, he was postdoc at the Bristol Robotics Laboratory, focusing on robot assisted fracture surgery. In 2017, Giulio joined the Hamlyn Centre for Robotic Surgery at Imperial College London, where he led a team in developing an innovative MRI safe robotic platform for endovascular interventions. This platform underwent successful testing in user studies and in vivo animal trials. Giulio's research contributions have been widely recognized, with numerous publications in esteemed journals (Science Robotics, IEEE TBME and conferences (ICRA, IROS), along with prestigious awards such as the IEEE ICRA Best Paper Award in Medical Robotics (2016) and the Best Design Award in the UK RAS Surgical Robot Challenge (2019). He serves as Associate Editor for the IEEE Transactions on Medical Robotics and Bionics journal and is Associate Fellow of the UK Higher Education Academy.
Dennis Kundrat is a principal researcher and Head of Department in Medical Robotics and AI. At the Fraunhofer Research Institution for Individualized and Cell-based Medical Engineering IMTE, Lübeck, Germany, he leads two research groups on surgical AI and training technologies as well as robotics and automation in surgery. He was a senior researcher in Medical Robotics in the Robotics and Mechatronics (RaM) Lab at the University of Twente, The Netherlands and a research associate with the Hamlyn Centre for Robotic Surgery, Imperial College London, U.K., where he paved the way for novel MR-compatible robots for endovascular interventions. Dr. Kundrat graduated with a diploma and doctoral degree from Leibniz Universität Hannover, Germany, with a dissertation on a novel dexterous robotic endoscope. He was a visiting researcher at the Italian Institute of Technology and femto-st, France in the EU project uRALP. His research has been published in top-ranked journals (e.g., IEEE TBME and Science Robotics) and has received the Best Robotic Design Award in the Surgical Robot Challenge. At Hannover Medical School, he pioneered Germany’s first lecture on technology and knowledge transfer. His research interests include medical robotics, surgical navigation and imaging, as well as AI-assisted interventions in preclinical and translational evaluation.
