Patricia is a PhD fellow in Computer Science at the University of Rey Juan Carlos (URJC,ES) and a researcher at GMV in Spain working on the RAINBOW project titled “Optimization-Based Fusion of Surgical Planning Data for Intraoperative Navigation”. She obtained her master’s degree in Medical Physics from Université Paris Sud in 2019. She also obtained her bachelor’s degree in Biomedical Engineering from Polytechnic University of Valencia in 2016. Focusing on the field of intraoperative navigation, her work within the RAINBOW project involves optimization for fusion of preoperative planning data by biomechanical simulation and development of virtual deformable models.
Thomas is a PhD fellow at the University of Copenhagen (UCPH) and enrolled in UCPH Science Doctoral School. He is working on the RAINBOW project titled "Simulaion Constrained Image Registration". Thomas obtained his Bachelor of science degree 2017 in Biomedical Engineering at University of Applied Sciences in Regensburg, Germany, with focus on experimental biomechanics. He continued his studies at University of Applied Sciences in Regensburg, Germany, and obtained his Master of science degree 2019 in Medical Engineering, with focus on computational biomechanics and gait analysis. The Master thesis evaluated the stress center movement in the tibial epiphyseal plate of cerebal palsy patients during walking, using methods of motion capture, musculoskeletal computation and FEA. Thomas Alscher is elected ESR representative to the supervisor board for Spring 2019 and Spring 2020.
Saurabh received his integrated bachelor's and master's degree in mechanical engineering from IIT Madras, India. Currently, he is a PhD fellow in department of Computational and Data Sciences at the University of Luxembourg, he is being supervised by Prof. Stephane Bordas. Within the scope of RAINBOW framework, he is working towards the development of data-centric numerical models to simulate soft tissue cuts in real-time; with its particular applications for eye surgery. Before joining RAINBOW, he has worked for the Indian Space Research Organisation as a scientist/engineer for two years. Additionally, Saurabh is passionate about sports, music, and entrepreneurship.
Torkan is a PhD fellow in Computer Science at the University of Copenhagen and a researcher at 3Shape A/S in Denmark working on the RAINBOW project titled Dynamic Jaw Simulator. She obtained her master’s degree in Computer Engineering from Istanbul Technical University in 2018 where she developed machine learning and computer vision algorithms for sensory substitution systems. She also obtained her bachelor’s degree in Information Technology from University of Tabriz in 2014 working on object detection in visual sensor networks. Focusing on the field of medical image analysis, her work within the RAINBOW project involves modeling tooth movement based on fusing spatiotemporal, interface-tracking meshing methods with 3D geometry and motion data obtained from the 3Shape TRIOS intraoral scanners.
Zhongyun is a Ph.D. fellow in the Multimodal Simulation Lab (MSLab) under the Department of Computer Science of URJC. He has been trained as a biomedical engineer under the cooperative master program of Vrije Universiteit Brussel(VUB) and Gent Universiteit (Ugent). He accomplished his master dissertation in the university hospital of Leuven (UZ Leuven) and VUB on the topic of the proton therapy. In the rainbow project, his research will mainly focus on the development of toolkits for real-time biomechanic simulation, which is intended to be applied to surgical planning.
Christos is a PhD fellow in the Multimodal Simulation Lab (MSLab) in the Department of Computer Science of URJC. He obtained his Diploma in the Aristotle University of Thessaloniki in the Department of Mechanical Engineering in 2017. In 2018 he was working as a Research Assistant in the Machine Dynamics lab of AUTH. In the rainbow project, his research will mainly focus on the inverse modelling of the spine for scoliosis brace design.
Vasilis is a PhD student at the university of Cardiff and he is also working as an R&D engineer at Synopsys. He is working on the RAINBOW project titled "Data-driven multiscale computational modelling in biomechanics", where he tries to combine machine learning techniques with the sophisticated image processing and mesh generation software of Synopsys towards performing cost-effective crack propagation simulations on soft and hard tissue. He obtained his Diploma degree from the School of Chemical Engineering at the National Technical University of Athens. His Diploma Thesis belongs in the field of wetting and focuses at the improvement of supehydrophobic surfaces through surface patterning using numerical methods. During the last year of his Diploma studies, he competed at the international synthetic biology competition iGEM as part of the iGEM Athens 2018 team, where as head of the dry-lab performed MFE secondary structure calculations and used neural networks to create riboswitches with optimal functionality for the detection of the MERS virous.
Arnaud is a PhD fellow in Computer Science at the University of Luxembourg and a researcher at Anatoscope Montpellier in France. Within the scope of the RAINBOW project, he will study the “Breast modelling and simulation for better cancer treatment". He obtained his master’s degree in Mechanical and Interactions Engineering from Ecole Polytechnique universitaire de Montpellier in 2018. Focusing on the field of real time simulation, his work within the RAINBOW project involves breast modelling to patient specific data followed by biomechanical simulation to switch from prone to supine position.
Ehsan Mikaeili graduated in civil engineering from Sharif University of Technology, Tehran, Iran in 2016 . His researches focus on computational solid mechanics and poro-mechanics, image registration and developing advanced numerical techniques in biomechanics.
Faezeh Moshfeghifar is a biomedical engineer focused on image-based numerical modeling and analysis. She completed her master's degree in Biomedical Engineering at the KU Leuven working on the biomechanical characterization of human mitral valve. Within the scope of the RAINBOW project, she will study the potential of computational medicine and ICT to arrive at patient-specific hip models for clinical use.
Antoine is a PhD student at University of Luxemburg hosted at Synopsys. He is working on one of the two RAINBOW projects at Synopsys titled « Goal-oriented Error Controlled Super and Sub-geometric Finite and Boundary Element Methods for Patient-Specific Simulation of Cutting ». He obtained his master’s degree in Pure Mathematics from The Université de Franche-Comté in 2018. He continued his studies at Université de Franche-Comté specializing in Numerical Analysis in 2019.
Hamed Shayestehpour received the BS and MS degrees in Mechanical Engineering from Sharif University of Technology, Tehran, Iran in 2015 and 2017, respectively. His research interests include Biomechanics, Biomedical and Rehabilitation Engineering, Design, Simulation and Modelling. His hobbies are sport, painting and travelling.
José Tascon received his B.S. of Electronics Engineering in 2010, and M.Eng major in Automation in 2014 from Universidad del Valle, Colombia. His master thesis "Floor plans from 3D reconstruction of indoor environments" dealt with registration problems with RGB-D cameras. In 2015, José joined the Colombian Sugar Cane Research Center (Cenicaña), where he worked as a research leader in process control of sugar mills. He also worked as a lecturer in 2015 of digital signal processing at Universidad ICESI, Colombia. His work experience and research interests are computer vision, industrial automation and process control. Within the scope of the RAINBOW project, he will be working on his project “Real-time Physically-based Registration of Pre- and Intra-operative Medical Images", within the area of registration problems in computer vision
Milad holds a master degree in Mechanical engineering from Sharif university of technology. He currently pursues his PhD at University of Luxembourg. Milad is working on "Identifying Patient Specific Material Models and Parameters using Adjoint-based Inverse Modelling approaches: Model selection and parameter identification on phantom gels".