For more information, contact firstname.lastname@example.org
We develop novel simulation models and algorithms in computer graphics. We often combine them with optimization methods to produce design solutions in various settings: clinical applications, computational fabrication, virtual touch, or fashion. We aim to bridge the real and the virtual, producing simulation results of stunning quality that allow us to understand and design reality. Check our web page.
6 students as 1 st authors of ACM Trans. on Graphics papers. Check out the latest one, cover image of the ACM SIGGRAPH Asia proceedings 2017.
Student paper/presentation awards at I3D, SCA, WHC.
Seniors with high scientific profile.
Many industry and academic collaborations. Check our publications.
The MSLab at URJC Madrid will participate in 3 exciting projects in the network of RAINBOW. All 3 projects will share some common grounds:
This project will research computational methods for the design of personalized clinical devices. We wish to provide solutions for this complex task that maximize automation and ease of use. This will encompass the design of methods to infer biomechanical models directly from medical images, development of fast-simulation approximations of biomechanics, and definition of optimization algorithms that search the space of device designs. In addition, the solutions will include intuitive interfaces for design specification.
Scoliosis brace design will be our reference example, including others.
Check our previous research on computational design methods for flexible objects:
Planning of surgical interventions implies deformations and topological changes to anatomical models. To access such information during surgical interventions, the anatomical models must be transformed to the time-varying configuration of the patient. This problem is connected to two other problems often addressed in computer animation and computer vision: animation control and vision-based non-rigid model estimation. However, these connections have not been explored to date.
This project will research animation control and non-rigid model estimation methods for the fusion of planning and sugical anatomy. They will be based on efficient deformation models, mechanical model estimation, and optimization methods.
Check our previous research on efficient fluid simulation methods:
This project is inspired by the ambition of empowering clinicians with the ability to inspect and interact with medical volume images (CT-scans or MRIs) in a tangible manner, much like they would do with a physical body. The project will cover efficient yet accurate biomechanical models to enable interactive manipulation and topological changes to medical images, as well as tangible interaction methods. The result will allow users to manipulate such medical images directly with their hands.
Tangible manipulation and cutting operations on touchscreens will be the reference example.
This work will build on our knowledge on efficient deformation models and tangible interaction methods:
We seek candidates that can demonstrate excellent training on computational sciences, numerical methods, simulation methods and/or computer graphics, and who wish to develop highly innovative research in these areas, applied to medical settings.
We offer 2 positions for 3-year PhD contracts starting April 1, 2019
The economic conditions are set by the MSCA European Training Network program, with a gross annual pay of 32,221€.
In case of elegibility for family allowance, the gross annual pay increases to 34,437€.
The application process is open and ends on September 25, 2018
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 764644