Winners Academic Awards 2017
Winner TU/e MSc Thesis Award 2017
We study the quantum-physical system of three interacting particles. During a collision, these particles may clump together and form special bound states, known as Efimov states. We show that the Efimov states and the universality associated with them can be understood from two-particle collisions influenced by a magnetic resonance.
Winner TU/e PDEng Thesis Award 2017
This project gives insights into the many challenges faced in designing an Environment Model by means of sensor synergy and sensor data fusion. The realization of an Environment Model enables automated and fully autonomous driving leading to increased road safety and reduced fuel consumption and CO2 emissions.
Winner PhD Thesis Award 2017
Dr. Sanders has developed analysis techniques and optimization procedures broadly applicable to large-scale complex systems. His focus was on probabilistic models of interacting particle systems, stochastic networks and service systems, all of which are large-scale and display fascinatingly complex behavior, in spite of the relatively simple rules governing their dynamics.