My name is Servaas and I am currently pursuing a degree in Computational Science and Engineering at ETH Zurich. I also have a strong background in Aerospace Engineering, with a Bachelor's degree from Delft University of Technology. I co-founded Bladesense, a startup that develops digital twins for the aerospace industry. If you would like to see some of my projects, please check out my portfolio.
At Bladesense we develop the technologies to make digital twins accessible to the aviation industry.
In my CSE studies, I am deepening my knowledge of mathematics and computer science with applications in robotics and machine learning.
One-year bridging programme to the master Applied Mathematics at TU Delft. GPA 7.6/10
At Bladesense, we push the boundaries of reality capture in order to apply it in the aerospace industry. The current state of the art in reality capture is moving ever more in the direction of full light field reconstruction. To be at the forefront of this trend, I explored the forward rendering part of this equation in the ETH Advanced Computer Graphics course.
View ProjectThe team behind the graduation project "Swarm of Aircraft Inspection Drones" got the opportunity to implement the algorithms we developed in a real-world swarm of drones. We built a 40-drone swarm with real-time collision avoidance, behavior planning for 24/7 operation, inspection capabilities, and human interaction. During this project, I developed the collision avoidance and human interaction. Two members of the team are taking this project further as a startup called Emergent Swarms.
View ProjectI developed a simulation of an aircraft inspection performed by a swarm of drones. This simulation included full 6DOF drone kinematics, outer loop drone control, drone camera simulations, pathfinding, and collision avoidance. The project was awarded the 2500 euro NLF Aerospace WO Technical Award.
View ProjectI worked on a team to develop a numerical model of fishing nets using a two-way non-linear cloth simulation. My specific responsibility was to implement the fluid simulation in OpenFOAM. We developed a highly efficient simulation that accurately modeled the behavior of fishing nets in 3D and were able to generalize an approach in the literature to work for arbitrary net shapes. Through this project, I gained valuable experience with OpenFOAM.
View ProjectLennart Bult and I are designing and building a thrust vector controlled drone to autonomously replicate the flight profile of a Starship test flight, including the belly flop and landing. The drone is controlled using a gimballed counterrotating propeller setup. For indoor positioning, we developed our own camera triangulation system. We are currently working on an outer-loop control system, simulation and validation of the belly flop maneuver, and the aerodynamic design of the drone.
View Project