Jelmer Braaksma received his BSc and MSc in 2003 in electrical engineering from the Delft University of Technology (TU Delft), the Netherlands. He is currently employed at the Delft Center for Systems and Control, Mechanical Engineering Department, TU Delft where he is doing his PhD research on artificial intelligence for the trailing suction hopper dredger in cooperation with IHC Systems.
Articles By Jelmer Braaksma
Estimating the Immeasurable: Soil Properties
This IADC Award-winning paper tackles the problem that knowledge of soil properties is essential for an efficient excavation process, but measurement equipment is complex and expensive. Estimation methods using simulators may be the solution.
A Computationally Efficient Model for Predicting Overflow Mixture Density in a Hopper Dredger
Creating accurate models for the prediction of overflow losses by trailing suction hopper dredgers is an invaluable tool in determining the feasibility of land reclamation.