Master Assignments

Description

Master Students of the Master track Multi-Machine Engineering  are strongly advised to check Brightspace for detailed information about the MME Master Assignments. General information about the Master and information about a Graduation project at a Company can be found here. 

Master students who follow a different Master track or programme but are interested in pursuing a Master graduation project on the research topics of the SAFE-NET group may send an email to Vasso Reppa v.reppa@tudelft.nl. 

Available Topics

Literature Review Assignments

• ConOps for marine vessel operation

• Intelligent methods for marine vessel remote monitoring

• "Damen RD&I - Vessel control for autonomy". For other Damen assignments related to autonomous shipping technologies (sensing, AI, controls, HMI, simulation) can be found here.

• Improving the sensor fault isolation capability for autonomous vessels

• Navigational Sensor Fault diagnosis of an Autonomous Inland Vessel 

Master Graduation Projects

• Autonomous Surface Vessel Model Identification and Simulation

• Risk-aware control of Autonomous Surface Vessels

• Dynamic Coordination of Multiple Vessels and River Structures for Time-Efficient Inland Waterway Navigation

Master assignment topics will be announced regularly. In case that you want to work on a topic related to the main research lines of the group or relevant to topics shown in the "Master Graduation Projects & Theses", please contact Vasso Reppa v.reppa@tudelft.nl

Want to know more about our research? Take a look at the promotional video below:

Master Graduation Projects & Theses

Here is a list of Master Graduation Projects that we have been supervising. Interested to hear more about their projects and experiences? Read what Marcel van Benten and Mathilde Janssens tell us about!

• Raphael Ummels, “Scheduling Multi-Vessel Placement in Multi-Chamber Inland Waterway Locks Using Switching Max-Plus Algebra" (CUM LAUDE, DOUBLE DEGREE), Master Programme: Systems & Control and Mechanical Engineering (Master Track: Multi-Machine Engineering (In collaboration with the Delft University of Technology)

• Pedro Correia, "Relative Heave Measurement During Ship-to-Ship (STS) Transfer of Cargo", Master Programme: Mechanical Engineering, Master Track: Multi-Machine Engineering (In collaboration with Huisman Equipment BV)

• Marius van der Bend, “Assessment and Analysis of hook mounted compensation methods for offshore wind turbine blade installation’, Master Programme: Mechanical Engineering, Master Track: Multi-Machine Engineering (In collaboration with Huisman)

• Daniel Oudshoorn, “Collision avoidance of autonomous surface vessels considering proactive COLREG compliance”, Master Programme: Mechanical Engineering, Master Track: Multi-Machine Engineering

• Jurrian van Geest, “Integration of Condition Based Maintenance in the Preventive Maintenance Planning of Rolling Stock”, Master Programme: Mechanical Engineer- ing, Master Track: Multi-Machine Engineering (In collaboration with RiccardoRail)

• Gitte Hornung, “Hourly Traffic Density Based Decomposition in Non-Centralised Railway Traffic Management” (CUM LAUDE), Master Programme: Mechanical Engineering, Master Track: Multi-Machine Engineering (In collaboration with Transport& Planning Department CiTG and ProRail)

• Patroclos Pantela, “An integrated sensor and process fault diagnosis framework for marine vessels”, Master Programme: Mechanical Engineering, Master Track: Multi-Machine Engineering

• Marcel van Benten, “Mission-Oriented Modular Control of Retroffitable Marine Power Plants”, Master Programme: Mechanical Engineering, Master Track: Multi-Machine Engineering

• Mathilde Janssens, “Multi machine approaches for conflict resolution under moving block signalling” (CUM LAUDE), Master Programme: Mechanical Engineering, Master Track: Multi- Machine Engineering (In collaboration with Transport& Planning Department CiTG and ProRail)

• Mike Pesselse, “Modelling and Optimal Scheduling of Inland Waterway Transport Systems: A Switching Max-Plus-Linear Systems Approach”, Master Programme: Systems & Control, Delft University of Technology, The Netherlands In collaboration with DCSC Department)

• Matt Hepworth, “Collision Avoidance for Autonomous Inland Vessels using Stereovision” , Master Programme: Mechanical Engineering, Master Track: Multi-Machine Engineering

• Ahmed Nuur, “Performance prediction model for a Ship -to-shore crane” , Master Programme: Mechanical Engineering, Master Track: Multi-Machine Engineering, (In collaboration with Siemens Netherlands N.V.)

• Maurits van Pampus, “Roboat Formation Control: Sailing in Formation for Waste Transport using Roboat units”, Master Programme: Mechanical Engineering, Master Track: Multi-Machine Engineering, (In collaboration with Amsterdam Institute for Advanced Metropolitan Solutions)