People
Vacancies
PhD position: Design, Optimisation and Control of Innovative Battery Systems in Power, Propulsion and Energy Systems on Board of Ships. - Apply/Job details.
PhD position: Health-Aware Energy Management of Maritime Batteries and Fuel Cell Systems for Zero-Emission Ships - Apply /Job details.
PhD position: Fuel Cell State of Health Assessment for Zero-Emission Ships - Apply/Job details.
PhD Students
PhD title: Operational Data in Shipping.
In a nutshell: Sietske is a naval architect, graduated cum laude from Delft University of Technology, with the development of a ship maintenance model based on cost and failure behaviour. She is currently doing her PhD research, with the Department of Maritime and Transport Technology, into the effective use of operational data from vessels for future proof ship operation and design.
PhD title: Data-driven solutions to enhance Planning, Operation and Design tools in Industry 4.0 context.
In a nutshell: Davide's research is focused on developing Machine Learning and Artificial Intelligence Data-driven models to improve the computational performance of state-of-the-art Industrial tools commonly exploited to cope with Planning, Operation and Design tasks. Moreover, it aims at getting closer Industry and Research worlds, in compliance with emergent Industrial Artificial Intelligence and Industry 4.0 fields.
PhD title: Data-driven and hybrid models for the underwater radiated noise of cavitating marine propellers.
In a nutshell: Miltos's research focuses on the development of a combined data-driven and physics-based methodology for the noise prediction of cavitating marine propellers, using strictly information available at the early stage design process, that is at least as accurate as, and computationally cheaper than, current state-of-the-art CFD methods.
PhD title: Energy Management and Power System Control for Zero Emission Ships.
In a nutshell: Timon’s research deals with the control in shipboard power systems incorporating innovative power generation and energy storage technologies. An emphasis lies on zero-emission technologies, e.g. fuel cells, batteries and renewable energies, as well as DC distribution technology. A central aim of his work is the development of real-time control strategies that achieve a stable and efficient coordination of power system components under consideration of their differing characteristics.
PhD title: Intelligent Power and Energy Management System for DC Energy Distribution Systems for Methanol-Fuelled Ships.
In a nutshell: Charlotte’s research focuses on the development of advanced optimal control strategies for vessel power and energy systems incorporating internal combustion engines, batteries and fuel cells. This includes the integration of multiple objectives in the optimization of the energy system operation and the usage of operational data in data-driven control strategies.
PhD title: Nonlinear Dynamics of Nonsmooth Systems for Energy Harvesting and Engineering Applications.
In a nutshell: Nonsmooth dynamical systems represent a very wide class of mechanical structures with continuous and continuous-smooth piecewise properties (e.g. systems with free-play gaps). Although nonsmooth systems are becoming a common representation of industrial products, the knowledge about their dynamics and, more importantly, the associated potential/danger for engineering applications is still in its infancy. Cristiano's research focuses on investigating complex dynamics phenomena such as isola, backbone bifurcations, internal resonances that may arise in piecewise nonlinear systems and how these complex behaviours may affect the design of the mechanical systems and energy harvesting solutions.
PhD title: Development of operation and maintenance strategies for future offshore wind farms.
In a nutshell: Operation and maintenance costs make up a significant portion of offshore wind’s energy cost – making it a key area for cost reduction. This research is focused on optimising operation and maintenance procedures for offshore wind by creating and developing new strategies with consideration of market factors which can influence the process. This work is focused on floating offshore wind and novel turbines such as the multi-rotor system.
PhD title: Optimal designs for the energy systems of hydrogen-fueled vessels.
In a nutshell: Foivos's research is aimed at developing optimal energy systems, for hydrogen-fuelled vessels, in terms of topology and sizing, considering various optimization objectives such as cost, emissions, and energy consumption. Foivos will investigate various algorithms for multi-objective optimization problems of different vessel types. Surrogate data-driven models will also be used to reduce the computational complexity and simulation time without sacrificing accuracy.
PhD title: Ocean waves induced vibration energy harvesting.
In a nutshell: Jane's research focuses on finding suitable ways of capturing high entropy kinetic ocean waves and harvesting them using a conversion technique involving mechanical vibrations. A novel approach involving fluid-structure interaction and vibration conversions is considered in this research.
PhD title: Parameterization and Shape optimization of a Spar platform Floating Offshore Wind Turbine.
In a nutshell: Adebayo's research focuses on parametric freeform curves for shape optimization of a spar floating offshore wind turbine (FOWT) platform within a multidisciplinary design analysis and optimization framework. His research aims to develop a novel design framework that will allow the exploration and analysis of unconventional floating support structure geometries optimized specifically for FOWT requirements.
PhD title: Hydrogen Fuel Cell-based Vessels: Data Analysis and Analytics for Control and Condition Monitoring.
In a nutshell: The research focuses on developing tools, exploiting state-of-the-art Machine learning-based techniques to define data-driven models and optimal model predictive control strategies to translate the raw data into knowledge and assist in the implementation of optimal control strategies towards zero-emission propulsive solutions. Esma earned her M.Sc. in Applied Mathematics from the Delft University of Technology and is passionate about employing mathematical models to solve greenhouse gas-related problems.
PhD title: Efficient Multidisciplinary Design Analysis and Optimisation of Floating Offshore Wind Turbine support structures.
In a nutshell: My research aims to reduce uncertainty in the design process of Floating Offshore Wind Turbine support structures, through development of a comprehensive methodology for Multidisciplinary Design Analysis and Optimisation that is able to accurately and efficiently represent a fully coupled dynamic system and its interaction with environment. The research applies numerical modelling, data-driven methods and design optimisation.
PhD title: Development of cost and dynamic aware multi-objective optimisation framework for floating offshore wind support structures towards cost-effective energy.
In a nutshell: Victoria’s research focuses on developing an optimisation framework for floating offshore wind support structures. The Floating platform accounts for roughly 30-40% of the capital cost, and it is an area where reductions could be beneficial. A multi-objective optimisation framework is developed, allowing considerations for improved cost and performance models, allowing the most optimal floating offshore wind platform to be found, creating cheaper and more competitive energy for the user.
PhD title: Dynamic Behaviour of dual-fuel methanol engines through injection pressure, timing and (mixed) injection locations.
In a nutshell: Jasper's research is focused on engine performance assessment under transient conditions for internal combustion engines running on methanol.
Jasper's focus is on the air-path processes with a particular interest in the turbocharger performance to examine the transient behavior of the engine running on different fuels, with different injection locations and strategies and within different propulsion plant layouts.
PhD title: Hybrid Modelling Approaches for Predictive Maintenance of Primary Vessel Systems: A case study on the Holland Class Offshore Patrol Vessels.
In a nutshell: Iliya's research focuses on developing hybrid modelling methodologies to combine the accuracy, speed, and flexibility of data-driven methods with the physical knowledge of first-principle models to build state-of-the-art decision-support tools for use in a Condition Based Maintenance environment. The main aim of the research project is to develop a set of real-time performance evaluation tools, as well as short-term forecasting models, which can be used to supplement a maintenance strategy, reducing maintenance loads and crew requirements.
PhD title: Energy performance assessment of ships: An operational data-driven approach.
In a nutshell: Nikos is a PhD candidate with the Department of Maritime and Transport Technology at the Delft University of Technology, working towards the sustainable design and operation of ships. His research focuses on methodologies that combine operational data-driven and physical models in assessing and enhancing the energy performance of marine energy systems.
PhD title: Artificial Intelligence-Based Solutions for the Design and Optimisation of Hull Forms.
In a nutshell: Jake M Walker is a Ph.D. candidate in the Department of Maritime and Transport Technology at Delft University of Technology where his primary focus is the development of Artificial Intelligence-based solutions to the design and optimization of hull forms. He received his MEng in Mechanical Engineering from the University of Strathclyde in 2020 and has a keen interest in the application of Artificial Intelligence to address problems facing the maritime industry.
PhD title: Trustworthy and Reliable AI in industry applications.
In a nutshell: Stefano’s research focuses on physics-informed methods for digital twin modeling, aiming to match the high accuracy of the data-driven models with the systems’ physical knowledge. The goal of Stefano’s work is to develop new tools leveraging trustworthy and Reliable AI for engineering applications.
PhD title: Simulation and Analysis of Sustainable Methanol-fuelled Marine Internal Combustion Engines.
In a nutshell: Konstantinos’s research focuses on the simulation and analysis of sustainable methanol-fuelled marine internal combustion engines using 3D Computational Fluid Dynamics modelling. Part of his research interests includes methanol sprays, in-cylinder combustion, and emission formation modelling.