Available masters and doctoral projects

The student will develop algorithms to sort and classify particles of varied size and inertia in a turbulent fluid, by image processing and analysis of their trajectory.

Algae, cultivated at the Blue Lagoon is currently being harvested in sedimentation tank. This is a slow process and a portion of the algae, too fine for rapid sedimentation, is lost. The aim of the project is to build an electrical device that can charge the surface of the algae causing it to flocculate and thus ease the harvesting.

Various MSc and PhD topics in the field of environments engineering and sustainable development are available. Many projects will be carried out in collaboration with Icelandic or international partners. The topics cover the following areas:

• Modelling of water resources
  
• Low carbon technology projects
  
• Renewable energy production
  
• Environmental impacts studies
  

The purpose of the project is development of a set of algorithms for design optimization of planar microwave structures using Matlab and full-wave electromagnetic simulation software package Sonnet em. It involves development of Matlab-Sonnet interface, procedures for automated construction of the electromagnetic simulation models, optimization algorithms, as well as a GUI-based toolbox. Verification of the framework using real-world design problems for a set of microwave components (filters, couplers, etc.) is also included.

Array antennas play an important role in communication systems. One of the design issues is synthesis of a required radiation pattern (typically to ensure low side lobe levels), which is challenging when realized at the level of high-fidelity electromagnetic simulation models. In this project, the purpose is development of fast design optimization techniques based of response feature principles and multi-fidelity simulation models.

Design closure of high-frequency structures is a challenging task due to, among others, high computational cost of electromagnetic (EM) simulation necessary for reliable evaluation of such structures. The purpose of the project is to adapt the adaptive response scaling (ARS) technique for computationally-efficient design optimization of narrow- and multi-band antennas. ARS has been developed for optimization of microwave components and requires fast equivalent circuit models as auxiliary low-fidelity models. Under this project, ARS will be generalized to be used with multi-fidelity EM models and applied for a particular class of antennas.

Data-driven surrogate models play more and more important role in contemporary engineering design. Standard design of experiment techniques are limited to regular domains (hypercubes), whereas, in many practical applications, the model domain is constrained leading to irregular set over which the sets of training samples need to be distributed uniformly. The purpose of the project is to develop procedures for uniform sampling in constrained domains and apply these procedures for real-world modeling problems in the area of high-frequency electromagnetics.