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Electrical Engineering

Master´s programmes

Master's thesis projects

Electrical Engineering

Master's thesis projects

The diploma thesis work may be conducted within one of our research divisions, or within a company.
General guidelines, forms and instructions for Master's thesis

Interested in our student projects?
See our upcoming Master´s thesis presentations at Electrical Engineering

Available projects

At the department

(191119) Exploring a 5G measurement platform for medical diagnostics

(191111) Selfish or altruistic? New approach to automated driving

(190814) 5G localization and mapping with a single receive antenna

(190913) Radar communications for autonomous driving

(190918) Using AI to learn the behavior of complex systems efficiently

(190930) Vienna rectifier for wind turbine

(190930) Electric network reinforcement or local battery storage for electric vehicle charging stations

At companies

(191204) Statistical modelling for sensor fusion in Bayesian framework (Zenuity)

(191202) Wireless energy transfer in distributed MIMO systems (Ericsson)

(191127) Wearable sensor analytics (AstraZeneca)

(191126) Master's theses within Computer vision and machine learning (Irisity)

(191126) Anti-spoofing for face identification (Smart Eye)

(191126) Verification of vehicle control using subset simulation approach (Zenuity)

(191126) Verification of vehicle control using a set based approach (Zenuity)

(191122) An estimator for satellite orbits (SAAB)

(191121) Humidity dependence of silicon rubber-air interfaces for HVDC applications (ABB)

(191121) Resistivity in various insulation liquids with additives (ABB)

(191121) Experimental study on charging behavior along surfaces between air and polymeric materials inside HVAC cable termination (NKT)

(191121) Modeling and simulation on charging behavior along surfaces between air and polymeric materials inside HVAC cable termination (NKT)

(191120) Reduced CO2 by reinforcement learning (RL) (Volvo)

(191118) To build Web interface for Volvo Cars simulation platform (Volvo)

(191114) Automatic control applied on deep neural networks (Centiro)

(191114) Robustness assessment of a Volvo route prediction technology in test fleets (Volvo)

(191113) Deep learning for mass spectrometry (AstraZeneca)

(191113) Formal verification of electric vehicle charging software (Volvo)

(191107) Supervisory control for autonomous drive (Volvo)

(191030) Low-speed motion control for a tractor/dolly (Volvo)

(191029) Robot-assisted surgery system for orthopedics (Ortoma)

(191022) Data driven modelling for lifetime estimation of High voltage battery systems (CEVT)

(191021) Computer vision and machine learning techniques for classification and tracking of moving objects in factory (Volvo)

(191021) Quality inspection using machine learning techniques for pose estimation (Volvo)

(191021) Measuring the signal strength of 4G/5G/Wifi in Göteborg districts in real driving conditions (Tindrive)

(191016) Utvärdering av reglerstrategier för optimerad turbin/ångnätsstyrning (Solvina)
(191016) Modellreducering av pannmodeller (Solvina)

(191016) Virtual power plant (Solvina)
(191016) Automatic frequency response measurement (Solvina)
(191014) 9 Process Control projects at Frövi/Rockhammar paper and pulp and paper mill
(191007) Collaborative Robot Application Based on Machine Learning

(190815) Hybrid beamforming for future mm-wave access in mobile communication

(190904) Analyze the integration of a wireless battery management system

(190909) Modeling and simulation of customer behavior

(190912) Deep learning and big data analytics with application to building hazardous material characterization

(190912) Artificial intelligence by means of deep learning for radar-based road-surface monitoring

(191001) Viscando: Some proposals for diploma projects

(191001) Intelligent safety systems: a threat-assessment system based on supervised deep learning for autonomous collision avoidance

(191003) Damper property identification

(191003) Influence of signal delay and accuracy, of sensor information and road preview, on the performance of semi-active and active dampers and controller design

Published: Tue 14 Aug 2012. Modified: Wed 04 Dec 2019

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Apply for Challenge Lab

Master’s students from all disciplines are invited to apply to Challenge Lab - to take on the planet's biggest challenges together with industry, government and academia.