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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

(201022) Solution methods for sequentially connected 2D assignment problems with application to multi-object tracking

(200925) Robust controller synthesis for cyber physical systems

(200917) Automotive driving security: Risk assessment of radar communications

At companies

(201030) Development of machine-learning algorithms for non-invasive single-cell manipulation (Lucero)

(201028) Parameter estimation of system of ODEs using dynamic mode decomposition (Viking analytics)

(201028) Identification of rotational speed using stochastic resonance (Viking analytics)

(201028) Automated feature engineering for active learning (Viking analytics)

(201028) Safety of new e-vehicles for personal mobility (Autoliv)

(201026) Safety assurance of self-driving vehicle through formal scenario-based simulation (Zenuity)

(201026) Digital twin modeling and simulation using FMU/FMI (Volvo GTO)

(201023) Automatic geometry check and fault prediction (HEDA)

(201022) Using synthetic data and CNNs for dynamic quality inspection (Volvo GTO)

(201022) 3D object detection (Zenseact)

(201022) End-to-end 3D lane detection (Zenseact)

(201022) Detailed instance segmentation of objects in sequences (Annotell)

(201022) Radar based-in-vehicle health monitoring (Autoliv)

(201019) Formation control of autonomous transport robots (Volvo GTO)

(201019) Machine learning for semantic segmentation in a factory (Volvo GTO)

(201016) Vehicle speed estimation at all-wheel spinning conditions (Volvo Cars)

(201016) Numerical optimization methods for improving energy efficiency of battery electricvehicles using wheel torques and steering angle (Volvo Cars)

(201016) Machine learning for driver behavior classification (Volvo Cars)

(201016) Optimal energy management of BEV powertrain (Volvo Cars)

(201016) Prediction of energy consumption for battery electric vehicles (Volvo Cars)

(201015) Interpolation between linearized neural networks (Centiro)

(201015) Real digital twin for AI-powered optimization (AFRY)

(201015) Enabling digitalization with DES (AFRY)

(201015) Robot bin-picking (Volvo GTO)

(201013) Verification of trajectory planning through formal scenario-based simulation (Zenuity)

(201009) Model based catalyst control for gasoline engines (Volvo Cars)

(201007) Provoke a robot to perform dangerous moves using machine learning (ABB)

(201006) Evaluation of a fragrance system to counter sleepiness at the wheel (VTI)

(200930) Deep learning sensor fusion object detection (Denso)

(200930) Battery storage for grid support and charging in ports (DNV GL)

(200924) Load balancing in integrated access and backhaul networks using machine learning (Ericsson)

(200924) Simultaneous transmission and reception in integrated access and backhaul networks (Ericsson)

Published: Fri 30 Oct 2020.

Apply for Challenge Lab

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.