MARIJA VELLA
EDUCATION
PhD in Electrical Engineering at Heriot-Watt University 2018 - 2021
Funding: Fully funded by Heriot-Watt University
Project: Reliable Image Reconstruction Techniques: Enforcing Measurement Consistency in Deep Learning Methods
Supervisors: João Mota (primary) and Colin Rickman (secondary)
Research areas: Image Processing, CNNs, supervised learning, ADMM, optimisation
PhD thesis: Reliable Image Reconstruction Techniques: Enforcing Measurement Consistency in Deep Learning Methods
MSc. in Quantitative Finance and Mathematics at Heriot-Watt University 2017 - 2018
Funding: Full scholarship from the Scottish Funding Council and Endeavour Scholarship Scheme
Graduated with a distinction
Subjects taken:
- Derivatives markets and pricing
- Time series analysis
- Portfolio theory
- Data mining and machine learning
- Modelling and tools
- Financial econometrics
- Stochastic simulation
- Industry research
MSc thesis: Machine learning Factor Analysis in collaboration with Moody's Analytics
B.Eng in Electrical and Electronic Engineering at the University of Malta 2013 - 2017
The course included three main streams of engineering: electronics, control engineering and power. The first two years was
composed of compulsory subjects from these streams and also mathematics and statistics. In the third year I focused on
control engineering. Also completed various coursework including the development of a brain-controlled interface for a TV set,
designing the power requirements for a building, micro-controllers and coding mini-games with C++.
Thesis: An IoT solution for Traffic Light Control
Extracurricular activities: an active executive member of the University Engineering Student's Association (UESA)