Arpad Marinovszki

Arpad Marinovszki's picture

Contact

Arpad
Marinovszki
Email: 
arpad.marinovszki[at]uantwerpen.be
Phone: 
+32 3 265 28 40

Personal

Biography: 

BSc

2011 - 2014
Physics, specialized in applied physics
Budapest University of Technology and Economics
Hungary

In my BSc thesis I studied a GPU based PET reconstruction software with a focus on evaluating reconstruction quality in the function of parameters and applied techniques.

MSc

2014 - 2016
Physicist, specialized as a medical physicist
Budapest University of Technology and Economics
Hungary

Since I was specializing as a medical physicist, I am highly skilled in radiation protection, radiation treatment planning and medical imaging. In radiation protection, I acquired an intermediate level, legal certificate 'Bővített sugárvédelmi vizsga'. I did a 3 week internship at the National Institute of Oncology (Budapest), where I was creating external beam therapy plans and did quality assurance measurements.
As a Msc thesis I wrote a software for automatic geometry estimation of a micro-CT device, based on projections of a calibration phantom that consisted of metal balls and a PMMA base.

Work

2016
Skawa Innovation Ltd
Budapest, Hungary

In 2016, from February to September I was working at SKAWA Innovation Ltd where I was developing algorithms to compare images from the internet, with a special focus on comparing images with watermarks and company logos.

PhD

2016-

From September 2016, I am a PhD student at the Vision Lab, University of Antwerp, Belgium.

Interests

Besides physics, I have a passion for computer science: In my projects above, I've been working with C++, CUDA, MatLab, Qt, JAVA, MySQL, Python, Keras programming languages / software environments.

I am mainly interested in image processing, using conventional and machine learning approaches.

Research

Researching if anybody actually reads this field.
If you do, send me an email. :)
E-mail counter: 2

In my PhD research, I am developing the methodology and the algorithms of ultra fast X-ray image acquisition and processing framework, using in-line (conveyor belt) geometry and 3D model of the scanned objects as a prior knowledge, with a focus on inspecting man-made products individually.

Teaching

Teaching activities: 

Reconstruction techniques in medical imaging for MSc students: 2016/17/1
Training School on Algebraic Reconstruction Methods in Tomography (ASTRA Toolbox): 2017 April