ir. Bas Generowicz

PhD-Candidate
Erasmus MC

Biography

I am a reliable, curious and practical Electrical Engineer with a keen eye for programming and a strong background in linear algebra. After having completed my MSc. in the Signals and Systems track, I became a PhD researcher at the Erasmus MC working on imaging blood motion in the brain using Doppler ultrasound.

It is my hope during my PhD, to advance the field of Doppler ultrasound using advanced signal processing techniques. My work at the Erasmus MC is done in close collaboration with the Circuits and Systems group at the TU-Delft, and a group of talented neuroscientists at the Erasmus MC.


Education

  • MSc. in Electrical Engineering, 2018
    Signals & Systems track
    Delft University of Technology
  • BSc. in Electrical Engineering, 2015
    Delft University of Technology

Interests

  • Chess
  • Bread Baking
  • Electronics
  • Tennis
  • Piano


Projects



Contributor to OpenNeurosurgery.com


Moderator of a module on Laser Doppler Flowmetry (LDF), a Doppler-based optical imaging technique. Read more over at OpenNeurosurgery.com





Experience


Erasmus MC


PhD Candidate
2019 – Present
I am a PhD Candidate at the department of Neuroscience at the Erasmus MC, working on applying signal processing techniques to the field of Doppler ultrasound imaging of the brain.


MSc Thesis
2018 – 2019
My thesis titled “Improving ultra-fast Doppler imaging using advanced signal processing” is a collaborative effort between the Circuits and Systems Group from the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the Delft University of Technology and the Neuroscience department at the Erasmus MC.


Python Course Teacher
Jan 2018
Planned and taught part of an intensive 3 day Python course at the Erasmus MC. The intention of the course was to prepare students of the Molecular Medicine postgraduate school to use Python to analyse and process data.


Research Intern
Sep 2017 – Dec 2017
I worked on the setup of a new ultrasound acquisition ecosystem used for Doppler imaging of the brain. Using Python and MATLAB, I developed tools to help the neuroscientists better interpret the ultrasound data.


Croon


Sustainable Innovation Intern
2015 – Feb 2016
For my final year internship of my BSc. Electrical Engineering I worked at the research and development branch of Croon Elektrotechniek. During this time I investigated the viability of implementing smart energy solutions such as smart grids, localized energy storage, and sustainable energy generation.



Education



MSc. Electrical Engineering
(Track: Signals & Systems)
Delft University of Technology
2016 – 2018

Thesis: “Improving Ultrafast Doppler Imaging using Subspace Tracking”.

Subjects focussed on:

  • Signal processing
  • Medical imaging

BSc. Electrical Engineering
Delft University of Technology
2010 – 2015

Thesis: “Heart Rate Monitoring using Adaptive Noise Cancellation”.

Subjects focussed on:

  • Signal processing
  • Sustainable energy
  • Electronics
  • Computer science
  • Networking

International Baccalaureate
The International School of The Hague

Bilingual Diploma (English/ Dutch)



Professional Skills



MATLAB



Python



C++



Databases

SQL, PostgreSQL



Web Design

Html, CSS, Hugo


Publications


Vector Doppler imaging of small vessels using directionally filtered Power Doppler images

Read More...

Efficient and flexible spatiotemporal clutter filtering of high frame rate images using subspace tracking

Read More...