CV

  1. Education
  2. Research
  3. Grants and Awards
  4. Publications
  5. Talks
  6. Teaching
  7. Advising
  8. Service
  9. Outreach

Education

Ph.D. in Computer Science, Delft University of Technology, 2011-2015

  • Thesis: Dissimilarity-Based Multiple Instance Learning
  • Advisors: Prof. dr. Marco Loog and Dr. David M. J. Tax

M.Sc. in Computer Science, Delft University of Technology, 2008-2010

  • Thesis: Random Subspace Method for One-Class Classifiers
  • Advisor: Dr. David M. J. Tax

B.Sc. in Computer Science, Delft University of Technology, 2004-2007

International Baccalaureate, International School of The Hague, 1999-2004

Research experience

Assistant professor, Eindhoven University of Technology, 2017-current

Postdoctoral researcher, Erasmus Medical Center, 2015-2016

Visiting researcher, MPI Intelligent Systems, Tübingen, Germany, 2013

Ph.D. researcher, Delft University of Technology, The Netherlands, 2011-2015

  • Part of Pattern Recognition Laboratory
  • Project: Dissimilarity-Based Multiple Instance Learning
  • Advisors: Prof. dr. Marco Loog and Dr. David M. J. Tax

M.Sc. intern Prime Vision, Delft, The Netherlands, 2010

  • Project: Outlier detection in postal images

Programmer (part-time), 2006-2010

  • Various projects in website development (Dreamsolution), software testing (Tjip) and others

Grants and awards

Recipient NVIDIA GPU Grant

  • Project “Classification of lung nodules in chest computed tomography imaging by using deep learning methods on novel spectral CT data”
  • Titan XP GPU worth USD 1149.99

Shortlisted for Publons ECR Reviewer awards 2018

Shortlisted for Techionista awards 2017

Winner Lorentz-eScience competition, 2017

  • Workshop “Crowdsourcing for medical image analysis”
  • EUR 15K

Winner Pallas Ludens Academic Challenge, 2016

  • Project “CRAVE: Crowdsourcing for Airway and Vessel Extraction”
  • EUR 5K

Finalist STW Open Mind Award, 2015

  • Project “Game for crowdsourcing medical image analysis”
  • Top 15 of 132 applicants.

Travel scholarship Delft University of Technology, 2013

  • Visited MPI Intelligent Systems in Tübingen, Germany for 3 months
  • EUR 2.5K

Travel scholarship ACM-W/Microsoft, 2013

  • Visited Multiple Classifier Systems conference in Nanjing, China
  • EUR 1.2K

Member of merit award, W.I.S.V. `Christiaan Huygens’, 2009

  • Recognized for my contribution to the society for mathematics and computer science students.

Publications

As of September 2018, I have published 8 journal articles, 16 peer-reviewed conference publications and several other outputs. I have 325 citations and my h-index is 10 (Google Scholar).  Please see this page or my Google Scholar page for an up-to-date list of publications.

 

Talks

I have given several invited and contributed talks at international and national conferences. I have also given several talks focusing on outreach and career development. For a full list please see this page.

 

Teaching

8QA01 image analysis project, Eindhoven University of Technology, 2017-current

  • Responsible instructor / lecturer
  • 1st year BSc course

8DC00 medical image analysis, Eindhoven University of Technology, 2017-current

  • Instructor / lecturer, together with Dr. Mitko Veta
  • 3rd year BSc course

Introduction to medical imaging, Erasmus Medical Center, 2015-2016

  • Lecturer (1-2 times per year)
  • MSc course for medical students

Advanced pattern recognition, Delft University of Technology, 2014-2016

  • Lecturer (1-2 lectures per year) and teaching assistant
  • Intensive course for PhD students

Pattern recognition, Delft University of Technology, 2011-2014

  • Lecturer (2 lectures) in BSc course for biomedical engineering students
  • Teaching assistant in MSc course

Algorithms and data structures, Delft University of Technology, 2007

  • Teaching assistant
  • BSc course

 

Advising

Supervision

  • Linde Hesse (MSc, 2018-2019) – Lung nodule detection in spectral CT
  • Elif Kübra Çontar (2018, internship) – Melanoma classification with crowdsourced labels
  • Merel Eussen (BSc, 2018) – Airway annotations via crowdsourcing in chest CT images
  • Marco van Tilburg (BSc, 2018) – Generating and evaluating alternative lung masks to improve image
    registration
  • Timo van Limpt (BSc, 2018) – Influence of crowdsourced lung masks on the quality of lung image registration
  • Dylan Dophemont (BSc, 2016) – A purposeful game for medical image annotation

For a up-to-date list of students please see this page.

PhD defense committee

  • Annegreet van Opbroek, “Transfer learning for medical image segmentation”, Erasmus Medical Center, 2018
  • Jean-Paul Charbonnier, “Segmentation and quantification of airways and blood vessels in chest CT”, University of Nijmegen, 2017

MSc defense committee

Eindhoven University of Technology
  • Tim Beishuizen, “A computational biology framework”, 2018
  • Mark Janse, “Clustered tumor phenotypes and resectability prediction for PDA using radiomic feature analysis”,  2018
  • Jesper Pilmeyer, “Re-referencing methods for high-density electrocorticographic signals”, 2018
  • Pascal van Beek, “Expanding ADAPT to model heterogeneous datasets and application to hyperinsulinemic euglycemic clamp data”, 2018
  • Carlijn Bakker, “Mapping the homunculus in sensorimotor cortex using fMRI”, 2017
  • Shefali Chand, “Anomaly Detection in Wireless Mesh Lighting Networks”, 2017
Delft University of Technology
  • Dimitrios Palachanis, “Using the multiple instance learning framework to address differential regulation”, 2014
  • Gijs van Tulder, “Sample reusability in importance-weighted active learning”, 2012

 

Mentoring

I’m part of a formal mentorship program for MSc students at Eindhoven University of Technology, where I have mentored the following students:

  • Dieter Timmer, 2018-current
  • Renate van Doormaal, 2018-current
  • Britt Michels, 2017-current
  • Evi Huijben, 2017-current

 

Professional service

Workshop chair or co-chair

Organization leadership

Social media chair MICCAI 2020, 2019-current

Committee member Women in MICCAI, 2017-2019

  • Committee to strengthen the representation of female scientists in medical imaging

Board member NVPHBV, 2014-2019

  • Dutch society for Pattern Recognition and Image Processing
  • Treasurer (2014-2018), social media chair (2018-2019)

 

Board and committee member W.I.S.V. ‘Christiaan Huygens’,

  • Society for computer science and mathematics students
  • Full-time board member (2007-2008), supervising committees in organizing events
  • Organized and coordinated visit to universities and companies in the United States in 2009

Reviewing

I have reviewed over 75 articles for international journals and conferences, such as:

A verified record of my reviews can be found on my Publons page.

 

Outreach

I use this website (http://www.veronikach.com) and Twitter to communicate about my research and about academic life. My work has been featured in various online media, such as:

I regularly give talks at career orientations for high-school or university students, including events organized by VHTO (Dutch national organization on girls/women and science and technology) which encourages girls to study technical subjects.