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

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

Grants and awards

Recipient Van Gogh grant (EUR 6K) for collaboration with University of Rouen, France (2020)

Recipient grant from UniversiteitsFonds Eindhoven (2019)

  • EUR 5K for a project on crowdsourcing in chest CT images

Recipient NWO Lerarenbeurs (2019)

  • ~ EUR 200K for a project on multi-task learning for explainable AI 
  • Main applicant Ralf Raumanns

Recipient Mozilla Open Science mini-grant (2019)

  • USD 10K for organizing a workshop on open and inclusive academia

Recipient TU Eindhoven Education Innovation funding (2018)

  • EUR 60K for “Educational platform for machine learning and
    medical image analysis” with Dr. Mitko Veta and Dr. Joaquin Vanschoren
  • EUR 60K for “State-of-the-art unified practical curriculum for medical
    image analysis” with Dr. Mitko Veta

Recipient NVIDIA GPU Grant (2018)

  • 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

Second place in Publons ECR Reviewer awards 2018

Shortlisted for Techionista awards 2017

Winner Lorentz-eScience competition, 2017

  • EUR 15K for organizing a workshop “Crowdsourcing for medical image analysis”

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

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 in BSc course

Advising

Supervision PhD researchers

  • Ishaan Bhat (2019 – current) – project on learning from limited labeled data in liver MRI
  • Ralf Raumanns (2019 – current) – project on multi-task learning for explainable AI

Supervision MSc & visiting students

  • Britt Michels (2019-current) – 
  • Colin Nieuwlaat (2019-current) – 
  • Rumjana Romanova (2019-current) – 
  • Tom van Sonsbeek (2018-2019) – Meta-learning for medical image segmentation
  • Linde Hesse (2018-2019) – Lung nodule detection in spectral CT
  • Elif Kübra Çontar (2018, internship) – Melanoma classification with crowdsourced labels

Supervision BSc students

  • Marjolein Pijper (2019) – Semi-supervised learning for liver segmentation
  • Audrey Pfeiffer, Sanne Mevissen, Emiel Roefs (2019) – Feature extraction for skin lesion images
  • Floris Fok (2018) – Transfer learning from non-medical images
  • Merel Eussen (2018) – Crowdsourcing in chest CT images
  • Marco van Tilburg, Timo van Limpt (2018) – Crowdsourcing for registration in chest CT

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

  • Teun van Westenberg, Anouk van Rijn (2020)
  • Daan Meister (2019), Marloes Adonk (2019, TU Delft)
  • Tim Beishuizen, Mark Janse, Jesper Pilmeyer, Pascal van Beek (2018)
  • Carlijn Bakker, Shefali Chand (2017)
  • Dimitrios Palachanis (2014, TU Delft)
  • Gijs van Tulder (2012, TU Delft)

Mentoring

I’m part of a formal mentorship program for MSc students at Eindhoven University of Technology, where I’m mentoring several students per year:

  • Yi He Zhu, Robert van Dijk, Hei-Wah Cheung, Naomi Kruif, Aaron Saam (2019 – )
  • Renate Doormaal, Dieter Timmers (2018 – )
  • Britt Michels, Evi Huijben (2017 – )

Professional service

Organization leadership

Social media chair MICCAI 2020, 2019-current

Committee member Women in MICCAI, 2017-2018

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

Board member NVPHBV, 2014-current

  • 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

Workshop chair or co-chair

  • Avengers for Better Science, Leiden, The Netherlands, 2019
  • Large-scale Annotation of Biomedical data and Expert Label Synthesis (MICCAI LABELS), Granada, Spain, 2018
  • Crowdsourcing for Medical Image Analysis, Leiden, The Netherlands, 2018
  • Large-scale Annotation of Biomedical data and Expert Label Synthesis (MICCAI LABELS), Quebec City, Canada, 2017
  • Meetings of the Dutch Society of Pattern Recognition and Image Processing (NVPHBV), The Netherlands. 50-60 participants each
  • Features and Structures (FEAST) workshop at International Conference on Machine Learning (ICML 2015), Lille, France. 170 registered participants.
  • Features and Structures (FEAST) workshop at International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden. 70 registered participants

Reviewing

Associate editor Pattern Recognition

Area chair for MICCAI 2019

I have reviewed over 130 articles for international journals and conferences, such as IEEE TPAMI, IEEE TMI, IEEE TNNLS, Pattern Recognition, MICCAI, ISBI, NeurIPS and others.

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

 

Outreach

I use this website (http://www.veronikach.com) and Twitter (@drveronikach) 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. From 2014 to 2019 I was also giving talks at events organized by VHTO (Dutch national organization on girls/women and science and technology) which encourages girls to study technical subjects.

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