Bettina Finzel

Research Associate (Doctoral Candidate)

 

Office: WE5/04.028
Office hours: Thu, 10:00 - 12:00, by apppointment otherwise

Phone: +49 951 863 2878
Email: bettina.finzel(at)uni-bamberg.de

orcid.org/0000-0002-9415-6254

 

Bettina Finzel holds a bachelor and a master degree in Applied Computer Science from the University of Bamberg. In 2018 she joined the Cognitive Systems Group as a research associate and doctoral candidate in the project TraMeExCo, which is founded by the Federal Ministry for Education and Research. Since 2019 she is member of the Bamberg Graduate School of Affective and Cognitive Sciences (BaGrACS).

since 10/2018Research Associate in the project Transparent Medical Expert Companion (TraMeExCo) founded by BMBF at Cognitive Systems Group, Faculty of Information Systems and Applied Computer Sciences, Otto-Friedrich-Universität Bamberg, Germany
10/2016 - 10/2019Applied Computer Science Study at the Faculty of Information Systems and Applied Computer Sciences, Otto-Friedrich-Universität Bamberg, Germany (Master of Science, with distinction)
04/2018 - 09/2018Internship concerning the Implementation of Predictive Analytics at MHP Management- und IT-Beratung GmbH
10/2012 - 03/2017Applied Computer Science Study at the Faculty of Information Systems and Applied Computer Sciences, Otto-Friedrich-Universität Bamberg, Germany (Bachelor of Science)

 

Main Research Interests

  • Explainable AI and Interactive Machine Learning for the Medical Domain
  • Constraint Programming for Relational Learning, especially Mutual Explanations
  • Mentoring in Computer Science
  • Precision Medicine
  • Schmid U., Finzel B. (2019), Mutual Explanations for Cooperative Decision Making in Medicine, KI – Special Topic Interactive Learning (zur Veröffentlichung angenommen).
  • Rieger, Finzel, Seuß, Wittenberg, Schmid (2019) Make Pain Estimation Transparent: A Roadmap to Fuse Bayesian Deep Learning and Inductive Logic Programming (Poster). 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC, 23.-27. Juli 2019, Berlin).
  • Finzel B., Schmid U. (2019) Erklärbare KI für medizinische Anwendungen (Talk). 49. Kongress der Deutschen Gesellschaft für Endoskopie und Bildgebende Verfahren e.V. (28.-30. März 2019, Stuttgart), Track der Deutschen Gesellschaft für Biomedizinische Technik "Krankenhaus der Zukunft".
  • Finzel B., Rabold J., Schmid U. (2019) Explaining Relational Concepts: When Visualisation and Visual Interpretation of a Deep Neural Network's Decision are not enough (Abstract). Europäische Konferenz zur Datenanalyse (ECDA, 18.-20. März 2019, Bayreuth), Special Session on Interpretable Machine Learning.
  • Finzel B., Deininger H., Schmid U. (2018) From beliefs to intention: mentoring as an approach to motivate female high school students to enrol in computer science studies. In Proceedings of the 4th Conference on Gender & IT (GenderIT '18). ACM, New York, NY, USA, 251-260.
  • Elmamooz, G., Finzel, B. & Nicklas, D., (2017). Towards Understanding Mobility in Museums. In: Mitschang, B., Nicklas, D., Leymann, F., Schöning, H., Herschel, M., Teubner, J., Härder, T., Kopp, O. & Wieland, M. (Hrsg.), Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband. Bonn: Gesellschaft für Informatik e.V.. (S. 127-136).

All Publications

Awards

  • Finalist of the competition "KI-Newcomer*innen Wettbewerb 2019" of the German Informatics Society, -- [News]
  • Finalist of the Future X Healthcare Scientific Excellence Award 2019, Roche, Munich -- [News]
  • Female Tech Talents Stipendium (2018) awarded by Campusjäger
  • Award of the Ministry for Environment and Health (2012) for a Sustainability and Nutrition Education Project for Elementary Schools

Selected Activities

  • Member of the Bamberg Graduate School of Affective and Cognitive Sciences (BaGrACS)
  • Member of the German Informatics Society
  • Alumni Advisor for the make IT Computer Science Mentoring at the University of Bamberg (voluntary)
  • Elected member of the Czech-German Discussion Forum, participation in the task force for social and economic affairs, especially digital transformation topics (voluntary)
  • Workshops
    • Das Mentoring Program make IT, 16. Arbeitstagung der Konferenz der Einrichtungen für Frauen- und Geschlechterstudien im deutschsprachigen Raum (KEG), Arbeitsgruppe „Mentoringprojekte in der Informatik“, University of Music and Performing Arts, Vienna, 26.9.2018 -- [Program]
    • Shiny R - Analysen interaktiv gestalten und visualisieren, course at the TAO-SFZ-Workshop „KI selber programmieren“, University of Bamberg 29.-31.10.2018 -- [Report]
    • Maschinelles Lernen und Data Science – Hands-On mit KNIME, Woche der Forschung, University of Bamberg, 26.2.2019 -- [Program]
  • Lectures
    • Classifying Medical Data with Neural Nets and Inductive Logic Programming, lecture including practical tasks in R and Prolog, University of Economics Prague, 22.10.2019 -- [Event]
  • Talks
    • Gedanken zu Künstlicher Intelligenz und der künftigen Gesellschaft, Diskussionspanel Gesellschaft 4.0, Jahreskonferenz des Deutsch-Tschechischen Gesprächsforums zum Thema "Die Zukunft der deutsch-tschechischen Beziehungen aus der Sicht junger Deutscher und Tschechen", Olomouc, 20.11.2018 -- [Program]
    • Künstliche Intelligenz und Medizin: Von operierenden Robotern und Computerdiagnosen, Tag der Begabtenförderung 2019, Kloster Banz, 8.7.2019 -- [Report]
    • Learning Expressive First Order Rules - Introduction to Inductive Logic Programming, talk held in KIZI seminar, University of Economics Prague, 22.10.2019 -- [Event]
    • Skalpell bitte! KI in der Medizin: Chancen und Herausforderungen, KI und Wir* Convention, Magdeburg, 23.11.2019 -- [Program], [Abstract], [News]
    • Constraints as Verbal Corrective Feedback -- An Inductive Logic Programming Approach to Generate and Adapt Explanations in Image Classification, 1st GK Doctoral Symposium on Cognitive Science, 23.-24.01.2019 -- [Abstract]
    • Künstliche Intelligenz - Konkurrenz oder Partnerschaft, Frauennetzwerk Fürth, 07.04.2020 -- [Event]

Participation in Schools

  • Interdisciplinary College 2019 Günne/Möhnesee Germany “Out of your senses: from data to insight”, intense one-week spring school, 12.-18.3.2019
  • ECML PKDD Summer School 2019 Würzburg Germany “Machine Learning and Data Mining for Geo-Spatial Data/Volunteered Geographic Information, Quality of Experience and Human-Computer Interaction (EPSS19)”, intense one-week spring school, 11.-16.10.2019
    • included paper preparation in group work for submission at an international conference

Reviews

  • KI Conference (Subreviewer)
  • ACM GEWINN Conference