Benjamin Paassen
Last changed: 2020-12-03

Work Experience

January 2021 - June 2021
Research Affiliate, Humboldt-University of Berlin, Germany, supervised by Prof. Niels Pinkwart. Funding provided by the DFG in the project Teaching Computer Programming using Deep Recursive Neural Networks.
January 2020 - December 2020
Research Affiliate, The University of Sydney, Australia, supervised by Prof. Kalina Yacef and Prof. Irena Koprinska. Funding provided by the DFG in the project Teaching Computer Programming using Deep Recursive Neural Networks.
June 2019 - December 2019
Researcher, Bielefeld University, Germany. Member of the Machine Learning Research Group. Funding provided by Bielefeld University in the Bielefeld Young Researchers' Fund.
May 2015 - May 2019
Researcher, Bielefeld University, Germany. Member of the Machine Learning Research Group. Funding provided by the DFG from May 2015 to May 2018 in the project Learning Dynamic Feedback for Intelligent Tutoring Systems (DynaFIT).
September 2012 - April 2015
Scientific Assistant, Bielefeld University, Germany. Member of the Machine Learning Research Group. Funding provided by the DFG in the project Learning Feedback for Intelligent Tutoring Systems (FIT).
September 2011 - August 2012
Scientific Assistant, Bielefeld University, Germany. Member of the Practical Computer Science Group.

Academic Education

April 2015 - June 2019
PhD Studies in the doctoral programme Intelligent Systems at Bielefeld University, Germany supervised by Prof. Barbara Hammer. Dissertation on ‘Metric Learning for Structured Data’, graded ‘excellent’ (summa cum laude).
October 2013 - April 2015
Master Studies in the graduate programme Intelligent Systems at Bielefeld University, Germany. Thesis on ‘Adaptive Affine Sequence Alignment Using Algebraic Dynamic Programming’ supervised by Prof. Barbara Hammer, graded ‘very good’ (1.0).
October 2010 - September 2013
Bachelor Studies in the undergrad programme Cognitive Informatics at Bielefeld University, Germany. Thesis on ‘Search Algorithms and their Application in BiBiServ2’ supervised by Prof. Robert Giegerich, graded ‘very good’ (1.0).

Awards and Scholarships

January 2021 - June 2021
Reintegration Fellowship of the German Research Foundation (DFG).
December 2020
Winner (1st place) of the NeurIPS 2020 Education Challenge (Task 3) with Jessica McBroom
October 2020 until today
Junior Fellow of the Center for Interdisciplinary Research
September 2020
ICML 2020 Top reviewer certificate.
May 2020
Nomination for the Doctoral Disseration Award of the International Neural Network Society (INNS)
January 2020
Dissertation Prize of the University Society Bielefeld.
January 2020 - December 2020
Research Fellowship of the German Research Foundation (DFG).
June 2019 - December 2019
Postdoctoral Career Bridge Scholarship of the Bielefeld Young Researchers' Fund.
March 2019
Best Poster Award (2nd) for the poster ‘Unfair Feedback – On Long-Term Fairness of Automatic Decision Making With and Without Affirmative Action’ at the Interdisciplinary College (IK) 2019.
March 2018
Best Poster Award (3rd) for the poster ‘Greedy for Diversity: The Participant Partition Problem in IK Interaction Groups’ at the Interdisciplinary College (IK) 2018.
March 2017
Best Poster Award (2nd) for the poster ‘Transfer Learning for Robust Control of Bionic Prostheses’ at the Interdisciplinary College (IK) 2017.
September 2016
Best Presentation Award for the paper ‘Linear Supervised Transfer Learning for Generalized Matrix LVQ’ at the New Challenges in Neural Computation Workshop (NC2) 2016.
April 2015
Best Student Paper Award for the paper ‘Adaptive structure metrics for automated feedback provision in java programming’ at the European Symposium on Artificial Neural Networks (ESANN) 2015.
April 2014
Best Student Paper Award for the paper ‘Adaptive distance measures for sequential data’ at the European Symposium on Artificial Neural Networks (ESANN) 2014.
February 2011 - April 2015
Full Scholarship of the German Academic Scholarship Foundation (‘Studienstiftung des deutschen Volkes’).

Teaching & Guest lectures

Winter and summer term 2020
Guest lecturer at The University of Sydney for IT research methods.
March 2020
Lecture Series on Machine Learning at the Interdisciplinary College (IK) 2020.
Winter Term 2019/2020
Tutorial Design and Management for Applied Optimization at Bielefeld University.
March 2019
Tutorial Design and Management for Deep Learning at Bielefeld University.
January 2019
Guest Lectures at the University of Groningen on Neural Networks and Pattern Recognition.
Winter Term 2018/2019
Tutorial Design and Management for Applied Optimization at Bielefeld University.
Summer Term 2018
Tutorial Design and Management for Theoretical Computer Science at Bielefeld University.
March 2018
Lecture Series at the Interdisciplinary College (IK) 2018 on Myoelectric Signal Processing and Pattern Recognition.
January 2018
Guest Lectures at the University of Groningen on Neural Networks and Pattern Recognition.
Winter Term 2017/2018
Seminar on Applied Modelling at Bielefeld University.
May 2017
ERASMUS+ Guest Lectures at the University of Pisa on Transfer Learning and Metric Learning.
Summer Term 2017
Lectures, Tutorial Design and Management for Theoretical Computer Science at Bielefeld University.
Winter Term 2016/2017
Tutorial Design and Management for Theoretical Computer Science at Bielefeld University.
Summer Term 2016
Seminar on Applied Modelling at Bielefeld University.
March 2016
Guest Lecture at the Interdisciplinary College (IK) 2016 on Similarity-Based Machine Learning
January 2016
Guest Lecture at the University of Ulm on Metric Learning for Structured Data.
Winter Term 2015/2016
Tutorial Design and Management for Theoretical Computer Science at Bielefeld University.
Summer Term 2015
Tutorial Design and Management for Algorithms of Computer Science at Bielefeld University.
March 2015
Guest Lecture at the Interdisciplinary College (IK) 2015 on Semantic Web Technologies for Word Processing.

Academic Functions

December 2020 to today
Member of the IEEE task force on reservoir computing
May 2020 to today
Associate Editor for the Journal Neural Processing Letters
February 2020 to today
Member of the IEEE task force on learning for structured data
April 2020
Member of the Technical Program Committee for the European Symposium on Artificial Neural Networks (ESANN) 2020
March 2020
Conference Management for the Interdisciplinary College (IK) 2020
April 2019
Chair of the Special Session Embeddings and Representation Learning for Structured Data at the European Symposium on Artificial Neural Networks (ESANN) 2019
March 2019
Conference Management for the Interdisciplinary College (IK) 2019

Outreach & Press

January 2020
Interview with Hertz 87.9 on toxic gamer culture
December 2019
Panel member at the ScienceCinema in Bielefeld
October 2019
Public demo at the Northrhine-Westphalian Academy of Sciences on machine learning for changing data
September 2019
Interview with Hertz 87.9 on societal impacts of machine learning
May 2018
Public demo at the data science day of Bielefeld University on prosthesis research
April 2016
Presenter at the Famelab in Bielefeld

Reviews

Over fourty reviews for indexed academic journals, as well as numerous reviews for conferences, such as the International Conference on Advances in Neural Information Processing (NeurIPS), the International Conference for Machine Learning (ICML), the European Symposium on Artificial Neural Networks (ESANN), and the International Conference on Artificial Neural Networks (ICANN).

Supervision

I supervised eight bachelor’s theses and five master’s theses as well as two student research assistants. Some of these theses resulted in peer-reviewed publications (Paaßen, Jensen, and Hammer, 2016 as well as Kummert et al., 2016).