Welcome

This is the personal website of Leon Helwerda. Details regarding the scientific work and education of Leon are made available here. See GROS for the website relevant to my research, the Grip on Software project.

Focus areas

Machine learning: Neural networks, deep learning, classification and regression algorithms
Vehicle routing problems
Genetic algorithms, multiobjective evolutionary algorithms
Algorithms and complexity
Tomography and singal noise reduction
Sentiment analysis
Software analytics
System administration

Education

2014-2016: Master student Computer Science at LIACS
2011-2014: Bachelor student Informatics at LIACS
2010-2011: Bachelor student Mathematics (for a year) at the Mathematisch Instituut
2004-2010: VWO/Gymnasium

Teaching and assisting

Early spring 2020: Assistant at the Bio-Modeling course, LIACS
Fall 2019: Practicum leader at the Programming Methods NA course, LIACS
Spring 2019: Assistant at the Bio-Modelling and Petri Nets course, LIACS
Fall 2018: Practicum leader at the Programming Methods NA course, LIACS
Spring 2018: Assistant at Bio-Modelling and Petri Nets course, LIACS
Fall 2017: Teaching assistant at the Programming Methods NA course, LIACS
Spring 2017: Teaching assistant at the Programming Techniques course, LIACS
2014-2016: Teaching assistant at the Algorithmics course, LIACS
2013-2016: Teaching assistant at the Programming Methods course, LIACS

Publications

2020: A. Zammit, L. Helwerda, R.C.L. Olsthoorn, F.J. Verbeek, A.P. Gultyaev. A database of flavivirus RNA structures with a search algorithm for pseudoknots and triple base interactions. Bioinformatics, vol. 37 issue 7, pp. 956–962; 10.1093/bioinformatics/btaa759
2020: I. Martorelli, L.S. Helwerda, J. Kerkvliet, S.I.F. Gomes, J. Nuytinck, C.R.A. van der Werff, G.J. Ramackers, A.P. Gultyaev, V.S.F.T. Merckx, F.J. Verbeek. Fungal metabarcoding data integration framework for the MycoDiversity DataBase (MDDB). Journal of Integrative BioInformatics, vol. 17 issue 1, article 20190046; 10.1515/jib-2019-0046
2017: L. Helwerda, F. Niessink, F.J. Verbeek. Conceptual process models and quantitative analysis of classification problems in Scrum software development practices. In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management: Volume 1 (KDIR), Madeira
2017: K.J. Batenburg, L. Helwerda, W.A. Kosters and T. van der Meij. Mobile Radio Tomography: Agent-Based Imaging. In: Bosse T., Bredeweg B. (eds) BNAIC 2016: Artificial Intelligence. Communications in Computer and Information Science, vol 765, pp. 63–75. Springer; 10.1007/978-3-319-67468-1_5 (extended version of "Agents for mobile radio tomography")
2016: K.J. Batenburg, L. Helwerda, W.A. Kosters and T. van der Meij. Agents for mobile radio tomography. In Proceedings of the 28th Benelux Conference on Artificial Intelligence (BNAIC), Amsterdam
2016: L. Helwerda. Mobile radio tomography: Autonomous vehicle planning for dynamic sensor positions. Masters thesis. LIACS, Leiden University
2016: L. Helwerda. Mobile radio tomography: Object detection using autonomous unmanned vehicles. Masters research project report. LIACS, Leiden University.
2014: L. Helwerda. Theory and Applications of Deep Learning Networks. Bachelor’s research project report. LIACS, Leiden University

Contact

Snellius Available sometimes during opening hours
Postal address: Niels Bohrweg 1, 2333 CA Leiden, The Netherlands
Mail: l.s.helwerda in the domain of liacs.leidenuniv.nl
GitHub: lhelwerd
PyPI: lhelwerd
npm: lhelwerda
Coveralls: lhelwerd
ResearchGate: Leon Helwerda
LinkedIn: Leon Helwerda
Google Scholar: Leon Helwerda
ORCID: 0000-0002-4299-466X
DBLP: Leon S. Helwerda
VIAF: 67152023731103312036
ISNI: 0000 0005 0269 0073

Leon Helwerda