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
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
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