Welcome
This is the personal website of Leon Helwerda. Details regarding the scientific work and education of Leon are made available here.
Research projects
Grip on Software (GROS): Large-scale data-driven analysis of Scrum software development practices [1] [4]
- Flavivirus RNA structure (RNA): Strutured pattern search in RNA sequences [2]
- MycoDiversity Database (MDDB): Database for accessing and making sense of fungal biodiversity data [3]
Mobile radio tomography (MRT): Using moving agents that perform wireless signal strength measurements in order to obtain a reconstruction of objects inside an area of interest [5] [6] [7] [8]
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
- 2017-2024: PhD student at LIACS [1]
- 2014-2016: Master student Computer Science at LIACS [7] [8]
- 2011-2014: Bachelor student Informatics at LIACS [9]
- 2010-2011: Bachelor student Mathematics (for a year) at the Mathematisch Instituut
- 2004-2010: VWO/Gymnasium
Teaching and assisting
Publications
- 2024: L. Helwerda. Grip on Software: Understanding development progress of Scrum sprints and backlogs. PhD thesis. LIACS, Leiden University. SIKS Dissertation Series 2024-28
- 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; BibTeX
- 2020: I. Martorelli, L. 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; BibTeX
- 2017: L. Helwerda, F. Niessink, F.J. Verbeek. Conceptual Process Models and Quantitative Analysis of Classification Problems in Scrum Software Development Practices
. In: A. Fred, J. Felipe (eds) Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2017 - KDIR), Madeira, pp. 357–366; 10.5220/0006602803570366; BibTeX
- 2017: K.J. Batenburg, L. Helwerda, W.A. Kosters, T. van der Meij. Mobile Radio Tomography: Agent-Based Imaging
. In: T. Bosse, B. Bredeweg (eds) BNAIC 2016: Artificial Intelligence. Communications in Computer and Information Science, vol. 765, pp. 63–77. Springer (extended version of [6]); 10.1007/978-3-319-67468-1_5; BibTeX
- 2016: K.J. Batenburg, L. Helwerda, W.A. Kosters, T. van der Meij. Agents for mobile radio tomography. In: Proceedings of the 28th Benelux Conference on Artificial Intelligence (BNAIC), Amsterdam, pp. 17–24; BibTeX
- 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 thesis. LIACS, Leiden University
These publications are also available for bundled download in BibTeX format.
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