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 [3]
- Flavivirus RNA structure (RNA): Strutured pattern search in RNA sequences [1]
- MycoDiversity Database (MDDB): Database for accessing and making sense of fungal biodiversity data [2]
- 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 [4] [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
- 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; 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 [5]); 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.
Contact