Since November 2019 I'm a PhD student with a research focus on modelling spreading phenomena in adaptive networks.

Publications

1. Comparing the accuracy of several network-based COVID-19 prediction algorithms, M. A. Achterberg, B. Prasse, L. Ma, S. Trajanovski, M. Kitsak and P. Van Mieghem, International Journal of Forecasting, to appear.
2. Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei, B. Prasse, M. A. Achterberg, L. Ma and P. Van Mieghem, Applied Network Science 5:35, Jul 2020.
3. Classification of link-breaking and link-creation updating rules in susceptible-infected-susceptible epidemics on adaptive networks, M. A. Achterberg, J. L. A. Dubbeldam, C. J. Stam and P. Van Mieghem, Physical Review E 101, 052302, May 2020.

Conferences

1. Markov Modulated Process to model human mobility, B. Chang, L. Yang, M. Sensi, M. A. Achterberg, F. Wang, M. Rinaldi and P. Van Mieghem, Proceedings of the Tenth International Conference on Complex Networks and Their Applications, Complex Networks 2021, 30 November - 2 December, Madrid, Spain.

Pre-prints

1. Power-law decay in epidemics is likely due to interactions with the time-variant contact graph, P. Van Mieghem, M. A. Achterberg and Q. Liu, TU Delft Report, Dec 2020.
2. Fundamental Limits of Predicting Epidemic Outbreaks, B. Prasse, M. A. Achterberg and P. Van Mieghem, TU Delft report, Apr 2020.

Other articles

1. Tackling the COVID-19 Pandemic, published in Maxwell (23.4), magazine from the Electrotechnische Vereeniging, TU Delft, Jul 2020.

Short CV

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