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.

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, magazine from the Electrotechnische Vereeniging, TU Delft, Jul 2020.

Supervised Master students

1. Xinhan Liu, Byzantine nodes in Non-Conconsus Dynamics (working title) (2021-)
2. Tian Gan, Metastable topology in adaptive SIS epidemics (working title) (2020-)
3. Brian Chang and Liufei Yang, Website prediction and Markov-modulated processes (working title) (2020-)

Short CV

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