Massimo Achterberg

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




  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.



  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.




2019 - Present

Network Architecture and Services, Delft University of Technology, Delft, The Netherlands
PhD in Modelling Spreading Processes in Adaptive Networks

2017 - 2019

Delft University of Technology, Delft, The Netherlands
MSc cum laude in Applied Mathematics, specialisation Mathematical Physics

2014 - 2017

Delft University of Technology, Delft, The Netherlands
BSc in Applied Mathematics
BSc in Applied Physics


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Address HB 09.040, Mekelweg 4, 2628 CD, Delft, The Netherlands



Mekelweg 4, 9th Floor
2628 CD, Delft, The Netherlands
Tel : +31 (0)15 27 86111