Theoretical and numerical aspects of complex systems, addressing the spontaneous emergence of patters and organisation in non-equilibrium systems composed of many interacting entities. My research has often been a integration of theoretical, computational and experimental studies of complex systems involving a rigorous mathematical approach to pioneer new ways of analysing such systems quantitatively. I have been working within the area of complexity science for about 25 years, developing and applying transferable tools and techniques to real world systems in many different contexts: geology (earthquake & reservoir engineering), atmospheric physics (rain), biology (evolution & social insects), sociology (organisational science), medicine (brain & heart) and fire safety (smouldering). In 2005, I co-authored together with Dr. Nicholas Moloney a pedagogical textbook entitled “Complexity and Criticality”.
Keywords: Complexity science, emergent phenomena, self organisation, scale invariance, earthquakes, evolution, networks, atrial fibrillation.
03.1993: Ph.D. degree in Science, Institute of Physics and Astronomy, University of Århus, Denmark.
05.1990: Master in Science, Institute of Physics and Astronomy, University of Århus, Denmark.
et al., 2021, Butterfly effect and spatial structure of information spreading in a chaotic cellular automaton, Physical Review B, Vol:103, ISSN:2469-9950, Pages:1-6
et al., 2021, Reconstructing the Intrinsic Statistical Properties of Intermittent Locomotion Through Corrections for Boundary Effects, Bulletin of Mathematical Biology, Vol:83, ISSN:0092-8240
Christensen K, Cocconi L, Sendova-Franks AB, 2021, Animal intermittent locomotion: a null model for the probability of moving forward in bounded space., Journal of Theoretical Biology, Vol:510, ISSN:0022-5193, Pages:1-19
et al., 2020, The microscopic relationships between triangular arbitrage and cross-currency correlations in a simple agent based model of foreign exchange markets, Plos One, Vol:15, ISSN:1932-6203
et al., 2020, Identifying time dependence in network growth, Physical Review & Research International, Vol:2, ISSN:2231-1815, Pages:023352 – 1-023352 – 17