Organization profile

Organisation profile

The Institute for Complex Systems and Mathematical Biology (ICSMB) has as its unifying intellectual theme the study of complex dynamics and its applications. Since applications of complex dynamics necessarily involve bridging gaps between abstract concepts, on the one hand, and the scientific disciplines, and engineering, medical and social fields where the applications occur, on the other, the Institute devotes special effort to facilitate cross-disciplinary contact and interaction in order to speed and facilitate progress. In particular, the theory of complex dynamical systems plays a central role in integrating mathematical developments with biological experiments. The synergistic developments in systems biology research are vigorously promoted and pursued by the Institute, covering a wide range of mathematical approaches used to uncover the general principles and mechanisms governing biological processes and function at all levels

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

synchronism Physics & Astronomy

oscillators Physics & Astronomy

chaos Physics & Astronomy

dynamical systems Physics & Astronomy

Complex networks Engineering & Materials Science

Chaos theory Engineering & Materials Science

Synchronization Mathematics

complex systems Physics & Astronomy

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

Murilo da Silva Baptista

murilo.baptista@abdn.ac.uk

Person: Staff, Academic

George MacLeod Coghill

g.coghill@abdn.ac.uk

Computing Science - SICSA Chair in System Modelling
Institute for Complex Systems and Mathematical Biology (ICSMB)

Person: Academic

Francesco Giulio Ginelli

francesco.ginelli@abdn.ac.uk

Person: Academic

Research Output 1978 2019

14116 Citations
723 Article
84 Conference contribution
42 Chapter
13 Working paper
37 More

A Conceptual Framework of Starlings Swarm Intelligence Intrusion Prevention for Software Defined Networks

Karatu, M. T., Pang, W. & Coghill, G. M. 2018 ReaLX’18: Reasoning, Learning & Explainability in AI. Martin, K., Wiratunga, N. & Smith, L. S. (eds.). CEUR-WS, Vol. 2151, (CEUR Workshop Proceedings)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

A minimal rupture cascade model for living cell plasticity

Polizzi, S., Laperrousaz, B., Perez-Reche, F. J., Nicolini, F. E., Satta, V. M., Arneodo, A. & Argoul, F. 29 May 2018 In : New Journal of Physics. 20, 5, p. 1-18 18 p., 053057

Research output: Contribution to journal › Article

Open Access

File

plastic properties

cascades

leukemias

bone marrow

indentation

An Adversarial Algorithm for Delegation

Afanador, J., Baptista, M. & Oren, N. 21 Nov 2018 (Accepted/In press) AT 2018: 6th International Conference on Agreement Technologies. Springer , (Lecture Notes in Computer Science)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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