Current Research
The York Centre for Complex Systems Analysis (YCCSA) is a wide and active collaboration across science departments (and beyond) at the University of York that has as its primary objective the development of novel mathematical and computational methods and tools for the analysis and modelling of complex systems drawn across engineering, physical, and biological sciences.
Diagrammatic representation of YCCSA's research themes
YCCSA, through its members, supports (both in terms of space, personnel and equipment) a wide range of research into complex systems, including novel hardware and software engineering, and modelling of physical and biological complex systems at multiple levels of detail.
- Funded Projects
- Individual PhD Research Projects
- Research at the University of York (opens in new page)
Funded Projects
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This is a four-year PhD training programme that will provide students with in-depth knowledge of infectious diseases and the interdisciplinary skills necessary to conduct research in one of the following three inter-related research themes, that are central to our ability to combat these infections: 1. Drug Target Development 2. Predictive Modelling of Pathogenesis and Treatment Response 3. Development of Novel Tools for Complex Data Analysis. The aim is to deliver the next generation of scientists who will drive quantitative biology to support interdisciplinary research in the biomedical sciences. |
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A graphical model approach to pedigree construction using constrained optimisation. The project goal is to develop efficient methods for constructing family trees ('pedigrees') from DNA data. Accurate pedigrees are crucial in assessing genetic influences on disease. |
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CoCoRo (Cognitive Collective Robotics) aims at creating a swarm of interacting, cognitive, autonomous robots. |
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R-Futures: The future developments in the UK's energy and transport infrastructure and the resilience of these systems to natural and malicious threats and hazards |
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ACORN: Ant Collective Organisation in Robust Networks |
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Material Computation with Structure and Dynamics: bulk NMR feasibility study |
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The Birth, Life and Death of Semantic Mutants |
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Plasticity and robustness i the Arabidopsis shoot branching regulatory network (PAB) |
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Self-healing Cellular Architectures for Biologically-inspired Highly Reliable Electronic Systems (SABRE) |
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Artificial Biochemical Networks: Computational Models and Architectures (ALBINO) |
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Evolutionary algorithms from bacterial and bee genomes (PLAZZMID)
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Complex Systems Modelling and Simulation (COSMOS)
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Software Engineering By Automated SEarch (SEBASE) |
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Journeys in Non-Classical Computation |
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Individual PhD Research Projects (top)
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Learning probabilistic models of complex biological systems |
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Crime and punishment in agent based social systems. |
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The coevolution of executable programs using complex representations |
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Organisations as Complex Systems. The development of organisational design and the application of complexity theory. |
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Modelling the organagenesis of lymphoid tissue. |
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Assessing the biological effects of nanotechnology by combining data from complementary analytical chemistry techniques. |
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Intelligent Data Fusion for Embedded Systems. |
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Levy processes and population dynamics applied to fish and fisheries. |
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Artificial Chemistry for Artificial Life. |
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Characterising the differences between medieval and modern handwriting. |
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Is there a third component in bacterial genomes? |
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Biodiversity indicators of global climate change. |
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Emergent synchronisation of artificial neurons in models of the visual system. |
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Stochastic differential equation models of plant growth and competition. |
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Integrative models for the hormonal control of shoot branching. |
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Individual-based models of stock assessment and fisheries management: quantifying the importance of space and uncertainty in ecosystem based approaches. |
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Neutral Emergence and Coarse Graining Cellular Automata. |
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Extending KEGG pathways using graphical models. |
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Application of AIS to information filtering and web-mining and the development of novel AIS based on modelling aspects of the immune system. Aligned with the CoSMoS Project. |
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Model Driven Engineering (MDE) with emphasis on traceability. |
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Meeting the design challenges of nano-CMOS Electronics (working on the nano-CMOS Project). |
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Developing computational models of granuloma formation and using those models to better understand the immune system and feed the development of algorithms. Aligned with the CoSMoS Project. |
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The application of AIS to wireless sensor networks. |
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Distribution of mobile genetic elements in bacterial genomes. |
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NHS Connecting for Health |
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The evolution of bacterial genome composition. |
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Technology Adoption: Modelling the case of Open Source Software |
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Improving Policing performance through the use of Performance Management tools. |
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Computational Modelling of T-regulatory cells. Aligned with the CoSMoS Project. |
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Intrusion detection on mobile ad hoc networks. |
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Innovativeness and Diffusion of Innovation. |
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York Centre for Complex Systems Analysis, University of York, Heslington, York, YO10 5DD
Tel: +44 (0)1904 325334 | Fax: +44 (0)1904 500159
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