The Complex and Adaptive Systems Lab
Contact
The Complex and Adaptive Systems Lab
8 Belfield Office Park, Clonskeagh, Dublin 4
- Phone
- +353-1-7165327
- casl@ucd.ie
- Web
- www.ucd.ie/casl/
About Us
"The Complex and Adaptive Systems Laboratory (CASL) is a dynamic interdisciplinary research community advancing scientific knowledge through mathematics and computation. The overarching goal for CASL is to become a globally recognised institute in applied mathematics, computational science and informatics, extracting value from data that will provide insight and innovations to help major national and global challenges through computational modelling and data intensive science."
Our Expertise offers journalists quick and easy access to CASL academics who are happy to provide expert comment and/or background briefing to members of the media. Please note that this site is only for use by journalists. Unfortunately, our experts are not able to provide advice to members of the public.
Prof. Adrian Ottewill, Simulation Science and Extreme Events Cluster Leader
Areas of Expertise: Extreme Events & Risk, Atomistic Modelling, High Performance Computing, Complex Systems & Computational Science, Multiscale Modelling, Data Intensive Science, Computational Systems Biology
Prof. Gary McGuire, Security and Trust Cluster Leader
Areas of Expertise: Security, Coding, Cryptography, Signal Processing, Networks, Decoding, Trust, Error-Correction, Formal Methods, Finite Fields, Nodes
Prof. Padraig Cunningham, Networks and Data Analysis Cluster Leader
Areas of Expertise: Social Networks, Biological Networks, Community Assignment, Graph Techniques, Diffusion, Visualisation, Sensor Networks, Information Dissemination, Anomalous Network Structure
Dr. Michael O'Neill, Natural Computing and Optimisation Cluster Leader
Areas of Expertise: Natural Computing, Development and Grammatical Computing, Evolutionary Computation, Optimisation, Immunocomputing, Social Computing, Neurocomputing, Model Induction, Complex Systems
Key words: Complex and Adaptive Systems, machine learning, risk, Multiscale Modelling, computational modelling, Cryptography, Error-Correction, Anomalous Network Structure, Social Computing
