CSIR Modelling and Digital Science
The ever-increasing complexity of engineered and natural systems that have become part of our lives requires a multidisciplinary approach in which computational science is key for the modelling, simulation and optimisation needed to fully understand research problems.
CSIR Modelling and Digital Science develops capabilities in computational science applied in all CSIR research focus areas. The unit has strong capabilities in information security, mathematical modelling and mobile intelligent autonomous systems.
The growing demand for information and communications technology for socio-economic development requires a safe and secure cyberspace. To support this need, researchers in information security develop novel solutions in identity authentication through research on biometrics and token-based systems; and contribute solutions for monitoring and assessment of security in the cyber space through research on network penetration testing, intrusion detection and forensics.
CSIR mathematical modellers apply their skills in domains such as the natural environment, to support research in areas such as coastal engineering and climate modelling; the engineered environment, to support research in areas such as rail engineering, aeronautics and roads design; and the resource and behavioural domains, to support research in areas such as water and energy demand modelling, and human behaviour predictive analytics, for example in voting predictions.
Mobile intelligent autonomous systems
The mobile intelligent autonomous systems laboratory focusses on the research and design of field robots that are deployable in areas hazardous for human beings to navigate, in automated product or infrastructure inspection as well as search and rescue missions.