Johan Barthelemy

Complex systems, such as social networks, the brain, financial systems, and infrastructure networks are composed of a large number of entities in interaction and exhibiting emerging phenomena. The development of sensing devices collecting data about those entities and microsimulations using agent-based modelling techniques are then often crucial to model, analyze and simulate such complex systems.
After his PhD in Applied Mathematics at the University of Namur (Belgium), Dr. Johan Barthélemy joined the SMART Infrastructure Facility of the University of Wollongong (Australia) where he is a Research Fellow. He is leading the SMART IoT Hub and the Digital Living Lab developing sensors and edge computing devices for IoT applications using LPWAN networks including connected beer kegs, smart cameras and water level monitoring and low cost gas sensing. He is currently focusing on the development new applications of AI and Intelligent Video Analytics for smart cities and environmental monitoring.
In addition he also works on the development of new tools and frameworks to simulate large scale agent-based microsimulation. This include i) the design of synthetic population generators to build a disaggregated database of the systems entities; and ii) the development of microsimulations to simulate and observe the agents behaviour. Applications of this work include transportation modelling and disease spreading which can involve millions of agents. The research is interdisciplinary and requires methods from applied mathematics, statistics and high performance scientific programming.
Its collaboration with NIASRA also led to the development of mipfp, a widely-used statistical package for the R programming language.
Finally, as a member of the Namur Center For Complex Systems (University of Namur) he collaborates on projects related to algorithmic complexity, data analytics and agent-based modelling.