We develop models to understand building energy utilisation towards technologies for smart buildings and digital twins. Optimisation algorithms, Markov chains and probability mass functions are all utilised for modelling occupancy solutions.
Current projects also consider the multi-objective optimisation of occupancy and space utilisation, and the optimal design and control of heating and sensor systems.
Associated group members: Daniel, Huanbo, Lingfeng
We actively work on characterising tissue-specific cellular metabolism by merging the power of dynamical models, network analysis, and in-house techniques to understand potential rewiring within the metabolic network.
Current projects use constraint-based, dynamical models merged with statistical analysis to characterise manually- and algorithmically-reconstructed metabolic pathways.
Topological Data Analysis
Topological Data Analysis identifies properties in data that remain invariant under continuous deformation. These properties include openness, nearness, connectedness, and continuity. With this at our disposal, we can identify unknown structures to be discovered in large, high-dimensional and noisy data sets.
Associated group members: Sebastian