Research areas
Under the guidance of leading researchers who have extensive teaching, research and supervision experience, the DSSC PhD students will specialize in one of the following three interrelated areas:
Adaptive Models & Big Data:
To explore new ways in which statistics, computational sciences, and mathematics can connect data science and complexity science in machine learning, explanatory models and complex systems modelling.
Keywords:
- Data-driven adaptive models for non-stationary systems
- Dimensionality Reduction for Huge Classification Problems
- Low-complexity, parallel and distributed algorithms for image recognition
- Online data collection and interpretation algorithms
- Topological data analysis methods for Big DataVisual analytics techniques for high-dimensional data
- Modeling of large-scale systems and its relation to data
- Methodologies and models for complex systems prediction
Complex Systems & Engineering:
To understand, control and manage complex systems
Keywords:
- Distributed methods for smart energy systems
- Distributed control methods for sensor networks
- Cyber-physical systems and monitoring and control systems
- Second order oscillator networks with stochastic components
- Rapid development techniques for robots
- Model reduction strategies for complex, non-linear systems
- Model reduction methods for integrated energy systems
Advanced Instrumentation & Big Data:
To develop complex instruments by designing new methods and techniques for high data volumes and high data transmission speeds.
Keywords:
- Dynamical modelling and control for deformable telescope mirror
- Scalable calibration algorithms for data from large telescopes
- Automated and robust analysis of telescope data
| Last modified: | 08 February 2018 4.09 p.m. |