Department of Applied Mathematics
Doctor of Philosophy / Master of Philosophy
Sept 2018 Entry
The Department currently has three main research groups: Applied Statistics and Financial Mathematics, Optimisation and Operations Research and Engineering and Computational Mathematics.
- Applied Optimisation and Operations Research
- Applied Statistics and Financial Mathematics
- Engineering and Computational Mathematics
Specific research topics include mathematical finance, medical and environmental science, nonlinear optimisation, variational inequality, nonlinear equations, vector optimisation, optimal control and logistics, numerical integration, numerical simulation of combustion, smoothed particle hydrodynamics, genetic algorithms and neural networks.
The Department has a Statistical Advisory Unit that provides both internal and external statistical consultancy and advisory services.
The Department recognises the ever-increasing demand for computational power in teaching and research. In view of this, the Department has recently deployed four high-performance servers as follows.
|Server||Arch.||Processor||CPU cores||Max. Threads||CPU Clock||RAM||Operating system|
|amaws1||X86_64||4 x Intel(R) Xeon(R) E7-4890 v2||60||120||2.8~3.4 GHz||1536GB||Ubuntu 16.04LTS|
|amaws2||X86_64||4 x Intel(R) Xeon(R) E7-4890 v2||60||120||2.8~3.4 GHz||1536GB||Ubuntu 14.04LTS|
|amaws3||X86_64||2 x Intel(R) Xeon(R) E5-2683 v4 + 2 x Tesla K80 GPU||32||64||2.1~3.0 GHz||512GB||Ubuntu 16.04LTS|
|amaws4||X86_64||2 x Intel(R) Xeon(R) E5-2683 v4||32||64||2.1~3.0 GHz||64GB||Ubuntu 16.04LTS|
Together with a 128-processor computer cluster with parallel computing capability, the Department’s computer facilities can efficiently help staff and students to conduct research on big data analysis and applied mathematics.
The mathematics laboratories are equipped with up-to-date PCs with various software, colour laser printers, projectors and audio-visual facilities to support the teaching of mathematics and statistics. The Department has also installed eight Bloomberg terminals to allow staff and students to obtain updated financial data via the renowned Bloomberg Financial Information System.