Computer Engineering Laboratory (CEL)
The Computer Engineering Lab develops novel hardware and software techniques to solve computationally intensive problems.
Research areas include:
- Reconfigurable Computing - studying how field programmable gate array (FPGA) devices can be utilised to solve previously intractable problems in signal processing, mathematics and financial engineering; embedded systems hardware; and developing improved FPGA architectures for domain-specific applications.
- Financial Engineering - applying parallel processing in the form of clusters, multicore, manycore and graphics processing units to real-time and large-scale machine learning problems. Applications include derivative pricing and hedging of foreign exchange risk.
- Biomedical Engineering - cardiology and movement disorders.
- Nanoscale interfaces - developing interfaces between conventional electronics and nanoscale devices.