| Assoc Prof Douglas Leslie Maskell
Associate Professor
Division of Hardware & Embedded Systems
School of Computer Engineering
College of Engineering
Email: ASDOUGLAS@ntu.edu.sg
Phone: (+65)6790 6259
Office: N4-02c-98 |
| Education |
- PhD James Cook University 1996
- MEng James Cook University 1985
- BE(Hons) James Cook University 1980
|
| Biography |
| Associate Professor Douglas Maskell is currently in the School of Computer Engineering since 2001. He received his Bachelor degree in Electrical and Electronics Engineering from James Cook University, Australia. He obtained the M.Eng.Sc. and and Ph.D. degrees from James Cook University, Australia. His research interests include embedded systems and reconfigurable computing. He has done significant research work his research areas and published over 40 top quality international conference and journal papers. |
| Research Interests |
Associate Professor Douglas Maskell conducts research in the areas of embedded systems, algorithm acceleration using FPGA, embedded applications and architectures, low complexity digital filters, and low complexity phase and distance measurement. I am an active member of the Centre for High Performance Embedded Systems where I head the Reconfigurable Computing group.
My main research focus is in the area of reconfigurable computing including: efficient utilisation of FPGA hardware & architecture resources for near routeless placement & fast configuration; system resource management & inter-module communications for run-time hardware systems; and low power system-level design techniques for FPGA. The major thrust is towards supporting the emerging trend to incorporate reconfigurable space into embedded and performance computers. This effort involves the development of tools, algorithms and architectures suitable for dynamically modifying the computing resources of a system.
I also conduct research into the deployment of embedded systems technology to various applications, including: adaptive subsample delay estimation and digital filters. The adaptive delay estimation project examines the use of novel digital filtering techniques to adaptively determine the subsample delay between two signals in the presence of measurement noise, while the digital filter project looks at using very low complexity multiplierless filter structures for fast, hardware efficient reconfigurable filtering targeted to software defined radios. |
| Research Grant |
- Academic Research Fund Tier 1 (2009-)
- Academic Research Fund Tier 2 (2013-)
- Defence Science Organisation National Laboratories (2010-)
- NTU Internal Funding - College of Engineering (2011-)
|
| Current Projects |
- Development of Scalable Bioinformatics Algorithms and Tools for Emerging Sequencing Technologies
- Dynamic Reconfigurable computing: The next Generation High Performance Computing Platform for Embedded Applications (Official No: T206B2201)
- Fine-Grain Dynamically Reconfigurable Paltform For High-Performance Computing
- Low Complexity Dynamically Reconfigurable Signal Processing for Cognitive Radios
- Low-cost concentrating PV (CPV) systems optimised for Singapore's wet tropical climate
- NVIDIA Academic Partnership
- RP5-Modelling and Optimisation for Architectures and Infrastructure (under main project of "Electromobility in Megacities)
- RP5-Modelling and Optimisation for Architectures and Infrastructure (under main project of "Electromobility in Megacities)
- Scalable Algorithm Design for Emerging Parallel Architectures
| Selected Publications | - D.L.Maskell. (2007). Design of Efficient Multiplierless FIR Filters. IEE Proceedings-Circuits Devices and Systems, 1(2), 175-180.
- X. Chen*, D.L.Maskell, Y. Sun*. (2007). Fast Identification of Custom Instructions for Extensible Processors. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 26(2), 359-368.
- T.F. Oliver*, B. Schmidt*, D.L.Maskell, D. Nathan*, R. Clemens*. (2006). High-speed multiple sequence alignment on a reconfigurable platform. International Journal of Bioinformatics Research and Applications, 2(4), 394-406.
- D.L.Maskell, G.S. Woods*. (2005). Adaptive subsample delay estimation using a modified quadrature phase detector. IEEE Transactions on Circuits and Systems Part II-Express Briefs, 52, 669-674.
- T. Oliver*, B.Schmidt, D. Nathan*, R. Clemens*, D.L.Maskell. (2005). Using Reconfigurable Hardware to accelerate Multiple Sequence Alignment. Bioinformatics, 21, 3431 ? 3432.
|
|