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Dr Xuewu Dai


Department: Mathematics, Physics and Electrical Engineering

Xuewu joined Northumbria University in 2013 after holding two Research Associate positions at University of Oxford (2011-2013) and at University College London (2009-2011), respectively.

Xuewu -DaiI joined Northumbria University in 2013 after holding two Research Associate positions at University of Oxford (2011-2013) and at University College London (2009-2011), respectively.  For over 10 years, I have worked as an academic researcher and engineer in advanced signal processing and its applications in control systems and wireless communications.

I received an MEng in Communication Engineering and BSc in Computer Science from Southwest University, China, in 1999 and 2003, respectively, and a PhD degree studying dynamic modelling and observer-based condition monitoring in Electrical and Electronic Engineering from the University of Manchester, UK in 2008. Prior to the lecturer position at Northumbria, I worked as a post-doctoral researcher from 2011 to 2013 at the Department of Engineering Science University of Oxford, where I developed the signal processing system for the non-contact optical sensor for wastewater and environment monitoring with industrial partners. Due to my contribution to this project, I was awarded the Early Career Research Prize by SWIG UK. From 2009 to 2011, I was a Research Associate at Department of Electronic and Electrical Engineering, University College London (UCL), working as part of the TSB/EPSRC project on "Wireless Data Acquisition in Gas Turbine Engine Testing (WIDAGATE)". I joined the School of Electronic and Information Engineering, Southwest University as a Lecturer Assistant in 2002. During 1999-2000, I worked as a volunteer of education aid group under the China Youth Volunteers Poverty Alleviation Project and taught pupils at Qinghai, China.

He has edited 1 book and published 2 book chapters and over 30 papers in refereed journals and conference proceedings.

Campus Address

Ellison Building

0191 227 4985


BEng, MSc, PhD

Research Themes and Scholarly Interests

My research covers a broad range of both academic and industrial interests, centered on the robust adaptive signal processing, state estimation, filtering and its applications to wireless communication and control systems, including:

Online non-contact optical sensor for wastewater pollution load monitoring and environmental sensing. Due to my contribution

Adaptive channel estimation for light fidelity (Li-Fi). Break breakthroughs in visible light communication (VLC) are enabling the high-speed, bi-directional Li-Fi, either line-of-sight (LOS) or non-line-of-sight (NLOS). In particular, the adaptive estimation of light's reflection channel is one of the keys making Li-Fi practical. We are studying the real-time data-driven channel estimation for visible light communications.  

Adaptive fast-fading OFDM channel estimation in high-mobility environment. This research is motivated by the challenges of applying 3GPP LTE communications in high speed trains. We developed H_infty robust control and estimation techniques to track the OFDM MIMO fast-fading channels.

Precision time synchronization and time-sensitive wireless networked control systems (NCS). The availability of low-cost wireless devices with increased processing power is changing deeply both everyone's life and industrial automation. There is a drive in industry towards distributed wireless networked control, but it is challenged by the package delays/losses and time accuracy of device's local clock. The time synchronization is treated as the estimation of the global time from non-uniformed sampled clock observation.

Data-driven modelling and realistic simulation of industrial wireless sensor networks (WSNs). We have developed a realistic model of RF channels in harsh industrial environment (i.e. aircraft engines), and build a realistic software simulator for "Wireless Data Acquisition in Gas Turbine Engine Testing (WIDAGATE)". The developed simulator has been validated by a small-scale WSN testbed at Rolls-Royce's engine testing site.

Robust state estimation, condition monitoring and fault detection. I studied dynamic modelling of complex system, condition monitoring of aero engines and DFIG wind generators.

Hardware in loop simulation and rapid embedded systems prototyping. The Beagleboard rapid prototyping with MATLAB and Simulink saved our time in validating our advanced signal algorithms in real hardware and developing embedded software.

My teaching responsibility lies principally in electrical and electronic engineering, in particular the communication and signal processing engineering. I am the foundation year programme lead and teaching several modules including:

- EN0005 - Introduction to Electrical Engineering
- EN0409 - Digital Electronics and Communications

Sponsors and Collaborators

I used to work with partners in both academia and industrials, such as control system centre at University of Manchester, Department of Electronic and Electrical Engineering at University College London (UCL), Department of Engineering Science at University of Oxford, Water Research Centre plc (Swindon), Rolls-Royce, SELEX Galileo and Morden Water.

Information for prospective research students

Opportunities to carry out postgraduate research towards an MPhil/PhD or MSc/MA by research exist in all the areas of interest identified above. Scholarships may also be available for excellent candidates in various circumstances. 

Further information may be obtained from The Graduate School.

Current/Recent Projects

EPSRC UK-China Science Bridge Visiting Fellowship, EPSRC, 2011, PI

Online non-contact wastewater pollution Load Monitor (LOADMON), TSB, 2011, Research Associate and Knowledge Transfer Associate

Wireless Data Acquisition in Gas Turbine Engine Testing (WIDAGATE), TSB/EPSRC, 2008, Research Associate and work package lead

Key Publications

Xuewu Dai, John E. Mitchell, Yang Yang, Ian Glover, Konstantinos Sasloglou, Robert Atkinson, Isabella Panella, John Strong, Werner Schiffers, Partha Dutta, "Development and validation of a simulator for wireless data acquisition in gas turbine engine testing," IET Wireless Sensor Systems, 2013

Fei Qin, Xuewu Dai, and John E. Mitchell, "Effective-SNR Estimation for Wireless Sensor Network Using Kalman Filter," Ad Hoc Networks, Nov 2012

Xuewu Dai, Wuxiong Zhang, Jing Xu, John E. Mitchell and Yang Yang, "Kalman Interpolation Filter for Channel Estimation of LTE Downlink in High Mobility Environments," EURASIP Journal on Communications and Networking, 2012, 2012:232

Y. Liao, X. Dai, G. Liu, Y. Yang and S. Yang, Fault detection and eigenstructure optimization in IEEE 802.11 wireless sensor actuator networks for building automation," International Journal of Adaptive Control and Signal Processing, NOV 2012

X. Dai, T. Breikin, Z. Gao, H. Wang," High-gain Observer-based Estimation of Parameter Variations with Delay Alignment," IEEE Transactions on Automatic Control,  Vol. 57, No. 3, pp. 726 -732,   March 2012

X. Dai, K. Sasloglou, R. Atkinson, J. Strong, I. Panella, Y.C Lim, M.D. Han, C.W. Ang, I. Glover, J. E. Mitchell, W. Schiffers and P. S. Dutta, "Wireless Communication Networks for Gas Turbine Engine Testing," International Journal of Distributed Sensor Networks, Vol. 2012, Article ID 212876, 18 pages, 2012 

Further Information

To view my Northumbria Research Link page click here

To view my Google Scholar page click here


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