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Dr Patrick Wong

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Professional biography

Dr. Patrick Wong received his BEng (Hons.) degree in Digital Systems Engineering in 1993 and Ph.D degree in Electrical Engineering in 1999 from University of Sunderland, UK. He joined the Open University in December 1999 as a research fellow and become a lecturer of Intelligent Computer Systems in 2002. Since 2019, he has been a postgraduate research tutor and the lead of the networking and commuications academic group of the School of Computing and Communications. He is a supervisor of the Next Generation Multimedia Research Group and has supervised 6 PhD students to completion. He has been a committee member of the Open University's Animal Welfare Ethical Review Body, which monitors and approves researches using animals.
He is a member of the Institution of Engineering and Technology (IET) and a chartered engineer. Between 2015 to 2018, he was an executive committee member of the IET's Vision and Imaging Professional network.
He is a member of the Editorial board of Emerald's Kybernetes (The international journal of cybernetics, systems and management sciences), associated editor of the British Journal of Mathematics and Computer Sciences. He also regularly reviews paper for a number of journals which includes IET Communications, IET Image ProcessingElsevier's Physics Letters APhysicaThe International Journal of Simulation, Systems, Science and Technologies.
His main sport is table tennis. In fact, he chairs the Open University Table Tennis Club and also plays league matches at Milton Keynes Table Tennis League.
He is also a trustee of the Milton Keynes Chinese School and Community Centre.

Research interests

His research interests are in artificial intelligent applications, especially in computer vision applications, biometrics recognition, image processing and fault prediction and detection. He has been supervising PhD students on projects related to Multiview Image Processing and Cognitive Radio Technologies. He is also developing an automatic table tennis umpiring system using image/video processing and artificial intelligent techniques. He was a runners up of the BCS Competition for the Machine Intelligence Prize, which was held at ES2002 in Cambridge on 11th December 2002.
 

External Examining

2020                An Investigation Into Computer-Based Solutions to Support Those With Colour Vision Deficiency to Access Day-to-Day Information, Ph.D., University of Hertfordshire

2019                Image super resolution and interpolation using multi array cameras, Ph.D., University of Bedfordshire
2018                WAVELET-BASED IMAGE AND VIDEO SUPER-RESOLUTION RECONSTRUCTION, Ph.D., Cranfield University
2017                Individual and group dynamic behaviour patterns in bound spaces, Ph.D., London Metropolitan University
2016                Improving image quality via sub-space image super-resolution for low-powered tracking and surveillance systems, MSc by Research, Cranfield University.
 
Internal Examining
2011                PhD mini viva, Security issues in fourth-generation (4G) networks
2005                Ph.D. viva, Computational Methods for the Operational Surveillance of Nuclear Power Plant
 
Supervision

2017-Present      Ph.D., Investigation into the use of remote sensing to assess condition of rural road networks and assets in low income countries (Part-time)

2014- 2019         Ph.D., Multiview Distributed Video Coding (Full time)
                           Completed in 2019
 
2012-2018          Ph.D., Automatic Table Tennis Umpiring (Full time)
                           Completed in 2018
 
2012-2016          Ph.D., A Novel Inpainting Framework for Virtual View Synthesis (Full time)
                           Completed in 2017
 
2009-2017          Ph.D., New Cross-Layer Processing and Routing Strategies for Cognitive Radio Networks (Part time)
                           Completed in  2017
 
2011-2016          Ph.D., A Hybrid Similarity Measure Framework for Multimodal Medical Image Registration (Full time)
                           Completed in 2016
 
2008-2015          Ph.D., Intelligent Side Information Generation in Distributed Video Coding (Part time)
                           Completed in 2015

Teaching interests

He is the module chair of TM255 Communication and information technologies, an author of TM112  Introduction to Computing & IT 2 and a module team member of T215 Communication and Information Technologies. Previously, he chaired the presentation of TM128 Microsoft Server Technologies between 2013 and 2014, T396 Artificial Intelligence for Technology from 2003 to 2007. He was also an author of M366 Natural and Artificial intelligence, T215 Communication and Information Technologies, TM128 Microsoft Server Technologies and TM129 Technologies in practice.

He is leading a 12 month scholarship project investigating the students’ experiences of using virtualisation for their computing practical activities and identified the common difficulties they experienced.

Impact and engagement

In October 2016, Patrick was invited to give a key-note speech on “Automatic Table Tennis Umpiring using a Multi-Agent System” at International Conference on Innovation for Connected World and Smart Living in Hong Kong. Delegates included representatives from Cisco, GP batteries, local businesses and universities.

In 2015, Patrick advised a group of turbine engineers from Alstom and Rolls and Royce in using data modeling technique for managing the transmission of vast amount sensor data. He was subsequently invited to give a talk at a workshop organised by the IET’s turbine network.

Since 2013, Patrick have contributed in organising and running a number of outreach activities including 1 workshop at the Bletchley Park and 3 workshops at National Museum of Computing. On average, each workshop was attended by about 30 people, and were enjoyed by both children and adults.

 

External collaborations

Patrick works closely with academics from a number of universities in UK and Hong Kong on research projects.

Patrick is a member of the Editorial board of Emerald's Kybernetes (The international journal of cybernetics, systems and management sciences), associated editor of the British Journal of Mathematics and Computer Sciences

Research groups

NameTypeParent Unit
CRC (LM & KT): NeXt Generation Multimedia TechnologiesGroupFaculty of Mathematics, Computing and Technology

 

Externally funded projects

TreeView: developing new capacity for the remote sensing of UK trees and forests
RoleStart dateEnd dateFunding source
Co-investigator01 Nov 202031 Mar 2021UKSA UK Space Agency

Tree and forest climate interactions are fundamental to a sustainable future and societal wellbeing. Trees are at the heart of the current political discourse, and the UK government is preparing to launch a strategy to accelerate tree planting and improve the management of existing trees and woodlands. The world is becoming increasingly urbanised, and urban trees are well recognised for their environmental, health and wellbeing benefits. Trees across the rural and urban landscape are going to play a central role as we move towards a net-zero emissions economy. The ability to measure, monitor and map the health and status of the UK’s trees is therefore essential to the UK’s future treescape and urban green infrastructure. Currently, tree identification can be achieved with high spatial resolution panchromatic imagery, but we need to go beyond this. We need to be able to not only map species within mixed assemblages, but also characterise the health and size of the trees. Furthermore, we need to be able to measure the particular configurations of urban environments and the small-scale but widespread plantings that are likely to feature prominently in planting programmes. Importantly, we need to be able to monitor changes over time – to quantify carbon sequestration; assess vulnerability and detect the onset of climatic stress or disease outbreak to facilitate early intervention; and to measure the success and monitor compliance of tree planting programmes. This requires going to the spatial scale of tree crowns but capturing the spectral information that will provide the information for classification and characterisation. Advances in both sensors and process understanding is closing the gap between canopy reflectance properties and its functional meaning, opening the possibility of detailed studies at the scale of individual trees and their responses to global change from space. Species identification and mapping has been demonstrated from airborne hyperspectral sensors, enabling species mapping across forests and urban areas. In this project we will push the limits of leading CMOS TDI sensors and optimise system configuration to develop a new platform for the classification, characterisation and monitoring of trees across urban and rural landscapes. Band selection will provide information on both plant health and will feed into classification algorithms developed from extensive ground truthing data. In this pathfinder phase of the project, our objectives are to (could include): 1. Refine band selection based on key vegetation characterisation indices and sensor constraints (from starting point of bands a,b,..f) 2. Develop classification algorithms from airborne hyperspectral data and extensive ground-truthing data sets. 3. Collect new airborne data specifically for one target market: railways 4. Produce the system requirements document for TreeView 5. Produce the mission requirements document for TreeView 6. Perform market analysis of end users across local and national government, commercial and research sectors

Publications

Prediction of Unpaved Road Conditions Using High-Resolution Optical Satellite Imagery and Machine Learning (2023-08-11)
Workman, Robin; Wong, Patrick; Wright, Alex and Wang, Zhao
Remote Sensing, 15, Article 3985(16)


A multi-view automatic table tennis umpiring framework (2023)
Wong, Patrick; Myint, Hnin; Dooley, Laurence and Hopgood, Adrian
Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology ((early access))


5G multi-layer routing strategies for TV white space secondary user access (2019-07-30)
Martin, John Hugh; Dooley, Laurence S. and Wong, K.C. Patrick
IET Communications, 13(12) (pp. 1801-1807)


Virtualization for computer networking skills development in a distance learning environment (2018-07)
Donelan, Helen; Smith, Andrew and Wong, Patrick
Computer Applications in Engineering Education, 26(4) (pp. 872-883)


New Dynamic Spectrum Access Algorithm for TV White Space Cognitive Radio Networks (2016-12-15)
Martin, John; Dooley, Laurence and Wong, Patrick
IET Communications, 10(18) (pp. 2591-2597)


Editorial (2016-11-07)
Ramage, Magnus; Chapman, David and Wong, Patrick
Kybernetes, 45(10) (pp. 1502-1504)


Tracking Table Tennis Balls in Real Match Scenes for Umpiring Applications (2011-10)
Wong, Patrick and Dooley, Laurence
British Journal of Mathematics & Computer Science, 1(4) (pp. 228-241)


Identifying table tennis balls from real match scenes using image processing and artificial intelligence techniques (2009-11)
Wong, Patrick
International Journal of Simulation Systems, Science & Technology, 10(7) (pp. 6-14)


Cognitive Radio and TV White Space (TVWS) Applications (2019-02-22)
Martin, J. H.; Dooley, L. S. and Wong, K. C. P.
In: Zhang, Wei ed. Handbook of Cognitive Radio (pp. 1935-1970)
ISBN : 978-981-10-1393-5 | Publisher : Springer Nature Singapore Pte Ltd. | Published : Singapore


Using short questionnaires to support students' emotion awareness and regulation during an online group project (2023-10-27)
Hilliard, Jake; Donelan, Helen; Heaney, Caroline; Kear, Karen and Wong, Patrick
In : “Yes we can!” - Digital Education for Better Futures (EDEN 2023 Annual Conference) (18-20 Jun 2023, Dublin City University (DCU), Dublin, Ireland)


Accurate Medicinal Plant Identification in Natural Environments by Embedding Mutual Information in a Convolution Neural Network Model (2023-02-28)
Shahmiri, Lida; Wong, Patrick and Dooley, Laurence S.
In : 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS) (5-7 Dec 2022, Genova, Italy)


Accelerating Cyber-Breach Investigations through Novel use of Artificial Immune System Algorithms (2022)
Donnachie, Benjamin; Verrall, Jason; Hopgood, Adrian; Wong, Patrick and Kennedy, Ian
In : Artificial Intelligence XXXIX: 42nd SGAI International Conference on Artificial Intelligence. Lecture Notes in Computer Science (13-15 Dec 2022, Cambridge, UK) (pp. 297-302)


Understanding and mitigating students’ difficulties in undertaking complex practical activities on their computers (2020-04-29)
Wong, Patrick; Donelan, Helen and Hirst, Tony
In : 9th eSTEeM Annual Conference (29-30 Apr 2020, Milton Keynes, England)


Using real time student feedback as an emotion awareness and regulation tool in an assessed, online, collaborative project (2020)
Hilliard, Jake; Wong, Patrick; Kear, Karen; Donelan, Helen and Heaney, Caroline
In : The 9th eSTEeM Annual Conference (29-30 Apr 2020, Milton Keynes, England)


Experiences on Designing and Presenting a Level 2 Information and Communication Technologies Open University Module (2019)
Kouadri Mostéfaoui, Soraya and Wong, Patrick
In : Horizons in STEM Higher Education 2019 (3-4 Jul 2019, Kingston University, UK)


Identifying tweets from Syria refugees using a Random Forest classifier (2018-12-13)
Wong, Patrick; Reel, Smarti; Wu, Belinda; Kouadri Mostéfaoui, Soraya and Liu, Haiming
In : The 2018 International Conference on Computational Science and Computational Intelligence (CSCI) (13-15 Dec 2018, Las Vegas, USA)


A content-aware quantisation mechanism for transform domain distributed video coding (2018-12-06)
Mahmood, Asif; Dooley, Laurence S. and Wong, Patrick
In : The 2017 International Conference on Computational Science and Computational Intelligence (14-16 Dec 2017, Las Vegas, USA)


Transform domain distributed video coding using larger transform blocks (2018-03-08)
Mahmood, Asif; Dooley, Laurence and Wong, Patrick
In : 5th IEEE Global Conference on Signal and Information Processing (14-16 Nov 2017, Montreal, Canada)


Multiview System for Tracking a Fast Moving Object Against Complex Backgrounds (2016-10-27)
Wong, Patrick
In : International Conference on Innovation for Connected World and Smart Living (27-29 Oct 2016, Hong Kong)


Tracking a table tennis ball for umpiring purposes using a multi-agent system (2016-07)
Myint, Hnin; Wong, Patrick; Dooley, Laurence and Hopgood, Adrian
In : The 20th International Conference on Image Processing, Computer Vision, & Pattern Recognition (25-28 Jul 2016, Las Vegas, USA)


Improving distributed video coding side information by intelligently combining macro-blocks from multiple algorithms (2015-12-01)
Akinola, M. O.; Dooley, L. S. and Wong, K. C. P.
In : 2nd IET International Conference on Intelligent Signal Processing (ISP 2015) (1-2 Dec 2015, London)


Tracking a table tennis ball for umpiring purposes (2015-05-18)
Myint, Hnin; Wong, Patrick; Dooley, Laurence and Hopgood, Adrian
In : Fourteenth IAPR International Conference on Machine Vision Applications (MVA2015) (18-22 May 2015, Tokyo, Japan)


Robust Image Registration using Adaptive Expectation Maximisation based PCA (2014-12-07)
Reel, P.S.; Dooley, L.S.; Wong, K.P. and Börner, A.
In : IEEE Visual Communications and Image Processing Conference (VCIP'14) (7-10 Dec 2014, Valletta, Malta) (pp. 105-108)


Disocclusion Hole-Filling in DIBR-Synthesized Images using Multi-Scale Template Matching (2014-12-07)
Reel, S.; Wong, K. C. P.; Cheung, G. and Dooley, L. S.
In : IEEE Visual Communications and Image Processing Conference (VCIP'14) (7-10 Dec 2014, Valletta, Malta) (pp. 494-497)


Enhanced retinal image registration accuracy using expectation maximisation and variable bin-sized mutual information (2014-05-04)
Reel, P. S.; Dooley, L. S.; Wong, K. C. P. and Börner, A.
In : 39th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (4-9 May 2014, Florence, Italy) (pp. 6682-6686)


A new cross-layer dynamic spectrum access architecture for TV White Space cognitive radio applications (2013-12)
Martin, J. H.; Dooley, L. S. and Wong, K. C. P.
In : Intelligent Signal Processing (ISP) Conference 2013 (2-3 Dec 2013, London)


Joint texture-depth pixel inpainting of disocclusion holes in virtual view synthesis (2013-10-29)
Reel, Smarti; Cheung, Gene; Wong, Patrick and Dooley, Laurence S.
In : APSIPA Annual Summit and Conference 2013 (29 Oct - 01 Nov 2013, Kaohsiung, Taiwan)


Multimodal retinal image registration using a fast principal component analysis hybrid-based similarity measure (2013-09-15)
Reel, Parminder Singh; Dooley, Laurence S.; Wong, K. C. P. and Börner, Anko
In : 20th International Conference on Image Processing (ICIP) (15-18 Sep 2013, Melbourne, Australia)


Fast EM principal component analysis image registration using neighbourhood pixel connectivity (2013-08-27)
Reel, Parminder Singh; Dooley, Laurence S.; Wong, K. C. P. and Börner, Anko
In : 15th International Conference on Computer Analysis of Images and Patterns (27-29 Aug 2013, York)


Robust retinal image registration using expectation maximisation with mutual information (2013)
Reel, Parminder; Dooley, Laurence and Wong, Patrick
In : 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (26-31 May 2013, Vancouver, Canada) (pp. 1118-1122)


Efficient Image Registration using Fast Principal Component Analysis (2012-09)
Reel, Parminder Singh; Dooley, Laurence S. and Wong, Patrick
In : IEEE International Conference on Image Processing (ICIP'12) (30 Sep to 3 Oct 2012, Lake Buena Vista, Orlando, Florida, USA)


A New Mutual Information based Similarity Measure for Medical Image Registration (2012-07)
Reel, Parminder Singh; Dooley, Laurence S. and Wong, Patrick
In : IET Image Processing Conference 2012 (3-4 Jul 2012, London)


A new cross-layer design strategy for TV white space cognitive radio applications (2011-11)
Martin, John; Dooley, Laurence and Wong, Patrick
In : International Workshop on Cross-Layer Design (30 Nov - 01 Dec 2011, Rennes, France)


Improved side information generation using adaptive overlapped block motion compensation and higher-order interpolation (2011-06-16)
Akinola, Mobolaji; Dooley, Laurence and Wong, Patrick
In : 18th International Conference on Systems, Signals and Image Processing (IWSSIP 2011) (16-18 Jun 2011, Sarajevo, Bosnia and Herzegovina)


Wyner-Ziv side information generation using a higher order piecewise trajectory temporal interpolation algorithm (2010-12-04)
Akinola, Mobolaji; Dooley, Laurence and Wong, Patrick
In : 2010 International Conference on Graphic and Image Processing (ICGIP 2010) (4-5 Dec 2010, Manila, Philippines)


High-motion table tennis ball tracking for umpiring applications (2010-10)
Wong, Patrick and Dooley, Laurence
In : IEEE 10th International Conference on Signal Processing (24-28 Oct 2010, Beijing, China)


Developing an Intelligent Table Tennis Umpiring System: Identifying the ball from the scene (2008-05)
Wong, Patrick K. C.
In : 2008 Second Asia International Conference on Modelling & Simulation (13-15 May 2008, Kuala Lumpur, Malaysia)


Developing an intelligent table tennis umpiring system (2007-07-03)
Wong, Patrick
In : International Conference on Intelligent Systems and Agents 2007 (3-5 Jul 2007, Lisbon, Portugal)


Developing an intelligent assistant for table tennis umpires (2007-03-27)
Wong, Patrick K. C.
In : First Asia International Conference on Modelling and Simulation (AMS'07) (27-30 Mar 2007, Phuket, Thailand) (pp. 340-345)


Non-Destructive evaluation using ultrasonic technique and distributed Blackboard System (2002-12)
Wong, K.C.P.
In : 22nd SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence (Dec 2002, Cambridge, UK)


DARBS: A Distributed Blackboard System (2001-12)
Nolle, L.; Wong, K.C.P. and Hopgood, A.A.
In : 21st SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence (10-12 Dec 2001, Cambridge, UK) (pp. 161-170)


Development of a distributed knowledge-based system (2001-06)
Wong, K.C.P.; Nolle, L. and Hopgood, A.A.
In : International Conference on Artificial Intelligence 2001 (25-28 Jun 2001, Las Vegas, Nevada, USA) (pp. 1219-1224)


Digital measurement of lightning impulse parameters using curving fitting algorithms (1999-08)
Wong, K. C. P.; Ryan, H. M.; Tindle, J.; Blackett, J. and Watts, M. W.
In : Eleventh International Symposium on High-Voltage Engineering (23-27 Aug 1999, London, UK) (pp. 1.193-1.196)


Today's problems with the evaluation methods of full lightning impulse parameters as described in IEC 60060-1 (1999)
Berlijn, S.; Kvarngren, M.; Garnacho, F.; Simon, P.; Gockenbach, E.; Werle, P.; Hackemack, K.; Wong, K. C. P. and Watts, M.
In : Eleventh International Symposium on High-Voltage Engineering (23-27 Aug 1999, London, UK) (pp. 1.49-1.52)


An investigation into the relevancy of the wave shape parameters used for lightning impulse tests (1998)
Benda-Berlijn, Sonja; Kvarngren, Mats; Garnacho, Fernando; Gonzalez, Antonio; Simon, Pascual; Gockenbach, Ernst; Werle, Peter; Hackemack, Klaus; Watts, Malcolm and Wong, Patrick
In : CIGRE Working Group 03, Study Committee 33, High Voltage Test and Measuring Techniques (8 Jul 1998)


Update of an early warning fault detection method using artificial intelligence techniques (1997)
Wong, K. C. P.; Ryan, H. M. and Tindle, J.
In : IEE Colloquium on Operational Monitoring of Distribution and Transmission Systems (28 Jan 1997, London, UK) (pp. 5/1-5/6)


Power system fault prediction using artificial neural networks (1996-09)
Wong, K. C. P.; Ryan, H. M. and Tindle, J.
In : 1996 International Conference on Neural Information Processing (24-27 Sep 1996, Hong Kong) (pp. 1181-1186)


Early warning fault detection using artificial intelligent methods (1996)
Wong, K. C. P.; Ryan, H. M. and Tindle, J.
In : 31st Universities Power Engineering Conference '96 (18-20 Sep 1996, Iraklio, Crete, Greece) (pp. 949-952)


A unified model of the electrical power network (1995)
Wong, K. C. P.; Ryan, H. M. and Tindle, J.
In : 30th Universities Power Engineering Conference (5-7 Sep 1995, Greenwich, London, UK) (pp. 599-602)