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STEM Faculty

Meet the people who make up STEM Faculty.

Kam Wong

Kam Wong

Senior Lecturer In Computing & Communications

computing-and-communications

Professional biography

Dr. Patrick Wong joined the Open University in December 1999 and is a senior lecturer at the School of Computing and Communications. Since 2023, he has been a Deputy Head of School and help managing the school. He is chairing the Next Generation Multimedia Research Group and has supervised 6 PhD students to completion. 
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), and is the guest editor of the special issue of Object Detection and Image Classification in the MDPI Applied Sciences journal. He also regularly reviews paper for a number of journals which includes IET Communications, IET Image ProcessingElsevier's Physics Letters APhysica and the MDPI Applied Sciences​ journa​l.
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.

Research interests

His research interests are in artificial intelligent applications, especially in computer vision applications, biometrics recognition, deepfake detection, 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 2024, he led a team competing at the Home Office's Deepfake Detection Challenge. His team came third in the image deepfake category. He is also a member of the Generative AI Specialist Advisory Group of the National Police Chiefs' Council.

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.

International links

Patrick is a member of the Editorial board of Emerald's Kybernetes (The international journal of cybernetics, systems and management sciences), and is the guest editor of the special issue of Object Detection and Image Classification in the MDPI Applied Sciences journal.

Between 2015 to 2018, he was an executive committee member of the IET's Vision and Imaging Professional network.

Latest publications

Displaying 10 of 58 publications

  • Ngwenya, D., Wong, P. and Kbaier, D., 2026, ‘Boundary Conditions for Semantic Log Parsing in Systems Observability Pipelines’, in SYSTOR '26: 19th ACM International Systems and Storage Conference, 8-9 Sep 2026, Virtual Event, Israel., https://oro.open.ac.uk/111858/.
  • Ngwenya, D., Kbaier, D. and Wong, P., 2026, ‘Controlled Granularity Tuning for Log-Based Anomaly Detection in Converged HPC-Cloud Environments’, in ICS Workshops '26: 2026 International Conference on Supercomputing Workshops, 06 Jul 2026-09 Jul 2026, Belfast, Northern Ireland, United Kingdom., https://oro.open.ac.uk/110883/.
  • Bharati, N., Wong, P., Kouadri Mostéfaoui, S., Kbaier, D. and Collie, J., 2026, ‘Explainable deepfake detection: A multi-model framework with human-interpretable rationales for legal investigation purposes’, Machine Learning with Applications, 23, https://oro.open.ac.uk/107983/.
  • Wong, P. and Zhao, Y. e., 2025, ‘Object Detection and Image Classification’, Basel, CH: MDPI., https://oro.open.ac.uk/107264/.
  • Hilliard, J., Kear, K., Donelan, H., Wong, P. and Heaney, C., 2025, ‘Supporting students’ emotion awareness and regulation during an online group project’, European Journal of Open, Distance and E-Learning, 27(2), https://oro.open.ac.uk/106638/.
  • Ngwenya, D., Kbaier, D. and Wong, P., 2025, ‘Toward LLM-Compatible Log Representation Learning: A Hierarchical Semantic-Structural Framework for HPC Anomaly Detection’, in 2025 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), 02-05 Sep 2025, Edinburgh, UK., https://oro.open.ac.uk/106587/.
  • Wong, P. and Zhao, Y., 2025, ‘Object Detection and Classification with Limited Training Data’, Applied Sciences, 15(12), https://oro.open.ac.uk/104756/.
  • Shahmiri, L., Wong, P. and Dooley, L. S., 2025, ‘A Gaussian Mixture Model and Mutual Information Guided Dataset Partitioning Algorithm for Convolutional Neural Network Training’, in The 25th International Conference on Digital Signal Processing (DSP 2025), 25-27 Jun 2025, Costa Navarino, Messinia, Greece., https://oro.open.ac.uk/104067/.
  • Wong, P., Myint, H., Dooley, L. and Hopgood, A., 2024, ‘A multi-view automatic table tennis umpiring framework’, Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 238(4), pp. 339–351., https://oro.open.ac.uk/88642/.
  • Hilliard, J., Donelan, H., Heaney, C., Kear, K. and Wong, P., 2023, ‘Using short questionnaires to support students' emotion awareness and regulation during an online group project’, in “Yes we can!” - Digital Education for Better Futures (EDEN 2023 Annual Conference), 18-20 Jun 2023, Dublin City University (DCU), Dublin, Ireland., https://oro.open.ac.uk/94048/.