Dr Matt Roach

Associate Professor

Computer Science

+44 (0) 1792 606662

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Office - 222
Second Floor
Computational Foundry
Bay Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0002-1486-5537

Google Scholar

About

Dr Matt Roach is an Associate Professor in Computer Science at Swansea University and an established leader in research and Innovation. His multidisciplinary interests focus on the intersection of people, algorithms and data, themes include: Machine Learning; Algorithmic Bias, Fairness; Pervasive & Persuasive Computing; Human Computer/Data Interaction; Participatory Design; Socio-Technical Decision-Making Systems; Socio-Technical Behaviour Change Systems. Matt’s main work is in the domains of Health & Wellbeing, Smart Cities, Digital Economy. Matt is Co-PI on TANGO an €8M EU Horizon project establishing a deep mutual understanding between humans and machines that will enhance reasoning and hybrid decision-making. Matt leads a consortium “Technology Specialist Evolution Team” to evaluate projects funded by the Artificial Intelligence in Health and Care Award (AI Award) a UK national investment in accelerating AI into healthcare commissioned by the Secretary of State for health and Social Care. Matt has been an investigator on £1.5m Innovate UK funded projects, applying machine learning to the challenges of smart city traffic management and fraud detection. Matt has extensive experience in securing collaborative research and Innovation funding, and leading business engagement activities: on the £31M Computational Foundry and the £1.2M EPSRC Data Release: Trust, Identity, Privacy and Security projects. He has leadership roles in doctoral training initiatives: convening the Wales ESRC Wales Doctoral Training Partnership Digital Economy Pathway and retaining a management role on of the £11m EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems. Prior to becoming a full-time academic, Matt completed a management role in a knowledge exchange project, up-skilling 350 software professionals and 2900 business owners in computing skills, resulting in £40m uplift in national GVA. He also worked for a decade in industry as a Founder, Director and CEO of software development companies.

Areas Of Expertise

Machine Learning
Algorithmic Bias, Fairness, Interpretation.
Pervasive & Persuasive Computing
Human Computer/Data Interaction
Participatory Design
Socio-Technical Decision-Making Systems
Domains: Health & Well being, Smart Cities, Digital Economy

Career Highlights

Teaching Interests

Further to teaching on modules listed below Matt is also:

The Head of Employability for Computer Science.
The Lead for the Annual Masters' Conference.
The Lead for the Annual Undergraduate Computer Science Project Fair. http://cs.swansea.ac.uk/~csprojectfair/

Research Collaborations

Publications

Research Highlights

Wilson, B., Scott, D., Roach, M., Nielsen, E., & Muller, B. (2024). Designing for Situated AI-Human Decision Making: Lessons Learned from a Primary Care Deployment. In Proceedings of the 1st International Workshop on Designing and Building Hybrid Human–AI Systems (SYNERGY 2024), Arenzano (Genoa), Italy, June 03, 2024.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67653
https://ceur-ws.org/Vol-3701/paper11.pdf
Nielsen, E., Owen, T., Roach, M., & Dix, A. (2024). Synthetic Patient Perspective Data for the Curation and Evaluation of Rare Disease Patient-Facing Technology. In Editors: Xianghua Xie, Iain Styles, Gibin Powathil, Marco Ceccarelli (Ed.), Lecture Notes in Computer Science (pp. 330-343). Springer Nature Switzerland
https://doi.org/10.1007/978-3-031-67285-9_24, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67635
http://dx.doi.org/10.1007/978-3-031-67285-9_24
Dix, A., Roach, M., Turchi, T., Malizia, A., & Wilson, B. (2024). Designing and Building Hybrid Human-AI Systems (SYNERGY 2024). In Proceedings of the 2024 International Conference on Advanced Visual Interfaces, Genoa, Italy. (pp. 1-4). ACM.
https://doi.org/10.1145/3656650.3660537, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67634
http://dx.doi.org/10.1145/3656650.3660537
Nielsen, E., Owen, T., Roach, M., & Dix, A. (2023). A Patient Centred Approach to Rare Disease Technology. In Albrecht Schmidt, Kaisa Vaananen (Ed.), Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-7). ACM.
https://doi.org/10.1145/3544549.3585826, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67633
Nielsen, E., Owen, T., Roach, M., & Dix, A. (2023). Simulating the Rare Disease Diagnostic Journey. In Alan Dix, Marco Winckler, Matt Jones (Ed.), Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems (pp. 79-81). ACM.
https://doi.org/10.1145/3596454.3597188, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67631

All Research

Journal Articles

Vessio, M., Beckmann, A., Roach, M., Saintier, S., Clements, R., & Setzer, A. (2024). In Perpetuity {Challenging Misperceptions of the Term ‘Smart Contract’}. European Journal of Law and Technology, 15(2)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67545
Lakshmanan, K., Roach, M., Giannetti, C., Bhoite, S., George, D., Mortensen, T., Manduhu, M., Heravi, B., Kariyawasam, S., & Xie, X. (2023). A Robust Vehicle Detection Model for LiDAR Sensor Using Simulation Data and Transfer Learning Methods. AI, 4(2), 461-481.
https://doi.org/10.3390/ai4020025, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63515
Alharbi, M., Roach, M., Cheesman, T., & Laramee, B. (2021). VNLP: Visible natural language processing. Information Visualization, 20(4), 245-262.
https://doi.org/10.1177/14738716211038898, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57876
Zhao, F., Roach, M., Xie, X., & Roach, M. (2015). Computer Vision Techniques for Transcatheter Intervention. IEEE Journal of Translational Engineering in Health and Medicine
https://doi.org/10.1109/JTEHM.2015.2446988, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22239
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7128336&queryText%3Dswansea+university
Pierre, M., Matthew, R., John, M., & Roach, M. (2001). Visual Form 2001. Lecture notes in computer science
https://doi.org/10.1007/3-540-45129-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39133

Authored Books

Martin-Granel, P., Roach, M., Mason, J., & Roach, M. (2001). Camera motion extraction using correlation for motion-based video classification
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39134
http://www.scopus.com/inward/record.url?eid=2-s2.0-84957596092&partnerID=MN8TOARS

Book Chapters

Nielsen, E., Owen, T., Roach, M., & Dix, A. (2024). Synthetic Patient Perspective Data for the Curation and Evaluation of Rare Disease Patient-Facing Technology. In Editors: Xianghua Xie, Iain Styles, Gibin Powathil, Marco Ceccarelli (Ed.), Lecture Notes in Computer Science (pp. 330-343). Springer Nature Switzerland
https://doi.org/10.1007/978-3-031-67285-9_24, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67635
http://dx.doi.org/10.1007/978-3-031-67285-9_24

Conference Contributions

Wilson, B., Scott, D., Roach, M., Nielsen, E., & Muller, B. (2024). Designing for Situated AI-Human Decision Making: Lessons Learned from a Primary Care Deployment. In Proceedings of the 1st International Workshop on Designing and Building Hybrid Human–AI Systems (SYNERGY 2024), Arenzano (Genoa), Italy, June 03, 2024.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67653
https://ceur-ws.org/Vol-3701/paper11.pdf
Dix, A., Roach, M., Turchi, T., Malizia, A., & Wilson, B. (2024). Designing and Building Hybrid Human-AI Systems (SYNERGY 2024). In Proceedings of the 2024 International Conference on Advanced Visual Interfaces, Genoa, Italy. (pp. 1-4). ACM.
https://doi.org/10.1145/3656650.3660537, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67634
http://dx.doi.org/10.1145/3656650.3660537
Dix, A., Wilson, B., Roach, M., Turchi, T., & Malizia, A. (2024). Epistemic Interaction – tuning interfaces to provide information for AI support. In Proceedings of the 1st International Workshop on Designing and Building Hybrid Human–AI Systems (SYNERGY 2024), Arenzano (Genoa), Italy, June 03, 2024.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67757
https://ceur-ws.org/Vol-3701/paper3.pdf
Nielsen, E., Owen, T., Roach, M., & Dix, A. (2023). Simulating the Rare Disease Diagnostic Journey. In Alan Dix, Marco Winckler, Matt Jones (Ed.), Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems (pp. 79-81). ACM.
https://doi.org/10.1145/3596454.3597188, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67631
Nielsen, E., Owen, T., Roach, M., & Dix, A. (2023). A Patient Centred Approach to Rare Disease Technology. In Albrecht Schmidt, Kaisa Vaananen (Ed.), Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-7). ACM.
https://doi.org/10.1145/3544549.3585826, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67633
Doneddu, D., Roach, M., Jones, M., Pearson, J., Blandin, A., & Sullivan, D. (2023). A position on establishing effective explanations from human-centred counterfactuals for automated financial decisions. In Berndt Müller (Ed.), Proceedings of the AISB 2023 Convention, Swansea University, Swansea, Wales, April 13-14 2023 (pp. 89-97). AISB.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64477
https://aisb.org.uk/wp-content/uploads/2023/05/aisb2023.pdf
Thomas, L., Edwards, M., Capsey, A., Rahat, A., & Roach, M. (2022). Deep Visual Place Recognition for Waterborne Domains. In 2022 IEEE International Conference on Image Processing (ICIP). 16-19th October Bordeaux, France.IEEE.
https://doi.org/10.1109/icip46576.2022.9897962, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60685
https://ieeexplore.ieee.org/xpl/conhome/9897158/proceeding
Jain, P., Blandin, A., O'Neill, J., Perry, M., Ibtasam, S., Shahid, S., Chugh, B., Sullivan, D., Candello, H., Pomeroy, J., Jain, R., Dowd, R., Roach, M., & Jones, M. (2022). Platformisation of Digital Financial Services (DFS): The Journey of DFS in the Global North and Global South. In CHI Conference on Human Factors in Computing Systems Extended AbstractsACM.
https://doi.org/10.1145/3491101.3516507, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59931
Roach, M., D'Cruze, T., Smith, G., Brookes, P., Laramee, R., Roberts, R., & Roach, M. (2018). A Tale of Two Visions - Exploring the Dichotomy of Interest between Academia and Industry in Visualisation. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 319-326).
https://doi.org/10.5220/0006635803190326, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52047
Roach, M., Mason, J., Xu, L., & Roach, M. (2002). Video genre verification using both acoustic and visual modes. In Proceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002
https://doi.org/10.1109/MMSP.2002.1203271, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39132
http://www.scopus.com/inward/record.url?eid=2-s2.0-84942249181&partnerID=MN8TOARS
Roach, M., Brand, J., & Mason, J. (2002). Acoustic and facial features for speaker recognition. In Proceedings 15th International Conference on Pattern Recognition. ICPR-2000IEEE Comput. Soc.
https://doi.org/10.1109/icpr.2000.903534, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39141
http://dx.doi.org/10.1109/icpr.2000.903534
Roach, M., Mason, J., & Pawlewski, M. (2001). Video genre classification using dynamics. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39139
http://www.scopus.com/inward/record.url?eid=2-s2.0-0034853004&partnerID=MN8TOARS
Roach, M., Mason, J., Pawlewski, M., & Roach, M. (2001). Motion-based classification of cartoons. In Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39137
http://www.scopus.com/inward/record.url?eid=2-s2.0-84872354191&partnerID=MN8TOARS
Brand, J., Mason, J., Roach, M., Pawlewski, M., & Roach, M. (2001). Enhancing face detection in colour images using a skin probability map. In Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39136
http://www.scopus.com/inward/record.url?eid=2-s2.0-84872329448&partnerID=MN8TOARS
Roach, M., Brand, J., Mason, J., & Roach, M. (2000). Acoustic and facial features for speaker recognition. In Proceedings - International Conference on Pattern Recognition
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39140
http://www.scopus.com/inward/record.url?eid=2-s2.0-33750924999&partnerID=MN8TOARS

Other Research Outputs

M.J, R., M, P., & Roach, M. (2002). 'Image Characterisation' Patent number WO0239386
https://doi.org/10.1023/A:1021309123214, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39128
M, J., John, M., & Roach, M. (2002). Video Genre Verification using both Acoustic and Visual Modes
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39131
M, J., J.S.D., M., Li-Qun, X., Fred, S., & Roach, M. (2002). Recent trends in video analysis: A taxonomy of video classification problems
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39130
Matthew, R., Li-qun, X., John, M., Martlesham, H., Ipswich, I., & Roach, M. (2002). Classification of Non-edited Broadcast Video Using Holistic Low-level Features
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39129
M., R., J.S., M., M., P., & Roach, M. (2001). Motion-based classification of cartoons
https://doi.org/10.1109/ISIMP.2001.925353, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39142
M, J., J.S.D., M., M., P., & Roach, M. (2001). Video Genre Classification using Dynamics
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39138
M, J., John, M., & Roach, M. (2001). Classification of Video Genre using Audio
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39135

Supervision

Untitled (current)

PhD

Other supervisor: Prof Mike Jennings
Dispelling the 'Fog of War': Contextualising Misinformation in Conflict Zones (current)

PhD

Other supervisor: Dr Nicholas Micallef
Developing Data Driven PROMs through Agile Participatory Design and Evaluations of Inclusive Digital Interventions to Support Patient Lead Cancer Care Pathway Improvements (current)

PhD

Other supervisor: Prof Simon Robinson
The Nefarious use of Out-linking on Twitter. (current)

PhD

Other supervisor: Dr Lella Nouri

Other supervisor: Dr Lella Nouri

Other supervisor: Dr Alma Rahat
Developing Trust in Algorithmically-Driven Services by Enhancing Explainable and Fair Machine Learning Through Co-Creation and Customer Interactions (current)

PhD

Other supervisor: Prof Jen Pearson

Other supervisor: Prof Simon Robinson

Other supervisor: Prof Matt Jones
User Centred Design Approach to Designing and Evaluating Fair Unbiased AI-Driven Models in Socio-Technical Decision Support Systems. (current)

PhD

Other supervisor: Dr Muneeb Ahmad
Hybrid Human-Algorithm Systems to Support Situated Clinical Decision-Making: A case study in dispatch of pre-hospital critical care (current)

PhD

Other supervisor: Dr Alma Rahat
Beyond Rare Disease Patients: Exploring Machine Learning Interventions To Support People Experiencing a Diagnostic Odyssey (awarded 2024)

PhD

Other supervisor: Dr Tom Owen
Deep Visual Place Recognition for Shoreline Imagery (current)

PhD

Other supervisor: Dr Alma Rahat
Navigating Filter Bubbles: A Multidimensional Analysis of User Behavior and Cross-Cultural Impacts (current)

PhD

Other supervisor: Dr Muneeb Ahmad
Designing Novel Approaches to Personalise Behaviour Change in Intelligent Systems (awarded 2024)

PhD

Other supervisor: Dr Chat Wacharamanotham

Other supervisor: Dr Stephen Lindsay

Taught Modules

CSCM010 Research Methods

This module will introduce students to fundamental research methodologies and good practice in research. Students will read research papers and learn how to write a research survey, a literature review and how to develop and specify the aims for an MSc project.
CSCM10 Computer Science Project Research Methods

This module will introduce students to some fundamental research methodologies and good practice in research. They will undertake background research including a literature review and specify the aims of their MSc project.
CSCM10J Computer Science Project Research Methods

This module will introduce students to some fundamental research methodologies and good practice in research. They will undertake background research including a literature review and specify the aims of their MSc project.

Key Grants and Projects

It takes two to TANGO: A synergistic approach to human-machine decision-making 2023 - 2028

TANGO research aims to develop theoretical foundations and computational frameworks for synergistic human-machine decision-making. Real-world use cases will demonstrate synergistic AI systems strengthening European leadership in human-centred AI., with Alan Dix, Ben Wilson, TANGO is a €7M EU-funded Horizon Europe project.
Lead TEST (Technology Specific Evaluation Teams) consortium. TEC Cymru, Health Technology Wales and Bold Insight. 2022 - 2024

This is a peer-reviewed group of experienced health technology evaluators commissioned by Accelerated Access Collaborative (AAC) in partnership with NHSX and the National Institute for Health Research (NIHR). , with Bertie Muller, Ben Wilson, Darren Scott, Emily Neilson., NHS, Accelerating AI commissioned by the Secretary of State for Health and Social Care. (~£800k)
Circular Revolution: Driving the Transition to a Circular Economy 2021 - 2023

Transition of businesses in Wales to a Circular Economy. Advocating for the radical redesign of how we produce and deliver products and services, the Circular Economy challenges the notion that materials, products and resources can have an ‘end-of-life', with Arnold Beckmann, Gavin Bunting, Stefano Barazza, Max Green, I. Ananth, S. Georgiou , £2.3m part-funded by the European Regional Development Fund
PARSER: Parking and AiR pollution SEnsoRs for Smart Cities 2019 - 2021

Matt is PI on this collaborative industrial research project led by Vortex IoT. The aim is to develop a scalable, fully integrated solution to tackle the combined problems of urban parking, air and noise pollution for international market., Total Project Value £980k (£320k FEC Swansea) funded by Innovate UK, Collaborative R&D Grant.
Trade Finance Fraud Detection Project in Dual Use Goods with Machine Learning and Visual Analytics. 2019 - 2020

Matt is Co-I on a collaborative project led by Traydstream on Fraud Detection for the Finance Sector., with Xianghua Xie, Total Project Value £500k (£172k FEC Swansea). Funded by an Innovate UK Collaborative R&D Grant.
EPSRC Centre for Doctoral Training in Enhancing Human interactions and Collaborations with Data and Intelligence Driven Systems 2020 - 2028

Matt is Strategic Engagement Lead for the Centre, which will nurture PhD researchers who can ensure applications of big data and machine intelligence are underpinned by innovations that prioritise human values, experience and capabilities., with Matt Jones, Markus Roggenbach, Jen Pearson, Simon Robinson, Sherryl Belfeild and others., £11m EPSRC Doctoral Training Centre, supported by many external sponsors.
ESRC Wales Doctoral Training Partnership 2017

Matt is the Convener of the Digital Economy and Society pathway, which focuses training social scientists on how human needs and values drive developments in digital technology and their applications. It draws on a research record from Swansea and Cardiff., with Matt Jones, Matt Williams (Cardiff University), Pathway investment of approximately £500k. Funded by ESRC and supported external sponsors.

Affiliated Positions

Expert Reviewer, Not -Equal Network

2019 - Present
Member, Association for Computing Machinery

2019 - Present

Dr Matt Roach

Telephone number

Email address

Twitter Account

LinkedIn Account

Research Links

About

Areas Of Expertise

Career Highlights

Research Highlights

All Research

Untitled (current)

Dispelling the 'Fog of War': Contextualising Misinformation in Conflict Zones (current)

Developing Data Driven PROMs through Agile Participatory Design and Evaluations of Inclusive Digital Interventions to Support Patient Lead Cancer Care Pathway Improvements (current)

The Nefarious use of Out-linking on Twitter. (current)

Developing Trust in Algorithmically-Driven Services by Enhancing Explainable and Fair Machine Learning Through Co-Creation and Customer Interactions (current)

User Centred Design Approach to Designing and Evaluating Fair Unbiased AI-Driven Models in Socio-Technical Decision Support Systems. (current)

Hybrid Human-Algorithm Systems to Support Situated Clinical Decision-Making: A case study in dispatch of pre-hospital critical care (current)

Beyond Rare Disease Patients: Exploring Machine Learning Interventions To Support People Experiencing a Diagnostic Odyssey (awarded 2024)

Deep Visual Place Recognition for Shoreline Imagery (current)

Navigating Filter Bubbles: A Multidimensional Analysis of User Behavior and Cross-Cultural Impacts (current)

Designing Novel Approaches to Personalise Behaviour Change in Intelligent Systems (awarded 2024)

CSCM010 Research Methods

CSCM10 Computer Science Project Research Methods

CSCM10J Computer Science Project Research Methods

Lead TEST (Technology Specific Evaluation Teams) consortium. TEC Cymru, Health Technology Wales and Bold Insight. 2022 - 2024

PARSER: Parking and AiR pollution SEnsoRs for Smart Cities 2019 - 2021

Trade Finance Fraud Detection Project in Dual Use Goods with Machine Learning and Visual Analytics. 2019 - 2020

Expert Reviewer, Not -Equal Network

Member, Association for Computing Machinery