Professor Aad van Moorsel PhD

Professor Aad van Moorsel

School of Computer Science
Head of School of Computer Science
Chair in Decentralised Systems

Contact details

School of Computer Science
University of Birmingham
B15 2TT

Aad van Moorsel is Professor and Head of the School of Computer Science at University of Birmingham. He is the Principal Investigator of UKFin, the UKRI EPSRC Network in Financial Services, which kicks off September 2022 to provide an interface between academia and industry.

In his current research he is spearheading efforts in financial inclusion in collaboration with Atom Bank and the Bill & Melinda Gates Foundation. He is a Fellow of the Turing Institute and has led large interdisciplinary research projects for a total of over £20m throughout his career.

Prior to joining Birmingham he established Newcastle University's NCSC/EPSRC Academic Centre of Excellence in Cyber Security Research and pioneered degree apprenticeships as Director of the Institute of Coding at Newcastle.

During his time at Lucent Technologies/Bell Labs Research and HP Labs he gained ample experience of industry-style research and research management, and he co-founded the startup CloudIdentity Ltd in human-centric identity management, which since has been successfully sold.

He is the author of over 200 peer-reviewed research articles and of 4 US patents.  For Professor Aad van Moorsel's publications, please see Aad's Google Scholar profile.


Recent publications


Toreini, E, Mehrnezhad, M & van Moorsel, A 2024, 'Fairness as a Service (FaaS): verifiable and privacy-preserving fairness auditing of machine learning systems', International Journal of Information Security, vol. 23, no. 2, pp. 981-997.

Elliott, K, Coopamootoo, K, Curran, E, Ezhilchelvan, P, Finnigan, S, Horsfall, D, Ma, Z, Ng, M, Spiliotopoulos, T, Wu, H & Van moorsel, A 2022, 'Know your customer: balancing innovation and regulation for financial inclusion', Data & Policy, vol. 4, e34.

Aitken, M, Ng, M, Horsfall, D, Coopamootoo, KPL, van Moorsel, A & Elliott, K 2021, 'In pursuit of socially-minded data-intensive innovation in banking: a focus group study of public expectations of digital innovation in banking', Technology in Society, vol. 66, 101666.

Elliott, K, Price, R, Shaw, P, Spiliotopoulos, T, Ng, M, Coopamootoo, K & van Moorsel, A 2021, 'Towards an equitable digital society: artificial intelligence (AI) and corporate digital responsibility (CDR)', Society, vol. 58, no. 3, pp. 179-188.

Aitken, M, Toreini, E, Carmichael, P, Coopamootoo, K, Elliott, K & van Moorsel, A 2020, 'Establishing a social licence for Financial Technology: Reflections on the role of the private sector in pursuing ethical data practices', Big Data and Society, vol. 7, no. 1.

Jarvis, S, Thomas, N & van Moorsel, A 2004, 'Open issues in grid performability', International Journal of Simulation: Systems, Science and Technology, vol. 5, no. 5, pp. 3-12.


Aitken, M, Ng, M, Toreini, E, Van moorsel, A, Coopamootoo, KPL & Elliott, K 2020, Keeping it Human: A Focus Group Study of Public Attitudes Towards AI in Banking. in Computer Security., Chapter 2, Computer Security, vol. 12580, pp. 21-38.

Conference contribution

Zilius, K, Spiliotopoulos, T & Moorsel, AV 2023, A dataset of coordinated cryptocurrency-related social media campaigns. in Y-R Lin, M Cha & D Quercia (eds), Proceedings of the Seventeenth International AAAI Conference on Web and Social Media. Proceedings of the International AAAI Conference on Weblogs and Social Media., vol. 17, AAAI Press, pp. 1112-1121, Seventeenth International AAAI Conference on Web and Social Media (ICWSM 2023), Limassol, Cyprus, 5/06/23.

Wu, H, Zhao, Z, Chen, LY & van Moorsel, A 2022, Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. in 2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE). International Symposium on Software Reliability Engineering, IEEE, pp. 193-204.

Toreini, E, Aitken, M, Coopamootoo, K, Elliott, K, Zelaya, CG & van Moorsel, A 2020, The relationship between trust in AI and trustworthy machine learning technologies. in FAT* 2020 - Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. FAT* 2020 - Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, Association for Computing Machinery , pp. 272-283, 3rd ACM Conference on Fairness, Accountability, and Transparency, FAT* 2020, Barcelona, Spain, 27/01/20.


Ng, M, Coopamootoo, KPL, Toreini, E, Aitken, M, Elliot, K & Van moorsel, A 2020, 'Simulating the Effects of Social Presence on Trust, Privacy Concerns & Usage Intentions in Automated Bots for Finance', Paper presented at 2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 7/09/20 - 11/09/20 pp. 190-199.


Ng, M, Coopamootoo, KPL, Spiliotopoulos, T, Horsfall, D, Aitken, M, Toreini, E, Elliott, K & Moorsel, AV 2022 'In private, secure, conversational FinBots we trust' arXiv.

Spiliotopoulos, T, Horsfall, D, Ng, M, Coopamootoo, K, Moorsel, AV & Elliott, K 2021 'Identifying and supporting financially vulnerable consumers in a privacy-preserving manner: a use case using decentralised identifiers and verifiable credentials' arXiv.

Toreini, E, Aitken, M, Coopamootoo, KPL, Elliott, K, Zelaya, VG, Missier, P, Ng, M & Moorsel, AV 2020 'Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context' arXiv.

Elliott, K, Aitken, M, van Moorsel, A & Toreini, E 2019 'The relationship between trust in AI and trustworthy machine learning technology'. <>

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