People

Dr Muhammad Shehu Abubakar-Sadiq

Profile for Muhammad Sadiq

School/Department: Computing and Mathematical Sciences, School of

Email: [email protected]

Profile

Dr Sadiq is a Teaching staff in Cyber Security at the University of Leicester, where he delivers undergraduate and postgraduate modules across cyber security, information security and computer science.
He holds a BSc in Computer Science (Digital Systems Security) from the University of Wollongong, Australia, an MSc in Business Information Systems from the University of East London, and a PhD in Computer Science (Information Systems Security) from the University of Porto, Portugal. His doctoral research focused on establishing secure and privacy-preserving digital identity using Self-Sovereign Identity.
Before joining Leicester, he was a Cyber Security Post-Doctoral Research Fellow at the Surrey Centre for Cybersecurity, University of Surrey within the £6M DECaDE research centre, and has also worked as a Fraud Prevention Consultant for Apple Inc., a Pioneer Language Engineer for Google Search (Sub-Saharan African), an External Researcher at INESC TEC Porto, and a Lecturer at Bayero University Kano. His research and consultancy interests span decentralised identity, privacy-preserving systems, consumer data protection, fraud risk, and regulatory compliance.

Publications

Dr Sadiq's research has been published in leading cyber security and privacy venues, including IEEE EuroS&PW, Springer LNCS, and IEEE SmartNets. His work focuses on decentralised identity, privacy-preserving reputation systems, GDPR-compliant architectures, and secure digital provenance.
Selected publications include:
  • Shehu, A.S. & Schneider, S. (2025). Decentralised supply chain reputation: A privacy and self-sovereign identity perspective. IEEE EuroS&PW, 474–484.
  • Fraser, A., Shehu, A.S., Frymann, N., Haynes, P., & Schneider, S. (2025). Privacy-Preserving Photo Sharing: An SSI Use Case. ICISS 2024, Springer LNCS 15416, 320–329.
  • Shehu, A.S. (2024). On the Compliance of Self-Sovereign Identity with GDPR Principles: A Critical Review. arXiv:2409.03624.
  • Shehu, A.S., Pinto, A., & Correia, M.E. (2023). SPIDVerify: A secure and privacy-preserving decentralised identity verification framework. IEEE SmartNets 2023.
A full list of publications is available on Google Scholar

Supervision

I have supervised over a dozen Post graduate students. 

Teaching

Co-Convener CO2115 Information Security Fundamentals 2025-26 SEM2

Co-Convener CO2302 Software Engineering 2025-26 SEM2

Convener CO 1101 Computing Fundamentals

Evaluator CO 7262 AI Security, Ethics and Management

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