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Dr Immaculate Motsi

Lecturer
UNSW Canberra
School of Professional Studies

 

Dr Immaculate Motsi-Omoijiade is an education focused lecturer in Cybersecurity at the School of Professional Studies, UNSW Canberra. With over a decade of scholarly and industry expertise in the socio-technical dimensions of cybersecurity, Immaculate brings a multi-disciplinary, research-informed and commercially aware lens to her pedagogy, contributing to raising Australia’s sovereign capability in critical domains such as cybersecurity law, enterprise cybersecurity governance, and cybersecurity policy.

Prior to joining UNSW, Immaculate worked as the Responsible AI Lead at the AI and Cyber Futures Institute (AICF), Charles Sturt University (Canberra, AUS); an Analyst in Science and Emerging Technology at RAND Europe (Cambridge, UK); a Research Fellow in Emerging Technology at the Lloyds Banking Group Centre for Responsible Business, University of Birmingham Business School; and a Post-Doctoral Research Associate at the School of Law, University of Birmingham (Birmingham, UK). Immaculate has also worked as a Research Associate at the University of Cambridge Judge Business School, Centre for Alternative Finance and with the British Standards Institute's Technical Committee on Blockchain Standards, where she was part of select group of experts on the joint China/UK e-commerce working group.

Immaculate, who is an accredited Associate Fellow of the UK Higher Education
Academy (HEA), holds the following qualifications:

  • PhD in Law University of Warwick, School of Law (UK)
  • Master’s in Law (LLM) in Corporate Governance and Financial Regulation, the University of Warwick (UK)
  • Master’s in Public Policy (MPP) specialising in Economics, National University of Singapore (Singapore)
  •  Bachelor's degree (Hons) in Politics and International Relations from the University of Pretoria (South Africa)

 

Research Interests:

Artificial Intelligence, Cybersecurity, Blockchain, DLT, Cryptocurrency; DeFi; IoT; Metaverse: XR/AR/VR; Quantum Computing.

 

Research Methods:

qualitative analysis (NVIVO, structured and semi-structured interviews, case studies, focus groups, surveys, discourse analysis, meta-analysis); quantitative analysis (SPSS, regression analysis, python); analytical legal research; legal text analysis; AI-enabled data analysis (structured and unstructured)