Projects and research

From problem to approach,
from approach to verifiable output.

Selected work across artificial intelligence, digital transformation, education technology and digital forensics. Each item is identified according to its available evidence as a professional case, development work or conceptual research.

Higher Education and Digital Transformation

AI-Enabled University Transformation

Problem: University initiatives in AI, data, smart campus and digital services often progress in isolation, without measurement or shared governance.
Approach: An integrated model connects student experience, academic production, administration, data and campus life around a shared target state.
Defined scope of work: AI use cases, prioritisation model, target architecture, governance framework and phased transformation roadmap.
Presentation type / status: Research and target-model development
My focus: Strategy, research and target-model design
Who benefits?: University leadership, IT and transformation teams.

Education Technology and AI

Personalised Learning and Intelligent Education Systems

Problem: Standard educational content cannot respond equally to differences in learners' pace, level, goals and development needs.
Approach: A product model combines student experience, educator support, assessment and progress monitoring within a personalised learning approach.
Defined scope of work: Learning experience design, AI use cases, product scope, assessment approach and impact model.
Presentation type / status: Product development and research
My focus: Product vision, learning experience and solution design
Who benefits?: Teams developing learning experiences and AI-enabled education products.

Digital Forensics

Technical Examination of Blockchain and Crypto-Asset Transactions

Problem: Blockchain records, address relationships, platform data and legal allegations are distinct evidence layers; conflating them can create false certainty.
Approach: A reproducible method verifies transactions, separates data layers, considers alternative explanations and states technical limits clearly.
Produced output: Technical report, transaction and relationship analysis, verifiable findings, explicit limits and additional data needs.
Presentation type / status: Anonymised professional work example
My focus: Technical examination, verification and findings reporting
Who benefits?: Legal professionals who need a technically bounded expert assessment.

View the anonymised case ↗

Enterprise Artificial Intelligence

Secure and Governable Enterprise AI Systems

Problem: Enterprise AI experiments are often launched without aligning business objectives, data quality, security, cost and ownership.
Approach: Product value, user needs, data, governance, security and operational sustainability are evaluated within one framework.
Defined scope of work: AI product assessment, MVP scope, target architecture, risk and cost view, and phased implementation plan.
Presentation type / status: Architecture research and productisation
My focus: Product strategy, governance and system design
Who benefits?: Institutions moving AI experiments into secure, measurable operation.

IT Management and Operations

Intelligent IT Asset and Service Management

Problem: When technology assets, users, service requests and operational decisions remain in separate systems, visibility and institutional control weaken.
Approach: An integrated process and platform model connects assets, services, organisation and operational data.
Defined scope of work: Process model, product scope, management view, integration approach and phased development plan.
Presentation type / status: Product development
My focus: Process analysis, project management and product development
Who benefits?: IT teams seeking shared asset, service and operational visibility.

International Education Technology

Student-Centred University Discovery and Education Guidance

Problem: Students comparing international education options face fragmented, uncertain and poorly contextualised information.
Approach: A platform and business-model study connects educational goals, university data and decision support in a student-centred experience.
Conceptual scope: Business model, product scope, user journey, data approach and decision-support framework.
Presentation type / status: Conceptual research; not presented as a case
My focus: Business-model research, product design and user experience
Who benefits?: Teams building student-centred education guidance and decision support.

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