Applied research
Explore. Test. Transfer.
Academic supervision of AI projects and technical mentoring. Students retain authorship of their work.
Proposed and supervised projects
Problem definition, method and evaluation. Academic research, with the status of each project stated below.
Blockchain and digital assets
Forecasting DeFi protocol activity
Time series and deep learning applied to DeFi protocol activity.
Final dissertation providedMethod and scope
Research proposal and academic supervision
Series preparation, explanatory variables, model comparison and temporal backtesting.
Includes academic development and results. Defence and production deployment are not verified here.
Document operations
Automated invoice processing
Information extraction from invoices using computer vision and OCR.
Reviewed draft with resultsMethod and scope
Research proposal and academic supervision
Image preparation, region detection, text extraction, evaluation and API exposure.
A reviewed dissertation draft; not evidence of a verified defence or commercial deployment.
Oil & Gas
Well behaviour with an active aquifer
Modelling well behaviour as extraction and reservoir conditions change.
Milestone document with resultsMethod and scope
Research proposal and academic supervision
MLP, LSTM, GRU and 1D CNN comparison using operational variables and production history.
Experimental results from an academic milestone. Defence and industrial validation are not verified.
Blockchain and behaviour analysis
Ethereum wallet segmentation
Unsupervised learning to identify transaction activity patterns.
Final dissertation providedMethod and scope
Research proposal and academic supervision
Feature engineering, PCA, clustering comparison and complementary graph analysis.
Academic development and evaluation; does not establish fraud detection or operational performance.
Supervision across disciplines
University documentation records three supervised projects with a registered defence.
Computer vision in agriculture
Banana leaf disease detection with convolutional networks and a mobile application.
Weather forecasting
Hyperlocal rainfall nowcasting.
Learning from imbalanced data
Resampling techniques for identifying potential personal-loan customers.
Independent academic assessment
18 assessment-panel participations
Reviewing questions, methods and evidence. This role is distinct from project supervision.
Academic work demonstrates research and supervision experience; it does not establish client deployments or industrial validation.
How we develop research questions
Think deeply. Build with purpose.
Understand the context, connect knowledge across sectors and test assumptions. We use AI to accelerate development while retaining responsibility for validation and decisions.