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Creations

Creations

XAI Suite and Evidence-based AI validation tools

A cross-domain workbench for building, explaining and — critically — validating AI models before anyone trusts them. It couples model development with explainability outputs and an evidence-based assessment layer covering performance, calibration, uncertainty and reporting quality. Designed to be domain-agnostic: the same validation logic serves medical imaging, air quality, industrial and materials applications. The material presented on this page is credited to the teams and institutions within which it was developed. Unless explicitly stated otherwise, this entry documents my participation in the creation of the work and does not constitute a claim of ownership; intellectual property rights are generally held by the collaborating institutes, universities or funding organisations. For clarification regarding a specific creation, please contact me.

Creations

Explainable AI Suite for Nuclear Medicine

An end-to-end environment for developing and interrogating deep learning models on nuclear medicine and radiological images. It handles study import, model training and inference, and pairs every prediction with visual explanations, so that clinical users can see where the model looked rather than only what it decided. The material presented on this page is credited to the teams and institutions within which it was developed. Unless explicitly stated otherwise, this entry documents my participation in the creation of the work and does not constitute a claim of ownership; intellectual property rights are generally held by the collaborating institutes, universities or funding organisations. For clarification regarding a specific creation, please contact me.

Creations

Explainable AI Suite for Ophthalmic disease screening

A screening-oriented version of the suite, adapted to ophthalmic imaging. It supports automated detection of ocular disease from retinal images, presents case-level explanation maps alongside each result, and is structured around the workflow of a screening programme rather than a single-case reading. The material presented on this page is credited to the teams and institutions within which it was developed. Unless explicitly stated otherwise, this entry documents my participation in the creation of the work and does not constitute a claim of ownership; intellectual property rights are generally held by the collaborating institutes, universities or funding organisations. For clarification regarding a specific creation, please contact me.

Creations

Air Quality Sensor AI-assisted Calibration Suite

A dedicated tool for turning raw low-cost sensor output into reference-comparable data. It ingests sensor and co-located reference measurements, applies machine-learning correction models on top of the manufacturer algorithms, and reports how much the correction actually improves agreement — making calibration a documented, repeatable step instead of an ad-hoc one. The material presented on this page is credited to the teams and institutions within which it was developed. Unless explicitly stated otherwise, this entry documents my participation in the creation of the work and does not constitute a claim of ownership; intellectual property rights are generally held by the collaborating institutes, universities or funding organisations. For clarification regarding a specific creation, please contact me.

Creations

Smart Air Quality 2xPlus

The current generation of the Smart Air Quality platform, extending measurement into forecasting. Alongside real-time monitoring, it produces short-term pollutant predictions from the network’s own history, so that users get not only the present state of the air but a usable outlook on the hours ahead. The material presented on this page is credited to the teams and institutions within which it was developed. Unless explicitly stated otherwise, this entry documents my participation in the creation of the work and does not constitute a claim of ownership; intellectual property rights are generally held by the collaborating institutes, universities or funding organisations. For clarification regarding a specific creation, please contact me.

Creations

Smart Air Quality Plus

The intermediate generation of the platform: a consolidated monitoring system combining multi-pollutant low-cost sensing, automatic correction of the raw signals, and continuous delivery of quality-checked measurements to a central service for visualisation and analysis. The material presented on this page is credited to the teams and institutions within which it was developed. Unless explicitly stated otherwise, this entry documents my participation in the creation of the work and does not constitute a claim of ownership; intellectual property rights are generally held by the collaborating institutes, universities or funding organisations. For clarification regarding a specific creation, please contact me.

Creations

ENSENSIA mini

The compact member of the ENSENSIA family — a smaller, lower-cost and easier-to-deploy unit built for dense placement and indoor or personal-scale use, while remaining fully compatible with the same data pipeline, correction models and dashboards as the full system. The material presented on this page is credited to the teams and institutions within which it was developed. Unless explicitly stated otherwise, this entry documents my participation in the creation of the work and does not constitute a claim of ownership; intellectual property rights are generally held by the collaborating institutes, universities or funding organisations. For clarification regarding a specific creation, please contact me.

Creations

ENSENSIA

The flagship air quality monitoring node and the commercial face of the work. A self-contained multi-pollutant station that measures, corrects and transmits continuously, integrating sensing hardware, embedded processing and cloud connectivity into a single product intended for real deployments rather than lab demonstrations. The material presented on this page is credited to the teams and institutions within which it was developed. Unless explicitly stated otherwise, this entry documents my participation in the creation of the work and does not constitute a claim of ownership; intellectual property rights are generally held by the collaborating institutes, universities or funding organisations. For clarification regarding a specific creation, please contact me.

Creations

Smart Air Quality Ecosystem

The overall architecture that ties the individual pieces together: sensing nodes in the field, ingestion and storage, correction and modelling services, and the user-facing dashboards and maps. This entry describes how data moves from a sensor in the street to a decision on a screen. The material presented on this page is credited to the teams and institutions within which it was developed. Unless explicitly stated otherwise, this entry documents my participation in the creation of the work and does not constitute a claim of ownership; intellectual property rights are generally held by the collaborating institutes, universities or funding organisations. For clarification regarding a specific creation, please contact me.

Creations

Device Management

The administrative backbone of the network. A single interface for registering devices, tracking their configuration, location and health, and spotting units that have gone silent or started misbehaving — the unglamorous layer that makes running dozens of distributed instruments practical. The material presented on this page is credited to the teams and institutions within which it was developed. Unless explicitly stated otherwise, this entry documents my participation in the creation of the work and does not constitute a claim of ownership; intellectual property rights are generally held by the collaborating institutes, universities or funding organisations. For clarification regarding a specific creation, please contact me.

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