Robert Cowlishaw
Full Stack Software and Aerospace Engineer
Full Stack Software and Aerospace Engineer
Development of Distributed Ledger Technology (DLT) and other Web3 systems from the architecture itself to Smart Contracts executed upon blockchains.
Researching and optimising the current Satellite-based Emergency Mapping protocols to provide Earth Observation information faster to those who need it. Looking at a range of natural disasters from Earthquakes and Tropical Cyclones to Flooding and Droughts in the Copernicus and ICSMD protocols.
Automating Earth Observation analytics for Natural Disaster Response and Agricultural predictions. From classification and segmentation tasks to knowledge extrapolation using LLMs.
Once the DLT architecture is built, I build bridges between Web2 and Web3 to help regular users connect to the next generation of the internet securely and safely.
Investigating the actual impact of Oil and Gas regulations on emissions in the North Sea. Working with the Financial Regulation Innovation Lab to provide technical background in Earth Observation and other related technologies.
Developing the Open-Source project for finding consensus in Space with distributed technologies
Research into Decentralised Federated Learning for Crop Yield detection with Earth Observation
Research on Satellite-based Emergency Mapping Automation and Decentralisation with Distributed Ledger Technologies
Achieved Distinction in my Masters Degree in Aero-Mechanical Engineering
Exchange as part of my Masters Degree in Aero-Mechanical Engineering
My PhD work is all published open source as well as code on github and datasets through multiple streams.
The goal of this open-source project is to decentralise and automate the current process of Space Situational Awareness data delivery for Satellite Traffic Management and Satellite-based Emergency Mapping data production.
Monitoring North Sea Oil Platforms and FPSOs to understand the actual impact of Oil and Gas regulations on their emissions.
European Space Agency Φ-lab research and development project to create a Decentralised Federated Learning system for privatised copy yield estimation and to understand the effects of scale on such a protocol.
This project was part of the Cognitive Cloud Computing in Space Tender with the European Space Agency.
Earth Observation datasets across different regions for crop type and crop yield mapping
A frontend and backend sandbox to help with smart contract development on any language that allows Solidity to execute.
Simple and highly adaptable blockchain indexer or data cacher for a variety of blockchains based around EVM.
A Solidity library for doing matrix maths. This is difficult as Solidity does not allow floating point numbers
A method to find different and new orbit shapes in different n-body scenarios