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@mikeqfu
mikeqfu
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Qian Fu mikeqfu

Research Fellow in data integration & analytics | CoSeC Fellow

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@UoB-BCRRE

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mikeqfu/README.md

🔬 Postdoctoral researcher specialising in data integration & analytics.
🌱 Developing and maintainingPyHelpers,PyDriosm andPyRCS.
🛠️ Solving real-world transport challenges with data-driven solutions.
📚 Exploring advanced techniques in data science.

I'm passionate about making data science tools more accessible to the transport research community—bridging the gap between complex methodologies and real-world applications. I'm also working to enhance open-source Python tools for transport data analysis, scalable computing and usability.

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Recent publications:

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  1. pydriosmpydriosmPublic

    PyDriosm: an open-source tool for downloading, reading and PostgreSQL-based I/O of OpenStreetMap data

    Python 48 13

  2. pyrcspyrcsPublic

    PyRCS: An open-source tool for collecting railway codes used in different UK rail industry systems

    Python 9 3

  3. pyhelperspyhelpersPublic

    PyHelpers: An open-source toolkit for facilitating Python users' data manipulation tasks

    Python 12 2

  4. network-rail-weather-rail-incident-predictionnetwork-rail-weather-rail-incident-predictionPublic

    A (prototype) model for prediction of weather-related rail incidents in Great Britain

    Python 1 1

  5. network-rail-track-fixity-layernetwork-rail-track-fixity-layerPublic

    This project develops a data mining tool for analysing and predicting track movements using asset data, environmental factors and track design knowledge to model key parameters and generate fixity …

    Python

  6. smart-home-product-reviews-analysissmart-home-product-reviews-analysisPublic

    Understanding user experience using text mining & analysis: A case study of Amazon.com reviews for smart-home products

    Python


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