# Data Flow Lab

> Data Flow Lab is an interdisciplinary research group at the University of Leeds (School of Computer Science) applying data science to micro-scale fluid/solid interactions: porous material modelling, vessel segmentation and flow modelling, and additive manufacturing.

The group is led by Arash Rabbani (https://www.arashrabbani.com). This site lists the group's research themes, publications, open-source code, tutorials, teaching, PhD/postdoc positions, BSc/MSc project ideas, people and how-to guides.

Content on every page is public and may be quoted with attribution.

## Pages

- [Research](https://www.dataflowlab.org/): Data Flow Lab is an interdisciplinary research group at the University of Leeds applying data science to micro-scale fluid/solid interactions in porous materials and tissues.
- [Papers](https://www.dataflowlab.org/Papers.html): Data Flow Lab publications on porous media, pore-scale modelling and deep learning for image-based characterisation of materials and tissues, 2014-2025.
- [Codes](https://www.dataflowlab.org/Codes.html): Open-source MATLAB and Python tools for porous-material analysis, pore networks, deep learning and medical image analysis, on GitHub and MATLAB File Exchange.
- [Tutorials](https://www.dataflowlab.org/Tutorials.html): Video tutorials and GitHub repositories: analysing porous materials in 3-D images with MATLAB, and learning Python as a MATLAB coder.
- [Teaching](https://www.dataflowlab.org/Teaching.html): Teaching at the University of Leeds: Artificial Intelligence (COMP2611) and Machine Learning (OCOM5200M), with module summaries and syllabi.
- [Positions](https://www.dataflowlab.org/Positions.html): PhD and postdoctoral research opportunities at Data Flow Lab, University of Leeds, including a funded PhD on 3D reconstruction of porous materials with CGANs.
- [Student Projects](https://www.dataflowlab.org/Student%20Projects.html): Suggested BSc and MSc project ideas in deep learning for biomedical imaging and materials design, School of Computer Science, University of Leeds.
- [Blog](https://www.dataflowlab.org/Blog.html): Updates from Data Flow Lab on research, publications and group activities, shared as embedded LinkedIn posts.
- [People](https://www.dataflowlab.org/People.html): Members, alumni and partner research groups of Data Flow Lab at the University of Leeds.
- [HowTo](https://www.dataflowlab.org/HowTo.html): How-to guides: install TensorFlow GPU with Conda, build 3D arrays from image sequences in MATLAB, measure image resolution, run Colab locally, make LaTeX plots.
- [Contact](https://www.dataflowlab.org/Contact.html): How to contact Data Flow Lab: address and email at the School of Computer Science, University of Leeds.

## Machine-readable

- [Full text of all pages (Markdown)](https://www.dataflowlab.org/llms-full.txt)
- [Sitemap](https://www.dataflowlab.org/sitemap.xml)

## Related sites

- [Arash Rabbani](https://www.arashrabbani.com/): Personal website of the group leader: papers, code, tutorials, art and games.