Dr. Arash Rabbani

Profile

In 2010, I was still an undergraduate student when I ran into the concept of digital image processing. It started as a hobby, but soon became my main focus when I began to work as a researcher. Coming from an engineering background, I started using 3-D images to tackle fluid flow problems in porous materials. You may know that almost every live or lifeless body of mass is porous at some level since more than 99.99% of the universe is an empty space. However, there is almost always a fluid residing or moving through the void spaces of a porous material. To get a better understanding of this fascinating natural phenomenon, Data Flow Lab is founded at the University of Leeds. Data Flow Lab focuses on computationally efficient data-driven solutions for fluid flow problems in micro-structured porous material from subsurface water and sustainable energy resources to the amazing world of living cells and tissues. Feel free to join us on this journey if you like to make a difference by helping to solve real-world problems with the power of computation and engineering. 

Flow-based tortuosity modeling of porous material

Qualifications

• Ph.D. Chemical Engineering and Analytical Science, University of Manchester
• Micro B.Sc. Computer Science, Tandon School of Engineering, New York University

Student education

I am the Academic Integrity Lead at the School of Computing and presently teach Artificial Intelligence and Machine learning. 

Current postgraduate researchers

• Ali Sadeghkhani

Projects

<li><a href="//phd.leeds.ac.uk/project/2059-generative-ai-for-3d-functional-material-discovery">Generative AI for 3D Functional Material Discovery</a></li>