Lead

○ Arash Rabbani
Assistant Professor at the School of Computer Science
University of Leeds

Personal website
(Link)

University profile
(Link)

Post Doc

○ Mozhdeh Mehrabi
Researching on AI-assisted powder charactrization for pharmasutical applications, focusing on Image-based methods, Joint PDRA with Ghadiri Research Group
(Link)

Ph.D. students

○ Fatemeh (Helia) Talebi
Studying Chemical Engineering at the University of Leeds, working on inference of powder adhesion to surfaces through image analysis and machine vision.
(Link)

○ Yi Fang
Student of Computer science at the University of Leeds, working on Unsupervised Deep Learning for abnormality detection and modeling in placental tissues
(Link)

○ Ali Sadeghkhani
Student of Computer science at the University of Leeds, working on 3D reconstruction of porous material based on 2D images using conditional generative adversarial neural networks (CGANs).
(Link)

○ Mehdi Ghasemi
Student of Chemical Engineering at the University of Manchester, Working on Image-based modeling of membranes, co-supervision with Unimus research group at the University of Manchester.
(Link)

○ Yuzhang Ge
Student of Mathematics and Statistics at the University of Glasgow, Working on Cardio-mechanical emulation of left ventricle via Bayesian inference, co-supervision with SofTMech research group at the University of Glasgow.
(Link)

Alumni

○ Yiheng Yang (2024)
Dissertation title: Enhancing Brain MRI Segmentation with Limited Labeled Data: Evaluating Techniques and Implementing a Hybrid Strategy, School of Computer Science, University of Leeds.

○ Xinyun Chen (2024)
Dissertation title: Three-Dimensional Reconstruction of Porous Polymer Membranes Based on Bayesian Optimization Algorithm, School of Computer Science, University of Leeds.

○ Shao-Yun Huang (2024)
Dissertation title: Malignancy Assessment of Lung Nodules via Integrated Deep Learning Techniques on CT Scans and Clinical Reports, School of Computer Science, University of Leeds.

○ Jianling Wu (2024)
Dissertation title: Image resolution enhancement for images using SRGAN, School of Computer Science, University of Leeds.

○ Boyu Hu (2024)
Dissertation title: Object Detection in Remote Sensing Imagery, School of Computer Science, University of Leeds.

○ Alireza Chamani (2024)
Dissertation title: Modeling Water Transport and Estimating Liquid Entry Pressure for Improved Membrane Distillation, Department of Chemical and Biological Engineering, University of Ottawa.

○ Yinan Wei (2023)
Dissertation title: Age and Gender Recognition with CBAM-CNN Multi-Task Learning Model, School of Computer Science, University of Leeds.

○ Yassine Monaem Marzouki (2023)
Dissertation title: The Analysis of the Attention U-net Architecture, School of Computer Science, University of Leeds.

○ Yuanlong Fang (2023)
Dissertation title: Application of Deep Learning for Characterisation of Porous Material, School of Computer Science, University of Leeds.

○ Xing Chen (2023)
Dissertation title: 3D Reconstruction of porous materials based on 2D images using conditional adversarial neural networks, School of Computer Science, University of Leeds.

○ Aymane Salah Mebarki (2023)
Dissertation title: Application Of Deep Learning For Characterisation Of Porous Material, School of Computer Science, University of Leeds.

○ Abhinav Sharma (2022)
Dissertation title: Data-driven estimation of price elasticity and store segmentation, Supervised at the University of Glasgow.

○ David Harrot (2022)
Dissertation title: Application of convolutional neural networks for the prediction of air pollution in London, Supervised at the University of Glasgow.

Partner Labs and Research Groups

○ Ghadiri Research Group
The Ghadiri Research Group is a specialized research team within the School of Chemical and Process Engineering at the University of Leeds that focuses on Particle Technology, particularly developing relationships between microscopic and macroscopic properties of particulate systems. Prof. Mojtaba Ghadiri is leading the research group.
(Link)

○ MUTRIS
MUTRIS is focused on advanced computer vision and machine learning methods for the study of rocks and predictive modelling of them. MUTRIS is led by Prof. Peyman Mostaghimi and Prof. Ryan Armstrong at the University of New South Wales.
(Link)

○ UNIMUS
UNIMUS stands for Uncertainty-incorporated multiscale simulation of flow and transport in porous media. Unimus is led by Dr. Masoud Babaei at the University of Manchester.
(Link)

○ SofTMechSET
SofTMechSET is part of the SoftMech, a Centre of Mathematics for Healthcare, with primary support from the EPSRC since 2016. SofTMechSET aims to develop novel statistical emulation techniques to make real-time cardiovascular modeling and predictions. SofTMechSET is led by Prof. Dirk Husmeier at the University of Glasgow.
(Link)

○ Mechanics and Dynamics Lab (MaDLab)
MaDLab is an engineering research lab focused on understanding the fundamental mechanics of advanced structured material systems and leveraging this understanding to create new technologies for engineering applications. MaDLab is led by Dr. Bhisham Sharma from Michigan Tech University.
(Link)

○ Oxford image-based multi-physics modelling of multi-phase materials
The group focuses on a combination of computational methods, digital microstructure and innovative experimental techniques to understand the behavior of a range of materials with a particular focus on soft tissues having load bearing function. This Lab is led by Dr. Olga Barrera, Reader in Mechanical Engineering.
(Link)

○ Forbes Research Group
This lab is focused on understanding how factors in the maternal environment, such as diet, microRNAs, and extracellular vesicles, contribute to altered placental and fetal growth, particularly in pregnancies complicated by maternal diabetes. This Lab is led by Dr. Karen Forbes, Associate Professor of Molecular Endocrinology.
(Link)