Group Leads

Dr Bryan M. Williams

Bryan is a Senior Lecturer with SCC at Lancaster University and honorary Lecturer in Ophthalmic Imaging with the University of Liverpool. He has a PhD in mathematics and his research focuses on the development of automated image enhancement, analysis and processing techniques in medical imaging and biometrics. He is leading the ERC-funded project H-Unique.

Dr Hossein Rahmani

Hossein Rahmani’s research interests lie in the field of Computer Vision and Machine Learning. More specifically, his research interests include video analysis, action recognition/prediction, pose estimation, dynamic networks, and deep learning.

Our Team

Prof Lady Sue Black, Baroness Black of Strome

Forensic Identification

Dr Zheheng Jiang

Curvilinear Segmentation, 3D Texture Reconstruction

Dr Xinyu Yang

Weakly-Supervised Segmentation, Zero Shot ML

Ricki Boswell-Challand

Database Development, Photography

Dr Feixiang Zhou

Pose Estimation

Peipei Xu

Computer Vision,
Uncertainty

Jiashu Liao

Biometrics, Vein Pattern Segmentation

Andrei Banica

Siamese Networks, Breast Cancer Detection, GUI Dev

Raji Kodhandapani

Machine Learning, Data Representation, Image Segmentation

Lauren Coan

Medical Statistics, Automated Diagnosis, Glaucoma

Josh Nolan

Imaghe Segmentation, Uncertainty

Haoran Peng

Pose Estimation, Point Cloud, Temporal Modelling

Zhaonian Zhang

Machine Learning,
Medical AI

Wayil Alanazi

Medical Imaging, Segmentation, Glaucoma

Collaborators

Former Postdocs / SRAs

Former Research Assistants/ Interns

MSc/ MSci Project Students

2022-23

  • Maverick Chan. Environmental corrections in industrial image acquisition.
  • Apurva Datkhile. Weakly-supervised Tablet Tracking and Analysis in Videography.
  • Maram Al Harbi. Optimising the Timetabling Process.
  • Shencheng He. Automated Grading from Mammogram Images to Support Breast Cancer Diagnosis.
  • Itua Inegbese. Automating and Optimising the Space Allocation Process.
  • Raji Kodhandapani. Earlier detection of chronic kidney disease.
  • Vinay Rajendra Jaiswar. Analysis and Classification of THz signals to Detect Coating Thickness.
  • Manaswi Patil. Investigation of Novel Biometric Traits with Machine Learning.
  • Sakinah Rosli. Retention of general physicians for drug manufacturer(s).
  • Peirui Wang. Improving Clinical Trails Site Selection.
  • Kailei Xin. High throughput defects identification in battery manufacturing.

2021-22

  • Ethan Jolly. Medical Imaging. Identification and Removal of Muscle Artefacts appearing in Magnetoencephalography Signals.
  • Deepthi Nair. Other. South East Diagnostics Project.
  • Sofia Nicolaidou. Other. Impact of Long COVID on patient outcomes.

2020-21

2019-20

  • Rawan Abdulsadig. Medical Imaging. Project with AstraZeneca.
  • Ganlin Liu. Environmental Science. Project with 2Excel. PhD Student at University of Liverpool.
  • Ying Xu. Environmental Science. Project with 2Excel.

BSc Final Year Project Students

2024-25

  • Al-Zoubi, Omar. Biometrics and Forensic Identification. Investigation of Uncertainty Aware Retinal Blood Vessel Identification via Automated Vascular Segmentation.
  • Bhanushali, Vristi. Medical Imaging. Investigating the potential of automated scene completion to assist with optic cup segmentation for glaucoma diagnosis.
  • Bloomfield, Charlie. Medical Imaging. Automated Pathology-Driven Grading of Mammogram Images to Support Breast Cancer Diagnosis.
  • Brown, Emma. Biometrics and Forensic Identification. Investigation of Partial Facial Recognition via Eye-region Biometrics.
  • Grewcock, Georgina. Medical Imaging. Pathology-Driven Automated Grading from Mammogram Images to Support Breast Cancer Diagnosis.
  • Iqbal, Fariha. Medical Imaging. Investigating the Potential of Automated Breast Cancer Detection Through Weakly Supervised Pathology Segmentation.
  • Johnstone, Phoebe. Biometrics and Forensic Identification. Graph Extraction and Mapping of Hand Veins for Biometric Identification.
  • Lardner, Maddison. Medical Imaging. 3D Tumour Localisation for Breast Cancer Diagnosis.
  • Nemani, Lalitha. Medical Imaging. Enhancing Glaucoma Diagnostic Modelling through Automation of Multi-Pathology Assessment of the Optic Nerve Head and Retinal Nerve Fibre Layer.
  • Parkinson, Harry. Biometrics and Forensic Identification. Exploring Vascular Graph Extraction and Comparison for Forensic Identification.
  • Rawlings, George. Biometrics and Forensic Identification. Investigation of Gait Detection and Identification in Multi-subject scenarios.

2023-24

  • Thomas Carbonell. Biometrics and Forensic Identification: H-Unique. Temporal Scene Comparison and Similarity Detection.
  • Jade Jeffels. Biometrics and Forensic Identification: H-Unique. Investigation of Novel Biometric Traits with Machine Learning.
  • Genesis Martinez Gamez Medical Imaging. Pathology and Feature Extraction in Ophthalmic Images to Characterise the Architecture of the Eye.
  • Josh Nolan. Other. Disease Diagnosis from Multimodal and Multidimensional Extracted Features.
  • Payal Shah. Other. Three-dimensional Medical Image Reconstruction and Quality Refinement.
  • Aaron Wan. Medical Imaging. Investigation of Vascular Biometrics with Machine Learning.

2022-23


2021-22


2020-21

  • Thomas Allaker. Biometrics and Forensic Identification: H-Unique. Impact of Transfer Learning on the Segmentation of Superficial Blood Vessel Patterns on the Back of the Hand.
  • James Dalton. Medical Imaging. Effective and Fast Segmentation of the Cross Artefact on the Cornea using Polarized Light with Machine Learning.
  • Jonty Kennedy. Other. Analysing Properties for the Public Good.