Group Leads
Dr Bryan M. Williams
Senior Lecturer in Computer Vision
Director of Equality, Diversity and Inclusion
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
Professor in Data Science
Director of International Relations
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
PRESENT OF ST JOHN’S COLLEGE, OXFORD
Forensic Identification
Dr Zheheng Jiang
Visiting Researcher
Curvilinear Segmentation, 3D Texture Reconstruction
Dr Xinyu Yang
Senior Research Associate
Weakly-Supervised Segmentation, Zero Shot ML
Ricki Boswell-Challand
Database Manager
Database Development, Photography
Dr Feixiang Zhou
Senior Research Associate
Pose Estimation
Peipei Xu
Research Associate
Computer Vision,
Uncertainty
Jiashu Liao
Research Associate
Biometrics, Vein Pattern Segmentation
Andrei Banica
Research Associate
Siamese Networks, Breast Cancer Detection, GUI Dev
Raji Kodhandapani
Research Associate
Machine Learning, Data Representation, Image Segmentation
Lauren Coan
Research Assistant, PhD Student
Medical Statistics, Automated Diagnosis, Glaucoma
Josh Nolan
Research Assistant
Imaghe Segmentation, Uncertainty
Haoran Peng
PhD Student
Pose Estimation, Point Cloud, Temporal Modelling
Zhaonian Zhang
PhD Student
Machine Learning,
Medical AI
Wayil Alanazi
PhD Student
Medical Imaging, Segmentation, Glaucoma
Collaborators
Former Postdocs / SRAs
- 2020-24. Dr Zheheng Jiang. Biometrics and Forensic Identification: H-Unique. Lecturer at University of Leicester, UK.
- 2020-22. Dr Ritesh Vyas. Biometrics and Forensic Identification: H-Unique. Lecturer at Pandit Deendayal Energy University, India.
- 2020-21. Dr Nathanael Baisa. Biometrics and Forensic Identification: H-Unique. Lecturer at De Montford University, UK.
- 2019-20. Dr Xiaowei Gu. Biometrics and Forensic Identification: H-Unique. Lecturer at University of Kent, UK.
Former Research Assistants/ Interns
- 2022-23. Mr Andrei Banica. Biometrics and Forensic Identification: H-Unique.
- 2022-23. Mr Jordan Coker. Biometrics and Forensic Identification: H-Unique.
- 2022-23. Mr Filip Zajac. Biometrics and Forensic Identification: H-Unique.
- 2021-22. Ms Indre Aruodziute. Biometrics and Forensic Identification: H-Unique.
- 2021-22. Mr Marko Bracanovic. Biometrics and Forensic Identification: H-Unique.
- 2021-22. Mr Ognyan Harbov. Biometrics and Forensic Identification: H-Unique.
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
- Joe Phillips. Environmental Science. Project with Lancaster CEH. PhD Student at Lancaster University.
- Mengya He. Biometrics and Forensic Identification.
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
- Andrei Banica. Medical Imaging. Automated Grading from Mammogram Images to Support Breast Cancer Diagnosis.
- Alex Chalakov. Biometrics and Forensic Identification: H-Unique. Temporal Scene Comparison and Similarity Detection.
- Jordan Coker. Biometrics and Forensic Identification: H-Unique. Investigation of Novel Biometric Traits with Machine Learning.
- Matthew Elston. Medical Imaging. Pathology and Feature Extraction in Ophthalmic Images to Characterise the Architecture of the Eye.
- Ridhwan Jamsa. Medical Imaging. Disease Diagnosis from Multimodal and Multidimensional Extracted Features.
- Mohammed Patel. Medical Imaging. Three-dimensional Medical Image Reconstruction and Quality Refinement.
- Zeba Patel. Medical Imaging. Disease Diagnosis from Multimodal and Multidimensional Extracted Features.
- Filip Zajac. Biometrics and Forensic Identification: H-Unique. Investigation of Vascular Biometrics with Machine Learning.
2021-22
- Indre Aruodziute. Biometrics and Forensic Identification: H-Unique. Investigation of the Variability of Vessel Patterns in the Human Eye.
- Angelo Beleno. Biometrics and Forensic Identification: H-Unique. Exploring the Potential of Disc-centred Fundus Photography for Anatomy-based Identification.
- Marko Bracanovic. Biometrics and Forensic Identification: H-Unique. Investigation of Vein Patterns as Biometric Traits using Machine Learning.
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.