Intelligent Sensing and Vision (IntSaV)
summary
The intelligent sensing and vision (IntSaV) research group was formed as a specialised group to coordinate advanced research in all aspects of Artificial Intelligence and Big Data analysis.
Our laboratory's research key focus is the development of cutting edge and disruptive technologies for addressing healthcare challenges. Our mission is to significantly improve people's lives through our work in computer science.
We embrace research at the interface of machine learning, artificial intelligence, computer vision, signal processing and healthcare applications.
Main research themes
- Computer vision
- Explainable and responsible AI
- Machine learning and deep learning
- Biomedical image and signal processing
- Multimodal and multisensory virtual reality
- Mathematical modelling
PhD positions in computer science, machine learning and computer vision are available by directly contacting the research group faculty members. For a more detailed description of the projects, please visit the IntSaV website.
Members
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Faculty members
- Professor Massoud Zolgharni (Head)
- Dr Nasim Dadashi Serej
- Dr Sama Aleshaiker
- Dr Jin Luo (School of Medicine and Biosciences)
- Dr Nasser Matoorianpour
- Dr Hanieh Khalili (School of Medicine and Biosciences)
- Dr Ali Gheitasy
- Dr Jevgeni Jevsikov
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Associate members
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Research associates and PhD students
- Eman Alajrami (PhD student)
- Preshen Naidoo (PhD student)
- Patricia Fernandes (PhD student)
- Sara Adibzadeh (PhD student)
- Abas Abdi (PhD student)
- Isreal Ufumaka (PhD student)
- Arian Farokh (PhD student)
- Cristiane Girotto (PhD student)
- May Hlaing Kyi (PhD student)
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Alumni
- Dr Jamie Pordoy (PhD graduate)
- Dr Jevgeni Jevsikov (PhD graduate)
- Dr Henrique Ribeiro (PhD graduate)
- Dr Beth Lane (PhD graduate)
- Dr Robert Labs (PhD graduate)
- Dr Scott Yang (Lecturer in Computer Science)
- Dr Elahe Kani-Zabihi (Senior Lecturer in Computing)
- Dr Christos Chousidis (Senior Lecturer in Applied Sound Engineering)
- Dr Jonathan Loo (Professor of Computing and Communication)
Our partners
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National Heart and Lung Institute
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Hammersmith Hospital
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St Mary's Hospital
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UCL School of Pharmacy
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University of Lincoln
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Imperial College London
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British Society of Echocardiography
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King's College London
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Swansea University
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University of East London
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University of Bristol
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Italian Institute of Technology
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Queen's University Belfast
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University of Portsmouth
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University of Westminster
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University of Lincoln
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Durham University
Our funders
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British Heart Foundation
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Schlumberger Foundation
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Funds for Women Graduates
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European Research Council
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The Royal Society
Current research projects
Training and vacancies
The IntSaV group has a strong training focus aimed at developing the next generation leaders in the field of computer science. In addition to its core research activities, the group offers comprehensive PhD and MSc programmes for researchers with a strong technical background.
We are training leaders in the highly sought after domains of machine learning and computer vision.
Our MSc Artificial Intelligence course and PhD training will enable students to acquire knowledge on machine learning techniques, and prepare them for a rewarding career in machine learning and computing in general.
Available PhD projects:
The PhD students working on multidisciplinary research projects are supported by a sizeable supervisory team with subject specialist knowledge. We have a number of exciting and future opportunities, covering a diverse range of research topics such as:
- Computer vision
- Medical image analysis
- AI Machine learning for understanding and interpretation
- Computer-assisted diagnosis
- Digital Signal Processing
Please contact the relevant faculty members affiliated with the IntSaV research group.
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Entry requirements for our MSc AI course
Prospective students will have a good first degree in Computer Science or other STEM-based disciplines, with a significant level of computing and programming.
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Entry requirements for our PhD course
- First or Upper Second class (2:1) or equivalent in a relevant field
- MSc degree with Merit or above or have equivalent postgraduate or research experience
- International applicants only: an IELTS score (International English Language Testing System) of 6.5 or higher (with no element under 6.0) for international applicants. Applicants with a previous degree obtained in the UK are exempt from this requirement
Resources
Ultrasound scanners
- SonixTouch Q+ ultrasound machine
- GE Vivid I ultrasound machine
- Philips iE33 ultrasound machine
- Various ultrasound phantoms
Computing
- Workstations & laptops
- GPU processing
- RAID server
- Custom software repositories
Misc electronics
Open science
In the wake of open science, our priority has been the full publication of details of all methods developed in research so that they can be reproduced, criticised, and improved upon. We make all our research materials, including the datasets, code of experiments, and analyses, freely available at our GitHub page.
Under the aegis of the British Society of Echocardiography, IntSaV is also contributing to the development of, and therefore has access to, the UK’s largest biobank of echo expertise, the Unity Imaging Collaborative.
Latest news
Follow us on Twitter to keep up with the latest news and events at IntSaV.
Find out more
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Research Centres and Groups
Find out about our multi-disciplinary areas of expertise, research, and teaching.
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Research impact
Learn how our research has helped communities locally, nationally and internationally.
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The Graduate School
If you are interested in studying for a PhD or Professional Doctorate, the Graduate School is here to support your research.
