Projects
Our work is focused on developing AI solutions for a variety of high-impact problems
Team
Core Academics
Nasim Dadashi Serej
Lecturer in Computer science
Sama Aleshaiker
Lecturer in Computer Science
Jin Lou
Associate Professor
Hanieh Khalili
Associate Professor of Pharmaceutics
Ali Gheitasy
Lecturer in Computing
Jevgeni Jevsikov
Research Fellow.jpg)
Mayur Agrawal
Research FellowAssociate Members
Eugenio Donati
Lecturer in Sound Engineering
Nasser Matoorianpour
Senior Lecturer in Computer Science
Kourosh Behzadian
Professor of Civil EngineeringPhD and MSc Students
Preshen Naidoo
PhD Student
Patricia Fernandes
PhD Student
Sara Adibzadeh
PhD Student
Arian Farokh
PhD Student
Abas Abdi
PhD Student.jpg)
Isreal Ufumaka
PhD Student
Soroush Elyasi
PhD Student
Sina Khalili
PhD Student
Lasun Sosanya
PhD Student
Mohammad Zeinali
PhD Student
Alireza Alibakhshi
PhD StudentInternship Students
Rameshwer Matharu
Internship Student
Valentinas Popovas
Internship Student
May Hlaing Kyi
Internship StudentAlumni - Former group members
Eman Alajrami
PhD Graduate
Cristiane Girotto
PhD Graduate
Jamie Pordoy
PhD Graduate
Jevgeni Jevsikov
PhD Graduate
Henrique De Melo Ribeiro
PhD Graduate
Beth Lane
PhD Graduate
Robert Labs
PhD Graduate
Neda Azarmehr
Lecturer in Computer science
Scott Yang
Lecturer in Computer Science
Elahe Kani-Zabihi
Senior Lecturer in Computing
Christos Chousidis
Senior Lecturer in Applied Sound Engineering
Obed Brew
Associate Professor in Bioinformatics and Genomics
Jonathan Loo
Professor of Computing and Communication EngineeringResources
Code Repositories
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: github.com/intsav
Datasets
The dataset for each project is described/provided in the PROJECTS section.
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: data.unityimaging.net
Equipment
- Ultrasound Scanners
- SonixTouch Q+ Ultrasound Machine
- GE Vivid I Ultrasound Machine
- Philips iE33 Ultrasound Machine
- Various ultrasound phantoms
- Computing
- GPU Servers
- RAID Servers
- Custom Software Repositories
- Misc. electronics
- 3D Printer
- Polhemus motion tracking system
Funding
We are grateful to the following institutions for funding and support:
Royal Society
2023-2024: £20k, Research Grant (RGS\R2\222049), Optimising 3D bioprinting for tissue regenerative medicine using AI.
In collaboration with Biotherapeutic Research Group
British Heart Foundation
2022-2027: £305k, Programme Grant (RG/F/22/110059), UNITY: UK Collaborative for integrating AI into echocardiography.
A strong collaboration with BSE, NHLI, NIH, LoVE, Queen's, and 21 Hospitals across the UK (Total £1.5m)
2020-2023: £150k, Project Grant (PG/19/78/34733), Tensor-mapping to resolve the Achilles heel of echocardiographic strain imaging.
In collaboration with NHLI (Total £257k)
European Research Council
2011-2017: €1.54m, Starting Grant (ERC-2011-StG_20101109), Rapid reliable volume status and ventricular function assessment by non-specialist staff using innovative imaging in clinical practice.
In collaboration with The International Centre for Circulatory Health (ICCH)
Schlumberger Foundation
2021-2024: PhD Studentship
Funds for Women Graduates
2022-2023: Study Grant; Eman Alajrami
Our Partners
