WELCOME TO THE

Intelligent Sensing and Vision Research Group (IntSaV)

A specialised group of researchers in the field of Artificial Intelligence based at the University of West London.

Projects

Our work is focused on developing AI solutions for a variety of high-impact problems

Real-time ECG Analysis

Intelligent Clothing

Real-Time Seizure Detection

Real-Time Seizure Detection

Mitral Inflow

Mitral Inflow Analysis

LV Segmentation

Left Ventricle Segmentation

Electroglottography

Novel electroglottography sensors systems

Efficient Annotations

Efficient Annotations

3D Bioprinting

AI-aided design of optimised Tissue Engineering scaffolds

Spinal Mechanics

Fracture analysis in lateral radiographs

Loss Functions

Influence of Loss Functions on LV segmentation and EF

Phase Detection

Multibeat echocardiographic phase detection

Tissue Doppler Imaging

Automated analysis of tissue Doppler images

View Classification

Neural Architecture Search of Classifiers

Speckle Tracking

Optimisation-based Speckle Tracking

Gait Gender Classification

Gait Gender Classification

Artificial intelligence and data science

Artificial intelligence and data science

UG-MSc Projects

Undergraduate and MSc Projects

Internship Projects

Internship Projects

Team

Core Academics

Massoud Zolgharni

Professor of Computer Vision Head of IntSaV

Nasim Dadashi Serej

Lecturer in Computer science Deputy Head of IntSaV

Neda Azarmehr

Lecturer in Computer science

Lavanya Srinivasan

Lecturer in Computer science

Shidrokh Goudarzi

Lecturer in Computer science

Jonathan Loo

Professor of Computing and Communication Engineering

Ikram Ur Rehman

Senior Lecturer in Computer Science

Sama Aleshaiker

Lecturer in Computer Science

Jin Lou

Associate Professor

Nasser Matoorianpour

Senior Lecturer in Computer Science

Laden Husamaldin

Associate Professor of Information Systems and Project Management

Hanieh Khalili

Associate Professor of Pharmaceutics

Kourosh Behzadian

Professor of Civil Engineering

Ali Gheitasy

Lecturer in Computing

Eugenio Donati

Lecturer in Sound Engineering

Jevgeni Jevsikov

Research Fellow

PhD and MSc Students

Eman Alajrami

PhD Student

Jamie Pordoy

PhD Student

Aamir Anwar

PhD Student

Julia Tomaszewska

PhD Student

Cristiane Girotto

PhD Student

Preshen Naidoo

PhD Student

Patricia Fernandes

PhD Student

Sara Adibzadeh

PhD Student

May Hlaing Kyi

PhD Student

Abas Abdi

PhD Student

Isreal Ufumaka

PhD Student

Arian Farokh

PhD Student

Internship Students

Rameshwer Matharu

Internship Student

Valentinas Popovas

Internship Student

Alumni - Former group members

Jevgeni Jevsikov

PhD Graduate

Beth Lane

PhD Graduate

Robert Labs

PhD Graduate

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

Resources

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

Work with us