Mr Ahtisham Ayyub
Contact
- Email: k2245610@kingston.ac.uk
- Location: Penrhyn Road
- Faculty: Faculty of Engineering, Computing and the Environment
- School: School of Computer Science and Mathematics
- Department: Department of Computer Science
Research project: Anomaly detection and disease classification in ECG signals using AI-Assisted Decision Making
Abstract
In England alone, cardiovascular diseases' (CVD) related healthcare costs amount to an estimated £7.4 billion per year, and annual costs to the wider economy being an estimated £15.8 billion. The UK government is focused on telemedicine, and in the next five years, with the help of the NHS, it plans to save at least 150,000 lives each year by avoiding/managing heart attacks.
This project focuses on introducing smart ECG machines which can detect anomalies in ECG signals in real-time. Based on an advanced, artificial intelligence(AI) aided signal processing models, these machines will be able to memorize the sequences of ECG signals. To classify the CVDs, the acquired abnormal signals will be further converted to spectrogram images for input to a 3D image classification model.
- Research degree: PhD
- Title of project: Anomaly detection and disease classification in ECG signals using AI-Assisted Decision Making
- Research supervisors:
- Other research supervisor: Professor Souheil Khaddaj
Biography
Along with my PhD, I am working on a project related to creating an advanced machine learning approach for high accuracy automated diagnosis of otitis media with effusion in different age groups.
I am a graduate of FAST NUCES (Pakistan). During the masters, I worked on gait-based person recognition using various deep learning models, such as LSTM, BLSTM and CNN-LSTM.
I have worked as a teacher for more than ten years, while I taught college students back in Pakistan. Moreover, I also have experience in working as a teacher assistant for several modules during the masters.
Areas of research interest
- Machine Learning
- Deep Learning
- Computer Vision
- Image Processing
- Medical Imaging
- Python
- Matlab
- Wireless Networks
Qualifications
- MS Computer Science , FAST NUCES
- MSc Computer Science, GCUF
- MBIT, UAF
Funding or awards received
- Kingston University Studentship