Students

Ph.D. Students

• Jorge Mariscal Harana, King’s College London

  Completed 2020

  Related Publications:

  • Non-invasive assessment of the aortic pressure wave: development and testing using in silico and in vivo data (Ph.D. Thesis)
  • Estimating central blood pressure from aortic flow: development and assessment of algorithms
  • Modeling arterial pulse waves in healthy aging: a database for in silico evaluation of hemodynamics and pulse wave indexes

• Aristide Mathieu, King’s College London

  Ongoing

  Topic: Assessing photoplethysmogram-based indices for the continual detection of changes in blood pressure

  Related Publications:

  • Advanced waveform analysis of the photoplethysmogram signal using complementary signal processing techniques for the extraction of biomarkers of cardiovascular function

• Zixuan Ding, University of Cambridge

  Ongoing

  Topic: Using artificial intelligence to enhance screening for atrial fibrillation

  Related Publications:

  • QRS detection in single-lead, telehealth electrocardiogram signals: benchmarking open-source algorithms
  • Comparing RR-Interval-Based and Whole-Signal-Based Machine Learning Models for Atrial Fibrillation Detection from Single-lead Electrocardiograms
  • Accurate RR-interval extraction from single-lead, telehealth electrocardiogram signals

• Fatma Alimahomed, King’s College London

  Ongoing

  Topic: Fetal vascular ultrasound assessment to identify growth restriction and reduce stillbirth

• Dr Jenny Lund, University of Cambridge

  Ongoing

  Topic: Screening for atrial fibrillation in primary care; addressing the gaps in current evidence

Master’s Students

• Diogo Tecelao, MSc Project, Nova University Lisbon

  Completed 2018

  Related Publications:

  • Prediction of postoperative atrial fibrillation using the electrocardiogram: A proof of concept (MSc Thesis)
  • Automated P-wave quality assessment for wearable sensors

• MEng Project, King’s College London

  Completed 2019

  Topic: Assessing left ventricular ejection time from phonocardiography and photoplethysmography signals

• MEng Group Project, King’s College London

  Completed 2019

  Topic: Signal processing techniques for smart wearables

• MEng Project, University of Cambridge

  Completed 2022

  Topic: Automated quality assessment of self-captured ECG data

• MEng Project, University of Cambridge

  Completed 2023

  Topic: Applications of Deep Learning in Atrial Fibrillation Screening

• MPhil Project, University of Cambridge

  Completed 2023

  Topic: Reducing the Workload of Screening for Atrial Fibrillation by Optimising the ECG Reviewing Process

• MSc Project, Technical University of Munich

  Completed 2025

  Topic: Wrist-based photoplethysmography

Academic Foundation Programme Placements

The following junior doctor conducted a 4-month research project under my supervision:

• Kethaki Prathivadi Bhayankaram, University of Cambridge

  Completed 2023

  Related Publication:

  • Telephone training to improve ECG quality in remote screening for atrial fibrillation

Medical Students

The following students conducted 6-week research projects under my supervision (either Student Selected Component placements, or summer internships):

• Madhumitha Pandiaraja, Summer Internship, University of Cambridge

  Completed 2020

  Related Publications:

  • Screening for atrial fibrillation: Improving efficiency of manual review of handheld electrocardiograms
  • Prioritising Electrocardiograms for Manual Review to Improve the Efficiency of Atrial Fibrillation Screening
  • Characterising RR Intervals in Atrial Fibrillation Detected through Screening
  • Reliability of single-lead electrocardiogram interpretation to detect atrial fibrillation: insights from the SAFER Feasibility Study

• Mary Adeniji, Student Selected Component placement, University of Cambridge

  Completed 2021

  Related Publication:

  • Prioritising Electrocardiograms for Manual Review to Improve the Efficiency of Atrial Fibrillation Screening

• Rayo Akande, Student Selected Component placement, University of Cambridge

  Completed 2022

  Related Publication:

  • Characterising RR Intervals in Atrial Fibrillation Detected through Screening

• Katie Hibbitt, Student Selected Component placement, University of Cambridge

  Completed 2022

  Related Publication:

  • Reliability of single-lead electrocardiogram interpretation to detect atrial fibrillation: insights from the SAFER Feasibility Study

• Medical Student Project, Student Selected Component placement, University of Cambridge

  Completed 2022

  Topic: Using wearables to monitor respiratory rate during exercise

• Medical Student Project, Student Selected Component placement, University of Cambridge

  Completed 2023

  Topic: Comparing an automated algorithm and manual review for diagnosing atrial fibrillation from single-lead ECGs

• Medical Student Project, Student Selected Component placement, University of Cambridge

  Completed 2024

  Topic: Filtering ECGs

• Sharon Ho, Student Selected Component placement, University of Cambridge

  Completed 2024

  Related Publications:

  • Automated RR Interval Detection and Quality Assessment in Telehealth Electrocardiograms
  • Accurate RR-interval extraction from single-lead, telehealth electrocardiogram signals

Undergraduate Students

• Florian Kristoff, BEng Project, Technical University of Munich

  Completed 2022

  Related Publication:

  • QRS detection in single-lead, telehealth electrocardiogram signals: benchmarking open-source algorithms
  • Automated RR Interval Detection and Quality Assessment in Telehealth Electrocardiograms
  • Accurate RR-interval extraction from single-lead, telehealth electrocardiogram signals

• BEng Project, King’s College London

  Completed 2018

  Topic: Feasibility study of compliance as a common measure of cardiovascular health

• Aristide Mathieu, BEng Project, King’s College London

  Completed 2018

  Related Publications:

  • Using smart wearables to monitor cardiac ejection

• BEng Project, King’s College London

  Completed 2018

  Topic: Abdominal aortic aneurysm (AAA) identification by arterial pulse wave analysis: A proof of concept using computational blood flow modelling

6-Week Projects

• Biomedical Engineering Project, Summer Project, King’s College London

  Completed 2017

  Topic: Analysis of in silico photoplethysmography pulse waves to obtain cardiovascular parameters

• Biomedical Engineering Project, Summer Project, King’s College London

  Completed 2017

  Topic: Identifying abdominal aortic aneurysms using pulse wave analysis: a computational study

• Antonella Pontoriero, Summer Project, King’s College London

  Completed 2018

  Related Publications:

  • Alzheimer’s disease: A step towards prognosis using smart wearables

• Individual Project, Summer Project, King’s College London

  Completed 2018

  Topic: Numerical simulation of peripheral pulse waves: the impact of inflow boundary conditions, and the feasibility of estimating aortic pulse wave features from peripheral waves

• Halil Dijab, LIDo Summer Research Placement, King’s College London

  Completed 2018

  Related Publications:

  • Measuring vascular recovery rate after exercise

• Individual Project, Summer Project, University of Cambridge

  Completed 2021

  Topic: Determining the characteristics of atrial fibrillation and noise in hand-held single-lead ECGs

NB: Names are only provided when they are in the public domain.