Â鶹ÊÓƵ

I am a biomedical engineer specialising in AI-enabled cardiovascular monitoring, ECG/EGM signal processing, atrial fibrillation ablation support, 12-lead ECG reconstruction and low-cost medical-device innovation. I am Lecturer in Biomedical Engineering and Deputy Programme Director of Biomedical Engineering at the Â鶹ÊÓƵ, BHF Leicester CRE Investigator, NIHR Leicester BRC Investigator, founder of the EasyCardioGram pre-spinout.

My research bridges cardiovascular clinical needs, AI algorithms and translational device development. I have secured or contributed to approximately £2.38 million in research and translational funding, including £314.8k as Principal Investigator, £931.5k as Co-Investigator and £1.135m as named candidate/key contributor. Google Scholar profile lists 775 citations, h-index 16 and i10-index 23.

I obtained BEng in Electrical Information Engineering from the University of Science and Technology Beijing 2011 and MSc in Electrical Electronic Engineering from the University of Leeds in 2012. I completed my PhD in Biomedical Engineering from the Â鶹ÊÓƵ in 2016. I worked as Research Associate from 2016 and Lecturer from October 2019. 

Research Interests

My research interest focuses on digital signal processing and intelligent algorithms of biological and biomedical signals:

Improving target identification for catheter ablation using advanced signal processing techniques and intelligent algorithms for human persistent atrial fibrillation

Algorithms development for novel ECG risk makers for sudden cardiac death

Machine learning Classification and Regression

Recurrent Quantification Analysis

Mapping and Cardiac Arrythmias

Body surface potential mapping

Electrocardiogram (ECG) analysis

Wearable Medical Devices and remote monitoring

2026

• Obianom, E.N., Koya, A., Feng, F., Ng, G.A., Li, X. Comput Biol Med 207, 111644 (2026). https://doi.org/10.1016/j.compbiomed.2026.111644.

• Lau, E.Y.M., Li, X., Ng, G.A. . Eur J Prev Cardiol, zwag152 (2026). https://doi.org/10.1093/eurjpc/zwag152.

• Obianom, E.N., Qaqos, N., Abdullahi, S.I. Ng, G.A., Li, X. . Sci Rep 15, 43158 (2025).

2025

• Antoun, I., A. Abdelrazik, X. Li, M. Eldesouky, K. M. Thu, R. Somani and G. A. Ng (2025). ." Journal of Arrhythmia 41(6): e70224.

• Antoun, I., X. Li, A. Abdelrazik, M. Eldesouky, K. M. Thu, M. Ibrahim, H. Dhutia, R. Somani and G. A. Ng (2025). "." Indian Pacing and Electrophysiology Journal, 2025/09/27/ 2025, doi: https://doi.org/10.1016/j.ipej.2025.09.005.

• Antoun I, Abdelrazik A, Eldesouky M, Li X, Layton GR, Zakkar M, Somani R and Ng GA (2025) . Front. Cardiovasc. Med. 12:1596574. doi: 10.3389/fcvm.2025.1596574

• Obianom EN, Ng GA and Li X (2025). Front. Physiol. 16:1532284. doi: 10.3389/fphys.2025.1532284

• Antoun, I., Li, X., Vali, Z., Abdelrazik, A, Somani, R. and Ng, G.A, Journal of Electrocardiology, 2025

• Antoun, I., Li, X., Vali, Z., Koev, I., Somani, R. and Ng, G.A. (2025), . Pacing Clin Electrophysiol. 

2024

• Long Chen; Zheheng Jiang; Joseph Barker; Huiyu Zhou; Fernando S. Schlindwein; Will Nicolson; G. Andre Ng; Xin Li., "," in IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2024.3363077.

• Joseph Barker*, Xin Li*, Ahmed Kotb, Akash Mavilakandy, Ibrahim Antoun, Chokanan Thaitirarot, Ivelin Koev, Sharon Man, Fernando S Schlindwein, Harshil Dhutia, Shui Hao Chin, Ivan Tyukin, William B Nicolson, G Andre Ng,, European Heart Journal - Digital Health, 2024;, ztae004, 

2023

• X. Li, F. S. Schlindwein, J. Zhao, M. Bishop, and G. A. Ng, "," , Frontiers in Physiology, Editorial vol. 14, 2023-February-10 2023, doi: 10.3389/fphys.2023.1155857.

2022

• Joseph Barker, Xin Li, Sarah Khavandi, David Koeckerling, Akash Mavilakandy, Coral Pepper, Vasiliki Bountziouka, Long Chen, Ahmed Kotb, Ibrahim Antoun, John Mansir, Karl Smith-Byrne, Fernando S Schlindwein, Harshil Dhutia, Ivan Tyukin, William B Nicolson, G Andre Ng, , EP Europace, 2022;, euac135, 

• Ehnesh M, Li X, Almeida TP, Chu GS, Dastagir N, Stafford PJ, et al. . Front. Physiol, 2022, Vol 13, doi: 10.3389/fphys.2022.946718.

• Chu, G. S*., X. Li*, P. J. Stafford, F. J. Vanheusden, J. L. Salinet, T. P. Almeida, N. Dastagir, A. J. Sandilands, P. Kirchhof, F. S. Schlindwein and G. A. Ng. Front. Physiol, 2022, Vol 13. doi:10.3389/fphys.2022.826449

2021

• Pooranachandran V, Nicolson W, Vali Z, Li X, Ng G. . Heart,  20 October 2021. doi: 10.1136/heartjnl-2021-319971

• Z. Jiang, F. Zhou, A. Zhao, X. Li, L. Li, D. Tao, X. Li, H. Zhou, "," in IEEE Transactions on Image Processing, 2021, doi: 10.1109/TIP.2021.3083079.

• Li, X., Chu, G.S, Almeida, T.P., Vanheusden F.J., Salinet, J., Dastagir, N., Mistry, A. R., Vali, Z, Sidhu B, Starfford, P. J., Schlindwein, F.S., Ng, G.A., 2021.  Front. Physiol, 2021 Vol. 12 Issue 286, DOI: 10.3389/fphys.2021.649486

2020

• Almeida, T.; Soriano, D.; Mase, M.; Ravelli, F.; Bezerra, A.; Li, X.; Chu, G.; Salinet, J.; Stafford, P.; Andre Ng, G.; Schlindwein, F.; Yoneyama, T. . IEEE Transactions on Biomedical Engineering 2020, 1–1. https://doi.org/10.1109/TBME.2020.3021480.

• Li, X., Almeida, T.P., Dastagir, N., Guillem, M.S., Salinet, J., Chu, G.S., Stafford, P.J., Schlindwein, F.S., Ng, G.A., 2020. . Front. Physiol. 11, 869. doi: doi.org/10.3389/fphys.2020.00869

• Almeida, T.P., Li, X., Soriano, D.C., Schlindwein, F.S. and Ng, G.A. (2020),  J Cardiovasc Electrophysiol, 31: 373-374. doi:

• Mistry A, Vali Z, Sidhu B, Budgeon C, Yuyun MF, Pooranachandran V, Li X, Newton M, Watts J, Khunti K, Samani NJ and Ng GA. . 2020:heartjnl-2019-315978.

2019 and before

• O’Shea, Holmes, Yu, Winter, Wells, Correia, Boukens, Chu, Li, Ng, Kirchhof, Fabritz, Rajpoot, Pavlovic,  Scientific Reports - Nature 2019;9:1389.

• Vanheusden FJ, Chu GS, Li X, Salinet J, Almeida TP, Dastagir N, et al. Comput Biol Med. 2019;104:299-309.

• Mistry, A, Vali, Z, Taher, A, Sidhu, B, Li, X, Newton, M, & Ng, G. A (2019). Postgraduate Medical Journal, 95(1122), 205 LP-209

• Ng GA, Mistry A, Li X, Schlindwein FS, Nicolson WB.  Europace. 2018;20(FI2):f162-f70.

• Almeida TP, Schlindwein FS, Salinet J, Li X, Chu GS, Tuan JH, et al.  Chaos. 2018;28(8).

• Almeida TP, Chu GS, Li X, Dastagir N, Tuan JH, Stafford PJ, Schlindwein FS, Ng GA. . Front Physiol 8:589:1-12 doi: 10.3389/fphys.2017.00589

• Almeida TP, Chu GS, Bell MJ, Li X, Salinet JL, Dastagir N, Tuan JH, Stafford PJ, André Ng G, Schlindwein FS. . Med Biol Eng Comput. 2017.

• Salinet JL, Schindwein FS, Stafford PJ,Almeida TP, Li X, Vanheusden FJ, et al. .Heart Rhythm. 2017

• Li X, Salinet JL, Almeida TP, Vanheusden FJ, Chu GS, Ng GA, et al.. Computer Methods and Programs in Biomedicine. 2017;141:83-92.

• Almeida TP, Chu GS, Salinet JL, Vanheusden FJ, Li X, Tuan JH, et al. . Med Biol Eng Comput. 2016;54(11):1695-706.

I am looking for talented self-motivated PhD students and researchers to work in the field of intelligent biomedical signal processing in complex cardiac arrhythmias. If you're interested feel free to contact me.

Supervision

PhDs:

Noor N Qaqos 2022 - Completed

Ekenedirichukwu Obianom 2022 -Completed

Shamsu Abdullahi 2023-

Fan Feng 2023-

Abdulhamed Jasim 2023 - 

Sanaz Sarrafi 2026 -

PDRAs:

Alumni

MScs (ENG):

Last Name First Name

Venkatachalam Arun Prasanth

Kancharla Gopala Krishna

Takalkar Saili Sunil

Shaik Farooq

Suresh Parvathy

 Thirumala   Udayasree 

iMScs (Meidcal):

Zobia Wadi

MDs:

Dr Sharon Man

PDRAs:

Dr Zheheng Jiang

Dr Long Chen 

Dr Jingzhi Gong

MSCs (Engineering):

Xuanlin Chen - 2020 - Distinction & best student award

Snehal Sanjay Shevate - 2020

BSCs (Medical): LUMRS Link projects

Jason R Armstrong - started 2021

Marcus O Panchal - started 2021

Ibrahim A Nasser - started 2021

Jakevir S Shoker - started 2021

Visiting students:

Jack Hall - started 2021

Current 

EG2321 Computational Engineering Methods - Module Convenor

EG3213 Machine Learning for Engineers - Module Convenor

FS0024 Engineering Principles and Experimentation– Academic Lead

EG1006 - Engineering Design and Experimentation – Academic Lead

EG7020/EG7302 - MSc/MEM Individual Project

EG3005 - Individual Project - 3rd year Engineering projects

EG1201 Electrical & Electronic Engineering (Internal Assessor)

Previous

EG2004 - Engineering Experimentation and Analysis – Academic Lead

BS3X00 - 3rd year projects (School of Biological Sciences)

iMSc Medical Research (Intercalated)

CTGU04 Communications

CTGU05 Automatic Control Theory

CTGU10 Signals and Systems

CTGU11 Electromagnetism

CTGU12 Electrical Engineering

• PEERS (SFHEA,FHEA,AFHEA) Assessor

• Associate Editor of Biomedical Signal Processing and Control 2023-

• School of Engineering Plagiarism Officer

• School of Engineering Appeals panel members

• Session Chair at Computing in Cardiology 2022

• Grant reviewer of NIHR

• Grant reviewer of Medical Research Council (MRC)

• Grant Reviewer of Northern Ireland Chest Heart & Stroke: NICHS

• Grant reviewer of Heart Research UK (HRUK)

• Reviewer for Expert Systems With Applications

• Reviewer Editor for Computational Physiology and Medicine, Frontiers in Physiology

• Reviewer of IEEE trans Biomedical Engineering

• Reviewer of IPEM-Translation

• Editor of Frontiers in Physiology

• Guest Associate Editor in Cardiac Electrophysiology, Frontiers in Physiology

• Reviewer Editor for Information Theory, Frontiers in Network Physiology

• Reviewer of  MDPI journals

• Membership of European Heart Rhythm Association (EHRA)

2025

• Feng, F., Obianom, E. N., Qaqos, N. N., Antoun, I., Abdullahi, S. I., Jasim, A. M., Koya, A., Ng, G. A., & Li, X. (2025). Ensemble Learning on Body Surface Potential Mapping P Waves: A Novel Approach to Predict Atrial Fibrillation Recurrence Post-Direct-Current Cardioversion. Computing in Cardiology, 14–17 September 2025. 

• Qaqos, N. N., Obianom, E. N., Jasim, A. M., Abdullahi, S. I., Feng, F., Schlindwein, F. S., Ng, G. A., & Li, X. (2025). Wavelet Scattering Transform for Enhancing Ablation Outcomes in Human Persistent Atrial Fibrillation.Computing in Cardiology, 14–17 September 2025.  DOI:10.22489/CinC.2025.0882.1.

• Qaqos, N. N., Abdullahi, S. I., Obianom, E. N., & Li, X. (2025). Improving the Catheter Ablation Outcomes via Wavelet Scattering Transform Coefficients in Human Persistent Atrial Fibrillation. In 2025 IEEE International Conference on Medical Artificial Intelligence (MedAI) – November 2025. DOI:10.1109/MedAI67139.2025.00019.

• Jasim, A. M., Obianom, E. N., Qaqos, N. N., Abdullahi, S. I., & Li, X. (2025). A New Hybrid Adaptive Filtering Approach for ECG Noise Reduction with Low-Complexity Design. Computing in Cardiology, 14–17 September 2025. 

• Li, X., Qaqos, N. N., Obianom, E. N., Abdullahi, S. I., Jasim, A. M., Feng, F., Koya, A., Abdelrazik, A. M., Eldesouky, M., Chu, G. S., Schlindwein, F. S., & Ng, G. A. (2025). Simultaneous Atrial Mapping: End of an Era or Promising Future? Insights from Non-contact Mapping Integrated with Frequency, Phase, and Machine Learning Approaches to Identify Drivers from Clinical Data. Computing in Cardiology, 14–17 September 2025. 

• Qaqos, N. N., Obianom, E. N., Abdullahi, S. I., & Li, X. (2025). Enhancing the Prediction of Ablation Outcomes Using Transfer Learning on Residual Network via Spectrogram in Persistent Atrial Fibrillation. Computing in Cardiology, 14–17 September 2025. 

• Obianom, E. N., Abdullahi, S. I., Qaqos, N. N., & Li, X. (2025). Lead Selection Protocols for the Reconstruction of 12-Lead Electrocardiogram. Computing in Cardiology, 14–17 September 2025. 

• Abdullahi, S. I., Qaqos, N. N., Obianom, E. N., & Li, X. (2025). Minimum Time Duration for Detecting Phase Singularities in Human Persistent Atrial Fibrillation. Computing in Cardiology, 14–17 September 2025. 

• Obianom, E. N., Qaqos, N. N., Jasim, A. M., & Li, X. (2025). Wave Masking: Effect of Padding Techniques on the Reconstruction of Electrocardiogram. Computing in Cardiology, 14–17 September 2025. 

• Qaqos, N. N., Obianom, E. N., Abdullahi, S. I., & Li, X. (2025). Classification of Chagas Disease Using Convolutional Neural Network and Random Forest.Computing in Cardiology, 14–17 September 2025. 

2024

• Koya, A., R. K. Mehra, E. N. Obianom, A. Abdelrazik, A. Mavilakandy, R. Chauhan, X. Li and G. A. Ng (2024). "BS30 Heart rate variability derivatives: frequency domain as a measure of autonomic nervous system function in rabbit coronary-artery ligation model." Heart 110(Suppl 3): A266-A266.

• PO-02-099 AUTONOMIC DYSFUNCTION WITH REDUCED HEART RATE VARIABILITY FOLLOWING MYOCARDIAL INFARCT IN A RABBIT CORONARY-ARTERY LIGATION MODEL, Ahmed Abdelrazik, Abdulmalik Koya, Reshma Chauhan, Ekenedirichukwu Obianom, Xin Li, G. Andre Ng,  HRS 2024, VOLUME 21, ISSUE 5, SUPPLEMENT , S302, MAY 2024 DOI:

• PO-04-077 ELECTROGRAM STRENGTH AT 10 HZ UNVEILED AS ACCURATE PREDICTOR OF REGIONAL CATHETER ABLATION SUCCESS IN PERSISTENT ATRIAL FIBRILLATION, NOOR QAQOS, Xin Li, G. Andre Ng, HRS 2024, VOLUME 21, ISSUE 5, SUPPLEMENT , S486-S487, MAY 2024, DOI:  

2023

• Predicting Cardiac Arrest Recovery with Shallow and Deep Learning Models, accepted by CinC 2023

• Choosing Electrograms Features for Predicting Catheter Ablation Outcomes for Persistent Atrial Fibrillation, accepted by CinC 2023

•  Evaluating Electrograms Domain Knowledge for Enhancing Catheter Ablation Outcomes Based on Time Series Features, accepted by CinC 2023

• DEtErmining the Predictive value of HOLTER monitors for Sudden Cardiac Death by artificial intelligence, Joseph Barker, Xin Li, G. Andre Ng. Heart Rhythm Society 2023

2022

• Transfer Learning in Heart Sound Classification using Mel spectrogram, Xin Li, G Andre Ng, Fernando S Schlindwein, CinC2022 

• Can sequentially collected electrograms be effectively used for dominant frequency mapping during persis-tent AF? Xin Li, Charlie Hugill, Gavin S. Chu, Mahmoud Ehnesh, Tiago P. Al-meida, Bharat Sidhu, Ibrahim Antoun, Ahmed Kotb, Peter J. Stafford, G. Andre Ng, Fernando S. Schlindwein, CinC2022 

2021

• Spatio-temporal ECG Network for Detecting Cardiac Disorders from Multi-lead ECGs. Chen L, Jiang Z, Almeida TP, Schlindwein FS, Shoker JS, Ng GA, Zhou H, Li X, CinC 2021 

2020

• Diagnostic of multiple cardiac disorders from 12-lead ECGs using Graph Convolutional Network based multi-label classification. Jiang Z, Almeida TP, Schlindwein FS, Ng GA, Zhou H, Li X, CinC 2022 

• P439Could regional electrogram desynchronization identified using mean phase coherence be potential ablation targets in persistent atrial fibrillation? X Li, B Sidhu, T P Almeida, M Ehnesh, A Mistry, Z Vali, V Pooranachandran, G S Chu, P J Stafford, F S Schlindwein, G A Ng, , EP Europace, Volume 22, Issue Supplement_1, June 2020, euaa162.013,

2019 and before

• Li et al. “A Convolutional Neural Network for Early Detection of Sepsis using Hourly Physiological Data from Patients in Intensive Care Unit”, Computing in Cardiology Conference (CinC), 2019 

• Li et al. “Machine learning classifiers for predicting catheter ablation responses using non-contact electrograms during persistent atrial fibrillation” EHRA 2019 - the annual congress of the European Heart Rhythm Association 

• Li et al. “Dominant Frequency Variability Mapping for Identifying Stable Drivers During Persistent Atrial Fibrillation Using Noncontact Mapping”. Computing in Cardiology Conference (CinC), 2018 

• Li et al. “A K-Nearest Neighbour Classifier for Predicting Catheter Ablation Responses Using Noncontact Electrograms During Persistent Atrial Fibrillation”. Computing in Cardiology Conference (CinC), 2018 

• Li et al. “Improving target identification of persistent atrial fibrillation ablation using simultaneous intracardiac mapping”, EP Europace, Volume 19, Issue suppl_1, 1 October 2017, Pages i14, at Heart Rhythm Congress(HRC) 2017 

• Li et al. “Characteristics of ablated rotors in terminating persistent atrial fibrillation using non-contact mapping”, EP Europace, Volume 19, Issue suppl_1, 1 October 2017, Pages i3,at Heart Rhythm Congress(HRC) 2017, Young Investigator Competition Finalist

• Li et al.  “Investigation on Recurrent High Dominant Frequency Spatiotemporal Patterns in Atrial Fibrillation”. Computing in Cardiology Conference (CinC), 2015 

• Li et al. “Recurrent High Dominant Frequency Patterns in Persistent Atrial Fibrillation”. Heart Rhythm Congress 2015 

• Li et al.  "A platform to guide catheter ablation of persistent atrial fibrillation using dominant frequency mapping," in Computing in Cardiology Conference (CinC), 2014 

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