Dr Xin Li

Lecturer in Biomedical Engineering


School/Department: Engineering, School of

Telephone: +44 (0)116 229 7380


Address: E1001, Engineering Building


Research gate

Group webpage


I am a Lecturer in Biomedical Engineering jointly appointed at the School of Engineering and Department of Cardiovascular Sciences.

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 University of Leicester 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









2019 and before


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.



Mohamed Rumi Ismail (PT) - 2021 - 

Noor N Qaqos 2022 - 

Ekenedirichukwu Obianom 2022

Shamsu Abdullahi 2023-

Fan Feng 2023-



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


Dr Sharon Man



Dr Zheheng Jiang

Dr Long Chen 

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




EG1006 - Engineering Design and Experimentation – Academic Lead

EG7020 - MSc Individual Project

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

EG3005 - Individual Project - 3rd year Engineering projects

EG1201 Electrical & Electronic Engineering (Internal Assessor)

EG2321 Computational Engineering Methods - Module Convenor

iMSc Medical Research (Intercalated)


EG2004 - Engineering Experimentation and Analysis – Academic Lead

CTGU04 Communications

CTGU05 Automatic Control Theory

CTGU10 Signals and Systems

CTGU11 Electromagnetism

CTGU12 Electrical Engineering

Press and media

Call for Papers

Submissions are welcome to our research topic in Frontiers in Physiology on Computational Methods in Cardiac rhythm disturbances.


Deadline: 01 Nov2023



  • School of Engineering Plagiarism Officer

  • School of Engineering Appeals panel members

  • Session Chair at Computing in Cardiology 2022

  • Grant reviewer of Medical Research Council (MRC)

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

  • 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

  • Research Topic 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)


Grants and awards

  • BHF Accelerator ECR Interdisciplinary Fellowship : LifeMap-VR: utilizing virtual reality for enhanced cardiac stress testing and risk stratification for sudden cardiac death. 2023/24, £63k (PI).

  • MRC IAA Funding: Bench testing and refinement of an ultra-cost-effective heart rhythm monitoring solution prototype. 2023/24, £66k (PI).

  • National Institute for Health Research: - LifeMap – Quality-assurance User-focussed Evaluation of Safety and Tolerability (LifeMap-QUEST) : developing LifeMap-Vest and LifeMap-Compute for exercise assessment with optimised digital ECG recording for sudden death risk stratification. £ 840k 2023/25 (CI)

  • Knowledge Exchange, Impact and Proof of Concept Fund 2022-23. £4k, 2023 (PI)

  • LD3 MRC IAA Funding: Developing an ultra-low-cost heart rhythm monitoring solution for remote consultations and telemedicine using peripheral attachments to smart phones, PCs or tablets. 2022, £72k (PI).

  • Knowledge Exchange Impact and Proof of Concept fund: Towards utilising a novel non-invasive test for risk stratification for sudden cardiac death. 2022. £5.5k (CI).

  • The van Geest Heart and Cardiovascular Diseases Research Fund. "Deep learning methods for early detection of myocardial ischemia using digital and paper ECGs", 2020/21, £11.8k (PI)

  • MRC Confidence in Concept funds 2020 (Leicester Drug Discovery and Diagnostics (LD3)): Optimising deep neural networks for fully automating a novel technology for risk stratification of sudden cardiac death. 2020/21. £43k (CI)

  • ECR and research staff funding - Doctoral College - Short-term visiting grants, 2019. £4k (PI)

  • IAX Events and Meetings Funding. ‘’Industrial meeting: Intelligent systems for target identification of catheter ablation in atrial fibrillation’’ 2019. £1k (PI)

  • Biomedical Catalyst DPFS Developmental Pathway Funding (MR/S00582X/1). ‘’Development of a successful novel technology for sudden cardiac death risk stratification for clinical use – LifeMap’’ 2019/22. £1m (NC)

  • British Heart Foundation Project Grant (PG/18/33/33780). “Improving target identification for catheter ablation using dominant frequency and rotor analysis in human persistent atrial fibrillation using non-contact mapping” 2018/20. £93k (NC)

  • MRC Confidence in Concept funds 2019 (Leicester Drug Discovery and Diagnostics (LD3)): Deep learning for refining LifeMap - a new technology for risk stratification of sudden cardiac death, 2019/20. £43k (CI)

  • MRC Confidence in Concept funds 2017 (Leicester Drug Discovery and Diagnostics (LD3)): Towards commercialising LifeMap as a novel clinical tool for assessing risk of sudden cardiac death, 2017/18. £42k (NC)

  • MRC Proximity to Discovery (P2D): Adhoc Industry Engagement Activities. Improving efficacy of catheter ablation for atrial fibrillation, 2016/17. £3k (PI)

  • Journal Paper selected as Editor's Choice - Computer Methods and Programs in Biomedicine - April 2017 - An interactive platform to guide catheter ablation in human persistent atrial fibrillation using dominant frequency, organization and phase mapping.

  • Young Investigator Competition Finalist at Heart Rhythm Congress 2017 “Characteristics of Ablated Rotors in Terminating Persistent Atrial Fibrillation using Non-Contact Mapping”, Xin Li, Gavin S Chu, Tiago P Almeida, João L Salinet, Nawshin Dastagir, Amar R Mistry, Zakariyya Vali, Peter J Stafford, Fernando S Schlindwein, G André Ng

*(PI: principle investigator; CI: co-investigator;  NC: named candidate)

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