Curriculum Vitae
Md Abu Sufian
PhD Researcher · Multimodal AI for Cardiomyocyte Ageing to Heart Failure · Medical Imaging
Research Interests
I am a PhD researcher developing multimodal AI for cardiovascular imaging and computational cardiomyocyte phenotyping. My research focuses on cardiomyocyte ageing using medical imaging, Vision Transformers, temporal modelling, self-supervised learning, and explainable AI to identify biologically meaningful imaging biomarkers.
More broadly, I am interested in integrating imaging, functional, clinical, and molecular data for cardiovascular research and precision medicine, with related work in cardiac MRI, cardiac electrophysiology, vision-language models, oncology imaging, and computational pathology.
Core Research Areas
Cardiovascular AI
Cardiomyocyte ageing · Heart failure · Cardiac MRI · Cardiac electrophysiology · Cardiovascular imaging
Medical AI
Medical image analysis · Computational phenotyping · Imaging biomarkers · Precision medicine · Computational pathology
Artificial Intelligence
Vision Transformers · Temporal Transformers · Self-supervised learning · Multimodal learning · Vision-language models · Deep learning · Explainable AI
Biomedical Data
Microscopy · Cellular imaging · Video analysis · Clinical data · Molecular biomarkers · Multimodal biomedical data
Education
Jan 2025 – Present
PhD in Computer Science
University of East London, London, United Kingdom
Research area: Multimodal AI for Cardiomyocyte Ageing and Cardiovascular Imaging.
Funding: Research Excellence ACE Doctoral Scholarship (full tuition-fee waiver).
Funding: Research Excellence ACE Doctoral Scholarship (full tuition-fee waiver).
Sep 2020 – Jan 2023
MSc in Data Analysis for Business Intelligence with Industry
University of Leicester, Leicester, United Kingdom
Relevant modules: Mathematical Modelling, Data Mining and Neural Networks, Financial Services Information Systems, and Data Analytics for Esports.
Jan 2019 – Jul 2020
International MBA (IMBA)
Birmingham City University, Birmingham, United Kingdom
Relevant modules: Global Marketing Management, Managing Financial Performance, International Operations and Project Management.
Research Experience
Jan 2025 – Present
PhD Researcher
University of East London, London, United Kingdom
Jan 2023 – Jul 2026
Research Associate, Part-Time / Hybrid
IVR Research Institute / Chang'an University, Xi'an, China
Dec 2023 – Jun 2024
Researcher(Collres), Part-Time, Hybrid
University of Birmingham, Birmingham, UK
Teaching & Supervision
Jan 2026 – Present
MSc Bioinformatics Project Supervisor, Associate Tutor and Hourly Paid Lecturer
Institute of Structural and Molecular Biology (ISMB), Birkbeck-UCL, Birkbeck University of London, UK
Publications
16
Papers & chapters
6
Q1 journals
2
As co-author
Conference Presentations
28
Conference presentations
24
As first author
10
Countries
Professional Appointments
2025 – Present
Adobe Student Ambassador
Focus on data visualisation, design-led communication, and responsible use of AI tools in research and analytics.
Verified Link
Relevant Work Experience
Feb 2023 – Jun 2024
Data Analyst
Midland Heart Ltd, United Kingdom
Jun 2022 – Oct 2022
Graduate Research Assistant, HSBC project
HSBC Financial Services Company, London, UK
Project: Machine Learning and Sustainability Metrics: Optimising Risk Assessment and Default Prediction
Aug 2021 – Jun 2022
Data Analyst, Internship
ASAP Data Solution Ltd., Hatfield, United Kingdom
Awards & Achievements
Conference Scholarship — Stanford University
- AI+Health Conference, December 2023 and December 2024
- Stanford University School of Medicine
- Center for Continuing Medical Education
Conference Scholarship — The Royal Society
- UKRI Funded (UK Research and Innovation)
- Landscape Decisions Programme 2023
- University of Leicester
- Amount: 600 GBP
Bootcamp Scholarship — WMCA
- Birmingham City University
- Digital Skills for Smart Manufacturing
- Machine Learning and AI Applications
- Amount: 2100 GBP
Travel Grant — British Cardiovascular Research Society
- Annual Meeting, June 2025
- British Heart Foundation
- Abstract Accepted
Research Excellence ACE Doctoral Scholarship
- University of East London, Nov 2024
- Full PhD tuition-fee waiver
- Estimated tuition-fee value: approximately £72,000 over the doctoral programme
Financial Aid Award Waiver MLSS NYC 2026
- Machine Learning Summer School NYC 2026, USA
- Registration Fee, Air Ticket, and Housing Fee
- Total Amount: 4237 USD
- Award Body: Columbia University, Cornell University, NYU Center for Data Science, Stony Brook University, Bloomberg (Organisers)
Global Experience Turing Scheme
- Global Internship, University of East London
- Amount: 1000 GBP
- Verified Letter Link
Family Support Award
- Cell Press Symposia: Hallmarks of Aging (Elsevier Conferences)
- Amount: 350 EUR
- Verified Conference Link
Peer Review Activities
NeurIPS 2025
Reviewer, ML Workshop @ NeurIPS 2025 & 2026
Reviewed 5 workshop submissions.
JACC: Cardiovascular Interventions
Reviewer
JACC: Cardiovascular Interventions (Journal of the American College of Cardiology)
Invited manuscript reviewer, 2025.
Editorial Role
2025 – Present
Heartbeat Junior Editor
Affiliations: British Cardiovascular Society, British Heart Foundation, British Society for Cardiovascular Research
Term: 2025 – Present
Scope: Cardiology, clinical insights, AI in cardiovascular care
Term: 2025 – Present
Scope: Cardiology, clinical insights, AI in cardiovascular care
Professional Development
AI in Healthcare: Applications and Concepts, Harvard T.H. Chan School of Public Health, Harvard University, Fellowship (On campus)
AI and Digital Transformation in Health Care, Critical Thinking, University of Cambridge (On campus – summer programme)
ML in Health and Bio, Application of ML in Medicine and Biomedical Sciences, Mathematical Institute, University of Oxford (On campus – summer programme)
Mediterranean Machine Learning Summer School, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, Croatia (On campus – funded, Sep 2025)
Focus areas: computer vision, generative and diffusion models, core AI foundations (deep learning, reinforcement learning, GNNs), reasoning LLMs, multimodality, world models, ethics and safety in machine learning, and real-world applications (robotics, bio-LLMs, start-ups, evaluation).
Poster Presentation Title: CardioFlowFormer
Focus areas: computer vision, generative and diffusion models, core AI foundations (deep learning, reinforcement learning, GNNs), reasoning LLMs, multimodality, world models, ethics and safety in machine learning, and real-world applications (robotics, bio-LLMs, start-ups, evaluation).
Poster Presentation Title: CardioFlowFormer
Professional Membership
Royal Statistical Society (Fellow) - Ref. 224591
IEEE Young Professional - Ref. 98514633
British Computer Society - Ref. 995126302
London Mathematical Society
British Society for Cardiovascular Research
American College of Cardiology - Ref. 20069558
European Society of Cardiology - Ref. ESC ID: 1504380
British Association for Cancer Research (“BACR”) - Ref.: BAC008099
European Association for Cancer Research (“EACR”) - Ref.: EACR45896
References
Available on request